Dr. Ramesh Dharavath H N
Researchgate
Researchgate Link
DBLP
DBLP Link
Google Scholar
Google Scholar Link
IEEE Publication
IEEE Publications Link
Int. Journals
[Published & Accepted]
Yuwen Liu., Huiping Wu., Khosro Rezaee., Mohammad R. Khosravi., Osama Khalaf., Arif Ali Khan., Dharavath Ramesh., Lianyong Qi.(2022). Interaction-enhanced and Time-aware Graph Convolutional Network for Successive Point-of-Interest Recommendation in Travelling Enterprises. IEEE Transactions on Industrial Informatics, IEEE. [Accepted & In Press].
Debadatta Niak.,Dharavath Ramesh., & Naveen B.G.(2022). Enhanced Link Prediction using Sentiment Attribute and Community Detection. Ambient Intelligence and Humanized Computing, Springer. [Accepted & In Press].
Naela Rizvi., Dharavath Ramesh., Lipo Wang., & Annappa. B.(2022). A Workflow Scheduling Approach with Modified Fuzzy Adaptive Genetic Algorithm in IaaS clouds. IEEE Transactions on Services Computing, IEEE. [10.1109/TSC.2022.3174112]. Click here to view
Naela Rizvi., Dharavath Ramesh., Srinivasa Rao P. C., & Koushik Mondal.(2022). Intelligent salp swarm scheduler with fitness based quasi-reflection method for scientific workflows in hybrid cloudfog environment. IEEE Transactions on Automation Science and Engineering, IEEE. [10.1109/TASE.2022.3170549]. Click here to view
Pankaj Pal., Rashmi P. S., Sachin T., C Kumar., & Dharavath Ramesh.(2022). Machine Learning Regression for RF Path Loss Estimation Over Grass Vegetation in IoWSN Monitoring Infrastructure. IEEE Transactions on Industrial Informatics, IEEE. [10.1109/TII.2022.3142318]. Click here to view
Shashi Raj & Dharavath Ramesh.(2022). PartEclat: An improved Eclat-based frequent itemset mining algorithm on Spark clusters using partition technique. Journal of Cluster Computing, Springer. [https://doi.org/10.1007/s10586-022-03673-5]. Click here to view
Rahul Mishra., Dharavath Ramesh., D. Reddy E., & Lianyong Qi.(2022). DS-Chain: A Secure and Auditable Multi-Cloud Assisted EHR Storage Model on Efficient Deletable Blockchain. Journal of Industrial Information Integration, Elsevier. [https://doi.org/10.1016/j.jii.2021.100315]. Click here to view
Rahul Mishra., Dharavath Ramesh., D. Reddy E., & Nazeeruddin Mohd.(2022). Fibonacci Tree Structure based Privacy Preserving Public Auditing for IoT Enabled Data in Cloud Environment. Computers and Electrical Engineering, Elsevier. [https://doi.org/10.1016/j.compeleceng.2022.107890]. Click here to view
Satosh T., Dharavath Ramesh., Achyut. S., Prabhishek. S., Manoj. D., & Md. R. Khosravi.(2022). RST-DE: Rough sets-based new differential evolution algorithm for scalable big data feature selection in distributed computing platforms. Journal of Big Data, Marry Ann Libert, Inc. Publishers. [https://doi.org/10.1089/big.2021.0267]. Click here to view
Rahul Mishra., Dharavath Ramesh., D. Reddy E., & Munesh Chandra.T.(2021). Blockchain assisted privacy-preserving public auditable model for cloud environment with efficient user revocation. Journal of Cluster Computing, Springer. [https://doi.org/10.1007/s10586-021-03508-9]. Click here to view
Debdatta Naik., Dharavath Ramesh., Amir H. Gandomi., & Naveen B G.(2021). Parallel and Distributed Paradigms for Community Detection in Social Networks: A Methodological Review. Expert Systems with Applications, Elsevier. [https://doi.org/10.1016/j.eswa.2021.115956]. Click here to view
Sonal Jain., Dharavath Ramesh., & Diptendu Bhattacharya. (2021). A Multi-objective Algorithm for Crop Pattern Optimization in Agriculture. Applied Soft Computing, Elsevier. [https://doi.org/10.1016/j.asoc.2021.107772]. Click here to view
Sonal Jain & Dharavath Ramesh. (2021). Memetic salp swarm optimization algorithm based feature selection approach for crop disease detection system. Journal of Ambient Intelligence and Humanized Computing, Springer. [https://doi.org/10.1007/s12652-021-03406-3]. Click here to view
Rashmi P. S., Dharavath Ramesh., Pankaj P.,Sachin. T., & C. Kumar.(2021). IoT enabled IEEE 802.15.4 WSN monitoring infrastructure driven Fuzzy-logic based Crop pest prediction. Internet of Things Journal, IEEE. [10.1109/JIOT.2021.3094198]. Click here to view
Dharavath Ramesh., Mishra R., & Trivedi M C. (2021). PCS-ABE (t, n): A Secure Threshold Multi Authority CP-ABE Scheme based Efficient Access Control Systems for Cloud Environment. Ambient Intelligence and Humanized Computing, Springer. [10.1007/s12652-020-02643-2]. Click here to view
Sonal Jain., Dharavath Ramesh & Diptendu B. (2021). A Multi-objective Algorithm for Crop Pattern Optimization in Agriculture. Applied Soft Computing, Elsevier. [https://doi.org/10.1016/j.asoc.2021.107772]. Click here to view
Pankaj P., Rashmi P. S., Sachin. T., C. Kumar., & Dharavath Ramesh.(2021). 2.4 GHz RF Received Signal Strength Based Node Deployment for WSN Monitoring Infrastructure in Millet and Rice vegetation. IEEE Sensors Journal, IEEE. [10.1109/JSEN.2021.3083552]. Click here to view
Annushree B., Damodar Reddy E., V Kuppili., & Dharavath Ramesh.(2021). Lie detection using fuzzy ensemble approach with novel defuzzification method for classification of EEG signals. IEEE Transactions on Instrumentation and Measurement, IEEE. [10.1109/TIM.2021.3082985]. Click here to view
Rashmi P., Dharavath Ramesh & Venkannu U. (2021). NSGA-2 Optimized Fuzzy Inference System for Crop Plantation Correctness Index Identification. IEEE Transactions on Sustainable Computing, IEEE Comp. Society, IEEE. [10.1109/TSUSC.2021.3064417]. Click here to view
Amruta L., Damodar Reddy E., & Dharavath Ramesh.(2021). Fuzzy Rule Generation using Modified PSO for Clustering in Wireless Sensor Networks. IEEE Transactions on Green Communications and Networking, IEEE Comunic. Society, IEEE. [10.1109/TGCN.2021.3060324]. Click here to view
Madhukar Rao G., & Dharavath Ramesh.(2021). DSSAE-BBOA: Deep learning-based weather big data analysis and visualization. Multimedia Tools and Applications, Springer. [https://doi.org/10.1007/s11042-021-11059-9]. Click here to view
Amruta L., Damodar Reddy E., & Dharavath Ramesh.(2021). Prediction of malignancy in lung nodules using combination of Deep, Fractal and GLCM Features. Journal of Big Data, Marry Ann Libert, Inc. Publishers. [10.1089/big.2020.0190]. Click here to view
Naela R., Dharavath Ramesh., & D. Reddy. Edla.(2021). Cost and makespan aware workflow scheduling in IaaS clouds using hybrid spider monkey optimization. Simulation Modelling Practice and Theory, Elsevier. [https://doi.org/10.1016/j.simpat.2021.102328]. Click here to view
Pankaj P., Rashmi P. S., Sachin. T., C. Kumar., & Dharavath Ramesh.(2021). Genetic Algorithm Optimized Node Deployment in IEEE 802.15.4 Potato and Wheat Crop Monitoring Infrastructure. Scientific Reports, Nature Research. [https://doi.org/10.1038/s41598-021-86462-1]. Click here to view
Amruta L., Damodar Reddy E., & Dharavath Ramesh.(2021). Energy Efficient Fuzzy Clustering and Routing using BAT algorithm. Wireless Networks, Springer. [https://doi.org/10.1007/s11276-021-02615-0]. Click here to view
Dharavath Ramesh., Rahul Mishra., & Munesh C. Trivedi (2020). PCSABE(t,n): A Secure Threshold Multi Authority CPABE Scheme based Efficient Access Control Systems for Cloud Environment. Journal of Ambient Intelligence and Humanized Computing, Springer. [https://doi.org/10.1007/s12652-020-02643-2]. Click here to view
Shashiraj., Dharavath Ramesh & Krishan Kr. Sethi. (2020). A Spark-based Apriori Algorithm with Reduced Shuffle Overhead. The Journal of Supercomputing, Springer. [https://doi.org/10.1007/s11227-020-03253-7]. Click here to view
Rahul Mishra., Dharavath Ramesh & Damodar Reddy Edla. (2020). BB-Tree based secure and dynamic public auditing convergence for cloud storage. The Journal of Supercomputing, Springer. [https://doi.org/10.1007/s11227-020-03456-y]. Click here to view
Rahul Mishra., Dharavath Ramesh & Damodar Reddy Edla. (2020). Dynamic Large Branching Hash Tree based Secure and Efficient Dynamic Auditing Protocol for Cloud Environment. Journal of Cluster Computing, Springer. [https://doi.org/10.1007/s10586-020-03193-0]. Click here to view
Krishan Kr. Sethi & Dharavath Ramesh (2020). High average utility itemset mining with multiple minimum utility threshold: A generalized approach. Engineering Applications of Artificial Intelligence, Elsevier. [https://doi.org/10.1016/j.engappai.2020.103933]. Click here to view
Rashmi Priya & Dharavath Ramesh (2020). ML based sustainable precision agriculture: a future generation perspective. Sustainable Computing: Informatics and Systems, Elsevier. [https://doi.org/10.1016/j.suscom.2020.100439]. Click here to view
Diwakar, T., Edla, D. R., Kuppili, V., & Dharavath Ramesh (2020). Binary BAT Algorithm and RBFN based Hybrid Credit Scoring Model.Multimedia Tools and Applications, Springer. [https://doi.org/10.1007/s11042-020-09538-6]. Click here to view
Naela Rizvi & Dharavath Ramesh (2020). HBDCWS: Heuristic based budget and deadline constrained workflow scheduling approach for heterogeneous clouds. Soft Computing, Springer. [https://doi.org/10.1007/s00500-020-05127-9]. Click here to view
Thakur Santosh., Dharavath Ramesh & Damodar Reddy Edla. (2020). LSTM based Prediction of Malaria Abundances using Big Data. Computers in Biology and Medicine, Elsevier. [https://doi.org/10.1016/j.compbiomed.2020.103859]. Click here to view
Debadatta Naik., Ranjan Kr. Behera., Dharavath Ramesh & S K Rath. (2020) Map-Reduce based centrality detection in social networks: an algorithmic approach. The Arabian Journal for Science and Engineering, Springer. [https://doi.org/10.1007/s13369-020-04636-x]. Click here to view
Madhukar Rao & Dharavath Ramesh (2020). Parallel CNN based big data visualization for traffic monitoring. Journal of Intelligent & Fuzzy Systems, IOS Press. [DOI:10.3233/JIFS-190601]. Click here to view
Shashiraj., Dharavath Ramesh & Krishan Kr. Sethi.(2020). A Spark-based Apriori Algorithm with Reduced Shuffle Overhead. Journal of Supercomputing, Springer. [https://doi.org/10.1007/s11227-020-03253-7]. Click here to view
Shashiraj., Dharavath Ramesh., Sreenu M., & Krishan Kr. Sethi.(2020). EAFIM: Efficient Apriori-based Frequent Itemset Mining Algorithm on Spark for Big Transactional Data. Knowledge and Information Systems, Springer. [https://doi.org/10.1007/s10115-020-01464-1]. Click here to view
Krishan Kr Sethi & Dharavath Ramesh (2020). A Fast High Average-utility Itemset Mining with efficient tighter upper bounds and novel list structure. Journal of Supercomputing, Springer. [https://doi.org/10.1007/s11227-020-03247-5]. Click here to view
Ranjan Kr. Behera., Debadatta Naik., Dharavath Ramesh & S K Rath. (2020) MR-IBC: Mapreduce based incremental betweenness centrality in large scale complex networks. Social Network Analysis and Mining, Springer. [https://doi.org/10.1007/s13278-020-00636-9]. Click here to view
Thankur Santosh & Dharavath Ramesh (2020). Machine Learning Approach on Apache Spark for Credit Card Fraud Detection. Journal of Systems Engineering (Ingénierie des Systèmes d’Information), IIETA. [https://doi.org/10.18280/isi.250113]. Click here to view
Naela Rizvi & Dharavath Ramesh (2020). Fair budget constrained workflow scheduling approach for heterogeneous clouds. Cluster Computing, Springer. [https://doi.org/10.1007/s10586-020-03079-1]. Click here to view
Santosh T., Dharavath Ramesh, & Damodar Reddy Edla. (2020) Spark and Rule-KNN based Scalable Machine Learning Framework for EEG Deceit identification. Biomedical Signal Processing and Control, Elsevier. [https://doi.org/10.1016/j.bspc.2020.101886]. Click here to view
Lipare A., Damodar Reddy Edla., & Dharaavath Ramesh (2020). Energy Efficient Routing Structure to Avoid Energy Hole Problem in Multi-Layer Network Model. Wireless Personal Communications, Springer [DOI:10.1007/s11277-020-07165-w]. Click here to view
Bablani, A., Edla, D. R., Kuppili, V., & Dharaavath Ramesh (2020). A multi stage EEG data classification using k-means and feed forward neural network. Clinical Epidemiology and Global Health, Elsevier. [https://doi.org/10.1016/j.cegh.2020.01.008]. Click here to view
Ekaansh Khosla., Dharavath Ramesh, & Rashmi Priya (2020). Crop yield prediction using aggregated rainfall-based modular artificial neural networks and support vector regression. Environment, Development and Sustainability, Springer. [DOI:https://doi.org/10.1007/s10668-019-00445-x]. Click here to view
Rashmi Priya., Dharavath Ramesh, & Ekaansh Khosla (2020). Biodegradation of pesticides using density based clustering on cotton crop affected by Xanthomonas malvacearum. Environment, Development and Sustainability, Springer. [https://doi.org/10.1007/s10668-018-0251-7]. Click here to view
Damodar Reddy E., Diwakar Tripathi., Venkatanareshbabu K & Dharavath Ramesh (2019). Multilevel Automated Security System for Prevention of Accidents at Unmanned Railway Level Crossings. Wireless Personal Communications, Springer. [DOI:https://https://doi.org/10.1007/s11277-019-06952-4]. Click here to view
Ranjan Kr. Behera., Debadatta Naik., Santanu Kr. Rath & Dharavath Ramesh (2019). Genetic algorithm-based community detection in large-scale social networks. Neural Computing and Applications, Springer. [DOI:https://doi.org/10.1007/s00521-019-04487-0]. Click here to view
Dharavath Ramesh & Navaljeet Singh Arora (2019). Spark’s GraphX-based link prediction for social communication using triangle counting. Social Network Analysis and Mining, Springer. Vol 9(28). [DOI:https://doi.org/10.1007/s13278-019-0573-y]. Click here to view
Dharavath Ramesh Samuel Nyakotey & Damodar Reddy Edla(2019). MapReduce based integration of health hubs: a healthcare design approach. Health and Technology, Springer. [DOI:https://doi.org/10.1007/s12553-019-00321-8]. Click here to view
Dharavath Ramesh, Sweta Dey & Raju Bhukya (2019). Heuristic and fair-queuing based VM load balancing strategy for cloud data centers: A hybrid approach.
Multiagent and Grid Systems, IOS Press. Vol. 15(Issue 1), pp. 19-38.
[DOI: 10.3233/MGS-190300].
Click here to view
Thankur Santosh., & Dharavath Ramesh (2019). Artificial neural network based prediction
of malaria abundances using big data: A knowledge capturing approach.
Clinical Epidemiology and Global Health, Elsevier. Vol. 7(Issue 1), pp. 121-126.
[https://doi.org/10.1016/j.cegh.2018.03.001].
Click here to view
Dharavath Ramesh and Yogendra Singh K(2019). Ensemble method based predictive model for analyzing disease datasets: a predictive analysis approach. Health and Technology, Springer. [DOI:https://doi.org/10.1007/s12553-019-00299-3]. Click here to view
Shubham D., Damodar Reddy E., Annushree B., Dharavath Ramesh and Venkatanareshbabu K(2019). An Efficient EEG based Deceit Identification Test using Wavelet Packet Transform and Linear Discriminant Analysis. Journal of Neuroscience Methods, Elsevier. Vol. 314, pp. 31-40. [DOI: https://doi.org/doi:10.1016/j.jneumeth.2019.01.007]. Click here to view
Naela Rizvi and Dharavath Ramesh(2019). FBQ-LA: Fuzzy based Q-Learning approach for elastic workloads in cloud environment. Journal of Intelligent & Fuzzy Systems, IOS Press. Vol. 36(Issue 3), pp. 2715-2728. [DOI: 10.3233/JIFS-18828]. Click here to view
B Naresh K Reddy., Ch. Ramalingaswamy., R. Nagulapalli & Dharavath Ramesh (2018). A novel 8T SRAM with improved cell density. Analog Integrated Circuits and Signal Processing, Springer. [https://doi.org/10.1007/s10470-018-1309-z]. Click here to view
Dharavath Ramesh., Rashmi Priya Sharma, & Damodar Reddy Edla (2018). HHDSCC: Harnessing Healthcare Data Security in Cloud Using Ciphertext Policy Attribute Based Encryption. International Journal of Information and Computer Security. Inderscience Publishers, (In Press). [DOI: yet to be issued]. Click here to view
Cheruku, R., Edla, D. R., Kuppili, V., & Dharavath Ramesh (2018). RST-BatMiner: A fuzzy rule miner integrating rough set feature selection and Bat optimization for detection of diabetes disease. Applied Soft Computing, Elsevier, Vol. 67: 764-780. [https://doi.org/10.1016/j.asoc.2017.06.032]. Click here to view
Cheruku, R., Edla, D. R., Kuppili, V., Dharavath Ramesh., & Beechu, N. R. (2017). Automatic disease diagnosis using optimised weightless neural networks for low-power wearable devices. Healthcare technology letters, IET Journal, 4(4), 122-128. [DOI:10.1049/htl.2017.0003]. Click here to view
Krishan Kumar Sethi and Dharavath Ramesh (2017). HFIM: A Spark Based Hybrid Frequent Itemset Mining Algorithm for Big Data Processing. Journal of Super Computing, Springer, Vol. 73, Issue 8, pp. 3652-3668. [DOI:10.1007/s11227-017-1963-4]. Click here to view
Dharavath Ramesh., Mishra, R., & Edla, D. R (2017). Secure Data Storage in Cloud: An e-Stream Cipher-Based Secure and Dynamic Updation Policy. Arabian Journal for Science and Engineering, Springer, Volume 42, Issue 2, pp. 873-883. [DOI:10.1007/s13369-016-2357-2]. Click here to view
Dharavath Ramesh., Kumar, C., and Jain, A.K. (2017). Preserving atomicity and isolation for multi-row transactions in column oriented heterogeneous distributed databases. Int. Journal of Information and Communication Technology (IJICT), Inderscience Publishers, Vol. 10(1), pp.96–118. [ http://dx.doi.org/10.1504/IJICT.2017.10001309]. Click here to view
Dharavath Ramesh and Chiranjeev Kumar (2015). Entity resolution based EM for integrating heterogeneous distributed probabilistic data. The Journal of Systems and Software, Elsevier, Vol. 107, pp. 93-109. [DOI: 10.1016/j.jss.2015.05.035]. Click here to view
Dharavath Ramesh and Chiranjeev Kumar (2015).
A scalable generic transaction model scenario for distributed NoSQL databases.
The Journal of Systems and Software, Elsevier, Vol. 101, pp. 43-58. [DOI: 10.1016/j.jss.2014.11.037].
Click here to view
Dharavath Ramesh., and Chiranjeev Kumar (2015). Schema integration based merging and matching algorithm for agricultural HDDBs. Arabian Journal for Science and Engineering, Springer, Vol. 40, Issue 9, pp. 2555-2569. [DOI:10.1007/s13369-015-1735-5]. Click here to view
Ramesh. D, Kumar, C., and Bitthal K (2015). An incremental hash based optimistic concurrency control scenario for failure management in HDDBs – An application approach. Journal of Intelligent Information and Database Systems (IJIIDS), Inderscience publishers, Volume. 9(1), pp. 79-102.. [DOI:https://doi.org/10.1504/IJIIDS.2015.070826]. Click here to view
G Madhukar Rao and Dharavath Ramesh (2016). Supervised Learning Techniques for Big Data: A Survey. International Journal of Control Theory and Applications (IJCTA) - International Science Press, Vol.9, pp. 3811-3891. [http://serialsjournals.com/journal-detail.php?journals_id=268]. Click here to view
Ramesh. D, and Kumar, C (2014). Design of byzantine fault-tolerant transaction commit protocol for heterogeneous distributed databases. Journal of Intelligent Information and Database Systems (IJIIDS), Inderscience publishers, Volume. 8(2), pp. 127-149.. [https://doi.org/10.1504/IJIIDS.2014.063248]. Click here to view
Dharavath Ramesh., Priya, R., & Mishra, R (2016). An Efficient Probabilistic tracing scheme for Multi Authority CP-ABE for Cloud Storage. International Journal of Control Theory and Applications (IJCTA) - International Science Press, Vol.8(5), 2015, pp. 2451-2458. Click here to view
Books Chapters & Books Published
[Published & Accepted]
Dharavath Ramesh., & Trivedi, M. C. (2022). "MySQL Collaboration by Approving and Tracking Updates with Dependencies: A Versioning Approach.." Computational Science and Its Applications, Springer. [https://doi.org/10.1007/978-3-031-10548-7_28]. Click here to view
Sneha S., Dharavath Ramesh., & Hemika J B. (2022). "Ethereum MongoDB: Integrating Blockchain with Non-Relational Databases." Lecture Notes on Data Engineering and Communications Technologies, Springer. [https://doi.org/10.1007/978-981-16-7182-1_2]. Click here to view
Jayaramu, H K., Dharavath Ramesh., & Sonal Jain (2022). "E-SMO based Plant Leaf Disease Identification: A Machine Learning Approach." Computer Vision and Machine Learning in Agriculture, Springer. [https://doi.org/10.1007/978-981-16-9991-7_10]. Click here to view
Naik A., Edla D.R., & Dharavath Ramesh. (2022). "A Deep Feature Concatenation Approach for Lung Nodule Classification." Lecture Notes in Networks and Systems, Springer. [https://doi.org/10.1007/978-3-030-82469-3_19]. Click here to view
Rizvi. N & Dharavath Ramesh. (2022). "DRP-DBAS: Dynamic Resource Provisioning for Deadline and Budget Aware Workflow Scheduling in IaaS Clouds." Data Science and Computational Intelligence, Springer. [https://doi.org/10.1007/978-3-030-91244-4_13]. Click here to view
Dharavath Ramesh., Sethi K.K., & Rathore A. (2022). "Positive Correlation Based Efficient High Utility Pattern Mining Approach." Data Science and Computational Intelligence , Springer. [https://doi.org/10.1007/978-3-030-91244-4_22]. Click here to view
Rao, G. M., & Dharavath Ramesh. (2021). "A Hybrid and Improved Isolation Forest Algorithm for Anomaly Detection." Intelligent Technologies and Robotics, Springer. [https://doi.org/10.1007/978-981-15-7234-0_55]. Click here to view
Rao, G. M., & Dharavath Ramesh. (2021) "Ranger Random Forest-Based Efficient Ensemble Learning Approach for Detecting Malicious URLs." Intelligent Technologies and Robotics, Springer. [https://doi.org/10.1007/978-981-15-7234-0_56]. Click here to view
Sethi. K. K & Dharavath Ramesh. (2021) "Correlated High Average-Utility Itemset Mining." Evolution in Computational Intelligence, Springer. [https://doi.org/10.1007/978-981-15-5788-0_47]. Click here to view
Santosh T & Dharavath Ramesh. (2020) "DENCLUE-DE: Differential Evolution Based DENCLUE for Scalable Clustering in Big Data Analysis." Lecture Notes on Data Engineering and Communications Technologies, Springer, Cham. [https://doi.org/10.1007/978-3-030-37051-0_50]. Click here to view
Naela. R., & Dharavath Ramesh. (2020) "Design of a Scheduling Approach for Budget-Deadline Constrained Applications in Heterogeneous Clouds." Lecture Notes in Computer Science, Springer, Cham. [https://doi.org/10.1007/978-3-030-36987-3_12]. Click here to view
Dharavath Ramesh., Madhukar Rao., Khurana H., Edla D R. (2020) "t-SNE Manifold Learning Based Visualization: A Human Activity Recognition Approach." Lecture Notes on Data Engineering and Communications Technologies, Springer, Singapore. [https://doi.org/10.1007/978-981-15-0978-0_3]. Click here to view
Dharavath Ramesh., Kumar A., Vinod Kumar D. (2020) "Capturing Anomalies of Cassandra Performance with Increase in Data Volume: A NoSQL Analytical Approach." Lecture Notes on Data Engineering and Communications Technologies, Springer, Singapore. [https://doi.org/10.1007/978-981-15-0978-0_1]. Click here to view
Mishra R., Dharavath Ramesh ., Edla D R & Sah, M K. (2020) "Binary Binomial Tree Based Secure and Efficient Electronic Healthcare Record Storage in Cloud Environment." Communications in Computer and Information Science, Springer, Cham. [https://doi.org/10.1007/978-3-030-37484-6_10]. Click here to view
Naik D., Gorojanam N B & Dharavath Ramesh (2020) "Community Based Emotional Behaviour Using Ekman’s Emotional Scale." Communications in Computer and Information Science, Springer, Cham. [https://doi.org/10.1007/978-3-030-37484-6_4]. Click here to view
Dharavath Ramesh & Syam Kumar Pasupuleti. (2020) "A Novel AckIBE based Secure Cloud Data Management Framework." Handbook of Computer Networks and Cyber Security: Principles and Paradigms. Springer Nature Switzerland AG [ ISBN10: 3030222764, 1st ed. 2020]. Click here to view
G M Rao., Dharavath Ramesh & Kumar, A. (2020) "RRF-BD: Ranger Random Forest Algorithm for Big Data Classification." Computational Intelligence in Data Mining, Springer, Singapore. [DOI:10.1007/978-981-13-8676-3_2.]. Click here to view
Dharavath Ramesh., Rahul Mishra, Damodar Reddy Edla and Madhu Sake (2019) "Secure Identity-Based Proxy Signature With Computational Diffie-Hellman for Cloud Data Management." Modern Principles, Practices, and Algorithms for Cloud Security. IGI-Global. [DOI:10.4018/978-1-7998-1082-7.ch004.]. Click here to view
Rashmi Priya., Dharavath Ramesh (2018) "Adaboost.RT Based Soil N-P-K Prediction Model for Soil and Crop Specific Data: A Predictive Modelling Approach." In book: Big Data Analytics, Springer, Singapore. [DOI:10.1007/978-3-030-04780-1_22.]. Click here to view
Dharavath Ramesh., Rahul Mishra., Pandit A.K. (2018) "An Efficient Stream Cipher Based Secure and Dynamic Updation Method for Cloud Data Centre." In book: Soft Computing Systems, Springer, Singapore. [DOI: 10.1007/978-981-13-1936-5_53.]. Click here to view
Dharavath Ramesh., Patidar N., Vunnam T., Kumar G. (2018) "Accelerating Airline Delay Prediction-Based P-CUDA Computing Environment." In: Reddy Edla D., Lingras P., Venkatanareshbabu K. (eds) Advances in Machine Learning and Data Science. Advances in Intelligent Systems and Computing, Vol 705. Springer, Singapore. [DOI: 10.1007/978-981-10-8569-7_2.]. Click here to view
Dharavath Ramesh., Biswas H., Vallamdas V.K. (2018)
"IDPC-XML: Integrated Data Provenance Capture in XML."
In: Reddy Edla D., Lingras P., Venkatanareshbabu K. (eds) Advances in Machine Learning and Data Science. Advances in Intelligent Systems and Computing, Vol 705. Springer, Singapore.
[DOI: 10.1007/978-981-10-8569-7_3].
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Santosh T., Dharavath Ramesh (2018)
"Spark Based ANFIS Approach for Anomaly Detection Using Big Data."
In: Bhattacharyya P., Sastry H., Marriboyina V., Sharma R. (eds) Smart and Innovative Trends in
Next Generation Computing Technologies. NGCT 2017. Communications in Computer and Information Science (CCIS), Vol 828: 450-458. Springer, Singapore.
[DOI: 10.1007/978-981-10-8660-1_34].
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Santosh T., Dharavath Ramesh (2018)
"KMDT: A Hybrid Cluster Approach for Anomaly Detection Using Big Data."
In: Satapathy S., Tavares J., Bhateja V., Mohanty J. (eds) Information and Decision Sciences. Advances in Intelligent Systems and Computing (AISC),
Vol 701. Springer, Singapore.
[DOI: https://doi.org/10.1007/978-981-10-7563-6_18].
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Cheruku, R., Edla, D. R., Kuppili, V., & Dharavath Ramesh (2017)
"PSO-RBFNN: A PSO-Based Clustering Approach for RBFNN Design to Classify Disease Data."
In: Lintas A., Rovetta S., Verschure P., Villa A. (eds) Artificial Neural Networks and Machine Learning – ICANN 2017. ICANN 2017. Lecture Notes in Computer Science, Vol 10614. Springer, Cham.
[DOI: https://doi.org/10.1007/978-3-319-68612-7_47].
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Dharavath Ramesh., Raj S. (2017) "Quantitative Analysis of Frequent Itemsets Using Apriori Algorithm on Apache Spark Framework." In: Behera H., Mohapatra D. (eds) Computational Intelligence in Data Mining. Advances in Intelligent Systems and Computing, Vol 556. Springer, Singapore. [DOI: 10.1007/978-981-10-3874-7_25]. Click here to view
Sethi. K.K,Dharavath Ramesh., Nyakotey S. (2018)
"PPS: Parallel Pincer Search for Mining Frequent Itemsets Based on Spark."
In: Abraham A., Cherukuri A., Madureira A., Muda A. (eds) Proceedings of the Eighth International Conference on Soft Computing and Pattern Recognition.
SoCPaR 2016. Advances in Intelligent Systems and Computing, Vol 614. Springer, Cham.
[doi.org/10.1007/978-3-319-60618-7_35].
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Sethi. K.K.,Dharavath Ramesh(2016) "Delay Scheduling with Reduced Workload on JobTracker in Hadoop." In: Snášel V., Abraham A., Krömer P., Pant M., Muda A. (eds) Innovations in Bio-Inspired Computing and Applications. Advances in Intelligent Systems and Computing, Vol 424. Springer, Cham. [DOI: 10.1007/978-3-319-28031-8_32]. Click here to view
Dharavath Ramesh., Singh, A. K. (2016) "Entity Resolution-Based Jaccard Similarity Coefficient for Heterogeneous Distributed Databases." In: Satapathy S., Raju K., Mandal J., Bhateja V. (eds) Proceedings of the Second International Conference on Computer and Communication Technologies. Advances in Intelligent Systems and Computing, Vol 379. Springer, New Delhi. [DOI: 10.1007/978-81-322-2517-1_48]. Click here to view
Dharavath Ramesh., Gupta H., Singh K., Kumar C.(2015) "Hash Based Incremental Optimistic Concurrency Control Algorithm in Distributed Databases." In: Buyya R., Thampi S. (eds) Intelligent Distributed Computing. Advances in Intelligent Systems and Computing, Vol 321. Springer, Cham. [DOI: 10.1007/978-81-322-2517-1_48]. Click here to view
Dharavath Ramesh., Kumar, V., Kumar, C., & Kumar, A. (2014)
"An Apriori-Based Vertical Fragmentation Technique for Heterogeneous Distributed Database Transactions."
In: Mohapatra D., Patnaik S. (eds) Intelligent Computing, Networking, and Informatics. Advances in Intelligent Systems and Computing, Vol 243. Springer, New Delhi.
[DOI: 10.1007/978-81-322-1665-069].
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Dharavath Ramesh., Jain A.K., Kumar C., Kumar V. (2014)
"Accuracy of Atomic Transaction Scenario for Heterogeneous Distributed Column-Oriented Databases."
In: Mohapatra D., Patnaik S. (eds) Intelligent Computing, Networking, and Informatics. Advances in Intelligent Systems and Computing, Vol 243. Springer, New Delhi.
[DOI: DOI: 10.1007/978-81-322-1665-047].
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[Books Published]
[Published & Accepted]
Dharavath Ramesh., Kumar, C., & Jain, A. K. (2013) "Atomicity and Snapshot Isolation on Column Oriented Databases: a Transaction Approach." published by LAP Lambert Academic Publishing, 2013, Germany. [ISBN: 978-3-659-37511-8]. Click here to view
Chiranjeev Kumar, Haider Banka & Dharavath Ramesh(2016)
"Recent Advances in Information Technology."
Proceedings of the 3rd IEEE International Conference RAIT-2016, March 03-05, 2016, Vol. I & II, IIT(ISM), Dhanbad, India.
[ISBN: 978-1-4799-8578-4].
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Peer Reviewed & Referred Conferences
[Published & Accepted]
Shashi Raj., & Dharavath Ramesh.(2022). Applying partition method to adopt Spark-based Eclat algorithm for large transactional datasets. In 4th International Conference on Communication and Computational Technologies (ICCCT-2022). Springer Conference Proceedings . [Accepted & In Press].
Rahul Mishra., Dharavath Ramesh., Nazeeruddin Mohd. (2022). RBDA: Redactable Blockchain based Secure Data Aggregation Scheme for IoT Enabled Cloud Paradigm. In 20th International Conference on Pervasive Computing and Communications (PerCom 2022). IEEE Conference Proceedings . [10.1109/PerComWorkshops53856.2022.9767416].
T Gupta., Dharavath Ramesh., Rahul Mishra. (2022). Gene Determination Algorithm: A Blockchain-based Case Study of Crypto Kitties. In 7th International Conference for Convergence in Technology (I2CT 2022). IEEE Conference Proceedings . [10.1109/I2CT54291.2022.9825042].
Madhukar Rao., & Dharavath Ramesh.(2022). A novel approach for visualizing medical big data using variational autoencoders. In 3rd Int. Conf. on Data Science, Machine Learning & Applications (ICDSMLA-2021). Springer Conference Proceedings . [Accepted & In Press].
Sonal Jain., & Dharavath Ramesh. (2021). AI based hybrid CNN-LSTM model for crop disease prediction: An ML advent for rice crop. In 12th Int. Conf. on Computing Communication and Networking Technologies(ICCCNT 2021). IEEE Conference Proceedings . [10.1109/ICCCNT51525.2021.9579587].
Rahul Mishra., & Dharavath Ramesh., & D. Reddy. Edla. (2020). Deletable Blockchain Based Secure EHR Storage Scheme in Multi-Cloud Environment. In 2020 22nd IEEE International Conference on High Performance Computing and Communications (HPCC 2020). IEEE. IEEE Conference Proceedings . [DOI:10.1109/HPCC-SmartCity-DSS50907.2020.00142].
Sonal Jain., & Dharavath Ramesh. (2020). Machine Learning convergence for weather based crop selection. In 2020 2nd IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS). IEEE Conference Proceedings . [DOI:10.1109/SCEECS48394.2020.75].
Dharavath Ramesh & Ekaansh Khosla (2019). Seasonal ARIMA to Forecast Fruits and Vegetable Agricultural Prices. 2019 5th IEEE International Symposium on Smart Electronic Systems (iSES). IEEE Conference Proceedings . [DOi:10.1109/iSES47678.2019.00023].
Dharavath Ramesh., Anand Kumar & Kumar Aashu (2019). Similarity-Aware EQUALS and IN Operator in Cassandra and Its Application in Agriculture. 2019 5th IEEE International Symposium on Smart Electronic Systems (iSES). IEEE Conference Proceedings . [DOi:10.1109/iSES47678.2019.00021].
K K Sethi., Dharavath Ramesh., Aman Rathore & santanu Sarin. (2019). HUIM-SMP: High utility itemset mining based stock market analogy*. 2019 10th International Conference on Computing, communications and Network Technologies (ICCCNT). IEEE Conference Proceedings . [DOI:10.1109/ICCCNT45670.2019.8944752].
Rashmi Priya., Ramesh D., & Ekaansh Khosla. (2018). Crop Prediction on the Region Belts of India: A Naïve Bayes MapReduce Precision Agricultural Model. In 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI) (pp. 99-104). IEEE Conference Proceedings . [DOI:10.1109/ICACCI.2018.8554948].
Rishabh Thukral., & Ramesh D. (2018). Ensemble Similarity based Collaborative Filtering Feedback: A Recommender System Scenario. In 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI) (pp. 2398-2402). IEEE Conference Proceedings . [DOI:10.1109/ICACCI.2018.8554653].
Ramesh D., & Kumar.A (2018, March). Query Driven implementation of Twitter base using Cassandra. In 2018 International Conference on Current Trends towards Converging Technologies (ICCTCT) (pp. 1-4). IEEE Conference Proceedings . [DOI:10.1109/ICCTCT.2018.8551136].
Ramesh D., & Sweta Dey (2018, March). SCLBA-CC: Slot Based Carton Load Balancing Approach for Cloud Environment. In 2018 International Conference on Current Trends towards Converging Technologies (ICCTCT) (pp. 1-5). IEEE Conference Proceedings . [DOI:10.1109/ICCTCT.2018.8550841].
Ramesh D., & Kajal. K. (2018, March). DEBC-GM: Denclue Based Gaussian Mixture Approach for Big Data Clustering. In 2018 International Conference on Current Trends towards Converging Technologies (ICCTCT) (pp. 1-8). IEEE Conference Proceedings . [DOI:10.1109/ICCTCT.2018.8550895].
Sethi, K. K., Ramesh D., & Edla, D. R. (2018). P-FHM+: Parallel high utility itemset mining algorithm for big data processing. Procedia Computer Science, 132, pp. 918-927, Elsevier . [DOI: 10.1016/j.procs.2018.05.107].
Diwakar Tripathi, D., Edla, D. R., Kuppili, V., Bablani, A., & Ramesh D(2018). Credit Scoring Model based on Weighted Voting and Cluster based Feature Selection. Procedia Computer Science, 132, pp. 22-31, Elsevier . [DOI: 10.1016/j.procs.2018.05.055].
Khosla, E., Ramesh D.,Sharma, R. P., & Nyakotey, S. (2018).
RNNs-RT: Flood based Prediction of Human and Animal deaths in Bihar using Recurrent Neural Networks and Regression Techniques.
Procedia Computer Science, 132, 486-497, Elsevier .
[DOI: 10.1016/j.procs.2018.05.001].
Khosla, E., & Ramesh D(2018). Phase classification of chronic myeloid leukemia using convolution neural networks. In 2018 4th International Conference on Recent Advances in Information Technology (RAIT) (pp. 1-6). IEEE Conference Proceedings . [DOI: 10.1109/RAIT.2018.8389068].
Chak, P., Behera, R. K., Naik, D., Rath, S. K., & Ramesh D(2018). Content matching problem in large scale network using weighted b-matching algorithm. In 2018 4th International Conference on Recent Advances in Information Technology (RAIT) (pp. 1-6). IEEE Conference Proceedings . [DOI: 10.1109/RAIT.2018.8389077].
Ramesh D., Khosla, E., & Bhukya, S. N. (2016, December). Inclusion of e-commerce workflow with NoSQL DBMS: MongoDB document store. In Computational Intelligence and Computing Research (ICCIC), 2016 IEEE International Conference on (pp. 1-5). IEEE Conference Proceedings . [DOI: 10.1109/ICCIC.2016.7919652].
Ramesh, D., Patidar, N., Kumar, G., & Vunnam, T. (2016, April). Evolution and analysis of distributed file systems in cloud storage: Analytical survey . In Computing, Communication and Automation (ICCCA), 2016 International Conference on (pp.753-758). IEEE Conference Proceedings . [DOI: 10.1109/CCAA.2016.7813828].
Ramesh, D., Mishra, R., & Nayak, B. S. (2016, March). Cha-Cha 20: Stream Cipher Based Encryption for Cloud Data Centre. In Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies (p. 40). ISBN: 978-1-4503-3962-9, ACM Conference Proceedings . [DOI:10.1145/2905055.2905098].
Ramesh, D.., Sinha, A., & Singh, S. (2016, March). Data modeling for discrete time series data using Cassandra and MongoDB. In 2016 3rd International Conference on Recent Advances in Information Technology (RAIT) (pp. 598-601). IEEE Conference Proceedings . [DOI: 10.1109/RAIT.2016.7507966].
Ramesh Dharavath., & Priya, R. (2016, January). Multi-authority scheme based CP- ABE with attribute revocation for cloud data storage. In 2016 International Conference on Microelectronics, Computing and Communications (MicroCom) (pp. 1-4). IEEE Conference Proceedings . [DOI: 10.1109/MicroCom.2016.7522518].
Ramesh Dharavath., Suraj, P., & Saini, L. (2016, January). Big data analytics in healthcare: A survey approach. In 2016 International Conference on Microelectronics, Computing and Communications (MicroCom) (pp. 1-6). IEEE Conference Proceedings . [DOI: 10.1109/MicroCom.2016.7522520].
Ramesh, D., & Kumar, C. (2013, December). A Scalable Matching Approach Based Density Function for Heterogeneous Database Integration. In Advanced Computing,Networking and Security (ADCONS), 2013 2nd International Conference on (pp. 117-123). IEEE Computer Society . [DOI:10.1109/ADCONS.2013.15].
Dharavath Ramesh and Chiranjeev Kumar. (2013) An Entity Resolution Approach for Integrating Heterogeneous Distributed Probabilistic Data. Published in the Proceedings of 2nd International Conference on Computing, Communication and Sensor Network(CCSN - 2013), held at Dharmatala, Kolkata, India, November 22-24,Vol.4 Issue-1, pp. 119-125. [ISBN 81-85824- 46-0]. International Association of Science, Technology and Management .
Ramesh, D., Jain, A., & Kumar, C. (2012, December). Implementation of atomicity and snapshot isolation for multi-row transactions on column oriented distributed databases using rdbms. In Communications, devices and intelligent systems,2012 International Conference (pp. 298-301). IEEE Conference Proceedings . [DOI: 10.1109/CODIS.2012.6422197].
Dharavath Ramesh & Chiranjeev Kumar (2012). An algorithmic model scenario for fragment allocation to handle transaction conflicts in Heterogeneous distributed databases. International Journal of Computer Applications (IJCA) Special Issue on International Conference on Computing, Communication and Sensor Networks (CCSN 2012), held at PIET, Rourkela - India, November 22-23, 2012, ISSN (0975-8887) CCSN2012 – Number 4, pp.34-39.
Dharavath Ramesh & Chiranjeev Kumar. (2012). An incremental protocol approach for secure collaboration between Byzantine processes in Heterogeneous distributed processing systems. Abstract published on 3rd World conference on Information Technology(WCIT - 2012). AWER Procedia Technology, University of Barcelona, Barcelona, Spain.
Ramesh, D., Kumar, K. C., & Ramji, B. (2012, October). Design of a transaction recovery instance based on bi-directional ring election algorithm for crashed coordinator in distributed database systems. In Information and Communication Technologies(WICT), 2012 World Congress on (pp. 721-726). IEEE Conference Proceedings . [DOI: 10.1109/WICT.2012.6409169].
Ramesh, D., & Kumar, C. (2012). An optimal novel Byzantine agreement protocol (ONBAP) for heterogeneous distributed database processing systems. Procedia Technology, Elsevier . Vol.6, pp.57-66. [DOI: 10.1016/j.protcy.2012.10.008].
Ramesh Dharavath, S. Sri Harsha & R. Suresh. (2011). Recovery of Heterogeneous Aggregation transaction failures between Byzantine Processes Using Shared Memory Object Invocation. Published in the Proceedings of 3rd International Confr. on IT and Business Intelligence (ITBI-2011), pp. 352-357 Hyderabad. [ISBN 978-93-81583-11-1].
Ramesh Dharavath and Prabhakar G. (2011). Does a Symmetric Protocol Suffice for Heterogeneous Commit. Published in the Proceedings of 3rd International Confr. on IT and Business Intelligence (ITBI-2011), Hyderabad, November 25-27, pp. 346-351. International Journal of Innovative Research in Science and Techniques . [ISBN 978-93-81583-11-1].
Ramesh Dharavath, R.Saritha & V.Swetha Reddy. (2011). An Integrated Query Processing Approach for Transaction Protocols in Heterogeneous Distributed Database Environment. Published in the Proceedings of 2nd Int. conference on Computer Science and Engineering (ICCSE–2011) Hyderabad Interscience Research Network (IRNet) , [ISBN 978-93-81693-01-8].
Ramesh Dharavath and V.Swetha R. (2011). P2P Secure Collaboration between Byzantine Processes in Heterogeneous Distributed – Processing Systems. Published in the Proceedings of 2nd National Conference on Computing, Communication and Sensor Network (CCSN-2011) PIET, Rourkela (INDIA), [ISBN 81-85824-46-0].
Dharavath Ramesh (2011). Measuring the Performance of heterogeneous Distributed Mining Platform with Cache coherence problem in Symmetric Memory. Published in the Proceedings of the 2nd National Conference on “ Data mining : Emerging Technologies held at Vignan’s Lara Institute of Institute of Science and Technology, Guntur, pp.7-13. [ISBN 81-85824-46-0].