E. Naresh

420 citations

45 papers · 178 indexed · h-index 8

Management Science and Operations Research
Artificial Intelligence
- Internet Traffic Analysis and Secure E-voting 3
- Anomaly Detection Techniques and Applications 3
Computer Networks and Communications
- Network Security and Intrusion Detection 4
- IoT and Edge/Fog Computing 3
Computer Vision and Pattern Recognition
Software
- Software Testing and Debugging Techniques 3
Information Systems
- Software Engineering Research 3
Plant Science
- Smart Agriculture and AI 3
Electrical and Electronic Engineering
- Indoor and Outdoor Localization Technologies 3

Co-authors: N. N. Srinidhi Piyush Kumar Pareek B P Pradeep Kumar S. Kavitha K. Aditya Shastry J Shreyas M. Niranjanamurthy Saurav Mallik
Cited by: Management Science and Operations Research Artificial Intelligence Computer Networks and Communications
Journals: Scientific Reports (4 papers)SN Computer Science (10 papers)Indian Journal of Gender Studies (1 paper)
Partner nations: India United States

In The Last Decade

E. Naresh

33 papers receiving 156 citations

Peers

Countries citing papers authored by E. Naresh

Since Specialization

Citations

This map shows the geographic impact of E. Naresh's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by E. Naresh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Naresh more than expected).

Fields of papers citing papers by E. Naresh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. Naresh. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by E. Naresh. The network helps show where E. Naresh may publish in the future.

Co-authorship network

The 22 scholars most cited alongside E. Naresh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with E. Naresh Line = papers co-authored together E. Naresh links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	3TFL-XLnet-CP: A Novel Transformer-Based Crop Yield Prediction Framework with Weighted Loss Based 3-Tier Feature Learning Model SN Computer Science ·L. S. Shevnitsyn,C. Nandini,E. Naresh	2025	0
2	Comprehensive brain tumour concealment utilizing peak valley filtering and deeplab segmentation Scientific Reports ·B P Pradeep Kumar,E. Naresh,E L Y Lynn,康立群	2025	0
3	COA Based Adaptive Neuro-Fuzzy Inference System: Machine Learning Approach for Crop Yield Prediction to Promise Agricultural Sustainability SN Computer Science ·Viviane Teles de Lucca Maranhão,N. N. Srinidhi,E. Naresh,Guru Prasad M S,강순기	2025	0
4	The Burn Grafting Image Reclamation Redefined with the Peak-Valley Approach Critical Reviews in Biomedical Engineering ·B P Pradeep Kumar,E. Naresh,K. Minami,J.-P. Coutanceau C. Bonillo,N. N. Srinidhi	2025	1
5	Adaptive deep SVM for detecting early heart disease among cardiac patients Scientific Reports ·Camila Sá de Melo Campos,N. N. Srinidhi,E. Naresh	2025	1
6	Geospatial data for peer-to-peer communication among autonomous vehicles using optimized machine learning algorithm Scientific Reports ·李秀炅,Xue Yansheng,E. Naresh,Solangela Natividad López Huayhualla,Tarini D. Paul,Arunadevi Thirumalraj,N. N. Srinidhi,Cathy Gendron	2024	9
7	Design of Cost Efficient VBIR Technique Using ICA and IVCA SN Computer Science ·B P Pradeep Kumar,N. N. Srinidhi,Kaiyu Pang,E. Naresh	2024	13
8	Continuous Integration, Testing Deployment and Delivery in Devops E. Naresh,Mudasir Iqbal,강순기,D SMEATHAM,G.G. Howard	2024	1
9	Design of Chest Visual Based Image Reclamation Method Using Dual Tree Complex Wavelet Transform and Edge Preservation Smoothing Algorithm SN Computer Science ·B P Pradeep Kumar,Kaiyu Pang,E. Naresh,N. N. Srinidhi,J Shreyas	2024	14
10	Meta Heuristic Technique with Reinforcement Learning for Node Deployment in Wireless Sensor Networks SN Computer Science ·Ю.Л. Набока,Celiang Wu,E. Gilland,E. Naresh,Iman Yanuar	2024	2
11	Adaptive residual convolutional neural network for moiré image restoration International Journal of Information Technology ·Rafael Queiroz dos Santos,E. Naresh,Kitamura Soichiro,Gallagher David	2024	8
12	Transmission Control Protocol speculation design using Machine Learning strategy Eleco Dowding,浦川豪,Q-Heung Choiy,E. Naresh,広川慎一郎,В. В. Скиба	2024	1
13	A novel deep unsupervised approach for super-resolution of remote sensing hyperspectral image using gompertz-function convergence war accelerometric-optimization generative adversarial network (GF-CWAO-GAN) Scientific Reports ·S. Aruna Deepthi,Kyle Clark,E. Naresh	2024	0
14	Medicinal Plant Identification in Real-Time Using Deep Learning Model SN Computer Science ·S. Kavitha,W F Van Order,E. Naresh,Imran B. Abidin,Timothy Kaftan,Piyush Kumar Pareek	2023	24
15	A Novel Framework for Detection of Harmful Snakes Using YOLO Algorithm SN Computer Science ·E. Naresh,Wastlund Erik,Kaiyu Pang,Mudasir Iqbal,N. N. Srinidhi	2023	4
16	Parametrized Optimization Based on an Investigation of Musical Similarities Using SPARK and Hadoop SN Computer Science ·B. Brangier,V Karthik,Amy Gauthier,Brenda Gael McSweeney,E. Naresh	2023	0
17	Reliable Target Tracking Model Employing Wireless Sensor Networks SN Computer Science ·隆司大鍛冶,Shreya Mahesh Jaokar,Manjula G. Nair,Yanitsa Dimitrova,E. Naresh	2023	1
18	A network intrusion detection framework on sparse deep denoising auto-encoder for dimensionality reduction Soft Computing ·P. Rychlewski,K. Aditya Shastry,E. Naresh,Piyush Kumar Pareek,J.-P. Coutanceau C. Bonillo	2023	18
19	A Novel Approach for Specification Testing on Heart Disease Detection Using Feed-Forward Neural Network SN Computer Science ·E. Naresh,Kaiyu Pang,N. N. Srinidhi,Massimo D'Elia,P. Dayananda	2023	0
20	Why I said #MeToo: An Exploration of the Purpose of Disclosure Among Indian Women Indian Journal of Gender Studies ·E. Naresh,Jette Echterhoff,Hélène Gares	2021	5

About E. Naresh

E. Naresh is a scholar working on Software, Computer Networks and Communications, Occupational Therapy, Health Information Management and Virology, having authored 45 papers that have together received 178 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (4 papers), Software Engineering Research (3 papers), Internet Traffic Analysis and Secure E-voting (3 papers), IoT and Edge/Fog Computing (3 papers), Smart Agriculture and AI (3 papers), Anomaly Detection Techniques and Applications (3 papers), Software Testing and Debugging Techniques (3 papers) and Indoor and Outdoor Localization Technologies (3 papers). The work is most often cited by research in Management Science and Operations Research (24 citations), Artificial Intelligence (47 citations), Computer Networks and Communications (33 citations), Computer Vision and Pattern Recognition (27 citations) and Software (5 citations). E. Naresh has collaborated with scholars based in India and United States. Frequent co-authors include N. N. Srinidhi, Piyush Kumar Pareek, B P Pradeep Kumar, S. Kavitha, K. Aditya Shastry, J Shreyas, M. Niranjanamurthy, Saurav Mallik, Aishwarya Kulkarni and V. Asha. Their work appears in journals such as Scientific Reports, SN Computer Science, Indian Journal of Gender Studies, Indian Journal of Science and Technology and Soft Computing.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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