Voruganti Naresh Kumar

Scopus Publications

Work Load Prediction Based VM Migration and Switching Strategy in Cloud Using Hybrid Optimized with Explainable Artificial Intelligence
Nasra Fatima, Voruganti Naresh Kumar
Lecture Notes in Networks and Systems, 2026
Preface
Lecture Notes in Networks and Systems, 2026
A Precise and Distinctive Model of Supervised Machine Learning Using Classification Algorithm to Identify Network Attacks
Maheedhar vara prasad Repalle, Voruganti Naresh Kumar, Y. Prathima, T. Krishna Veni
Lecture Notes in Networks and Systems, 2026
A Genetic Algorithm-Enhanced Deep Learning Framework for Intelligent Multi-feature Selection and Classification
S. Sangeetha, Voruganti Naresh Kumar, S. Alagumuthukrishnan, Kakarla Ramana Reddy, G. Vidhya
Lecture Notes in Electrical Engineering, 2026
Combined Q-Learning Methods for Machine Learning-Based Dynamic Resource Alignment In IIOT Networks
M. D. Tanweer Alam, Voruganti Naresh Kumar, D. Keerthy Vasan, Nandikonda Madhavi, J. L. Aldo Stalin
Adaptive Technologies for Sustainable Growth, 2026
The Internet of Things has become an increasingly important part of this picture, with IIoT networks connecting devices with IoT networks that communicate data and help with decision-making on the shop floor. Yet, the specific characteristics of IIoT environments make it really difficult to provision network resources adequately to match the workloads, latency-critical applications, and energy constraints. As systems and devices increasingly integrate with one another, the requirement of efficient reserve supply is transforming in IIoT scenarios. One of the key issues in allowing to optimise the reserve provisioning is the dynamism of IIoT systems, where the demand and availability of reserve fluctuates constantly. Given their capacity to operate on complex and dynamic systems, machine learning algorithms have attracted much interest in recent years. This paper present machine learning based dynamic reserve provisioning for IIoT. Dynamic multi-Agent Q-learning for dynamic resource allocation in Internet of Things. Our method is demonstrated through experimental results that render a reliable IIoT network.
Machine Learning-Based Performance-Based Digital Threat Identification for Anomalous-based DDoS Attacks
B. Kondalu, Voruganti Naresh Kumar, C. B. Joel Kishore, T. S. Suhasini, A. Naveen Kumar
Adaptive Technologies for Sustainable Growth, 2026
Network assaults are a serious security risk in the modern world because of how quickly technology as well as the internet are developing. DoS assaults are sophisticated and challenging to defend against. Because DDoS attacks have the potential to cause major disruptions, they are considerably more dangerous. They are especially difficult since they can swiftly and suddenly destroy a victim’s computer or communication capabilities. DDoS assaults are a dynamic threat that is becoming harder to identify and successfully counter. We have investigated a variety of strategies and tactics on the DDoS assault dataset—that is, the SDN-specific dataset—in order to combat this threat. By utilizing a variety of techniques, such as Decision Trees, Support Vector Machine, Naive Bayes, K-Nearest Neighbor, MultiLayer Perceptron, Quadratic Discrimination, Stochastic Gradient Descent (SGD), Logistic Regression, XGBoost, and deep learning techniques like Deep Neural Networks (DNN), machine learning has improved DDoS detection. Based on accuracy measures, a thorough comparison examination of these techniques has assessed their efficacy.
A Conventional Method for Deep Learning-Based Human Activity Recognition Analysis
B. Gayathri, Voruganti Naresh Kumar, B. Shanthi, M. D. Rafeeq, M. Mohamed Ibrahim
Smart Innovation Systems and Technologies, 2026
A Specific Processing of Device to Device Communication Through Multihop for Equalizing and Minimizing Sar
Vivekanand Aelgani, T. Bhaskar, S. Kirubakaran, Voruganti Naresh Kumar, Yedlla Satyam, Bejjanki Pooja
Lecture Notes in Networks and Systems, 2026
FarmGPT: Smart Agriculture with AI, ML Real-Time Intelligence
Yedlla Satyam, Voruganti Naresh Kumar, V H N Sreeharshini, Gantasala Arun Kumar, Ainapur Manish, Gavvale Ajay
Proceedings of 2nd International Conference on Multi Agent Systems for Collaborative Intelligence Icmsci 2026, 2026
FarmGPT is an agricultural portal that is created through the assistance of machine learning (ML) in order to allow farmers to optimize crop production and decision making throughout the farming lifecycle. The portal consists of several smart services such as localized weather forecasts, crop and fertilizer prescriptions, crop yield prediction, and a direct marketplace which links farmers and consumers eliminating the intermediaries and enhancing price transparency. FarmGPT is developed as a web-based, role-based application, which includes farmer, customer, and administrator modules and is secured via OTP-based authentication and driven by a PHP-MySQL application using Python-based ML-based inference services. The predictive core modules use tabular agricultural data and use algorithms like Decision Trees, Random Forests, Naive Bayes and K-Nearest Neighbors with the Decision Tree models showing the most promising results in various classification tasks of interest to crop and fertilizer recommendation. The portal provides individual crop and fertilizer recommendations depending on soil nutrients, pH, temperature, rainfall, and historical data of the area through these models, and the tools of yield and rainfall predictions assist in planning of sowing, irrigation, storage, and marketing operations. As indicated by experimental assessment on real sample data and end to end workflow testing on farmer and customer accounts, the system can provide correct recommendations based on agronomic expertise and facilitate smooth trading processes, such as listing of crops, management of stocks, and paying using simulated money transactions. The paper provides the general architecture, design of each user module, the system of the ML process, from data preprocessing to its implementation, implementation details, and main results, showing how an integrated AI-driven portal can be convenient decision support and commerce platform to make farmers more productive, profitable and digitally included.
Analysis of the Medicine Learning Integrated Executive Support System for Clinical Prediction Using AI and ML
T. Bhaskar, S. Kirubakaran, Aelgani Vivekanand, Voruganti Naresh Kumar, D. Maneiah, Vandhanapu Srinu
Lecture Notes in Electrical Engineering, 2026
Adaptive Federated Multi Agent Deep Reinforcement Learning for Clinical Imaging Applications
Voruganti Naresh Kumar, K. Ashish, G. Vardhan, A. Mohan, D. Sandhya Rani, A. Divya Bharathi
Proceedings of the 2026 International Conference on AI Driven Smart Systems and Ubiquitous Computing Icauc 2026, 2026
Heart Diseases Prediction Using Deep Convolutional Neural Network with Deformable Angular Alignment Module
International Journal of Intelligent Engineering and Systems, 2025
Wireless Network Virtualization for On-Demand Internet Provisioning
Dr.C. Nallusamy, A. Aqeel, Zayd Ajzan Salami, Dr.V. Naresh Kumar, Dr.V. Mangaiyarkarasi, Shirinjon Nurboev
Journal of Internet Services and Information Security, 2025
Malicious transaction detection in Internet of Things networks using the Moth Blade Optimization and K Nearest Neighbor algorithms
M. Kamala, G. Usharani, Voruganti Naresh Kumar, A. Srinish Reddy
Applications of Mathematics in Science and Technology International Conference on Mathematical Applications in Science and Technology, 2025
An Examination of the System’s Viability and Dependability for the General Data Analytics Technique Employed in the Big Data Manufacturing Environment
S. Jenifer, Voruganti Naresh Kumar, A. Punitha, E. Krishnaveni
Lecture Notes in Networks and Systems, 2025
AI-Based Classification of Growth in Early-Stage Cancer Detection and Prevention
Voruganti Naresh Kumar, N. Tejasree, D. Dhanalakshmi, Harsha Gangavane
Lecture Notes in Networks and Systems, 2025
A Demonstration of Machine Learning-Based Darknet Traffic Classification and Association System Using KNN
Voruganti Naresh Kumar, S. Sai Bhushanam, P. Rukmini Devi, Arun Pratap Singh
Lecture Notes in Networks and Systems, 2025
Resonance Imaging Analysis of Image Quality Assessment Using CNN
Rajesham Gajula, Voruganti Naresh Kumar, Madhavi Pingili, Borra Sivaiah
Lecture Notes in Networks and Systems, 2025
Preface
Lecture Notes in Networks and Systems, 2025
Preface
Lecture Notes in Networks and Systems, 2025
Self-supervised Histopathology Image Segmentation Using Transformer Networks with Attention Mechanism
Veeresh Dachepalli, Gavini Sreelatha, Jayavardhanarao Sahukaru, Voruganti Naresh Kumar, J. Avanija, Chengamma Chitteti
Lecture Notes in Networks and Systems, 2025
Enhancing Grayscale Image Clarity Through Blind Deconvolution and PSF Estimation With Total Variation Regularization
Jonnadula Narasimharao, Voruganti Naresh Kumar, Adepu Kirankumar, Bejjanki Pooja, D. Rambabu, Ganpat Joshi
Smart Innovation Systems and Technologies, 2025
Reducing the Distortion of the Image by Creating an Algorithm for Data Security by Incorporating Steganography
Mannem Saimanasa, Lal Bahadur Pandey, Voruganti Naresh Kumar, Sangamitra, Sampath Srikanth, Naushad Alam
Smart Innovation Systems and Technologies, 2025
Prediction of Heart Disease Using Raspberry PI
P. Rajesh, D. Sudha, G. Lavanya, E. N. V. Purna Chandra Rao, K. Srujan Raju, Voruganti Naresh Kumar
Lecture Notes in Networks and Systems, 2025
System for Automatic Toll Collection Using Image Processing and Raspberry PI
Machara Sai Vineetha, Bagam Laxmaiah, M. Nagaraju Naik, D. Sudha, K. Srujan Raju, Voruganti Naresh Kumar
Lecture Notes in Networks and Systems, 2025
A New Technique for Measuring the Performance on Convolutional Neuronal Networks (CNN) for Object and Image Categorization
Siva Skandha Sanagala, Borra Sivaiah, Anuradha Boya, Voruganti Naresh Kumar, V. Ravindernaik, Vankudothu Malsoru
Cognitive Science and Technology, 2025
Energy Efficient Routing Protocol Based on Fuzzy Optimized Self Schedule Routing for Lifetime Improvement in WSN
J. Sasi Kiran, Sanjib Kumar Nayak, Voruganti Naresh Kumar, K Srujan Raju, JPrasanna Babu, Swathi Rudra
Proceedings of 2025 10th International Conference on Science Technology Engineering and Mathematics Iconstem 2025, 2025
RSA Cryptography: A Secured and Safe Method for Effective Data Hide in Encrypted Video
Voruganti Naresh Kumar, K. Bharath Kumar, Shyam Sundar Yerra, S. Poongodi, D. Sudha, J. Seetaram
Lecture Notes in Networks and Systems, 2025
An Encrypted Method for Utilizing the Optimization of Ant Colonies to Protect Against DDoS Attacks
Voruganti Naresh Kumar, Sandhyarani, Dubbaka Navanitha, M. Ramasamy, E. Krishnaveni, Borra Sivaiah
Lecture Notes in Networks and Systems, 2025
Detection of Breathing and Infant Sleep Apnea
Pampari Nikitha, E. N. V. Purna Chandra Rao, Ch Rekha, D. Sudha, K. Srujan Raju, Voruganti Naresh Kumar
Lecture Notes in Networks and Systems, 2025
Analysis of Machine Learning Algorithms for Automated Cyber-Attack Identification and Categorization in IoT-Based Cyber-Physical Systems
Voruganti Naresh Kumar, Koripalli Nagamani, Sheo Kumar, C. Syamsundar, B. Gayathri, Kanneganti Anusha
Lecture Notes in Networks and Systems, 2025
Optimal Feature Subset Selection for Classification Using Bacterial Foraging Optimization: A Machine Learning Approach
Voruganti Naresh Kumar, D. V. Lalitha Parameswari, J. Avanija, K. Ayyappa Swamy, K. Reddy Madhavi, Mohammad Gouse Galety
Lecture Notes in Networks and Systems, 2025
An Effectıve Svm-Based Performance Model for the Optımızed Neural Network Intended for Classıfyıng Breast Cancer Dısease
Modugula Siva Jyothi, S. V. S. V. Prasad Sanaboina, Voruganti Naresh Kumar, P. Raveendra Babu, Abdul Subhani Shaik, L. Chandrasekhar Reddy
Lecture Notes in Electrical Engineering, 2025
Development and Construction of System-On-Chip Implementing Discrete Cosine Transform for Image Processing Applications
Sunil Kumar Singh, Mannem. Saimanasa, B. Premalatha, T. D. Bhatt, M. Kishore Kumar, Voruganti Naresh Kumar
Lecture Notes in Networks and Systems, 2025
A New and Effective Cryptography-Based Data-Hiding Technique for Image Compression
Rajesh Tiwari, Mrutyunjaya S. Yalawar, Voruganti Naresh Kumar, P. Kranthi Rathan, P. Sai Kumar, L. Chandra Sekhar Reddy
Smart Innovation Systems and Technologies, 2025
A Novel IoT-Based Block Chain Approach for Evaluating Confidential Data Sharing by Providing Data Privacy, Integrity, and Reliability
Voruganti Naresh Kumar, A. Veerender, G. Madhukar, K. L. S. Soujanya, V. A. Naryana, A. Vivekananda
Lecture Notes in Electrical Engineering, 2025
A Graph Neural Network Framework for Real Time Cyber Threat Intelligence and Risk Analysis
Voruganti Naresh Kumar, MNS Suvarna Kumar, R. Suhasini, Manikala Lakshman, Naveenkumar Anbalagan, Krithika. D.R
2025 IEEE International Conference on Advanced Computing Technologies Icact 2025, 2025
A Random Forest-Based Method for Effective and Robust Detection of Wormhole Attacks in Wireless Sensor Networks
Sukanya Konatam, Suryaprakash Nalluri, Murali Mohan Malyala, Harsh Daiya, Voruganti Naresh Kumar, K. Srujan Raju
Lecture Notes in Networks and Systems, 2025
Deep Learning Algorithms for the Recognition of Congestive Heart Failure Through the Analysis of Electrocardiogram (ECG) Data
Chikati Madhava Rao, Voruganti Naresh Kumar, B. K. Chinna Maddileti, Golla Saidulu, K. Srujan Raju, Maredu Mallikarjun
Lecture Notes in Networks and Systems, 2025
A Safe and Secured Data Sharing in Cloud Computing Through Identity-Based Irrevocable Storage Encryption
Voruganti Naresh Kumar, G. Divya, B. Revathi, E. Lakshmi Prasanna, B. Archana, V. A. Narayana
Lecture Notes in Networks and Systems, 2025
Assessment of Encrypted Data Sharing in the Cloud by Employing Blockchain Data Storage Techniques
Modugula Siva Jyothi, Voruganti NareshKumar, M. N. Sailaja, J. Ranjith, G. Usharani, C. Syamsundar
Lecture Notes in Networks and Systems, 2025
Analysis on a FINFET Related Self Supervising Voltage Level Method for Low Leaking Power SRAM Cell
B. Revathi, Radhe Shyam Panda, S. Krishnaveni, G. Shyam Kishore, Voruganti Naresh Kumar, Sudha Arvind
Lecture Notes in Networks and Systems, 2025
Efficient Pest Detection and Classification System for Vegetable Crops Using Regression Tree Algorithm
Md. Rafeeq, Chengamma Chitteti, Ramayanam Jhansi Rani, B. Mamatha, Voruganti Naresh Kumar, Srinivasarao Dharmireddi
Lecture Notes in Networks and Systems, 2025
An Assessment Performed on the Secure Transmission of Messages to a Target Device Through the Utilization of TCP and UDP Protocols
Voruganti Naresh Kumar, Vankudothu Malsoru, Golla Saidulu, L. Chandra Sekhar Reddy, X. S. Asha Shiny, Singanamala Priyanka
Lecture Notes in Networks and Systems, 2025
Automated Epileptic Seizure Detecting System Using Ant Colony Optimization for EEG Signal
A. Mounika Rajeswari, E. Gurumoorthi, Voruganti Naresh Kumar, G. Menaka, M. Kumara Swamy, E. Suresh Babu
Lecture Notes in Networks and Systems, 2025
A Secured and Safe Cloud Storage Computing System Using a Distinctive Lightweight Data Identification and Sharing Algorithm
Badam Prashanth, Voruganti Naresh Kumar, G. Pavan Kumar, B. Siviah, Abdul Subhani Shaik, Siva Skandha Sanagala
Lecture Notes in Electrical Engineering, 2025
Smart Vision and Intelligent Object Recognition System for the Visually Impaired
Merugu Suresh, Sandhyarani, Abdul Subhani Shaik, B. Premalatha, George Ghinea, Avala Raji Reddy, K. Srujan Raju, Voruganti Naresh Kumar
Lecture Notes in Networks and Systems, 2025
Automation and manufacturing of smart materials in additive manufacturing technologies using Internet of Things towards the adoption of industry 4.0
Voruganti Naresh Kumar, Muntather M. Hassan, Ruby Pant, V. Hima Bindu, G. Sivasankar
E3s Web of Conferences, 2024
Detailed Investigation of the Role of Artificial Intelligence and its Impact on Customer Relationship Management (CRM) to Enhance Customer Loyalty
Sarita Satpathy, S. Rajasulochana, Voruganti Naresh Kumar, V. Hima Bindhu, Basavaraj S. Mammani, Tripti Tiwari, Dalia Younis
Recent Advances in Management and Engineering, 2024
An Innovative Prediction Model for Heart Disease Detection by means of Artificial Intelligence and Machine Learning Methods Diseases for Botanical
B. Gayathri, Voruganti Naresh Kumar, Rajesh Tiwari, V. Indumathi
Proceedings of International Conference on Sustainable Computing and Integrated Communication in Changing Landscape of AI Icscai 2024, 2024
IoT Home Control an Android Application for Appliance Management
15th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2024, 2024
Digital Twins for Real-Time Supply Chain Visibility and Optimization
Haider Mohammed Abbas, Voruganti Naresh Kumar, Ashlin Deepa R N, Saloni Bansal, R. S.Senthil Kumar, K Krishnakumar
2nd IEEE International Conference on Iot Communication and Automation Technology Icicat 2024, 2024
Blockchain-Driven Compliance Assurance in Supply Chains: Leveraging Reinforcement Learning Techniques
K. Sarathy, Kanchan Yadav, Voruganti Naresh Kumar, Haider Mohammed Abbas, Nagaraju Krishna Chythanya, Niranjanamurthy M
2nd IEEE International Conference on Iot Communication and Automation Technology Icicat 2024, 2024
An Automated System Pre-Trained to Identify Cardiovascular Disorders from ECG Pictures
Nuthanakanti Bhaskar, Vivekanand Aelgani, Sheo Kumar, Bigul Sunitha Devi, Voruganti Naresh Kumar, G. Divya
Proceedings 2024 2nd International Conference on Advanced Computing and Communication Technologies Icacctech 2024, 2024
An Integration of Satellite A Based Network with Higher Level Type Network with the use of P-P Connection: A Deep Review
Voruganti Naresh Kumar, Kassem Al-Attabi, Gaurav Thakur, Sharath Ambrose, Yadaiah Nirsanametla, Murugajothi T
2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering Icacite 2024, 2024
Anomaly Detection in Provenance Data Using Autoencoder Network
Voruganti Naresh Kumar, Monisha Jothi R, Mohammed Al-Farouni, Dharmapuri Siri, Arti Badhoutiya, Neelam Sanjeev Kumar
2nd IEEE International Conference on Iot Communication and Automation Technology Icicat 2024, 2024
Measles Detection Using Deep Learning
Md Mohammad Shareef, Gurram Sunitha, S. V. S. V. Prasad Sanaboina, Marri Sireesha, K. Reddy Madhavi, Ganapathi Antharam, Voruganti Naresh Kumar
Lecture Notes in Networks and Systems, 2024
CRNN-Based Eye Behavior Analysis for Drowsiness Detection
J. Sasi Kiran, Gurram Sunitha, Marri Sireesha, U. Mahender, K. Reddy Madhavi, Swathi Rudra, Voruganti Naresh Kumar
Lecture Notes in Networks and Systems, 2024
A Novel Encryption Framework to Improve the Security of Medical Images
M. Senthilkumar, K. Suthendran, S. V. Suji Aparna, Mahesh Kotha, S. Kirubakaran, Srinivasarao Dharmireddi, Voruganti Naresh Kumar
Lecture Notes in Networks and Systems, 2024
Adaptive Trajectory Data Stream Clustering
Gurram Sunitha, J. Sasi Kiran, Kolluru Venkata Nagendra, Syeda Sumaiya Afreen, K. Reddy Madhavi, Nandini Kothapati, Voruganti Naresh Kumar, Dosapati Hemachandu
Lecture Notes in Networks and Systems, 2024
Kullback–Leibler Divergence-Based Feature Selection Method for Image Texture Classification
M. Subba Rao, Guntoju Kalpana Devi, Suraya Mubeen, Badam Prashanth, Tazzeen Fatima, K. Reddy Madhavi, Voruganti Naresh Kumar, Charan Yadav Chintalacheri
Lecture Notes in Networks and Systems, 2024
Network anomaly detection using a random forest classifier
Information and Knowledge Systems, 2023
APC System: A system for the Blind and Deaf Who Face Visual and Depth Perception Challenges
Suraya Mubeen, G.V. Ashritha, Sanjeev Bandru, Marri Sireesha, Nuthanakanti Bhaskar, Voruganti Naresh Kumar
International Conference on Recent Advances in Science and Engineering Technology Icraset 2023, 2023
Employing Satellite Imagery on Investigation of Convolutional Neural Network Image Processing and Poverty Prediction Using Keras Sequential Model
Voruganti Naresh Kumar, Mahesh V Sonth, Arfa Mahvish, Vijaya kumar Koppula, B Anuradha, L Chandrasekhar Reddy
5th IEEE International Conference on Cybernetics Cognition and Machine Learning Applications Icccmla 2023, 2023
A Survey: Classifying and Predicting Features Based on Facial Analysis
J. Tejaashwini Goud, Nuthanakanti Bhaskar, Voruganti Naresh Kumar, Suraya Mubeen, Jonnadula Narasimharao, Raheem Unnisa
Smart Innovation Systems and Technologies, 2023
A FRAMEWORK FOR TWEET CLASSIFICATION AND ANALYSIS ON SOCIAL MEDIA PLATFORM USING FEDERATED LEARNING
Voruganti Naresh Kumar, U. Sivaji, Gunipati Kanishka, B. Rupa Devi, A. Suresh, et al.
Malaysian Journal of Computer Science, 2023
Anomaly-Based Hierarchical Intrusion Detection for Black Hole Attack Detection and Prevention in WSN
Voruganti Naresh Kumar, Vootla Srisuma, Suraya Mubeen, Arfa Mahwish, Najeema Afrin, D. B. V. Jagannadham, Jonnadula Narasimharao
Lecture Notes in Networks and Systems, 2023
An Improved Blind Deconvolution for Restoration of Blurred Images Using Ringing Removal Processing
U. M. Fernandes Dimlo, Jonnadula Narasimharao, Bagam Laxmaiah, E. Srinath, D. Sandhya Rani, Sandhyarani, Voruganti Naresh Kumar
Lecture Notes in Networks and Systems, 2023
Interpretation of Brain Tumour Using Deep Learning Model
J. Avanija, Banothu Ramji, A. Prabhu, K. Maheswari, R. Hitesh Sai Vittal, D. B. V. Jagannadham, Voruganti Naresh Kumar
Lecture Notes in Networks and Systems, 2023
Data-Driven Identification of High-Risk Patients for CKD-Machine Learning Perspective
Tabeen Fatima, N. Purushotham, Bushra Tarannum, Raheem Unnisa, Reddy Madhavi K, R Sai Krishna, Voruganti Naresh Kumar
5th IEEE International Conference on Cybernetics Cognition and Machine Learning Applications Icccmla 2023, 2023
A Secure and Optimal Path Hybrid Ant-Based Routing Protocol with Hope Count Minimization for Wireless Sensor Networks
Voruganti Naresh Kumar, Ganpat Joshi
Lecture Notes in Electrical Engineering, 2022
A Nanoplasmonic Ultra-wideband Antenna for Wireless Communications
Kavitha Rani Balmuri, Srinivas Konda, Kola Thirupathaiah, Voruganti Naresh Kumar, Jonnadula Narasimharao
Lecture Notes in Electrical Engineering, 2022
Ad hoc based protection topology for wireless sensor network topology
Journal of Advanced Research in Dynamical and Control Systems, 2019

RECENT SCHOLAR PUBLICATIONS

Work Load Prediction Based VM Migration and Switching Strategy in Cloud Using Hybrid Optimized with Explainable Artificial
N Fatima¹, VN Kumar
Intelligent Computing and Communication: Proceedings of 8th ICICC-2025 … , 2026
2026
Machine Learning-Based Performance-Based Digital Threat Identification for Anomalous-based
VN Kumar
Adaptive Technologies for Sustainable Growth , 2026
2026
A Genetic Algorithm-Enhanced Deep Learning
S Sangeetha¹, VN Kumar, S Alagumuthukrishnan
Signal Processing, Telecommunication & Embedded Systems: AI and ML … , 2026
2026
Customer Acquisition Through Intermediaries (vs. Brand) Shapes Lifetime Value: Evidence From the Hotel Industry
A Leszkiewicz, S Sunder, V Kumar, CS Dev
Production and operations management, 10591478261437885 , 2026
2026
FarmGPT: Smart Agriculture with AI, ML Real-Time Intelligence
Y Satyam, VN Kumar, VHN Sreeharshini, GA Kumar, A Manish, G Ajay
2026 Second International Conference on Multi-Agent Systems for … , 2026
2026
Adaptive Federated Multi Agent Deep Reinforcement Learning for Clinical Imaging Applications
VN Kumar, K Ashish, G Vardhan, A Mohan, DS Rani, AD Bharathi
2026 International Conference on AI-Driven Smart Systems and Ubiquitous … , 2026
2026
Machine Learning-Based Performance-Based Digital Threat Identification for Anomalous-based DDoS Attacks
B Kondalu, VN Kumar, CBJ Kishore, TS Suhasini, AN Kumar
Adaptive Technologies for Sustainable Growth, 150-156 , 2026
2026
Combined Q-Learning Methods for Machine Learning-Based Dynamic Resource Alignment In IIOT Networks
MDT Alam, VN Kumar, DK Vasan, N Madhavi, JLA Stalin
Adaptive Technologies for Sustainable Growth, 82-88 , 2026
2026
Heart Diseases Prediction Using Deep Convolutional Neural Network with Deformable Angular Alignment Module
SPS Voruganti Naresh Kumar Sateesh Kumar Ramatenki, Sireesha Marri ...
International Journal of Intelligent Engineering and Systems 18 (11), 551-565 , 2025
2025
Energy Efficient Routing Protocol Based on Fuzzy Optimized Self Schedule Routing for Lifetime Improvement in WSN
JS Kiran, SK Nayak, VN Kumar, KS Raju, JP Babu, S Rudra
2025 Tenth International Conference on Science Technology Engineering and … , 2025
2025
Autonomous landing scene recognition based on transfer learning for drones
A Bulbule, N Bhaskar, VN Kumar, JN Rao, K Maheshwari, ...
2025 International Conference on Innovations and Emerging Technologies In AI … , 2025
2025
A Genetic Algorithm-Enhanced Deep Learning Framework for Intelligent Multi-feature Selection and Classification
S Sangeetha, VN Kumar, S Alagumuthukrishnan, KR Reddy, G Vidhya
International Conference on Microelectronics, Electromagnetics and … , 2025
2025
Work Load Prediction Based VM Migration and Switching Strategy in Cloud Using Hybrid Optimized with Explainable Artificial Intelligence
N Fatima, VN Kumar
International Conference on Intelligent Computing and Communication, 176-189 , 2025
2025
A Graph Neural Network Framework for Real Time Cyber Threat Intelligence and Risk Analysis
VN Kumar, MNSS Kumar, R Suhasini, M Lakshman, N Anbalagan, K DR
2025 IEEE International Conference on Advanced Computing Technologies (ICACT … , 2025
2025
An Examination of the System's Viability and Dependability for the General Data Analytics Technique Employed in the Big
S Jenifer, VN Kumar, A Punitha, E Krishnaveni
Innovations in Data Engineering: Sustainability for Societal and Industrial … , 2025
2025
Self-supervised Histopathology Image Segmentation Using Transformer
V Dachepalli, G Sreelatha, J Sahukaru, VN Kumar, J Avanija, C Chitteti
Proceedings of Sixth International Conference on Computer and Communication … , 2025
2025
Citations: 4
Approach for Evaluating Confidential Data Sharing by Providing Data Privacy, Integrity, and Reliability
VN Kumar, A Veerender, G Madhukar, KLS Soujanya, VA Naryana, ...
Computational Intelligence in Machine Learning: Proceedings of the 3rd … , 2025
2025
Recognition System Built on Swarm Optimization
R Tiwari, B Prasanthi, VN Kumar, R Chegoni, A Kumar, K Sujitha
Evolution in Computational Intelligence: Proceedings of the 12th … , 2025
2025
A Conventional Method for Deep Learning-Based Human Activity Recognition Analysis
B Gayathri, VN Kumar, B Shanthi, MD Rafeeq, M Mohamed Ibrahim
International Conference on Frontiers of Intelligent Computing: Theory and … , 2025
2025
Development and Construction of System-on-Chip Implementing Discrete
SK Singh¹, M Saimanasa, B Premalatha, TD Bhatt, MK Kumar¹, VN Kumar
Bio-Inspired Computing: Proceedings of the 14th International Conference on … , 2025
2025

Voruganti Naresh Kumar

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Scopus Publications

RECENT SCHOLAR PUBLICATIONS

MOST CITED SCHOLAR PUBLICATIONS