Industry 4.0 Design Principles, Technologies, and Applications Lokaiah Pullagura, Biswajit Brahma, N. Vinaya Kumari, L. Ravikumar, Siva Kumar Gowda Katta, et al. Computational Intelligence in Industry 4 0 and 5 0 Applications Trends Challenges and Applications, 2025
Smart Home Forensics Lokaiah Pullagura, Nalli Vinaya Kumari, Hemanta Kumar Bhuyan Cyber Forensics and Investigation on Smart Devices Volume 1, 2024 The Internet of Things (IoT) has unquestionably exploded into the forefront of everyone's lives, whether they realise it or not. Internet of Things (IoT) technology is now used in medical devices, transportation, and even in our homes. Devices such as these have the ability to access a great deal of personal information. Because of their diminutive size, these devices have made insufficient efforts to build security into their design. Sensors, cameras, and lights are all examples of Internet of Things (IoT) devices that can be used to automate daily tasks around the home. Smartphones and speakers can be used as remote controllers to operate these gadgets. A smart home's IoT devices collect and process data on motion, temperature, lighting control, and other variables, and they store a wider range of data from more diverse users. A wide variety of smart home devices can make extracting meaningful data difficult because of their differing data storage methods. Data from a variety of smart home devices, as well as data that can be used in digital forensics, must be collected and analysed. Google Nest Hub and Samsung Smart Things are the primary sources of forensic smart home data that will be analysed in this study. As a result, we analysed the smart home data collected using companion apps, web interfaces, and APIs to find information that was relevant to our investigation. Various types of data collected by smart homes are also discussed in the paper, and they can be used as crucial evidence in certain forensic cases. IoT devices in a smart home can be hacked, and we'll investigate how, what data can be recovered, and where it resides after it has been hacked as part of our investigation.
LPWAN communication-based ML for IoT networks Lokaiah Pullagura, Nalli. Vinaya Kumari, Siva Kumar Gowda Katta Low Power Wide Area Network for Large Scale Internet of Things Architectures Communication Protocols and Recent Trends, 2024
An Optimal Scheduling of Energy Storage Units in Renewable Energy Systems Using Strength-Pareto Evolutionary Algorithm Nalli Vinaya Kumari, Komuravelly Sudheer Kumar, Zaid Alsalami, Harshitha P, Ghazi Mohamad Ramadan International Conference on Intelligent Algorithms for Computational Intelligence Systems Iacis 2024, 2024 Dual-stage optimization scheduling model by hybrid energy storage for grid-connected renewable energy systems, is proposed in this paper which focuses on both intra-day and day-ahead phases. In day-ahead phase, model improves economic efficiency by considering of price values at its peak value difference. In intra-day phase, its motive is to decrease renewable energy usage and it’s related with the day-ahead schedules using accurate, short-term predictions. Strength-pareto evolutionary algorithm 2 (SPEA2) algorithm for optimization is for multiple objective optimizations, achieving optimal and balanced solutions across multiple objectives. This SPEA2 optimization algorithm efficient handles and it enables system to cost-effectively and firmly operate and optimizing scheduling of grid-connected systems by addressing both the aspects of economic and operational. Overall, the model improves economic efficiency, reduces 6.3% the usage of renewable energy, and improves the sustainability power grid through effective integration and utilization of renewable energy sources.
A Study of Suspicious E-Mail Detection Techniques Lokaiah Pullagura, Dontha Madhusudhana Rao, Nalli Vinaya Kumari, Ravi Kumar Lanke, Siva Kumar Gowda Katta, et al. 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things Idciot 2024, 2024 Electronic mail is a preferred way of written communication, especially in an official or corporate setting, and the influx of emails is ever-growing. While most emails are meant to communicate something useful or important, it is even more common to receive spam or phishing emails regularly. While some of the most used email service providers have filters in their inboxes to filter out unnecessary emails, it is easy for people with malicious intent to bypass the same, thus increasing the need for a more accurate and reliable system for filters. The study aims to survey and review existing work in the space of email classification and recognize the best practices and tools which can be used for analyzing and classifying emails.
Optimizing Railway Traffic Management Using Fuzzy Logic-Based Decision-Making Systems Nalli Vinaya Kumari, G S Pradeep Ghantasala, Rajesh Sharma R, Ananthanagu U, Pellakuri Vidyullatha, et al. 2024 2nd International Conference Computational and Characterization Techniques in Engineering and Sciences Ic3tes 2024, 2024 Railway web page traffic manipulate is a complex and dynamic method that includes making real-time picks based mostly on various uncertain and difficult to understand factors, collectively with fluctuating passenger demand, diverse train schedules, and unpredictable weather conditions. Traditional decision-making strategies often battle to cope with the ones uncertainties, foremost to inefficiencies and potential safety risks. This paper proposes the software program of fuzzy properly judgment-based completely decision-making systems to optimize railway web page traffic manipulate. Fuzzy properly judgment, with its potential to model uncertainty and control difficult to understand data, offers a robust framework for boosting decision-making approaches in railway operations. By simulating various conditions and integrating real-time data, the proposed gadget can dynamically regulate train schedules, manipulate delays, and enhance everyday operational efficiency. The paper may present case studies demonstrating the effectiveness of fuzzy properly judgment in dealing with railway web page traffic, reducing delays, and improving passenger satisfaction. The findings advice that incorporating fuzzy properly judgment into railway web page traffic manipulates systems can purpose greater adaptive and resilient railway operations, ultimately contributing to greater steady and additional reliable rail networks.
Railway Passenger Flow and Sales Prediction Using Advanced Machine Learning Techniques Nalli Vinaya Kumari, G S Pradeep Ghantasala, Rajesh Sharma R, Pellakuri Vidyullatha, Ananthanagu U, et al. 2024 IEEE Flagship International BIT Conference Next Generation Applications in Green Energy Technology Bitcon 2024, 2024 Effective passenger waft control is pivotal for the highest quality operation of railway structure, impacting each operational performance and passenger satisfaction. This study delves into the software of system gaining knowledge of strategies to investigate and forecast passenger waft and price tag income inside railway networks. Utilizing historic tour statistics, sensor statistics, and outside influences, we increase predictive fashions that offer treasured insights into passenger conduct and decorate operational decision-making. Our findings spotlight the extensive enhancements in prediction accuracy and operational performance that system gaining knowledge of can deliver, providing sizeable blessings for railway control.
Biomedical data analysis and processing using explainable artificial intelligence and responsive artificial intelligence Mobile Health Advances in Research and Applications Volume II, 2022
HybridViT-CAB: a vision transformer and convolutional attention network for precision weed detection in agricultural systems GR Yenna, NV Kumari, AS Chouhan, S Umar, SR Macha Scientific Reports , 2026 2026
New Era: A Large Language Model DRP VENUTHURUMILLI, DRAS RANI, DRNV KUMARI Geh press , 2025 2025
Augmented Reality and Artificial General Internet of Things Integration NV Kumari, GSP Ghantasala, U Ananthanagu, P Vidyullatha, M Khan Artificial General-Internet of Things (AG-IoT) for Robotics: Advanced … , 2025 2025
Machine Learning and Artificial Intelligence Fundamentals for Federated Systems NV Kumari, GSP Ghantasala, P Vidyullatha, R Rajesh Sharma Federated Intelligent System for Healthcare: A Practical Guide, 153-169 , 2025 2025
Autonomous Maintenance in Railways using AI Techniques for Predictive Preservation NV Kumari, GSP Ghantasala, P Vidyullatha, RR Sharma, A Sungheetha, ... International Conference on Advances and Applications in Artificial … , 2025 2025 Citations: 1
Ai-powered early detection of cardiovascular diseases using deep learning algorithms GSP Ghantasala, NV Kumari, P Vidyullatha, RR Sharma, A Sungheetha, ... International Conference on Advances and Applications in Artificial … , 2025 2025 Citations: 1
Transforming Cancer Diagnostics and Personalized Treatment with Deep Learning Models GSP Ghantasala, NV Kumari, RR Sharma, P Vidyullatha, A Sungheetha, ... International Conference on Advances and Applications in Artificial … , 2025 2025
The Impact of Generative AI in Gaming: Exploring Immersive Experiences NV Kumari, GSP Ghantasala, U Ananthanagu, P Vidyullatha, M Khan Generative AI: Disruptive Technologies for Innovative Applications, 107-130 , 2025 2025 Citations: 1
Industry 4.0 design principles, technologies, and applications L Pullagura, B Brahma, NV Kumari, L Ravikumar, SKG Katta, R Chiwariro Computational Intelligence in Industry 4.0 and 5.0 Applications, 357-388 , 2025 2025 Citations: 6
11 Industry 4.0 Design L Pullagura, B Brahma, NV Kumari, L Ravikumar, SKG Katta, R Chiwariro Computational Intelligence in Industry 4.0 and 5.0 Applications: Trends … , 2025 2025
Optimizing Athletic Performance through Nutrition and Machine Learning: A Comprehensive Review KV Narayana, NV Kumari, GSP Ghantasala, R Sharma, P Vidyullatha 2024 International BIT Conference (BITCON), 1-5 , 2024 2024
Railway Passenger Flow and Sales Prediction Using Advanced Machine Learning Techniques NV Kumari, GSP Ghantasala, R Sharma, P Vidyullatha, S Bathool 2024 International BIT Conference (BITCON), 1-4 , 2024 2024
Addressing Challenges and Opportunities in Precision Medicine Using Deep Learning and Personalized Cancer Treatment GSP Ghantasala, NV Kumari, RR Sharma, P Vidyullatha, A Sungheetha, ... 2024 3rd Edition of IEEE Delhi Section Flagship Conference (DELCON), 1-5 , 2024 2024
Enhancing Team Sports Strategy and Performance Using Machine Learning: A Case Study on Soccer KV Narayana, NV Kumari, GSP Ghantasala, R Sharma, U Ananthanagu, ... 2024 3rd Edition of IEEE Delhi Section Flagship Conference (DELCON), 1-4 , 2024 2024 Citations: 1
Optimizing railway traffic management using fuzzy logic-based decision-making systems NV Kumari, GSP Ghantasala, R Sharma, P Vidyullatha, DK Pandiya 2024 Second International Conference Computational and Characterization … , 2024 2024 Citations: 3
An Optimal Scheduling of Energy Storage Units in Renewable Energy Systems Using Strength-Pareto Evolutionary Algorithm NV Kumari, KS Kumar, Z Alsalami, H P, GM Ramadan 2024 International Conference on Intelligent Algorithms for Computational … , 2024 2024 Citations: 2
Smart home forensics L Pullagura, NV Kumari, HK Bhuyan Cyber Forensics and Investigation on Smart Devices, 1-19 , 2024 2024 Citations: 1
LPWAN communication-based ML for IoT networks L Pullagura, NV Kumari, SKG Katta Low-Power Wide Area Network for Large Scale Internet of Things, 15-27 , 2024 2024
A Study of Suspicious E-Mail Detection Techniques L Pullagura, DM Rao, NV Kumari, RK Lanke, SKG Katta, R Chiwariro 2024 2nd International Conference on Intelligent Data Communication … , 2024 2024 Citations: 6
Computational Intelligence for Industry 4.0 and 5.0 Applications JB Awotunde, K Muduli, B Brahma Boca Raton (FL): CRC Press , 2024 2024 Citations: 5
MOST CITED SCHOLAR PUBLICATIONS
Cancer prediction and diagnosis hinged on HCML in IOMT environment GSP Ghantasala, NV Kumari, R Patan Machine Learning and the Internet of Medical Things in Healthcare, 179-207 , 2021 2021 Citations: 27
[Retracted] Internet of Things‐Based Patient Cradle System with an Android App for Baby Monitoring with Machine Learning VS Kumar, L Pullagura, NV Kumari, S Pooja Nayak, BP Devi, A Alharbi, ... Wireless Communications and Mobile Computing 2022 (1), 1140789 , 2022 2022 Citations: 20
Texture recognization and image smoothing for microcalcification and mass detection in abnormal region GSP Ghantasala, S Kallam, NV Kumari, R Patan 2020 international conference on computer science, engineering and … , 2020 2020 Citations: 20
Breast cancer treatment using automated robot support technology for mri breast biopsy GSP Ghantasala, NV Kumari International Journal of Education, Social Sciences and Linguistics 1 (2 … , 2021 2021 Citations: 14
Identification of normal and abnormal mammographic images using deep neural network GSP Ghantasala, NV Kumari Asian Journal For Convergence In Technology (AJCT) ISSN-2350-1146 7 (1), 71-74 , 2021 2021 Citations: 14
Support vector machine based supervised machine learning algorithm for finding ROC and LDA region NV Kumari, GP Ghantasala Journal of Operating Systems Development & Trends 7 (1), 26-33 , 2020 2020 Citations: 14
Industry 4.0 design principles, technologies, and applications L Pullagura, B Brahma, NV Kumari, L Ravikumar, SKG Katta, R Chiwariro Computational Intelligence in Industry 4.0 and 5.0 Applications, 357-388 , 2025 2025 Citations: 6
A Study of Suspicious E-Mail Detection Techniques L Pullagura, DM Rao, NV Kumari, RK Lanke, SKG Katta, R Chiwariro 2024 2nd International Conference on Intelligent Data Communication … , 2024 2024 Citations: 6
Compulsion for Cyber Intelligence for Rail Analytics in IoRNT NV Kumari, GSP Ghantasala, M Arvindhan Securing IoT and Big Data, 59-83 , 2020 2020 Citations: 6
Computational Intelligence for Industry 4.0 and 5.0 Applications JB Awotunde, K Muduli, B Brahma Boca Raton (FL): CRC Press , 2024 2024 Citations: 5
Optimizing railway traffic management using fuzzy logic-based decision-making systems NV Kumari, GSP Ghantasala, R Sharma, P Vidyullatha, DK Pandiya 2024 Second International Conference Computational and Characterization … , 2024 2024 Citations: 3
Smart Computation Based Smart Card Information Using Rail Management System NV Kumari Journal of Engineering Sciences 10 (12) , 2019 2019 Citations: 3
An Optimal Scheduling of Energy Storage Units in Renewable Energy Systems Using Strength-Pareto Evolutionary Algorithm NV Kumari, KS Kumar, Z Alsalami, H P, GM Ramadan 2024 International Conference on Intelligent Algorithms for Computational … , 2024 2024 Citations: 2
Autonomous Maintenance in Railways using AI Techniques for Predictive Preservation NV Kumari, GSP Ghantasala, P Vidyullatha, RR Sharma, A Sungheetha, ... International Conference on Advances and Applications in Artificial … , 2025 2025 Citations: 1
Ai-powered early detection of cardiovascular diseases using deep learning algorithms GSP Ghantasala, NV Kumari, P Vidyullatha, RR Sharma, A Sungheetha, ... International Conference on Advances and Applications in Artificial … , 2025 2025 Citations: 1
The Impact of Generative AI in Gaming: Exploring Immersive Experiences NV Kumari, GSP Ghantasala, U Ananthanagu, P Vidyullatha, M Khan Generative AI: Disruptive Technologies for Innovative Applications, 107-130 , 2025 2025 Citations: 1
Enhancing Team Sports Strategy and Performance Using Machine Learning: A Case Study on Soccer KV Narayana, NV Kumari, GSP Ghantasala, R Sharma, U Ananthanagu, ... 2024 3rd Edition of IEEE Delhi Section Flagship Conference (DELCON), 1-4 , 2024 2024 Citations: 1
Smart home forensics L Pullagura, NV Kumari, HK Bhuyan Cyber Forensics and Investigation on Smart Devices, 1-19 , 2024 2024 Citations: 1
Human Activity Recognition using CNN and Pretrained Machine Learning Models. VMP Dr. N Vinaya Kumari , MohdSalmanuddin Talha, CH Venkata Vinod ... Emperor Journal of Applied Scientific Research 4 (Issue-07), 11-16 , 2022 2022 Citations: 1
Model for Rail Transportation System To Predicting the Capacity of Train Speed and Length NV Kumari, GSP Ghantasala INTERNATIONAL JOURNAL OF EDUCATION, SOCIAL SCIENCES AND LINGUISTICS 1 (1), 1-10 , 2021 2021 Citations: 1
