Narendra Kumar Rao Bangole

Narendra Kumar Rao Bangole is a professor, member of the research advisory committee and doctoral supervisor cluster head for the School of Computing, Mohan Babu University, Tirupat, India. His Research interests include Software Testing, Embedded Systems and Machine Learning. He has taken part in several international conferences as program coordinator and conference chair for two international conferences. He was the convener for the International Conference on Data Analytics, and Intelligent Computing and Cyber Security. He has edited two conference proceedings in 2018 and 2022. He has won the Best Faculty Recognition, Nava Bharat Nirman Award from the Information Technology Association of AP & India Servers in 2019 and Best Researcher Award from the Integrated Research the Group (IRG), Chennai in 2018. He was also awarded the Trial Blazer-Highest Domain Level Award from Embedded Systems President, the STAR-Highest Business Unit Level Award from the Vice-President, and the FIMC- Highest Project Level Award from Wipro Technologies. He received his Ph.D degree in CSE from Jawaharlal Nehru Technological University, Hyderabad, India.

Publications

Enabling Smart Farming Through Edge Artificial Intelligence (AI)
Enabling Smart Farming Through Edge Artificial Intelligence (AI)
J. Avanija, C. Rajyalakshmi, K. Reddy Madhavi, B. Narendra Kumar Rao. © 2024. 14 pages.
This chapter explores the integration of edge AI in smart farming using technologies like edge computing and artificial intelligence algorithms. Process of deploying AI...
Enhancing Smart Agriculture Applications Utilizing Deep Learning Models and Computer Vision Techniques
Enhancing Smart Agriculture Applications Utilizing Deep Learning Models and Computer Vision Techniques
K. Srujan Raju, K. Suneetha, K. Reddy Madhavi, Kondra Pranitha, J. Avanija, B. Narendra Kumar Rao. © 2024. 15 pages.
The integration of deep learning models and computer vision techniques has created new agricultural possibilities, transforming traditional farming practices into smart and...
Diabetic Analysis and Prediction Using Deep Learning
Diabetic Analysis and Prediction Using Deep Learning
B. Narendra Kumar Rao, Ambati Poojitha, Achyutha Guru Preethi, Aithepalli Suresh Lalith Srinivas, Buthuru Venkata Kiran Kumar Reddy. © 2024. 15 pages.
Diabetes, a chronic metabolic disorder with wide-ranging health implications, presents a formidable global health challenge. Accurate prediction of the onset of diabetes is vital...
Bone Fracture Detection and Classification Using Deep Learning Techniques
Bone Fracture Detection and Classification Using Deep Learning Techniques
B. Narendra Kumar Rao, B. Pranitha, B. Kushal Reddy, D. Varsha, N. Nithin Reddy. © 2024. 10 pages.
The accurate classification of bone fractures plays a pivotal role in orthopaedic diagnosis and treatment planning. This study investigates the integration of deep learning...
Brain Interaction Assessment Using EEG Source Localization: sLORETA
Brain Interaction Assessment Using EEG Source Localization: sLORETA
B. Narendra Kumar Rao, G. Sailaja. © 2024. 14 pages.
In standardized low-resolution brain electromagnetic tomography (SLORETA), the electrical activity recorded by the electroencephalogram (EEG) electrodes, is transformed into a...
Making Healthcare Decisions: An Evolution
Making Healthcare Decisions: An Evolution
Venkata Tulasiramu Ponnada, Venkata Tulasikrishna Ponnada, Narendra Kumar Rao B., Rama Krishna Raju Sammeta, Hymavathi Jasti. © 2024. 26 pages.
The landscape of healthcare decision-making has undergone a transformative evolution in recent years, driven by advancements in medical technology, changing patient expectations...
Human Migration Analysis Using Machine Learning
Human Migration Analysis Using Machine Learning
Narendra Kumar Rao Bangole, Lingam Thanvitha, T. Benazir Suraiya, Y. N. V. Shashank, N. Loka Harshith. © 2024. 12 pages.
When we consider data analysis and machine learning, we usually discover it beneficial for business applications. However, both have immense potential to assist in the resolution...
A Machine Learning-Based Crop Diseases Detection and Management System
A Machine Learning-Based Crop Diseases Detection and Management System
Narendra Kumar Rao Bangole. © 2024. 17 pages.
This work proposes an innovative solution to address crop diseases. The objectives include developing a machine-learning model for rapid disease identification and designing a...
A Wellness Mobile Application for Smart Health
A Wellness Mobile Application for Smart Health
B. Narendra Kumar Rao. © 2023. 17 pages.
The suggested wellness mobile application uses many processes, both automatic and manual, to record various parameters on a daily basis. The wellness app also calculates and...
A Conceptual Framework for Addressing the Information of Farmers: A Study on Digital Agriculture
A Conceptual Framework for Addressing the Information of Farmers: A Study on Digital Agriculture
Narendra Kumar Rao Bangole, G.M. Chanakya, Rajesh Pasupuleti. © 2023. 10 pages.
The study's main goal is to use technology to stress the adoption of preventative practises where they are missing for the general health of Indian agriculture and the...
Playing Rock-Paper-Scissors Using AI Through OpenCV
Playing Rock-Paper-Scissors Using AI Through OpenCV
Narendra Kumar Rao Bangole, S. Ranjana. © 2023. 24 pages.
Day-to-day life has become smarter and more intertwined with technology in the modern era. We can chat with AI chatbots, and we can play with AI machines. In many cases, AI...
Game Playing (2048) Using Deep Neural Networks
Game Playing (2048) Using Deep Neural Networks
Narendra Kumar Rao Bangole, R. B. Moulya, R. Pranthi, Sreelekha Reddy, R. Namratha. © 2023. 12 pages.
A one-player game, 2048 is also known as stochastic puzzle. This fascinating and engaging game has gained widespread acclaim and drawn researchers to create gaming software. The...