Authentication of the Message through Hop-by-Hop and Secure the Source Nodes in Wireless Sensor Networks. - B. Anil Kumar; N. Bhaskara Rao; M. S. Sunitha (FICTA (2), 2014)

Real time bus arrival time prediction system under Indian traffic condition. - B. Dhivyabharathi; B. Anil Kumar; Lelitha Vanajakshi (ICITE, 2016)

A hybrid model based method for bus travel time estimation. - B. Anil Kumar; Lelitha Vanajakshi; Shankar C. Subramanian (J. Intell. Transp. Syst., 2018)

Traffic Density Estimation under Lane Indisciplined Conditions using Strips along the Road Width. - Reenu George; B. Anil Kumar; Lelitha Vanajakshi; Shankar C. Subramanian (COMSNETS, 2019)

Dynamic Bus Arrival Time Prediction exploiting Non-linear Correlations. - Avinash Achar; Rohith Regikumar; B. Anil Kumar (IJCNN, 2019)

A Seasonal Modelling Approach Capturing Spatio-Temporal Correlations for Dynamic Bus Travel Time Prediction. - B. Anil Kumar; Avinash Achar; Dhivya Bharathi; Lelitha Vanajakshi (ITSC, 2019)

Data-driven Models for Short-term Travel Time Predictio. - Aakash Kumar Narayanan; Chaitra Pranesh; Sarat Chandra Nagavarapu; B. Anil Kumar; Justin Dauwels (ITSC, 2019)

Bus Arrival Time Prediction: A Spatial Kalman Filter Approach. - Avinash Achar; Dhivya Bharathi; B. Anil Kumar; Lelitha Vanajakshi (IEEE Trans. Intell. Transp. Syst., 2020)

Numerical Stability of Conservation Equation for Bus Travel Time Prediction Using Automatic Vehicle Location Data. - B. Anil Kumar; Snigdha Mothukuri; Lelitha Vanajakshi (Int. J. Intell. Transp. Syst. Res., 2021)

Analysis of global positioning system based bus travel time data and its use for advanced public transportation system applications. - Abdhul Khadhir; B. Anil Kumar; Lelitha Devi Vanajakshi (J. Intell. Transp. Syst., 2021)

A Transfer Learning Approach with MobileNetV2 for Parkinson's Disease Detection using Hand-Drawings. - B. Anil Kumar; Mohan Bansal (ICCCNT, 2023)

Development of Driving Cycles for Electric Buses in Patna, India. - Piyush Kumar Pandey; Hardik Arora; B. Anil Kumar (MT-ITS, 2023)

Rule Based First Principles Approach to Identify Safe/Unsafe Behavior of Two-Wheeler Drivers Under Mixed Traffic Conditions. - Ankit Kumar Kushwaha; B. Anil Kumar (IEEE Access, 2023)

Fuzzy Probabilistic Approach to Identify Driving Behavior of Two-Wheeler Drivers Under Mixed Traffic Conditions. - Ankit Kumar Kushwaha; Kartik Shinde; B. Anil Kumar (IEEE Access, 2024)

Masked face age and gender identification using CAFFE-modified MobileNetV2 on photo and real-time video images by transfer learning and deep learning techniques. - B. Anil Kumar; Neeraj Kumar Misra (Expert Syst. Appl., 2024)

An effective IoT and deep learning-based patient healthcare monitoring system for chronic diseases prediction and classification. - B. Anil Kumar; Kranthi Kumar Lella (Int. J. Model. Simul. Sci. Comput., 2024)

Colon cancer classification and detection by novel CMNV2 model and methods of deep learning. - B. Anil Kumar; Neeraj Kumar Misra (Neural Comput. Appl., 2025)

Bus Arrival Time Prediction: A Comprehensive Review. - B. Anil Kumar; Ramanand Singh; Hima Elsa Shaji; Lelitha Vanajakshi (IEEE Trans. Intell. Transp. Syst., 2025)

A multi-level classification and prediction of unbalanced dataset real and fake faces using hybrid CMNV2 and deep learning methods. - B. Anil Kumar; Neeraj Kumar Misra (Int. J. Mach. Learn. Cybern., 2025)