Interactive Educational Content Using Marker Based Augmented Reality. - Kulandairaj Martin Sagayam 001; D. Jude Hemanth; J. Andrew Onesimu; Chiung Ching Ho; Dang Hien 001 (Information Technology and Intelligent Transportation Systems, 2020)

Untangling blockchain technology: A survey on state of the art, security threats, privacy services, applications and future research directions. - Bharat Bhushan; Preeti Sinha; Kulandairaj Martin Sagayam 001; J. Andrew Onesimu (Comput. Electr. Eng., 2021)

Internet of things based intelligent accident avoidance system for adverse weather and road conditions. - J. Andrew Onesimu; Abhishikt Kadam; Kulandairaj Martin Sagayam 001; Ahmed A. Elngar (J. Reliab. Intell. Environ., 2021)

An efficient clustering-based anonymization scheme for privacy-preserving data collection in IoT based healthcare services. - J. Andrew Onesimu; J. Karthikeyan; Yuichi Sei (Peer-to-Peer Netw. Appl., 2021)

Detection of Android Ransomware Using Machine Learning Approach. - Anoop Jose; C. Priyadharsini; P. Mercy Praise; G. Jaspher W. Kathrine; J. Andrew 001 (ATIS, 2022)

Variants of Crypto-Jacking Attacks and Their Detection Techniques. - P. Mercy Praise; S. Basil Xavier; Anoop Jose; G. Jaspher W. Kathrine; J. Andrew 001 (ATIS, 2022)

Privacy Preserving Attribute-Focused Anonymization Scheme for Healthcare Data Publishing. - J. Andrew Onesimu; J. Karthikeyan; Jennifer Eunice; Marc Pomplun; Hien Dang 001 (IEEE Access, 2022)

Machine Learning Model Generation With Copula-Based Synthetic Dataset for Local Differentially Private Numerical Data. - Yuichi Sei; J. Andrew Onesimu; Akihiko Ohsuga (IEEE Access, 2022)

AI visualization in Nanoscale Microscopy. - Rajagopal A.; Nirmala V.; Andrew J. 001; Arun Muthuraj Vedamanickam (CoRR, 2022)

SleepyWheels: An Ensemble Model for Drowsiness Detection leading to Accident Prevention. - Jomin Jose; Andrew J. 001; Kumudha Raimond; Shweta Vincent (CoRR, 2022)

Underwater estimation of audio signal prediction using fruit fly algorithm and hybrid wavelet neural network. - Kulandairaj Martin Sagayam 001; Ahona Ghosh; Bharat Bhushan; J. Andrew Onesimu; Korhan Cengiz; Ahmed A. Elngar (J. Reliab. Intell. Environ., 2022)

A Lightweight Authentication Framework for Fault-Tolerant Distributed WSN. - Kollu Siva Sai; Radhakrishna Bhat; Manjunath Hegde; J. Andrew 001 (IEEE Access, 2023)

Privacy-Preserving Collaborative Data Collection and Analysis With Many Missing Values. - Yuichi Sei; J. Andrew Onesimu; Hiroshi Okumura; Akihiko Ohsuga (IEEE Trans. Dependable Secur. Comput., 2023)

Sign2Pose: A Pose-Based Approach for Gloss Prediction Using a Transformer Model. - Jennifer Eunice; J. Andrew Onesimu; Yuichi Sei; D. Jude Hemanth (Sensors, 2023)

Blockchain for healthcare systems: Architecture, security challenges, trends and future directions. - Andrew J. 001; Deva Priya Isravel; K. Martin Sagayam 001; Bharat Bhushan; Yuichi Sei; Jennifer Eunice (J. Netw. Comput. Appl., 2023)

Detection of Epilepsy Disorder Using Spectrogram Images Generated From Brain EEG Signals. - Venkatesh Bhandage; Tejeswar Pokuri; Devansh Desai; Andrew Jeyabose (IEEE Access, 2024)

SmartCardio: Advancing cardiac risk prediction through Internet of Things and edge cloud intelligence. - S. Durga; Esther Daniel; J. Andrew 001; Radhakrishna Bhat (IET Wirel. Sens. Syst., 2024)

Optimizing land mine detection across diverse mining environments: A hyperspectral data approach with regression models. - R. Anand; Andrew J. 001; Ihab Makki (Int. J. Intell. Networks, 2024)

Detection and Segmentation of Glioma Tumors Utilizing a UNet Convolutional Neural Network Approach with Non-Subsampled Shearlet Transform. - M. Tamilarasi; S. Kumarganesh; K. Martin Sagayam 001; J. Andrew 001 (J. Comput. Biol., 2024)

Multivariate Forecasting of Network Traffic in SDN-Based Ubiquitous Healthcare System. - Deva Priya Isravel; Salaja Silas; Jaspher Willsie Kathrine Gnanaraj; Elijah Blessing Rajsingh; J. Andrew 001 (IEEE Open J. Commun. Soc., 2024)

Unified extractive-abstractive summarization: a hybrid approach utilizing BERT and transformer models for enhanced document summarization. - Divya S; Sripriya N; J. Andrew 001; Manuel Mazzara (PeerJ Comput. Sci., 2024)

Algorithm to satisfy l-diversity by combining dummy records and grouping. - Keiichiro Oishi; Yuichi Sei; J. Andrew 001; Yasuyuki Tahara; Akihiko Ohsuga (Secur. Priv., 2024)

A constructive airborne-ground matrix algorithm for modern telecommunication systems. - A. Samson Arun Raj; S. Basil Xavier; Jaspher Willsie Kathrine Gnanaraj; Salaja Silas; Andrew J. 001 (IET Networks, 2024)

Enhanced multivariate singular spectrum analysis-based network traffic forecasting for real time industrial IoT applications. - Deva Priya Isravel; Salaja Silas; G. Jaspher Willsie Kathrine; Elijah Blessing Rajsingh; Andrew J. 001 (IET Networks, 2024)

Neuromorphic computing for modeling neurological and psychiatric disorders: implications for drug development. - Amisha S. Raikar; J. Andrew 001; Pranjali Prabhu Dessai; Sweta M. Prabhu; Shounak Jathar; Aishwarya Prabhu; Mayuri B. Naik; Gokuldas Vedant S. Raikar (Artif. Intell. Rev., 2024)

Random Oversampling-Based Diabetes Classification via Machine Learning Algorithms. - Ashisha Gr; X. Anitha Mary; E. Grace Mary Kanaga; J. Andrew 001; R. Jennifer Eunice (Int. J. Comput. Intell. Syst., 2024)

CGI-Based Synthetic Data Generation and Detection Pipeline for Small Objects in Aerial Imagery. - Rudra Patel; Divyam Chandalia; Ashalatha Nayak; Andrew Jeyabose; David Jijo (IEEE Access, 2025)

Automated Parkinson's Disease Diagnosis Using Decomposition Techniques and Deep Learning for Accurate Gait Analysis. - S. Jeba Priya; C. Anand Deva Durai; M. S. P. Subathra; S. Thomas George; Andrew Jeyabose (IEEE Access, 2025)

A Deep Learning Model Leveraging Time-Series System Call Data to Detect Malware Attacks in Virtual Machines. - Appu Alfred Raja Melvin; Jaspher W. Kathrine; Andrew Jeyabose; D. Cenitta (Int. J. Comput. Intell. Syst., 2025)