Publication Details

• Classification of intracranial hemorrhage CT images based on texture analysis using ensemble-based machine learning algorithms: A comparative study, Biomedical Signal Processing and Control, SCIE, 2023  Rank.Q1.

• Multivariate Analysis of Ischaemic Lesions Using Computed Tomography and CT Perfusion Imaging: Critical Review, Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, ESCI, 2023, Rank Q2.

• A novel machine learning-based feature extraction method for classifying intracranial hemorrhage computed tomography images, Healthcare Analytics, Elsevier, Scopus, 2023.

• Predictive Analytics for Stroke Prediction Using a Wrapper-Based Feature Selection Pipeline Approach in Machine Learning,  ICDAI 2023. Lecture Notes in Networks and Systems, vol 727. Springer, Singapore.

• Insights of Deep Convolutional Neural Network for Traffic Sign Detection in Autonomous Vehicle, 2023 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC), Salem, India.

• An Autonomous Assistance Robot for Multi-Purpose Medical Applications Using ROS, 2023 International Conference on Computer, Electrical & Communication Engineering (ICCECE), Kolkata, India,

• A Relative Study on Object and Lane Detection,  Artificial Intelligence Applications and Reconfigurable Architectures , Scopus , Book Chapter. 2023.

• Robotic Assistant for Medicine and Food Delivery in Healthcare, Cyber Security, Privacy and Networking. Lecture Notes in Networks and Systems, vol 370. Springer, Singapore , 2022.

• Gender Aware CNN for Speech Emotion Recognition, Springer Nature, Health Informatics: A Computational Perspective in Healthcare, 978-981-15-9734-3, 494934_1-18, 2021.

• Novel Machine Learning Approach for Classifying Clinically Actionable Genetic Mutations in Cancer Patients, Springer Nature, Health Informatics: A Computational Perspective in Healthcare, 978-981-15-9734-3, 494934_1-16, 2021.

• Digi-Board A Smart Display Notice Board, Joint International Conference ICPCIT 2016 and ICICA 2019. IJCTA ISSN: 0974-5572.

• Parallel Palm Print Identification using Fractional Coefficients of Transformed Edge Images on GPU, Springer Proceedings, Joint International Conference  ICPCIT 2016 and ICICA 2018. IJCTA.

• Hybrid Swarm Intelligence Method for Post Clustering Content-Based Image Retrieval, Elsevier, 7th International Conference on Communication, Computing, and Virtualization 2016. DOI: 10.1016/j.procs.2017.03.065.

• Genetic Candidate Group Search Approach for Post Clustering Content-based Image Retrieval, IJCA, Dec 2015 DOI: 10.5120/ijca2015907677.

• Web-Based Application of Virtual Trial Room for Sari, International Journal of Engg Technology and Research Nov. 2015. ISSN: 2321-0869.

• Digi Board-A Smart Notice Board, International Journal of Engg Technology and Research Nov. 2015, ISSN: 2321-0869.

• Parallel palm print identification on GPU, International Journal of Advanced Research in Computer and Communication Engineering Vol. 4, Issue 1, January 2015

• Window ReFS File system: A study, International Journal of Advanced Research in Computer and Communication Engineering Vol. 4, Issue 4, April 2015

• Fingerprint Matcher System, International Journal of Scientific & Engineering Research, Volume 5, Issue 10, October -2014 ISSN 2229- 5518

• Palm Print Identification using Fractional Coefficient of Transformed Edge Palm Images with Cosine, Haar and Kekre Transform, IEEE Conference on Information and Communication Technologies, ICT-2013, ISBN: 978-1-4673- 5759-3, Page No. 1232 – 1236.

• Fractional Coefficients of Transformed Edge Palm Images with Cosine, Kekre, and Slant Wavelet Transforms for Palm Print Identification, Proceedings  of IEEE conference on Advances in computing, communication and Informatics ICACCI- 2013.

• Palm Print Identification using Walsh and Hartley Wavelet Transformed Palm Edge Images with Fractional Coefficients”. Published in International Journal of Computer Engineering Research and Technology (IJERT), ISSN: 2278-0181, Vol. 2 Issue 6, June – 2013.