Publications

Reshma DSouza, Dr. Snigdha Sen (2026). A SwinBERT framework with temporal windowed cross attention for video captioning for visual language intelligence. Discover Applied Sciences.

Aditya Dabhade, Soumendu Chakraborty, Dr. Snigdha Sen (2026). A novel block based preparation network using convolutional neural networks for image steganography and robust data protection. Multimedia Tools and Applications.

S Nithya, Shreya Banerjee, Dr. Snigdha Sen, S Senthil Kumar (2026). Explainable Deep Learning for Satellite Telemetry Anomaly Detection: A Systematic Literature Review. IEEE Access.

Sk Sahil Parvez, Roushan Kumar, MD Shaheer, Dr. Snigdha Sen, Pavan Chakraborty (2026). Efficient LLM Framework Using LORA Based Fine Tuning to Analyze Textual Astronomical Data. Soft Computing and Its Engineering Applications (icSoftComp 2025).

B. Madhu, Dr. Snigdha Sen (2026). An AI-Based Secure and Robust Customized Patient Healthcare System Using Blockchain Technology. AI in Smart and Secure Healthcare.

Haarika Alla, Dr. Snigdha Sen, Jayita Saha (2026). 3D CNNs for Hyperspectral-Based Water Potability Detection. Soft Computing and Its Engineering Applications (icSoftComp 2025).

Rojer Tufani, Dr. Snigdha Sen, Pavan Chakraborty (2025). Harnessing The Potential of Pandas and PySpark: An In-Depth Performance Evaluation for Machine Learning Classification on Single Node Architectures. 2025 International Conference on Artificial Intelligence and Machine Vision (AIMV).

Jayita Saha, Mohit Kumar, Aarya Shah, Dr. Snigdha Sen (2025). Extensive Log Analysis Using Small Language Models in Minimal Resource Environments. 2025 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS).

Abubakkar Sk, Soumendu Chakraborty, Dr. Snigdha Sen (2025). A novel blocked based U-Net model for image steganography. Multimedia Tools and Applications.

Dr. Snigdha Sen, Shreya Banerjee (2025). Precise Image Segmentation using Explainable U-Net based Hybrid Approach for Improved Detection of Skin Lesion. International Journal of Computing and Digital Systems.

Dr. Snigdha Sen, Ambuj Kumar Pandit, Pavan Chakraborty, Krishna Pratap Singh (2025). Performance evaluation of efficient interpretable CNN-transformer model for redshift prediction. Signal, Image and Video Processing.

Arbeena Hassan, Anuritha Juturu, Dr. Snigdha Sen, Reshma Dsouza (2025). Real-Time Object Detection and Tracking Using Mobinet and SSD Algorithms. Intelligent Systems (International Conference on Machine Learning, IoT and Big Data).

D. Mahesh, N. V. Raju, Dr. Snigdha Sen (2025). Machine learning approaches for predicting dielectric properties of banana fibers reinforced with polypropylene composites. Multiscale and Multidisciplinary Modeling, Experiments and Design.

Manoj Ishwar Hegde, N. Dhanvina, N. Dharshan, Dr. Snigdha Sen (2025). Investigation of Machine Learning Algorithms in Detecting Chronic Kidney Disorder. Machine Learning for Disease Detection, Prediction, and Diagnosis.

Rojer Tufani, Dr. Snigdha Sen, Pavan Chakraborty (2025). Comprehensive Performance Analysis of PySpark and Pandas for Classification and Clustering Task. Advances in Health Informatics, Intelligent Systems, and Networking Technologies.

S Madhavi, D Mahesh, NV Raju, Dr. Snigdha Sen, Jobish Johns (2025). Analysing and predicting dielectric properties of bamboo fiber filled polypropylene composites using artificial neural network. Journal of the Indian Academy of Wood Science.

Dr. Snigdha Sen, Pavan Chakraborty (2024). Evaluating Efficacy of MAML Based Approach on Regression Using Astronomical Imbalanced Dataset. 2024 International Conference on Computational Intelligence and Network Systems (CINS).

Dr. Snigdha Sen, B. Madhu (2024). Revolutionizing Quantum Cryptography With Artificial Intelligence: A Perspective for Collaborative Research. Advancing Cyber Security Through Quantum Cryptography.

Dr. Snigdha Sen, Pavan Chakraborty, Sumit Das, Keshav Pandey, Plvb Narayana (2024). Investigation of Clustering Methods for SDSS Galaxy Images through Feature Extraction with VGG-16. 2024 IEEE Space, Aerospace and Defence Conference (SPACE).

M. Manasa, Dr. Snigdha Sen (2024). Interpretable Predictions for crime categories using log loss approach for imbalanced target feature. 2024 IEEE International Conference on Contemporary Computing and Communications (InC4).

Dr. Snigdha Sen, Krishna Pratap Singh, Pavan Chakraborty (2023). Dealing with imbalanced regression problem for large dataset using scalable Artificial Neural Network. New Astronomy.

I. Amrita, Dr. Snigdha Sen (2023). Deep Learning Algorithms for Classification and Prediction of Acute Lymphoblastic Leukemia. Current Applications of Deep Learning in Cancer Diagnostics.

K. Shreevershith, Dr. Snigdha Sen, G. B. Roopesh (2023). An Energy-Efficient Deep Neural Network Model for Photometric Redshift Estimation. Innovations in Computer Science and Engineering.

Mahesh Doddashamachar, Dr. Snigdha Sen, Raju Nama Vasudeva Setty (2023). A novel Artificial Neural Network-based model for predicting dielectric properties of banana fiber filled with polypropylene composites. Journal of Thermoplastic Composite Materials.

Dr. Snigdha Sen, Snehanshu Saha, Pavan Chakraborty, Krishna Pratap Singh (2023). A Fast and Robust Photometric Redshift Forecasting Method Using Lipschitz Adaptive Learning Rate. Neural Information Processing (ICONIP 2022).

Dr. Snigdha Sen, Sonali Agarwal, Pavan Chakraborty, Krishna Pratap Singh (2022). Astronomical big data processing using machine learning: A comprehensive review. Experimental Astronomy.

Dr. Snigdha Sen, Snehanshu Saha, Pavan Chakraborty, Krishna Pratap Singh (2021). Implementation of Neural Network Regression Model for Faster Redshift Analysis on Cloud-Based Spark Platform. Advances and Trends in Artificial Intelligence. From Theory to Practice (IEA/AIE 2021).

Dr. Snigdha Sen (2020). Robotics as learning tutor and its aid in education. CSI Communications.

Dr. Snigdha Sen (2020). Analysis, Visualization and prediction of Covid19 pandemic spread using Machine Learning. LNCS, Springer.

Dr. Snigdha Sen (2020). Quantum Computing: A new phase of Computing. CSI Communications.

Dr. Snigdha Sen (2020). An Overview of Semantic Web. CSI Communications.

Dr. Snigdha Sen (2019). Comparative Study of Methodologies for Home Automation System: A Survey. International Journal of Computer Sciences and Engineering (IJCSE).

Dr. Snigdha Sen (2019). Development of an IoT Based Shopping Trolley. International Journal on Recent and Innovation Trends in Computing and Communication (IJRITCC).

Dr. Snigdha Sen (2018). Development of an Exclusive Web Application for Family. International Journal of Advanced Research in Computer Science.

Dr. Snigdha Sen (2017). Implementation of deduplication scheme for Encrypted Data in Cloud. International Journal of Innovative Research in Computer and Communication Engineering (IJIRCCE).

Dr. Snigdha Sen, B Madhu (2017). Smart agriculture: a bliss to farmers. International Journal of Engineering Sciences & Research Technology.

Dr. Snigdha Sen (2016). Internet of Things: an Introduction to Connecting the Unconnected. International Journal of Engineering Research & Technology (IJERT).