Internet of things: Applications and challenges in technology and standardization D Bandyopadhyay, J Sen Wireless personal communications 58, 49-69, 2011 | 2203 | 2011 |
A survey on wireless sensor network security J Sen arXiv preprint arXiv:1011.1529, 2010 | 455 | 2010 |
Proposed embedded security framework for internet of things (iot) S Babar, A Stango, N Prasad, J Sen, R Prasad 2011 2nd International Conference on Wireless Communication, Vehicular …, 2011 | 412 | 2011 |
Security of self-organizing networks: MANET, WSN, WMN, VANET ASK Pathan CRC press, 2016 | 389 | 2016 |
Security and privacy issues in cloud computing J Sen Cloud technology: concepts, methodologies, tools, and applications, 1585-1630, 2015 | 300 | 2015 |
Embedded security for Internet of Things A Ukil, J Sen, S Koilakonda 2011 2nd National Conference on Emerging Trends and Applications in Computer …, 2011 | 219 | 2011 |
Stock price prediction using machine learning and LSTM-based deep learning models S Mehtab, J Sen, A Dutta Machine Learning and Metaheuristics Algorithms, and Applications: Second …, 2021 | 215 | 2021 |
Wireless sensor networks: Current status and future trends S Khan, ASK Pathan, NA Alrajeh CRC press, 2016 | 196 | 2016 |
A mechanism for detection of gray hole attack in mobile Ad Hoc networks J Sen, MG Chandra, SG Harihara, H Reddy, P Balamuralidhar 2007 6th International Conference on Information, Communications & Signal …, 2007 | 183 | 2007 |
Stock price prediction using convolutional neural networks on a multivariate timeseries S Mehtab, J Sen arXiv preprint arXiv:2001.09769, 2020 | 160 | 2020 |
A robust predictive model for stock price prediction using deep learning and natural language processing S Mehtab, J Sen arXiv preprint arXiv:1912.07700, 2019 | 154 | 2019 |
A mechanism for detection of cooperative black hole attack in mobile ad hoc networks J Sen, S Koilakonda, A Ukil 2011 Second International Conference on Intelligent Systems, Modelling and …, 2011 | 139 | 2011 |
A time series analysis-based stock price prediction using machine learning and deep learning models S Mehtab, J Sen International Journal of Business Forecasting and Marketing Intelligence 6 …, 2020 | 137 | 2020 |
Stock price prediction using CNN and LSTM-based deep learning models S Mehtab, J Sen 2020 International Conference on Decision Aid Sciences and Application (DASA …, 2020 | 129 | 2020 |
Stock price prediction using machine learning and deep learning frameworks J Sen, TD Chaudhuri Proceedings of the 6th International Conference on Business Analytics and …, 2018 | 102 | 2018 |
Analysis and forecasting of financial time series using CNN and LSTM-based deep learning models S Mehtab, J Sen Advances in Distributed Computing and Machine Learning: Proceedings of …, 2022 | 97 | 2022 |
Robust analysis of stock price time series using CNN and LSTM-based deep learning models S Mehtab, J Sen, S Dasgupta 2020 4th International Conference on Electronics, Communication and …, 2020 | 97 | 2020 |
A proposed architecture for big data driven supply chain analytics S Biswas, J Sen arXiv preprint arXiv:1705.04958, 2017 | 88 | 2017 |
An alternative framework for time series decomposition and forecasting and its relevance for portfolio choice: a comparative study of the Indian consumer durable and small cap … J Sen, TD Chaudhuri arXiv preprint arXiv:1605.03930, 2016 | 83 | 2016 |
Decomposition of time series data of stock markets and its implications for prediction: an application for the Indian auto sector J Sen, TD Chaudhuri arXiv preprint arXiv:1601.02407, 2016 | 83 | 2016 |