| Impact of Data Normalization on Deep Neural Network for Time Series Forecasting S Bhanja, A Das arXiv preprint arXiv:1812.05519, 2018 | 180 | 2018 |
| A Black Swan event-based hybrid model for Indian stock markets’ trends prediction S Bhanja, A Das Innovations in Systems and Software Engineering 20 (2), 121-135, 2024 | 30 | 2024 |
| Deep neural network for multivariate time-series forecasting S Bhanja, A Das Proceedings of International Conference on Frontiers in Computing and …, 2021 | 24 | 2021 |
| Deep learning-based integrated stacked model for the stock market prediction S Bhanja, A Das Int. J. Eng. Adv. Technol 9 (1), 5167-5174, 2019 | 20 | 2019 |
| Impact of data normalization on deep neural network for time series forecasting. arXiv 2018 S Bhanja, A Das arXiv preprint arXiv:1812.05519, 0 | 20 | |
| A hybrid deep learning model for air quality time series prediction S Bhanja, D Abhishek Indonesian Journal of Electrical Engineering and Computer Science 22 (03 …, 2021 | 10 | 2021 |
| A hybrid neuro-fuzzy prediction system with butterfly optimization algorithm for PM2.5 forecasting S Bhanja, S Metia, A Das Microsystem Technologies, 1-16, 2022 | 7 | 2022 |
| AndyWar: an intelligent android malware detection using machine learning S Roy, S Bhanja, A Das Innovations in Systems and Software Engineering, 1-9, 2023 | 5 | 2023 |
| Electrical Power Demand Forecasting of Smart Buildings: A Deep Learning Approach S Bhanja, A Das Proceedings of International Conference on Computational Intelligence, Data …, 2021 | 3 | 2021 |
| Impact of Data Normalization on Deep Neural Network for Time Series Forecasting. doi. org/10.48550 B Samit, D Abhishek arXiv, 2019 | 2* | 2019 |
| An air quality forecasting method using fuzzy time series with butterfly optimization algorithm S Bhanja, A Das Microsystem Technologies 30 (5), 613-623, 2024 | 1 | 2024 |
| Novel Machine Learning Techniques for Diabetes Prediction M Zahedi, S Bhajna, AD Das Intelligent Human Centered Computing (HUMAN 2023), 274-288, 2023 | 1 | 2023 |
| A Deep Learning Framework to Forecast Stock Trends Based on Black Swan Events S Bhanja, A Das Proceedings of International Conference on Innovations in Software …, 2021 | 1 | 2021 |
| Multi-Step-Ahead Time Series Forecasting using Deep Learning and Fuzzy Time Series-based Error Correction Method. S Bhanja, B Ghose, A Das Journal of Universal Computer Science (JUCS) 30 (11), 2024 | | 2024 |
| Innovative intelligent systems and applications: A Swarm intelligence perspective M Zahedi, M Iqbal, S Bhanja, OO Roseline, A Das RECENT TRENDS IN SWARM INTELLIGENCE ENABLED RESEARCH FOR ENGINEERING …, 2024 | | 2024 |
| Machine Learning for Dementia and Alzheimer’s Disease Prediction M Iqbal, RO Ogundokun, S Bhanja, S Sengupta, A Das International Conference on Emerging Applications of Information Technology …, 2024 | | 2024 |
| A Smart City Air Quality Data Imputation Method Using Markov Weights-Based Fuzzy Transfer Learning S Bhanja, S Metia, A Das IETE Journal of Research 69 (9), 5755-5763, 2023 | | 2023 |
| Deep Learning Approaches to Improve Effectiveness and Efficiency for Time Series Prediction D Ali, N Tiwari, B Das, S Bhanja, A Das Proceedings of International Conference on Computational Intelligence, Data …, 2021 | | 2021 |
| Machine Learning for Dementia M Iqbal, RO Ogundokun, S Bhanja, S Sengupta Machine Learning for Social Transformation: Proceedings of EAIT 2024, 271, 0 | | |
Abhishek DasAssociate Professor & Head at Aliah University, Kolkataaliah.ac.in üzerinde doğrulanmış e-posta adresine sahip