| Solar Irradiance Forecasting Based on Deep Learning Methodologies and Multi-Site Data B Brahma, R Wadhvani Symmetry 12 (11), 1830, 2020 | 92 | 2020 |
| Training RNN and it’s Variants Using Sliding Window Technique P Khandelwal, J Konar, B Brahma 2020 IEEE International Students' Conference on Electrical, Electronics and …, 2020 | 8 | 2020 |
| Attention mechanism for developing wind speed and solar irradiance forecasting models B Brahma, R Wadhvani, S Shukla Wind Engineering 45 (6), 1422-1432, 2021 | 7 | 2021 |
| Visualizing solar irradiance data in ArcGIS and forecasting based on a novel deep neural network mechanism B Brahma, R Wadhvani Multimedia Tools and Applications 81 (7), 9015-9043, 2022 | 6 | 2022 |
| Time Series Forecasting: A Comparison of Deep Neural Network Techniques B Brahma, R Wadhvani Solid State Technology 63 (6), 1747-1761, 2020 | 4 | 2020 |
| A residual ensemble learning approach for solar irradiance forecasting B Brahma, R Wadhvani Multimedia Tools and Applications 82 (21), 33087-33109, 2023 | 3 | 2023 |
| Generating Data for Real World Time Series Application with GRU-Based Conditional GAN P Khare, R Wadhvani, M Gyanchandani, B Brahma Proceedings of International Conference on Data Science and Applications …, 2022 | 1 | 2022 |
| An online approach for cooperative cache updating and forwarding in mobile edge network MK Somesula, B Brahma, MR Raju, SK Mothku Wireless Networks, 1-15, 2024 | | 2024 |
| AI-Based Model for Detection and Classification of Alzheimer Disease S Kumar, NP Singh, B Brahma 2023 IEEE International Conference on Computer Vision and Machine …, 2023 | | 2023 |
| Attention LSTM for Time Series Forecasting of Financial Time Series Data Y Shali, B Brahma, R Wadhvani, M Gyanchandani International Conference on Internet of Things and Connected Technologies, 74-84, 2020 | | 2020 |
| Service Caching and User Association in Cache Enabled Multi-Uav Assisted Men for Latency-Sensitive Applications MK Somesula, MR Raju, MR Dorsala, B Brahma, SK Mothku Available at SSRN 4758273, 0 | | |
| Investigation of dataset characteristics for design of RNN Models in time series applications B Brahma Bhopal, 0 | | |
