| Short term traffic flow prediction for a non urban highway using artificial neural network K Kumar, M Parida, VK Katiyar Procedia-Social and Behavioral Sciences 104, 755-764, 2013 | 321 | 2013 |
| Short term traffic flow prediction in heterogeneous condition using artificial neural network K Kumar, M Parida, VK Katiyar Transport 30 (4), 397-405, 2015 | 120 | 2015 |
| Traffic accident prediction model using support vector machines with Gaussian kernel B Sharma, VK Katiyar, K Kumar Proceedings of Fifth International Conference on Soft Computing for Problem …, 2016 | 49 | 2016 |
| Short-term traffic flow prediction based on optimized deep learning neural network: PSO-Bi-LSTM Bharti, P Redhu, K Kumar Physica A: Statistical Mechanics and its Applications, 129001, 2023 | 48 | 2023 |
| Mathematical modeling of road traffic noise prediction K Kumar, VK Katiyar, M Parida, K Rawat Int. J. of Appl. Math and Mech 7 (4), 21-28, 2011 | 41 | 2011 |
| Road traffic noise prediction with neural networks-a review K Kumar, M Parida, VK KATIYAR An International Journal Of Optimization And Control: Theories …, 2012 | 33 | 2012 |
| Optimized height of noise barrier for non-urban highway using artificial neural network K Kumar, M Parida, VK Katiyar International Journal of Environmental Science and Technology 11, 719-730, 2014 | 28 | 2014 |
| Dynamic noise mapping of road traffic in an urban city RK Mishra, K Nair, K Kumar, A Shukla Arabian Journal of Geosciences 14, 1-11, 2021 | 20 | 2021 |
| Analytical method to solve the local fractional vehicular traffic flow model N Singh, K Kumar, P Goswami, H Jafari Mathematical Methods in the Applied Sciences 45 (7), 3983-4001, 2022 | 16 | 2022 |
| A review of bus arrival time prediction using artificial intelligence N Singh, K Kumar WIREs Data Mining and Knowledge Discovery, e1457, 2022 | 16 | 2022 |
| Study on road traffic congestion: A review M Kumar, K Kumar, P Das Recent Trends in Communication and Electronics, 230-240, 2021 | 15 | 2021 |
| PREDICTION OF URBAN TRAFFIC NOISE USING ARTIFICIAL NEURAL NETWORK APPROACH. K Kumar, M Parida, VK Katiyar Environmental Engineering & Management Journal (EEMJ) 13 (4), 2014 | 10 | 2014 |
| Artificial neural network modeling for road traffic noise prediction K Kumar, M Parida, VK Katiyar 2012 Third International Conference on Computing, Communication and …, 2012 | 10 | 2012 |
| Artificial neural network for solving the nonlinear singular fractional differential equations S Althubiti, M Kumar, P Goswami, K Kumar Applied Mathematics in Science and Engineering 31 (1), 2187389, 2023 | 9 | 2023 |
| Traffic congestion forecasting using multilayered deep neural network K Kumar, M Kumar, P Das Transportation Letters, 1-11, 2023 | 6 | 2023 |
| Study on the effects of traffic noise on human health K Kumar INTER-NOISE and NOISE-CON Congress and Conference Proceedings 259 (3), 6783-6794, 2019 | 5 | 2019 |
| MFOA-Bi-LSTM: An optimized bidirectional long short-term memory model for short-term traffic flow prediction B Naheliya, P Redhu, K Kumar Physica A: Statistical Mechanics and its Applications 634, 129448, 2024 | 4 | 2024 |
| A Hybrid Deep Learning Method for Short-Term Traffic Flow Forecasting: GSA-LSTM Bharti, P Redhu, K Kumar Indian Journal of Science & Technology 16 (46), 4358-4368, 2023 | 3 | 2023 |
| Traffic Congestion Prediction Using Categorized Vehicular Speed Data M Kumar, K Kumar Proceedings of the Sixth International Conference of Transportation Research …, 2022 | 3 | 2022 |
| Traffic Congestion Prediction Using Feature Series LSTM Neural Network and a New Congestion Index M Kumar, K Kumar International Journal on Artificial Intelligence Tools, 2023 | 2 | 2023 |
Manoranjan ParidaProfessor, Civil Engineering Department, Indian Institute of Technology Roorkee在 ce.iitr.ac.in 的电子邮件经过验证
