Takip et
Kranti Kumar
Kranti Kumar
Assistant Professor, School of Liberal Studies, Dr. B. R. Ambedkar University Delhi, Delhi-110006
aud.ac.in üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
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
3442013
Short term traffic flow prediction in heterogeneous condition using artificial neural network
K Kumar, M Parida, VK Katiyar
Transport 30 (4), 397-405, 2015
1282015
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
1112023
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
652016
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
422011
Road traffic noise prediction with neural networks-a review
K Kumar, M Parida, VK KATIYAR
An International Journal Of Optimization And Control: Theories …, 2012
352012
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
332024
A review of bus arrival time prediction using artificial intelligence
N Singh, K Kumar
WIREs Data Mining and Knowledge Discovery, e1457, 2022
302022
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
282014
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
232021
Study on road traffic congestion: A review
M Kumar, K Kumar, P Das
Recent Trends in Communication and Electronics, 230-240, 2021
222021
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
192022
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
152023
Traffic congestion forecasting using multilayered deep neural network
K Kumar, M Kumar, P Das
Transportation Letters 16 (6), 516-526, 2024
142024
PREDICTION OF URBAN TRAFFIC NOISE USING ARTIFICIAL NEURAL NETWORK APPROACH.
K Kumar, M Parida, VK Katiyar
Environmental Engineering & Management Journal (EEMJ) 13 (4), 2014
112014
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
102023
Artificial neural network modeling for road traffic noise prediction
K Kumar, M Parida, VK Katiyar
2012 Third International Conference on Computing, Communication and …, 2012
102012
Bi-directional Long Short Term Memory Neural Network for Short-Term Traffic Speed Prediction Using Gravitational Search Algorithm
B Naheliya, P Redhu, K Kumar
International Journal of Intelligent Transportation Systems Research, 1-12, 2024
82024
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
72019
Quantum Machine Learning: Exploring the Role of Data Encoding Techniques, Challenges, and Future Directions
D Ranga, A Rana, S Prajapat, P Kumar, K Kumar, AV Vasilakos
Mathematics 12 (21), 3318, 2024
52024
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