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Ashish Kumar Pandey
Ashish Kumar Pandey
Assistant Professor of Mathematics, Indraprastha Institute of Information Technology Delhi
在 iiitd.ac.in 的电子邮件经过验证 - 首页
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引用次数
引用次数
年份
Smooth maximum unit: Smooth activation function for deep networks using smoothing maximum technique
K Biswas, S Kumar, S Banerjee, AK Pandey
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
71*2022
Modulational instability in a full‐dispersion shallow water model
VM Hur, AK Pandey
Studies in Applied Mathematics 142 (1), 3-47, 2019
532019
Modulational instability in nonlinear nonlocal equations of regularized long wave type
VM Hur, AK Pandey
Physica D: Nonlinear Phenomena 325, 98-112, 2016
262016
TanhSoft—dynamic trainable activation functions for faster learning and better performance
K Biswas, S Kumar, S Banerjee, AK Pandey
IEEE Access 9, 120613-120623, 2021
24*2021
Neo-bedside monitoring device for integrated neonatal intensive care unit (iNICU)
H Singh, R Kaur, A Gangadharan, AK Pandey, A Manur, Y Sun, S Saluja, ...
IEEE Access 7, 7803-7813, 2018
182018
Erfact and pserf: Non-monotonic smooth trainable activation functions
K Biswas, S Kumar, S Banerjee, AK Pandey
Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 6097-6105, 2022
152022
The effects of surface tension on modulational instability in full-dispersion water-wave models
AK Pandey
European Journal of Mechanics-B/Fluids 77, 177-182, 2019
13*2019
Development of data dictionary for neonatal intensive care unit: advancement towards a better critical care unit
H Singh, R Kaur, S Saluja, SJ Cho, A Kaur, AK Pandey, S Gupta, R Das, ...
JAMIA open 3 (1), 21-30, 2020
112020
Designing a bed-side system for predicting length of stay in a neonatal intensive care unit
H Singh, SJ Cho, S Gupta, R Kaur, S Sunidhi, S Saluja, AK Pandey, ...
Scientific reports 11 (1), 3342, 2021
102021
EIS - Efficient and Trainable Activation Functions for Better Accuracy and Performance
K Biswas, S Kumar, S Banerjee, AK Pandey
30th International Conference on Artificial Neural Networks, ICANN2021, 2021
92021
SAU: Smooth activation function using convolution with approximate identities
K Biswas, S Kumar, S Banerjee, A Kumar Pandey
European Conference on Computer Vision, 313-329, 2022
82022
Modulational instability in the full-dispersion Camassa–Holm equation
VM Hur, AK Pandey
Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2017
82017
Prediction of Landfall Intensity, Location, and Time of a Tropical Cyclone
S Kumar, K Biswas, AK Pandey
Proceedings of the AAAI Conference on Artificial Intelligence 35 (17), 14831 …, 2021
72021
Assessment of erectile dysfunction and other sexual dysfunction in men with type 2 diabetes mellitus: A multicenter observational study in North India
M Gupta, A Tiwari, KP Chandra, R Awasthi, S Chaudhary, N Gupta, ...
Clinical Epidemiology and Global Health 18, 101136, 2022
62022
Intensity prediction of tropical cyclones using long short-term memory network
K Biswas, S Kumar, AK Pandey
arXiv preprint arXiv:2107.03187, 2021
62021
Track prediction of tropical cyclones using long short-term memory network
S Kumar, K Biswas, AK Pandey
2021 IEEE 11th Annual Computing and Communication Workshop and Conference …, 2021
62021
Machine learning-based automatic classification of video recorded neonatal manipulations and associated physiological parameters: a feasibility study
H Singh, S Kusuda, RM McAdams, S Gupta, J Kalra, R Kaur, R Das, ...
Children 8 (1), 1, 2020
62020
Orthogonal-Pad\'e Activation Functions: Trainable Activation functions for smooth and faster convergence in deep networks
K Biswas, S Banerjee, AK Pandey
arXiv preprint arXiv:2106.09693, 2021
52021
Tropical cyclone intensity estimations over the Indian ocean using machine learning
K Biswas, S Kumar, AK Pandey
arXiv preprint arXiv:2107.05573, 2021
42021
Predicting Landfall's Location and Time of a Tropical Cyclone Using Reanalysis Data
S Kumar, K Biswas, AK Pandey
30th International Conference on Artificial Neural Networks, ICANN2021, 2021
42021
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