Ketan Kotecha ( Listed in Top 2% scientist worldwide as published by Stanford University)
Ketan Kotecha ( Listed in Top 2% scientist worldwide as published by Stanford University)
Symbiosis International University, IIT Bombay, Aston University UK,
Verified email at - Homepage
Cited by
Cited by
Predicting stock and stock price index movement using trend deterministic data preparation and machine learning techniques
J Patel, S Shah, P Thakkar, K Kotecha
Expert systems with applications 42 (1), 259-268, 2015
Predicting stock market index using fusion of machine learning techniques
J Patel, S Shah, P Thakkar, K Kotecha
Expert systems with applications 42 (4), 2162-2172, 2015
Random forest bagging and x‐means clustered antipattern detection from SQL query log for accessing secure mobile data
RK Dhanaraj, V Ramakrishnan, M Poongodi, L Krishnasamy, M Hamdi, ...
Wireless communications and mobile computing 2021 (1), 2730246, 2021
Cluster Head Election for Energy and Delay Constraint Applications of Wireless Sensor Network
A Thakkar, K Kotecha
IEEE Sensors Journal 14 (8), 2014
A review on explainability in multimodal deep neural nets
G Joshi, R Walambe, K Kotecha
IEEE Access 9, 59800-59821, 2021
Harvesting social media sentiment analysis to enhance stock market prediction using deep learning
P Mehta, S Pandya, K Kotecha
PeerJ Computer Science 7, e476, 2021
Machine learning techniques and older adults processing of online information and misinformation: A covid 19 study
J Choudrie, S Banerjee, K Kotecha, R Walambe, H Karende, J Ameta
Computers in human behavior 119, 106716, 2021
Performance of vehicle-to-vehicle communication using IEEE 802.11 p in vehicular ad-hoc network environment
VD Khairnar, K Kotecha
arXiv preprint arXiv:1304.3357, 2013
Deep learning based respiratory sound analysis for detection of chronic obstructive pulmonary disease
A Srivastava, S Jain, R Miranda, S Patil, S Pandya, K Kotecha
PeerJ Computer Science 7, e369, 2021
Multimodal co-learning: Challenges, applications with datasets, recent advances and future directions
A Rahate, R Walambe, S Ramanna, K Kotecha
Information Fusion 81, 203-239, 2022
A deep learning approach for face detection using YOLO
D Garg, P Goel, S Pandya, A Ganatra, K Kotecha
2018 IEEE Punecon, 1-4, 2018
A review on machine learning styles in computer vision—techniques and future directions
SV Mahadevkar, B Khemani, S Patil, K Kotecha, DR Vora, A Abraham, ...
Ieee Access 10, 107293-107329, 2022
Enhanced lung image segmentation using deep learning
S Gite, A Mishra, K Kotecha
Neural Computing and Applications 35 (31), 22839-22853, 2023
A review of maximum power point tracking algorithms for wind energy conversion systems
J Pande, P Nasikkar, K Kotecha, V Varadarajan
Journal of Marine Science and Engineering 9 (11), 1187, 2021
A systematic literature review on software defect prediction using artificial intelligence: Datasets, Data Validation Methods, Approaches, and Tools
J Pachouly, S Ahirrao, K Kotecha, G Selvachandran, A Abraham
Engineering Applications of Artificial Intelligence 111, 104773, 2022
Enhancing cyber–physical systems with hybrid smart city cyber security architecture for secure public data-smart network
S Sengan, V Subramaniyaswamy, SK Nair, V Indragandhi, J Manikandan, ...
Future generation computer systems 112, 724-737, 2020
Mobility models for vehicular ad-hoc network simulation
VD Khairnar, SN Pradhan
2011 IEEE Symposium on Computers & Informatics, 460-465, 2011
Cervical cancer detection in pap smear whole slide images using convnet with transfer learning and progressive resizing
AR Bhatt, A Ganatra, K Kotecha
PeerJ Computer Science 7, e348, 2021
Data augmentation using MG-GAN for improved cancer classification on gene expression data
P Chaudhari, H Agrawal, K Kotecha
Soft Computing 24, 11381-11391, 2020
Efficient automated processing of the unstructured documents using artificial intelligence: A systematic literature review and future directions
D Baviskar, S Ahirrao, V Potdar, K Kotecha
IEEE Access 9, 72894-72936, 2021
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