Ketan Kotecha ( Listed in Top 2% scientist worldwide as published by Stanford University) 个人学术档案

引用次数

	总计	2019 年至今
引用	8937	7758
h 指数	46	45
i10 指数	193	167

2900

1450

725

2175

2011201220132014201520162017201820192020202120222023202435 44 59 88 151 162 224 287 345 466 833 1740 2824 1506

合著作者

Dr.Shruti PatilProfessor @Artificial Intelligence & Machine Learning Dept, Symbiosis Institute of Technology在 sitpune.edu.in 的电子邮件经过验证
Rahee WalambeSymbiosis Centre for Applied AI (SCAAI), Symbiosis Institute of Technology, SIU在 sitpune.edu.in 的电子邮件经过验证
Dr. Shilpa Bade-GiteAssociate Prof @SIT& Faculty@Symbiosis Centre for Applied AI, Symbiosis Institute of Technology Pune在 sitpune.edu.in 的电子邮件经过验证
Sharnil PandyaAssistant Professor, Northumbria University, UK, Marie-Curie Fellow-2021, IBM Certified IoT Trainer在 northumbria.ac.uk 的电子邮件经过验证
Ajith AbrahamBennett University, India在 bennett.edu.in 的电子邮件经过验证
Subramaniyaswamy VairavasundaramSchool of Computer Science and Engineering/ Vellore Institute of Technology在 vit.ac.in 的电子邮件经过验证
Satish KumarSymbiosis institute of Technology, Symbiosis International (Deemed University)在 sitpune.edu.in 的电子邮件经过验证
Arunkumar BongaleSymbiosis Institute of Technology, Symbiosis International (Deemed University)在 sitpune.edu.in 的电子邮件经过验证
Priyank ThakkarNirma University在 nirmauni.ac.in 的电子邮件经过验证
Dr. Pooja KamatFaculty,Symbiosis International University在 sitpune.edu.in 的电子邮件经过验证
Ankit Thakkar, SMIEEE (World's Top 2...Professor (Full), CSE Department, Institute of Technology, Nirma University在 nirmauni.ac.in 的电子邮件经过验证
Prof. Dr. Jatinderkumar R. SainiSymbiosis Institute of Computer Studies and Research, Pune, India在 sicsr.ac.in 的电子邮件经过验证
Dr. Vaishali D. KhairnarProfessor & HOD- Information Technology, Terna Engineering College, Nerul, NMU, UoM, Nirma在 ternaengg.ac.in 的电子邮件经过验证
Dr. Logesh RAVI.在 m.ounta.in 的电子邮件经过验证
Dr Dweepna GargBabaria Institute of Technology; Parul University; Devang Patel Institute of Advance Technology and在 charusat.ac.in 的电子邮件经过验证
Ganeshsree SelvachandranProfessor, Monash University Malaysia, Bandar Sunway, Malaysia在 monash.edu 的电子邮件经过验证
Indragandhi VVIT UNIVERSITY在 vit.ac.in 的电子邮件经过验证
Sahil ShahIIT Bombay在 cse.iitb.ac.in 的电子邮件经过验证
Apurva. ShahThe Maharaja Sayajirao University of Baroda在 msubaroda.ac.in 的电子邮件经过验证
Dr Deepak GargProfessor Computer Science, SR University在 thapar.edu 的电子邮件经过验证

关注

Ketan Kotecha ( Listed in Top 2% scientist worldwide as published by Stanford University)

Symbiosis International University, IIT Bombay, Aston University UK,

在 sitpune.edu.in 的电子邮件经过验证 - 首页

Artificial intelligence Machine Learning Deep Learning Multimodal AI Explainable AI


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	1190	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	637	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	222	2021
Cluster Head Election for Energy and Delay Constraint Applications of Wireless Sensor Network A Thakkar, K Kotecha IEEE Sensors Journal 14 (8), 2014	189	2014
A review on explainability in multimodal deep neural nets G Joshi, R Walambe, K Kotecha IEEE Access 9, 59800-59821, 2021	138	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	115	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	114	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	114	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	113	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	106	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	101	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	96	2022
Enhanced lung image segmentation using deep learning S Gite, A Mishra, K Kotecha Neural Computing and Applications 35 (31), 22839-22853, 2023	95	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	95	2021
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	89	2020
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	88	2022
Mobility models for vehicular ad-hoc network simulation VD Khairnar, SN Pradhan 2011 IEEE Symposium on Computers & Informatics, 460-465, 2011	85	2011
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	83	2020
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	82	2021
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	73	2021

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