‪Ankit Thakkar, SMIEEE (World's Top 2% Scientists for the year 2024, 2023, 2022)‬

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Kinjal ChaudhariAssistant Professor, Adani Universitynirmauni.ac.in üzerinde doğrulanmış e-posta adresine sahip
Ritika LohiyaAssistant Professor, Adani Universitynirmauni.ac.in üzerinde doğrulanmış e-posta adresine sahip
Ketan Kotecha (PhD, IIT Bombay)Symbiosis International University, IIT Bombay, Aston University UK,sitpune.edu.in üzerinde doğrulanmış e-posta adresine sahip
Dr. Preksha PareekThankur institute of engineering and Technologythakureducation.org üzerinde doğrulanmış e-posta adresine sahip
Dhara MungraData Scientistnyu.edu üzerinde doğrulanmış e-posta adresine sahip
Anjali AgrawalNew York Universitynyu.edu üzerinde doğrulanmış e-posta adresine sahip
Dr. Zunnun NarmawalaInstitute of Technology, Nirma Universitynirmauni.ac.in üzerinde doğrulanmış e-posta adresine sahip
PALAK PATELResearchernirmauni.ac.in üzerinde doğrulanmış e-posta adresine sahip
Preet ShahGoogle LLCgoogle.com üzerinde doğrulanmış e-posta adresine sahip
Dhaval PatelSenior Data Engineer at CVS Healthcvshealth.com üzerinde doğrulanmış e-posta adresine sahip
Kevin VoraPhD Student at Arizona State Universityasu.edu üzerinde doğrulanmış e-posta adresine sahip
SHASHVAT SHAHStudent, Institute of Technology, Nirma Universitynirmauni.ac.in üzerinde doğrulanmış e-posta adresine sahip
Monika ShahNirma Universitynirmauni.ac.in üzerinde doğrulanmış e-posta adresine sahip
Sapan H MankadInstitute of Technology, Nirma Universitynirmauni.ac.in üzerinde doğrulanmış e-posta adresine sahip
Shivani DesaiAssistant Professor, Computer Science and Enginnering Department, Nirma Universitynirmauni.ac.in üzerinde doğrulanmış e-posta adresine sahip
Devshri PandyaPhD Scholarnirmauni.ac.in üzerinde doğrulanmış e-posta adresine sahip
Ripal PatelAssociate Manager, S&P Global, Bangalore.

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Ankit Thakkar, SMIEEE (World's Top 2% Scientists for the year 2024, 2023, 2022)

Professor (Full), CSE Department, Institute of Technology, Nirma University

nirmauni.ac.in üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa

Wireless Sensor Networks Machine Learning and its Applications Swarm and Evolutionary Computation


Başlık Alıntılara göre sırala Yıla göre sırala Başlığa göre sırala	Alıntı yapanlar Alıntı yapanlar	Yıl
A survey on video-based human action recognition: recent updates, datasets, challenges, and applications P Pareek, A Thakkar Artificial Intelligence Review 54 (3), 2259-2322, 2021	370	2021
A review on machine learning and deep learning perspectives of IDS for IoT: recent updates, security issues, and challenges A Thakkar, R Lohiya Archives of Computational Methods in Engineering 28 (4), 3211-3243, 2021	333	2021
A Review of the Advancement in Intrusion Detection Datasets A Thakkar, R Lohiya Procedia Computer Science 167, 636–645, 2020	290	2020
A survey on intrusion detection system: feature selection, model, performance measures, application perspective, challenges, and future research directions A Thakkar, R Lohiya Artificial Intelligence Review 55 (1), 453-563, 2022	259	2022
A comprehensive survey on deep neural networks for stock market: The need, challenges, and future directions A Thakkar, K Chaudhari Expert Systems with Applications 177, 1-17, 2021	220	2021
Fusion in stock market prediction: a decade survey on the necessity, recent developments, and potential future directions A Thakkar, K Chaudhari Information Fusion 65, 95-107, 2021	217	2021
Cluster Head Election for Energy and Delay Constraint Applications of Wireless Sensor Network A Thakkar, K Kotecha IEEE Sensors Journal 14 (8), 2014	191	2014
Fusion of statistical importance for feature selection in Deep Neural Network-based Intrusion Detection System A Thakkar, R Lohiya Information Fusion 90, 353-363, 2023	164	2023
Attack classification using feature selection techniques: a comparative study A Thakkar, R Lohiya Journal of Ambient Intelligence and Humanized Computing 12 (1), 1249-1266, 2021	160	2021
A comprehensive survey on portfolio optimization, stock price and trend prediction using particle swarm optimization A Thakkar, K Chaudhari Archives of Computational Methods in Engineering 28 (4), 2133-2164, 2021	129	2021
Application domains, evaluation data sets, and research challenges of IoT: A systematic review R Lohiya, A Thakkar IEEE Internet of Things Journal 8 (11), 8774-8798, 2020	103	2020
Role of swarm and evolutionary algorithms for intrusion detection system: A survey A Thakkar, R Lohiya Swarm and Evolutionary Computation 53, 1-34, 2020	99	2020
A Comprehensive Survey on Travel Recommender Systems K Chaudhari, A Thakkar Archives of Computational Methods in Engineering, 1-27, 2019	95	2019
Attack classification of imbalanced intrusion data for IoT network using ensemble-learning-based deep neural network A Thakkar, R Lohiya IEEE Internet of Things Journal 10 (13), 11888-11895, 2023	89	2023
Survey on handwriting-based personality trait identification K Chaudhari, A Thakkar Expert Systems with Applications 124, 282-308, 2019	89	2019
Predicting stock trend using an integrated term frequency–inverse document frequency-based feature weight matrix with neural networks A Thakkar, K Chaudhari Applied Soft Computing 96, 106684, 2020	83	2020
CREST: cross-reference to exchange-based stock trend prediction using long short-term memory A Thakkar, K Chaudhari Procedia Computer Science 167, 616-625, 2020	67	2020
A survey on intelligent transportation system using internet of things P Patel, Z Narmawala, A Thakkar Emerging Research in Computing, Information, Communication and Applications …, 2019	58	2019
A new Bollinger Band based energy efficient routing for clustered wireless sensor network A Thakkar, K Kotecha Applied Soft Computing 32, 144-153, 2015	49	2015
Neural network systems with an integrated coefficient of variation-based feature selection for stock price and trend prediction K Chaudhari, A Thakkar Expert Systems with Applications 219, 119527, 2023	46	2023

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