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Ankit Thakkar, SMIEEE (World's Top 2% Scientists for the year 2023, 2022)
Ankit Thakkar, SMIEEE (World's Top 2% Scientists for the year 2023, 2022)
Other namesAnkit Thakkar
Professor (Full), CSE Department, Institute of Technology, Nirma University
Verified email at nirmauni.ac.in - Homepage
Title
Cited by
Cited by
Year
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
2582021
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
2252021
A Review of the Advancement in Intrusion Detection Datasets
A Thakkar, R Lohiya
Procedia Computer Science 167, 636–645, 2020
2082020
Cluster Head Election for Energy and Delay Constraint Applications of Wireless Sensor Network
A Thakkar, K Kotecha
IEEE Sensors Journal 14 (8), 2014
1862014
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
1552021
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
1462021
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
1422022
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
1142021
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
962021
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
812023
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
762020
Role of swarm and evolutionary algorithms for intrusion detection system: A survey
A Thakkar, R Lohiya
Swarm and Evolutionary Computation 53, 1-34, 2020
762020
Survey on handwriting-based personality trait identification
K Chaudhari, A Thakkar
Expert Systems with Applications 124, 282-308, 2019
762019
A Comprehensive Survey on Travel Recommender Systems
K Chaudhari, A Thakkar
Archives of Computational Methods in Engineering, 1-27, 2019
662019
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
602020
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
492020
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
482019
A new Bollinger Band based energy efficient routing for clustered wireless sensor network
A Thakkar, K Kotecha
Applied Soft Computing 32, 144-153, 2015
462015
Intrusion detection using deep neural network with antirectifier layer
R Lohiya, A Thakkar
Applied Soft Computing and Communication Networks: Proceedings of ACN 2020 …, 2021
362021
Pearson correlation coefficient-based performance enhancement of vanilla neural network for stock trend prediction
A Thakkar, D Patel, P Shah
Neural Computing and Applications 33, 16985-17000, 2021
332021
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