Ankit Thakkar, SMIEEE
Ankit Thakkar, SMIEEE
Associate Professor, Computer Science & Engineering, Institute of Technology, Nirma University
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Cited by
Cited by
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 of the Advancement in Intrusion Detection Datasets
A Thakkar, R Lohiya
Procedia Computer Science 167, 636–645, 2020
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
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
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
Survey on handwriting-based personality trait identification
K Chaudhari, A Thakkar
Expert Systems with Applications 124, 282-308, 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
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
Role of swarm and evolutionary algorithms for intrusion detection system: A survey
A Thakkar, R Lohiya
Swarm and Evolutionary Computation 53, 1-34, 2020
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
A Comprehensive Survey on Travel Recommender Systems
K Chaudhari, A Thakkar
Archives of Computational Methods in Engineering, 1-27, 2019
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
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
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
CVLEACH: Coverage based energy efficient LEACH Algorithm
A Thakkar, DK Kotecha
International Journal of Computer Science and Network (IJCSN)Volume 1, 2012
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
Travelling salesman problem: an empirical comparison between ACO, PSO, ABC, FA and GA
K Chaudhari, A Thakkar
Emerging Research in Computing, Information, Communication and Applications …, 2019
Alive nodes based improved low energy adaptive clustering hierarchy for wireless sensor network
A Thakkar, K Kotecha
Advanced Computing, Networking and Informatics-Volume 2, 51-58, 2014
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, 1-111, 2021
Intrusion detection using deep neural network with antirectifier layer
R Lohiya, A Thakkar
Applied Soft Computing and Communication Networks, 89-105, 2021
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