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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)
其他姓名Ankit Thakkar
Professor (Full), CSE Department, Institute of Technology, Nirma University
在 nirmauni.ac.in 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
2782021
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
2452021
A Review of the Advancement in Intrusion Detection Datasets
A Thakkar, R Lohiya
Procedia Computer Science 167, 636–645, 2020
2172020
Cluster Head Election for Energy and Delay Constraint Applications of Wireless Sensor Network
A Thakkar, K Kotecha
IEEE Sensors Journal 14 (8), 2014
1892014
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
1682021
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
1662022
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
1662021
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
1262021
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
1032021
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
1002023
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
822020
Survey on handwriting-based personality trait identification
K Chaudhari, A Thakkar
Expert Systems with Applications 124, 282-308, 2019
802019
Role of swarm and evolutionary algorithms for intrusion detection system: A survey
A Thakkar, R Lohiya
Swarm and Evolutionary Computation 53, 1-34, 2020
792020
A Comprehensive Survey on Travel Recommender Systems
K Chaudhari, A Thakkar
Archives of Computational Methods in Engineering, 1-27, 2019
722019
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
632020
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
532020
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
502019
A new Bollinger Band based energy efficient routing for clustered wireless sensor network
A Thakkar, K Kotecha
Applied Soft Computing 32, 144-153, 2015
472015
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, 2023
432023
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
372021
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