| 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 | 369 | 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 | 332 | 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 | 258 | 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 | 94 | 2019 |
| Survey on handwriting-based personality trait identification K Chaudhari, A Thakkar Expert Systems with Applications 124, 282-308, 2019 | 88 | 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 | 87 | 2023 |
| 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 |
Kinjal ChaudhariAssistant Professor, Adani UniversityZweryfikowany adres z nirmauni.ac.in
