Ankit Thakkar
Orcid: 0000-0001-8328-6101
According to our database1,
Ankit Thakkar
authored at least 21 papers
between 2015 and 2024.
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Bibliography
2024
An improved method for classifying depth-based human actions using self-adaptive evolutionary technique.
J. Ambient Intell. Humaniz. Comput., January, 2024
2023
Attack Classification of Imbalanced Intrusion Data for IoT Network Using Ensemble-Learning-Based Deep Neural Network.
IEEE Internet Things J., July, 2023
Neural network systems with an integrated coefficient of variation-based feature selection for stock price and trend prediction.
Expert Syst. Appl., June, 2023
Data fusion with factored quantization for stock trend prediction using neural networks.
Inf. Process. Manag., May, 2023
RGB-D based human action recognition using evolutionary self-adaptive extreme learning machine with knowledge-based control parameters.
J. Ambient Intell. Humaniz. Comput., February, 2023
Fusion of statistical importance for feature selection in Deep Neural Network-based Intrusion Detection System.
Inf. Fusion, 2023
2022
Improving the Performance of Sentiment Analysis Using Enhanced Preprocessing Technique and Artificial Neural Network.
IEEE Trans. Affect. Comput., 2022
Information fusion-based genetic algorithm with long short-term memory for stock price and trend prediction.
Appl. Soft Comput., 2022
A survey on intrusion detection system: feature selection, model, performance measures, application perspective, challenges, and future research directions.
Artif. Intell. Rev., 2022
2021
Pearson Correlation Coefficient-based performance enhancement of Vanilla Neural Network for stock trend prediction.
Neural Comput. Appl., 2021
J. Ambient Intell. Humaniz. Comput., 2021
Application Domains, Evaluation Data Sets, and Research Challenges of IoT: A Systematic Review.
IEEE Internet Things J., 2021
Fusion in stock market prediction: A decade survey on the necessity, recent developments, and potential future directions.
Inf. Fusion, 2021
Analyzing fusion of regularization techniques in the deep learning-based intrusion detection system.
Int. J. Intell. Syst., 2021
A comprehensive survey on deep neural networks for stock market: The need, challenges, and future directions.
Expert Syst. Appl., 2021
A survey on video-based Human Action Recognition: recent updates, datasets, challenges, and applications.
Artif. Intell. Rev., 2021
2020
Swarm Evol. Comput., 2020
VIKAS: a new virtual keyboard-based simple and efficient text CAPTCHA verification scheme.
Int. J. Inf. Comput. Secur., 2020
Predicting stock trend using an integrated term frequency-inverse document frequency-based feature weight matrix with neural networks.
Appl. Soft Comput., 2020
2019
Expert Syst. Appl., 2019
2015
A new Bollinger Band based energy efficient routing for clustered wireless sensor network.
Appl. Soft Comput., 2015