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Ankit Thakkar

Nirma University

28H-index
60Paper Count
3.8KCitation Count
Published Papers 27
Publication Date
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PANS: A novel polarity-adjusted noise scaling approach for privacy-preserving sentiment analysis in federated learning
errKnowledge-Based Systems
IF7.6
err2026-01-16
err0
PREAI
errDevshri Pandya; Ankit Thakkar
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errSave
A survey of machine learning and deep learning methods for vibration-based Bearing fault diagnosis: The need, challenges, and potential future research directions
errNeurocomputing
IF6.5
err2025-09-23
err0
PREAI
errRohan Puntambekar; Pratyaksh Vyas; Ankit Thakkar; Dhaval Patel
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DeepFusionSent: A novel feature fusion approach for deep learning-enhanced sentiment classification
errINFORMATION FUSION
IF15.5
err2025-06-01
err0
PREAI
errThakkar, Ankit; Pandya, Devshri
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errSave
Applicability of genetic algorithms for stock market prediction: A systematic survey of the last decade
errCOMPUTER SCIENCE REVIEW
IF12.7
err2024-08-01
err1
PREAI
errThakkar, Ankit; Chaudhari, Kinjal
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errSave
Fusion of linear and non-linear dimensionality reduction techniques for feature reduction in LSTM-based Intrusion Detection System
errAPPLIED SOFT COMPUTING
IF6.6
err2024-03-01
err9
PREAI
errThakkar, Ankit; Kikani, Nandish; Geddam, Rebakah
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errSave
Attack Classification of Imbalanced Intrusion Data for IoT Network Using Ensemble-Learning-Based Deep Neural Network
errIEEE INTERNET OF THINGS JOURNAL
IF8.9
err2023-07-01
err59
PREAI
errThakkar, Ankit; Lohiya, Ritika
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errSave
Neural network systems with an integrated coefficient of variation-based feature selection for stock price and trend prediction
errEXPERT SYSTEMS WITH APPLICATIONS
IF7.5
err2023-06-01
err30
PREAI
errChaudhari, Kinjal; Thakkar, Ankit
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errSave
A Review on Challenges and Future Research Directions for Machine Learning-Based Intrusion Detection System
errARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
IF12.1
err2023-05-18
err13
PREAI
errThakkar, Ankit; Lohiya, Ritika
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errSave
Data fusion with factored quantization for stock trend prediction using neural networks
errINFORMATION PROCESSING & MANAGEMENT
IF6.9
err2023-05-01
err9
PREAI
errChaudhari, Kinjal; Thakkar, Ankit
errShare
errSave
Fusion of statistical importance for feature selection in Deep Neural Network-based Intrusion Detection System
errINFORMATION FUSION
IF15.5
err2023-02-01
err102
PREAI
errThakkar, Ankit; Lohiya, Ritika
errShare
errSave
Improving the Performance of Sentiment Analysis Using Enhanced Preprocessing Technique and Artificial Neural Network
errIEEE TRANSACTIONS ON AFFECTIVE COMPUTING
IF9.8
err2022-10-01
err10
PREAI
errThakkar, Ankit; Mungra, Dhara; Agrawal, Anjali; Chaudhari, Kinjal
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errSave
Information fusion-based genetic algorithm with long short-term memory for stock price and trend prediction
errAPPLIED SOFT COMPUTING
IF6.6
err2022-10-01
err24
PREAI
errThakkar, Ankit; Chaudhari, Kinjal
errShare
errSave
A comprehensive survey on deep neural networks for stock market: The need, challenges, and future directions
errEXPERT SYSTEMS WITH APPLICATIONS
IF7.5
err2021-09-01
err103
PREAI
errThakkar, Ankit; Chaudhari, Kinjal
errShare
errSave
Analyzing fusion of regularization techniques in the deep learning-based intrusion detection system
errINTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
IF3.7
err2021-08-04
err22
errOAAI
errThakkar, Ankit; Lohiya, Ritika
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errSave
A survey on intrusion detection system: feature selection, model, performance measures, application perspective, challenges, and future research directions
errARTIFICIAL INTELLIGENCE REVIEW
IF13.9
err2021-07-01
err104
PREAI
errThakkar, Ankit; Lohiya, Ritika
errShare
errSave
Application Domains, Evaluation Data Sets, and Research Challenges of IoT: A Systematic Review
errIEEE INTERNET OF THINGS JOURNAL
IF8.9
err2021-06-01
err54
PREAI
errLohiya, Ritika; Thakkar, Ankit
errShare
errSave
Fusion in stock market prediction: A decade survey on the necessity, recent developments, and potential future directions
errINFORMATION FUSION
IF15.5
err2021-01-01
err112
errOAAI
errThakkar, Ankit; Chaudhari, Kinjal
errShare
errSave
Predicting stock trend using an integrated term frequency-inverse document frequency-based feature weight matrix with neural networks
errAPPLIED SOFT COMPUTING
IF6.6
err2020-11-01
err43
PREAI
errThakkar, Ankit; Chaudhari, Kinjal
errShare
errSave
A Review on Machine Learning and Deep Learning Perspectives of IDS for IoT: Recent Updates, Security Issues, and Challenges
errARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
IF12.1
err2020-10-20
err149
PREAI
errThakkar, Ankit; Lohiya, Ritika
errShare
errSave
A survey on video-based Human Action Recognition: recent updates, datasets, challenges, and applications
errARTIFICIAL INTELLIGENCE REVIEW
IF13.9
err2020-09-25
err192
PREAI
errPareek, Preksha; Thakkar, Ankit
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errSave

Research Directions

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Co-authors
Cooperation Journals
K
Ketan Kotecha
H-index: 60 · Papers: 603
A
Anjali Agrawal
H-index: 16 · Papers: 59
K
Kinjal Chaudhari
H-index: 14 · Papers: 19
R
Ritika Lohiya
H-index: 13 · Papers: 19
D
Dhara Mungra
H-index: 6 · Papers: 14
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