A new Bollinger Band based energy efficient routing for clustered wireless sensor network. - Ankit Thakkar; Ketan Kotecha (Appl. Soft Comput., 2015)

Survey on handwriting-based personality trait identification. - Kinjal Chaudhari; Ankit Thakkar (Expert Syst. Appl., 2019)

Predicting stock trend using an integrated term frequency-inverse document frequency-based feature weight matrix with neural networks. - Ankit Thakkar; Kinjal Chaudhari (Appl. Soft Comput., 2020)

VIKAS: a new virtual keyboard-based simple and efficient text CAPTCHA verification scheme. - Ankit Thakkar; Kajol Patel (Int. J. Inf. Comput. Secur., 2020)

Role of swarm and evolutionary algorithms for intrusion detection system: A survey. - Ankit Thakkar; Ritika Lohiya (Swarm Evol. Comput., 2020)

A survey on video-based Human Action Recognition: recent updates, datasets, challenges, and applications. - Preksha Pareek; Ankit Thakkar (Artif. Intell. Rev., 2021)

A comprehensive survey on deep neural networks for stock market: The need, challenges, and future directions. - Ankit Thakkar; Kinjal Chaudhari (Expert Syst. Appl., 2021)

Analyzing fusion of regularization techniques in the deep learning-based intrusion detection system. - Ankit Thakkar; Ritika Lohiya (Int. J. Intell. Syst., 2021)

Fusion in stock market prediction: A decade survey on the necessity, recent developments, and potential future directions. - Ankit Thakkar; Kinjal Chaudhari (Inf. Fusion, 2021)

Application Domains, Evaluation Data Sets, and Research Challenges of IoT: A Systematic Review. - Ritika Lohiya; Ankit Thakkar (IEEE Internet Things J., 2021)

Attack classification using feature selection techniques: a comparative study. - Ankit Thakkar; Ritika Lohiya (J. Ambient Intell. Humaniz. Comput., 2021)

Pearson Correlation Coefficient-based performance enhancement of Vanilla Neural Network for stock trend prediction. - Ankit Thakkar; Dhaval Patel; Preet Shah (Neural Comput. Appl., 2021)

A survey on intrusion detection system: feature selection, model, performance measures, application perspective, challenges, and future research directions. - Ankit Thakkar; Ritika Lohiya (Artif. Intell. Rev., 2022)

Information fusion-based genetic algorithm with long short-term memory for stock price and trend prediction. - Ankit Thakkar; Kinjal Chaudhari (Appl. Soft Comput., 2022)

Improving the Performance of Sentiment Analysis Using Enhanced Preprocessing Technique and Artificial Neural Network. - Ankit Thakkar; Dhara A. Mungra; Anjali Agrawal; Kinjal Chaudhari (IEEE Trans. Affect. Comput., 2022)

A Compendium on Risk Assessment of Phishing Attack Using Attack Modeling Techniques. - Ritika Lohiya; Ankit Thakkar (ICMLDE, 2023)

Sentiment Analysis of Self Driving Car Dataset: A comparative study of Deep Learning approaches. - Devshri Pandya; Ankit Thakkar (ICMLDE, 2023)

Fusion of statistical importance for feature selection in Deep Neural Network-based Intrusion Detection System. - Ankit Thakkar; Ritika Lohiya (Inf. Fusion, 2023)

RGB-D based human action recognition using evolutionary self-adaptive extreme learning machine with knowledge-based control parameters. - Preksha Pareek; Ankit Thakkar (J. Ambient Intell. Humaniz. Comput., 2023)

Data fusion with factored quantization for stock trend prediction using neural networks. - Kinjal Chaudhari; Ankit Thakkar (Inf. Process. Manag., 2023)

Neural network systems with an integrated coefficient of variation-based feature selection for stock price and trend prediction. - Kinjal Chaudhari; Ankit Thakkar (Expert Syst. Appl., 2023)

Attack Classification of Imbalanced Intrusion Data for IoT Network Using Ensemble-Learning-Based Deep Neural Network. - Ankit Thakkar; Ritika Lohiya (IEEE Internet Things J., 2023)

Fusion of linear and non-linear dimensionality reduction techniques for feature reduction in LSTM-based Intrusion Detection System. - Ankit Thakkar; Nandish Kikani; Rebekah Geddam (Appl. Soft Comput., 2024)

Applicability of genetic algorithms for stock market prediction: A systematic survey of the last decade. - Ankit Thakkar; Kinjal Chaudhari (Comput. Sci. Rev., 2024)

An improved method for classifying depth-based human actions using self-adaptive evolutionary technique. - Preksha Pareek; Ankit Thakkar (J. Ambient Intell. Humaniz. Comput., 2024)

DeepFusionSent: A novel feature fusion approach for deep learning-enhanced sentiment classification. - Ankit Thakkar; Devshri Pandya (Inf. Fusion, 2025)