TMAC - Token based MAC protocol for cognitive radio wireless mesh network. - Ramesh Babu Battula; Dinesh Gopalani; Manoj Singh Gaur; Jagadeesh Kakarla (ICTC, 2014)

ATMAC: adaptive token-based medium access control protocol for cognitive radio wireless mesh network. - Ramesh Babu Battula; Manoj Singh Gaur; Dinesh Gopalani (Int. J. Commun. Syst., 2016)

Concept-Based Approach for Research Paper Recommendation. - Ritu Sharma; Dinesh Gopalani; Yogesh Kumar Meena (PReMI, 2017)

Opposition-Based Sine Cosine Algorithm (OSCA) for Training Feed-Forward Neural Networks. - Divya Bairathi; Dinesh Gopalani (SITIS, 2017)

Salp Swarm Algorithm (SSA) for Training Feed-Forward Neural Networks. - Divya Bairathi; Dinesh Gopalani (SocProS (1), 2017)

Path and Link Aware Routing Algorithm for Cognitive Radio Wireless Mesh Network. - Ramesh Babu Battula; Dinesh Gopalani; Manoj Singh Gaur (Wirel. Pers. Commun., 2017)

Opposition Based Salp Swarm Algorithm for Numerical Optimization. - Divya Bairathi; Dinesh Gopalani (ISDA (2), 2018)

A Novel Swarm Intelligence Based Optimization Method: Harris' Hawk Optimization. - Divya Bairathi; Dinesh Gopalani (ISDA (2), 2018)

An Improved Opposition Based Grasshopper Optimisation Algorithm for Numerical Optimization. - Divya Bairathi; Dinesh Gopalani (ISDA (2), 2018)

An adaptive threshold energy detection mechanism using GNU Radio on USRP. - Avinash Reddy Avuthu; Ramesh Babu Battula; Dinesh Gopalani; Chaithanya Kurra (COMSNETS, 2019)

Aspect-Oriented Approach for Testing Software Applications and Automatic Aspect Creation. - Manish Jain; Dinesh Gopalani (Int. J. Softw. Eng. Knowl. Eng., 2019)

A two-step hybrid unsupervised model with attention mechanism for aspect extraction. - Ganpat Singh Chauhan; Yogesh Kumar Meena; Dinesh Gopalani; Ravi Nahta (Expert Syst. Appl., 2020)

DISCERN: Enhanced Dynamic noISe varianCe based EneRgy sensing for cognitive radio using USRP at Wi-Fi bands. - Avinash Reddy Avuthu; Ramesh Babu Battula; Dinesh Gopalani; Chaithanya Kurra (Int. J. Commun. Syst., 2020)

Location based detection mechanism for PUEA on CR enabled 5G-IoT network. - Avinash Reddy Avuthu; Ramesh Babu Battula; Dinesh Gopalani; Arunima Sharma (ANTS, 2021)

A hybrid neural variational CF-NADE for collaborative filtering using abstraction and generation. - Ravi Nahta; Yogesh Kumar Meena; Dinesh Gopalani; Ganpat Singh Chauhan (Expert Syst. Appl., 2021)

Numerical optimization and feed-forward neural networks training using an improved optimization algorithm: multiple leader salp swarm algorithm. - Divya Bairathi; Dinesh Gopalani (Evol. Intell., 2021)

Two-step hybrid collaborative filtering using deep variational Bayesian autoencoders. - Ravi Nahta; Yogesh Kumar Meena; Dinesh Gopalani; Ganpat Singh Chauhan (Inf. Sci., 2021)

Embedding metadata using deep collaborative filtering to address the cold start problem for the rating prediction task. - Ravi Nahta; Yogesh Kumar Meena; Dinesh Gopalani; Ganpat Singh Chauhan (Multim. Tools Appl., 2021)

An improved salp swarm algorithm for complex multi-modal problems. - Divya Bairathi; Dinesh Gopalani (Soft Comput., 2021)

A mixed unsupervised method for aspect extraction using BERT. - Ganpat Singh Chauhan; Yogesh Kumar Meena; Dinesh Gopalani; Ravi Nahta (Multim. Tools Appl., 2022)

An efficient spectrum sensing over η - μ fading on sub 6 GHz bands: A real-time implementation on USRP RIO. - Avinash Reddy Avuthu; Ramesh Babu Battula; Dinesh Gopalani (Wirel. Networks, 2022)

Classification of Events Tweets Using Machine Learning. - Tarun Jain; Dinesh Gopalani; Yogesh Kumar Meena (OCIT, 2023)

An anatomization of research paper recommender system: Overview, approaches and challenges. - Ritu Sharma; Dinesh Gopalani; Yogesh Kumar Meena (Eng. Appl. Artif. Intell., 2023)

Aspect based sentiment analysis using deep learning approaches: A survey. - Ganpat Singh Chauhan; Ravi Nahta; Yogesh Kumar Meena; Dinesh Gopalani (Comput. Sci. Rev., 2023)

Deep learning with the generative models for recommender systems: A survey. - Ravi Nahta; Ganpat Singh Chauhan; Yogesh Kumar Meena; Dinesh Gopalani (Comput. Sci. Rev., 2024)

ConFake: fake news identification using content based features. - Mayank Kumar Jain; Dinesh Gopalani; Yogesh Kumar Meena (Multim. Tools Appl., 2024)

Performance analysis of ML models on 5G sub-6 GHz bands: An experimental study. - Avuthu Avinash Reddy; Ramesh Babu Battula; Dinesh Gopalani (Clust. Comput., 2024)

CF-MGAN: Collaborative filtering with metadata-aware generative adversarial networks for top-N recommendation. - Ravi Nahta; Ganpat Singh Chauhan; Yogesh Kumar Meena; Dinesh Gopalani (Inf. Sci., 2025)

A novel dominating set and centrality based graph convolutional network for node classification. - Neeraj Garg; Sneha Garg; Mahipal Jadeja; Yogesh Kumar Meena; Dinesh Gopalani; Ganpat Singh Chauhan (Multim. Tools Appl., 2025)

Hybrid CNN-BiLSTM model with HHO feature selection for enhanced fake news detection. - Mayank Kumar Jain; Dinesh Gopalani; Yogesh Kumar Meena (Soc. Netw. Anal. Min., 2025)