Achieving maximum reliability in fault tolerant network design for variable networks. - Baijnath Kaushik; Navdeep Kaur; Amit Kumar Kohli (Appl. Soft Comput., 2013)

Improved Approach for Maximizing Reliability in Fault Tolerant Networks. - Baijnath Kaushik; Navdeep Kaur; Amit Kumar Kohli (J. Adv. Comput. Intell. Intell. Informatics, 2013)

Approach for improving reliability in optimal network design. - Baijnath Kaushik; Haider Banka (Int. J. Adv. Intell. Paradigms, 2014)

Performance evaluation of approximated artificial neural network (AANN) algorithm for reliability improvement. - Baijnath Kaushik; Haider Banka (Appl. Soft Comput., 2015)

Improved neural approach in maximising reliability for increasing networks. - Baijnath Kaushik; Navdeep Kaur; Amit Kumar Kohli (Int. J. Comput. Sci. Eng., 2015)

A survey on internet of vehicles: Applications, security issues & solutions. - Surbhi Sharma; Baijnath Kaushik (Veh. Commun., 2019)

Offline recognition of handwritten Indic scripts: A state-of-the-art survey and future perspectives. - Reya Sharma; Baijnath Kaushik (Comput. Sci. Rev., 2020)

Cryptographic Solution-Based Secure Elliptic Curve Cryptography Enabled Radio Frequency Identification Mutual Authentication Protocol for Internet of Vehicles. - Surbhi Sharma; Baijnath Kaushik; Mohammad Khalid Imam Rahmani; Md. Ezaz Ahmed (IEEE Access, 2021)

A Survey on Prediction of Suicidal Ideation Using Machine and Ensemble Learning. - Akshma Chadha; Baijnath Kaushik (Comput. J., 2021)

A review and analysis of secure and lightweight ECC-based RFID authentication protocol for Internet of Vehicles. - Sanjeev Kumar; Haider Banka; Baijnath Kaushik; Surbhi Sharma (Trans. Emerg. Telecommun. Technol., 2021)

A survey on nature-inspired algorithms and its applications in the Internet of Vehicles. - Surbhi Sharma; Baijnath Kaushik (Int. J. Commun. Syst., 2021)

Corrigendum to "A survey on internet of vehicles: Applications, security issues & solutions" [Veh. Commun. 20 (2019) 100182]. - Surbhi Sharma; Baijnath Kaushik (Veh. Commun., 2021)

Stacked Deep Dense Neural Network Model to Predict Alzheimer's Dementia Using Audio Transcript Data. - Yusera Farooq Khan; Baijnath Kaushik; Mohammad Khalid Imam Rahmani; Md. Ezaz Ahmed (IEEE Access, 2022)

HSI-LFS-BERT: Novel Hybrid Swarm Intelligence Based Linguistics Feature Selection and Computational Intelligent Model for Alzheimer's Prediction Using Audio Transcript. - Yusera Farooq Khan; Baijnath Kaushik; Mohammad Khalid Imam Rahmani; Md. Ezaz Ahmed (IEEE Access, 2022)

Computational Intelligent Models for Alzheimer's Prediction Using Audio Transcript Data. - Yusera Farooq Khan; Baijnath Kaushik; Bilal Ahmed Mir (Comput. Informatics, 2022)

Performance Evaluation of Learning Models for Identification of Suicidal Thoughts. - Akshma Chadha; Baijnath Kaushik (Comput. J., 2022)

A comparative study and implementation of neuro-fuzzy and decision tree for malignant tumour detection system. - Sanjeev Kumar; Rajesh Kumar Maurya; Sanjay Kumar Yadav; Baijnath Kaushik (Int. J. Adv. Intell. Paradigms, 2022)

A Hybrid Deep Learning Model Using Grid Search and Cross-Validation for Effective Classification and Prediction of Suicidal Ideation from Social Network Data. - Akshma Chadha; Baijnath Kaushik (New Gener. Comput., 2022)

Machine Learning Model for Sentiment Analysis on Mental Health Issues. - Baijnath Kaushik; Akshita Sharma; Akshma Chadha; Reya Sharma (ICCAE, 2023)

Comparative evaluation of deep dense sequential and deep dense transfer learning models for suicidal emotion prediction. - Akshita Sharma; Baijnath Kaushik; Akshma Chadha; Reya Sharma (Concurr. Comput. Pract. Exp., 2023)

Prognosis and Prediction of Breast Cancer Using Machine Learning and Ensemble-Based Training Model. - Niharika Gupta; Baij Nath Kaushik (Comput. J., 2023)

Ultra-lightweight blockchain-enabled RFID authentication protocol for supply chain in the domain of 5G mobile edge computing. - Sanjeev Kumar; Haider Banka; Baijnath Kaushik (Wirel. Networks, 2023)

CTDN (Convolutional Temporal Based Deep- Neural Network): An Improvised Stacked Hybrid Computational Approach for Anticancer Drug Response Prediction. - Davinder Paul Singh; Baijnath Kaushik (Comput. Biol. Chem., 2023)

Performance Evaluation of Learning Models for the Prognosis of COVID-19. - Baijnath Kaushik; Akshma Chadha; Reya Sharma (New Gener. Comput., 2023)

Performance evaluation of learning models for intrusion detection system using feature selection. - Baijnath Kaushik; Reya Sharma; Kulwant Dhama; Akshma Chadha; Surbhi Sharma (J. Comput. Virol. Hacking Tech., 2023)

A Hybrid Feature Selection and Ensemble Stacked Learning Models on Multi-Variant CVD Datasets for Effective Classification. - Abhigya Mahajan; Baijnath Kaushik; Mohammad Khalid Imam Rahmani; Abdulbasid Banga (IEEE Access, 2024)

An Ultra-Lightweight Secure RFID Authentication Protocol for Low-Cost Tags. - Sanjeev Kumar; Haider Banka; Baijnath Kaushik; Surbhi Sharma (J. Comput. Virol. Hacking Tech., 2024)

Lightweight group authentication protocol for secure RFID system. - Sanjeev Kumar; Haider Banka; Baijnath Kaushik (Multim. Tools Appl., 2024)

A three layer stacked multimodel transfer learning approach for deep feature extraction from Chest Radiographic images for the classification of COVID-19. - Baijnath Kaushik; Akshma Chadha; Abhigya Mahajan; Malvika Ashok (Eng. Appl. Artif. Intell., 2025)