Baijnath Kaushik

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 20

Top Topics

Learning Models

Security Issues

Authentication Protocol

Top Venues

Int. J. Adv. Intell. Paradigms

New Gener. Comput.

Publications

Abhigya Mahajan, Baijnath Kaushik, Mohammad Khalid Imam Rahmani, Abdulbasid Banga
A Hybrid Feature Selection and Ensemble Stacked Learning Models on Multi-Variant CVD Datasets for Effective Classification. IEEE Access 12 (2024)
Baijnath Kaushik, Akshita Sharma, Akshma Chadha, Reya Sharma
Machine Learning Model for Sentiment Analysis on Mental Health Issues. ICCAE (2023)
Baijnath Kaushik, Akshma Chadha, Reya Sharma
Performance Evaluation of Learning Models for the Prognosis of COVID-19. New Gener. Comput. 41 (3) (2023)
Baijnath Kaushik, Reya Sharma, Kulwant Dhama, Akshma Chadha, Surbhi Sharma
Performance evaluation of learning models for intrusion detection system using feature selection. J. Comput. Virol. Hacking Tech. 19 (4) (2023)
Sanjeev Kumar, Haider Banka, Baijnath Kaushik
Ultra-lightweight blockchain-enabled RFID authentication protocol for supply chain in the domain of 5G mobile edge computing. Wirel. Networks 29 (5) (2023)
Davinder Paul Singh, Baijnath Kaushik
CTDN (Convolutional Temporal Based Deep- Neural Network): An Improvised Stacked Hybrid Computational Approach for Anticancer Drug Response Prediction. Comput. Biol. Chem. 105 (2023)
Akshita Sharma, Baijnath Kaushik, Akshma Chadha, Reya Sharma
Comparative evaluation of deep dense sequential and deep dense transfer learning models for suicidal emotion prediction. Concurr. Comput. Pract. Exp. 35 (22) (2023)
Akshma Chadha, Baijnath Kaushik
Performance Evaluation of Learning Models for Identification of Suicidal Thoughts. Comput. J. 65 (1) (2022)
Yusera Farooq Khan, Baijnath Kaushik, Bilal Ahmed Mir
Computational Intelligent Models for Alzheimer's Prediction Using Audio Transcript Data. Comput. Informatics 41 (6) (2022)
Sanjeev Kumar, Rajesh Kumar Maurya, Sanjay Kumar Yadav, Baijnath Kaushik
A comparative study and implementation of neuro-fuzzy and decision tree for malignant tumour detection system. Int. J. Adv. Intell. Paradigms 23 (3/4) (2022)
Yusera Farooq Khan, Baijnath Kaushik, Mohammad Khalid Imam Rahmani, Md. Ezaz Ahmed
Stacked Deep Dense Neural Network Model to Predict Alzheimer's Dementia Using Audio Transcript Data. IEEE Access 10 (2022)
Akshma Chadha, Baijnath Kaushik
A Hybrid Deep Learning Model Using Grid Search and Cross-Validation for Effective Classification and Prediction of Suicidal Ideation from Social Network Data. New Gener. Comput. 40 (4) (2022)
Yusera Farooq Khan, Baijnath Kaushik, Mohammad Khalid Imam Rahmani, Md. Ezaz Ahmed
HSI-LFS-BERT: Novel Hybrid Swarm Intelligence Based Linguistics Feature Selection and Computational Intelligent Model for Alzheimer's Prediction Using Audio Transcript. IEEE Access 10 (2022)
Surbhi Sharma, Baijnath Kaushik, Mohammad Khalid Imam Rahmani, Md. Ezaz Ahmed
Cryptographic Solution-Based Secure Elliptic Curve Cryptography Enabled Radio Frequency Identification Mutual Authentication Protocol for Internet of Vehicles. IEEE Access 9 (2021)
Surbhi Sharma, Baijnath Kaushik
A survey on nature-inspired algorithms and its applications in the Internet of Vehicles. Int. J. Commun. Syst. 34 (12) (2021)
Sanjeev Kumar, Haider Banka, Baijnath Kaushik, Surbhi Sharma
A review and analysis of secure and lightweight ECC-based RFID authentication protocol for Internet of Vehicles. Trans. Emerg. Telecommun. Technol. 32 (11) (2021)
Surbhi Sharma, Baijnath Kaushik
Corrigendum to "A survey on internet of vehicles: Applications, security issues & solutions" [Veh. Commun. 20 (2019) 100182]. Veh. Commun. 27 (2021)
Akshma Chadha, Baijnath Kaushik
A Survey on Prediction of Suicidal Ideation Using Machine and Ensemble Learning. Comput. J. 64 (11) (2021)
Reya Sharma, Baijnath Kaushik
Offline recognition of handwritten Indic scripts: A state-of-the-art survey and future perspectives. Comput. Sci. Rev. 38 (2020)
Surbhi Sharma, Baijnath Kaushik
A survey on internet of vehicles: Applications, security issues & solutions. Veh. Commun. 20 (2019)
Baijnath Kaushik, Haider Banka
Performance evaluation of approximated artificial neural network (AANN) algorithm for reliability improvement. Appl. Soft Comput. 26 (2015)
Baijnath Kaushik, Navdeep Kaur, Amit Kumar Kohli
Improved neural approach in maximising reliability for increasing networks. Int. J. Comput. Sci. Eng. 11 (2) (2015)
Baijnath Kaushik, Haider Banka
Approach for improving reliability in optimal network design. Int. J. Adv. Intell. Paradigms 6 (3) (2014)
Baijnath Kaushik, Navdeep Kaur, Amit Kumar Kohli
Achieving maximum reliability in fault tolerant network design for variable networks. Appl. Soft Comput. 13 (7) (2013)
Baijnath Kaushik, Navdeep Kaur, Amit Kumar Kohli
Improved Approach for Maximizing Reliability in Fault Tolerant Networks. J. Adv. Comput. Intell. Intell. Informatics 17 (1) (2013)