Baijnath Kaushik

According to our database, Baijnath Kaushik authored at least 25 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

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., November, 2023

Performance Evaluation of Learning Models for the Prognosis of COVID-19.

Baijnath Kaushik, Akshma Chadha, Reya Sharma

New Gener. Comput., September, 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., August, 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, July, 2023

Prognosis and Prediction of Breast Cancer Using Machine Learning and Ensemble-Based Training Model.

Niharika Gupta, Baij Nath Kaushik

Comput. J., January, 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

Machine Learning Model for Sentiment Analysis on Mental Health Issues.

Baijnath Kaushik, Akshita Sharma, Akshma Chadha, Reya Sharma

Proceedings of the 15th International Conference on Computer and Automation Engineering, 2023

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

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

Performance Evaluation of Learning Models for Identification of Suicidal Thoughts.

Akshma Chadha, Baijnath Kaushik

Comput. J., 2022

Computational Intelligent Models for Alzheimer's Prediction Using Audio Transcript Data.

Yusera Farooq Khan, Baijnath Kaushik, Bilal Ahmed Mir

Comput. Informatics, 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

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

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

A survey on nature-inspired algorithms and its applications in the Internet of Vehicles.

Surbhi Sharma, Baijnath Kaushik

Int. J. Commun. Syst., 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 Prediction of Suicidal Ideation Using Machine and Ensemble Learning.

Akshma Chadha, Baijnath Kaushik

Comput. J., 2021

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

2020

Offline recognition of handwritten Indic scripts: A state-of-the-art survey and future perspectives.

Reya Sharma, Baijnath Kaushik

Comput. Sci. Rev., 2020

2019

A survey on internet of vehicles: Applications, security issues & solutions.

Surbhi Sharma, Baijnath Kaushik

Veh. Commun., 2019

2015

Improved neural approach in maximising reliability for increasing networks.

Baijnath Kaushik, Navdeep Kaur, Amit Kumar Kohli

Int. J. Comput. Sci. Eng., 2015

Performance evaluation of approximated artificial neural network (AANN) algorithm for reliability improvement.

Baijnath Kaushik, Haider Banka

Appl. Soft Comput., 2015

2014

Approach for improving reliability in optimal network design.

Baijnath Kaushik, Haider Banka

Int. J. Adv. Intell. Paradigms, 2014

2013

Improved Approach for Maximizing Reliability in Fault Tolerant Networks.

Baijnath Kaushik, Navdeep Kaur, Amit Kumar Kohli

J. Adv. Comput. Intell. Intell. Informatics, 2013

Achieving maximum reliability in fault tolerant network design for variable networks.

Baijnath Kaushik, Navdeep Kaur, Amit Kumar Kohli

Appl. Soft Comput., 2013