BAIJ NATH KAUSHIK

@smvdu.ac.in

Associate Professor School of CSE
Shri Mata vaishno Devi University

BAIJ NATH KAUSHIK


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https://researchid.co/baijnath2574

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Science, Information Systems and Management, Multidisciplinary, Artificial Intelligence
72

Scopus Publications

1668

Scholar Citations

19

Scholar h-index

44

Scholar i10-index

Scopus Publications

RECENT SCHOLAR PUBLICATIONS

  • A novel computational intelligence model using improvised feature selection for Parkinson’s disease classification
    B Kaushik, R Sharma, YF Khan, A Chadha, Niharika
    Multimedia Tools and Applications 84 (36), 44997-45016 , 2025
    2025
  • A three layer stacked multimodel transfer learning approach for deep feature extraction from Chest Radiographic images for the classification of COVID-19
    B Kaushik, A Chadha, A Mahajan, M Ashok
    Engineering Applications of Artificial Intelligence 147, 110241 , 2025
    2025
    Citations: 8
  • A fine-tuned adaptive weight deep dense meta stacked transfer learning model for effective cervical cancer prediction
    B Kaushik, A Mahajan, A Chadha, YF Khan, S Sharma
    Physica Scripta 100 (3), 036002 , 2025
    2025
    Citations: 4
  • Handwritten north Indian script recognition using machine learning: a survey
    R Sharma, B Kaushik, NK Gondhi
    International Journal of Advanced Intelligence Paradigms 30 (5), 379-395 , 2025
    2025
  • Lightweight group authentication protocol for secure RFID system
    S Kumar, H Banka, B Kaushik
    Multimedia Tools and Applications 83 (41), 89249-89277 , 2024
    2024
    Citations: 5
  • An ultra-lightweight secure rfid authentication protocol for low-cost tags
    S Kumar, H Banka, B Kaushik, S Sharma
    Journal of Computer Virology and Hacking Techniques 20 (4), 803-818 , 2024
    2024
    Citations: 7
  • A hybrid feature selection and ensemble stacked learning models on multi-variant CVD datasets for effective classification
    A Mahajan, B Kaushik, MKI Rahmani, AS Banga
    IEEE Access 12, 87023-87038 , 2024
    2024
    Citations: 16
  • An Ensemble Approach for Multiclass
    N Gupta, B Kaushik, A Chadha, YF Khan
    Proceedings of the Second International Conference on Computing … , 2024
    2024
  • Machine Learning Techniques Using Deep Instinctive Encoder-Based Feature Extraction for Optimized Breast Cancer Detection.
    V Priyadarshni, SK Sharma, MKI Rahmani, B Kaushik, R Almajalid
    Computers, Materials & Continua 78 (2), 2242 , 2024
    2024
    Citations: 9
  • FeaTrim-ViT: Vision Transformer Trimming with One Shot Neural Architecture Search in Continuous Optimisation Space and Efficient Feature Selection
    S Sharma, B Kaushik
    International Conference on Cognitive Computing and Cyber Physical Systems … , 2023
    2023
  • Emerging Trends of Artificial Intelligence in Detecting Neurodegeneration
    DP Singh, B Kaushik, YF Khan, A Chadha, A Mahajan, A Jandwani, ...
    International Conference on Cognitive Computing and Cyber Physical Systems … , 2023
    2023
    Citations: 3
  • Performance evaluation of learning models for intrusion detection system using feature selection
    B Kaushik, R Sharma, K Dhama, A Chadha, S Sharma
    Journal of Computer Virology and Hacking Techniques 19 (4), 529-548 , 2023
    2023
    Citations: 48
  • Performance evaluation of learning models for the prognosis of COVID-19
    B Kaushik, A Chadha, R Sharma
    New Generation Computing 41 (3), 533-551 , 2023
    2023
    Citations: 17
  • A review of machine learning algorithms and feature selection techniques for cardiovascular disease prediction: Insights and implications
    A Mahajan, B Kaushik
    2023 7th International Conference On Computing, Communication, Control And … , 2023
    2023
    Citations: 6
  • A data preprocessing and stacking ensemble learning model for improved CHD prediction
    A Mahajan, B Kaushik
    International Conference on Mathematical Modelling, Applied Analysis and … , 2023
    2023
    Citations: 2
  • CTDN (convolutional temporal based deep‐neural network): an improvised stacked hybrid computational approach for anticancer drug response prediction
    DP Singh, B Kaushik
    Computational Biology and Chemistry 105, 107868 , 2023
    2023
    Citations: 18
  • Ultra-lightweight blockchain-enabled RFID authentication protocol for supply chain in the domain of 5G mobile edge computing
    S Kumar, H Banka, B Kaushik
    Wireless Networks 29 (5), 2105-2126 , 2023
    2023
    Citations: 38
  • Takri touching text segmentation using statistical approach
    S Magotra, B Kaushik, A Kaul
    Sādhanā 48 (3), 104 , 2023
    2023
    Citations: 4
  • Performance Evaluation of Deep Dense Layer Neural Network for Diabetes Prediction
    SAL Niharika Gupta1 , Baijnath Kaushik1 , Mohammad Khalid Imam Rahmani2
    Computers, Materials & Continua 76 (1), 347-366 , 2023
    2023
    Citations: 12
  • Machine learning models for alzheimer’s disease detection using medical images
    YF Khan, B Kaushik, D Koundal
    Data analysis for neurodegenerative disorders, 165-182 , 2023
    2023
    Citations: 3

MOST CITED SCHOLAR PUBLICATIONS

  • A survey on internet of vehicles: Applications, security issues & solutions
    S Sharma, B Kaushik
    Vehicular Communications 20, 100182 , 2019
    2019
    Citations: 506
  • Ensemble model for diagnostic classification of Alzheimer’s disease based on brain anatomical magnetic resonance imaging
    YF Khan, B Kaushik, CL Chowdhary, G Srivastava
    Diagnostics 12 (12), 3193 , 2022
    2022
    Citations: 66
  • A hybrid deep learning model using grid search and cross-validation for effective classification and prediction of suicidal ideation from social network data
    A Chadha, B Kaushik
    New Generation Computing 40 (4), 889-914 , 2022
    2022
    Citations: 54
  • Stacked deep dense neural network model to predict Alzheimer’s dementia using audio transcript data
    YF Khan, B Kaushik, MKI Rahmani, ME Ahmed
    Ieee Access 10, 32750-32765 , 2022
    2022
    Citations: 53
  • Performance evaluation of learning models for intrusion detection system using feature selection
    B Kaushik, R Sharma, K Dhama, A Chadha, S Sharma
    Journal of Computer Virology and Hacking Techniques 19 (4), 529-548 , 2023
    2023
    Citations: 48
  • A systematic literature review for the prediction of anticancer drug response using various machine‐learning and deep‐learning techniques
    DP Singh, B Kaushik
    Chemical Biology & Drug Design 101 (1), 175-194 , 2023
    2023
    Citations: 46
  • A survey on prediction of suicidal ideation using machine and ensemble learning
    A Chadha, B Kaushik
    The Computer Journal 64 (11), 1617-1632 , 2021
    2021
    Citations: 45
  • Machine learning concepts and its applications for prediction of diseases based on drug behaviour: An extensive review
    DP Singh, B Kaushik
    Chemometrics and Intelligent Laboratory Systems 229, 104637 , 2022
    2022
    Citations: 40
  • Offline recognition of handwritten Indic scripts: A state-of-the-art survey and future perspectives
    R Sharma, B Kaushik
    Computer Science Review 38, 100302 , 2020
    2020
    Citations: 40
  • Ultra-lightweight blockchain-enabled RFID authentication protocol for supply chain in the domain of 5G mobile edge computing
    S Kumar, H Banka, B Kaushik
    Wireless Networks 29 (5), 2105-2126 , 2023
    2023
    Citations: 38
  • Quantitative analysis of stock market prediction for accurate investment decisions in future
    S Sharma, B Kaushik
    Journal of Artificial Intelligence 11 (1), 48-54 , 2018
    2018
    Citations: 37
  • Character recognition using machine learning and deep learning-a survey
    R Sharma, B Kaushik, N Gondhi
    2020 International Conference on Emerging Smart Computing and Informatics … , 2020
    2020
    Citations: 33
  • A review and analysis of secure and lightweight ECC‐based RFID authentication protocol for Internet of Vehicles
    S Kumar, H Banka, B Kaushik, S Sharma
    Transactions on Emerging Telecommunications Technologies 32 (11), e4354 , 2021
    2021
    Citations: 31
  • HSI-LFS-BERT: novel hybrid swarm intelligence based linguistics feature selection and computational intelligent model for Alzheimer’s prediction using audio transcript
    YF Khan, B Kaushik, MKI Rahmani, ME Ahmed
    IEEE Access 10, 126990-127004 , 2022
    2022
    Citations: 29
  • Cryptographic Solution Based Secure Elliptic Curve Cryptography Enabled Radio Frequency Identification Mutual Authentication Protocol for Internet of Vehicles
    S Sharma, MEA Baijnath Kaushik, Mohammad Khalid Imam Rahmani
    IEEE ACCESS , 2021
    2021
    Citations: 27
  • Performance evaluation of approximated artificial neural network (AANN) algorithm for reliability improvement
    B Kaushik, H Banka
    Applied Soft Computing 26, 303-314 , 2015
    2015
    Citations: 27
  • DWUT-MLP: Classification of anticancer drug response using various feature selection and classification techniques
    PS Davinder, G Abhishek, K Baijnath
    Chemometrics and Intelligent Laboratory Systems 225 , 2022
    2022
    Citations: 22
  • Feature selection from biological database for breast cancer prediction and detection using machine learning classifier
    A Gupta, BN Kaushik
    Journal of Artificial Intelligence 11 (2), 55-64 , 2018
    2018
    Citations: 21
  • A sentiment analysis of food review using logistic regression
    M Wankhade, ACS Rao, S Dara, B Kaushik
    Int J Sci Res Comput Sci Eng InformTechnol 2 (7), 251-260 , 2017
    2017
    Citations: 20
  • Performance evaluation of learning models for identification of suicidal thoughts
    A Chadha, B Kaushik
    The Computer Journal 65 (1), 139-154 , 2022
    2022
    Citations: 19