B. Kaushik

发表

Suicidal Tendency on Social Media by Using Text Mining

Sunanda, Priyanka Gupta, B. Kaushik, 2019 .

A Hybrid Technique using CNN+LSTM for Speech Emotion Recognition

B. Kaushik, Hafsa Qazi, 2020, International Journal of Engineering and Advanced Technology.

Transfer Learning-Assisted Prognosis of Alzheimer's Disease and Mild Cognitive Impairment Using Structural-MRI

Yusera Farooq Khan, Bilal Ahmed Mir, B. Kaushik, 2022, 2022 10th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-22).

Quantum Particle Swarm Optimization Based Convolutional Neural Network for Handwritten Script Recognition

Muhammad Mohsin Tahir, B. Kaushik, Reya Sharma, 2022, Computers, Materials & Continua.

Stacked Deep Dense Neural Network Model to Predict Alzheimer’s Dementia Using Audio Transcript Data

Mohammad Khalid Imam Rahmani, Yusera Farooq Khan, Md Ezaz Ahmed, 2022, IEEE Access.

Machine learning concepts and its applications for prediction of diseases based on drug behaviour: An extensive review

B. Kaushik, Davinder Paul Singh, 2022, Chemometrics and Intelligent Laboratory Systems.

Neuro-image Classification for the Prediction of Alzheimer’s Disease Using Machine Learning Techniques

Yusera Farooq Khan, B. Kaushik, 2021 .

A systematic literature review for the prediction of anticancer drug response using various machine‐learning and deep‐learning techniques

B. Kaushik, Davinder Paul Singh, Baijnath Kaushik, 2022, Chemical biology & drug design.

Handwritten Indic scripts recognition using neuro-evolutionary adaptive PSO based convolutional neural networks

B. Kaushik, Reya Sharma, 2022, Sādhanā.

Improved neural approach in maximising reliability for increasing networks

Navdeep Kaur, Baijnath Kaushik, Amit Kumar Kohli, 2015, Int. J. Comput. Sci. Eng..

Approach for improving reliability in optimal network design

Haider Banka, Baijnath Kaushik, H. Banka, 2014, Int. J. Adv. Intell. Paradigms.

Achieving maximum reliability in fault tolerant network design for variable networks

B. Kaushik, N. Kaur, A.K. Kohli, 2013, Appl. Soft Comput..

A Database for Printed Takri Class of North-West Indian Regional Scripts

Ajay Kaul, Baijnath Kaushik, Shikha Magotra, 2019 .

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, Md. Ezaz Ahmed, B. Kaushik, 2022, IEEE Access.

Ensemble Model for Diagnostic Classification of Alzheimer’s Disease Based on Brain Anatomical Magnetic Resonance Imaging

C. L. Chowdhary, Yusera Farooq Khan, B. Kaushik, 2022, Diagnostics.

Review of Deep Learning Techniques for Improving the Performance of Machine Reading Comprehension Problem

Henna Farooq, Baijnath kaushik, B. Kaushik, 2020, 2020 4th International Conference on Intelligent Computing and Control Systems (ICICCS).

Improved Approach for Maximizing Reliability in Fault Tolerant Networks

Navdeep Kaur, Baijnath Kaushik, Amit Kumar Kohli, 2013, J. Adv. Comput. Intell. Intell. Informatics.

An Optimized ANN Design for Measuring Overall Reliability for Growing Computer Networks with Fixed and Varying links

Amit Kumar, Navdeep Kaur, Baijnath Kaushik, 2011 .

A computational study on the design of overall reliability measures of optimized ANN for computer networks with fixed and varying link reliabilities

Navdeep Kaur, Baijnath Kaushik, Amit Kumar Kohli, 2010, 2010 IEEE International Conference on Computational Intelligence and Computing Research.

Cryptographic Solution Based Secure Elliptic Curve Cryptography Enabled Radio Frequency Identification Mutual Authentication Protocol for Internet of Vehicles

Baijnath Kaushik, Mohammad Khalid Imam Rahmani, Surbhi Sharma, 2021, IEEE Access.

Handwritten Indic scripts recognition using neuro-evolutionary adaptive PSO based convolutional neural networks

B. Kaushik, Reya Sharma, Baijnath Kaushik, 2022, Sādhanā.

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

Baijnath Kaushik, Reya Sharma, B. Kaushik, 2020, Comput. Sci. Rev..

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

Surbhi Sharma, Baijnath Kaushik, Surbhi Sharma, 2019, Veh. Commun..

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

Baijnath Kaushik, Surbhi Sharma, Surbhi Sharma, 2021, Int. J. Commun. Syst..

A Hybrid Deep Learning Model Using Grid Search and Cross-Validation for Effective Classification and Prediction of Suicidal Ideation from Social Network Data

B. Kaushik, Akshma Chadha, Baijnath Kaushik, 2022, New Generation Computing.

Applications and Challenges in Internet of Vehicles: A Survey

B. Kaushik, Surbhi Sharma, 2022, Lecture Notes in Electrical Engineering.

A Comprehensive Review of Nature-inspired Algorithms for Internet of Vehicles

Baijnath Kaushik, Surbhi Sharma, Surbhi Sharma, 2020, 2020 International Conference on Emerging Smart Computing and Informatics (ESCI).

Performance Evaluation of Learning Models for Identification of Suicidal Thoughts

Baijnath Kaushik, Akshma Chadha, B. Kaushik, 2021, Comput. J..

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

B. Kaushik, Niharika Gupta, 2021, Comput. J..

CTDN (Convolutional Temporal Based Deep- Neural Network): An Improvised Stacked Hybrid Computational Approach for Anticancer Drug Response Prediction

B. Kaushik, Davinder Paul Singh, Baijnath Kaushik, 2023, Comput. Biol. Chem..

Performance evaluation of learning models for intrusion detection system using feature selection

B. Kaushik, Reya Sharma, Akshma Chadha, 2023, Journal of Computer Virology and Hacking Techniques.

Human Emotion Surveillance Using Computer Vision

G. Staflin Betzy, R. Radha, M Atchatha., 2018, International Journal of Engineering & Technology.

A Comparative analysis for identification and classification of text segmentation challenges in Takri Script

Ajay Kaul, Baijnath Kaushik, Shikha Magotra, 2020 .

A Survey on Prediction of Suicidal Ideation Using Machine and Ensemble Learning

B. Kaushik, Akshma Chadha, 2019, Comput. J..

Computer Vision Technique for Neuro-image Analysis in Neurodegenerative Diseases:A survey

Baijnath Kaushik, Yusera Farooq Khan, B. Kaushik, 2020, 2020 International Conference on Emerging Smart Computing and Informatics (ESCI).

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

B. Kaushik, Reya Sharma, Akshma Chadha, 2023, New Generation Computing.