Baijnath Kaushik

30 papers Journal 29Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A novel computational intelligence model using improvised feature selection for Parkinson's disease classification. Multim. Tools Appl. Baijnath Kaushik, Reya Sharma, Yusera Farooq Khan, Akshma Chadha, Niharika
2025	J	`jnl`	A three layer stacked multimodel transfer learning approach for deep feature extraction from Chest Radiographic images for the classification of COVID-19. Eng. Appl. Artif. Intell. Baijnath Kaushik, Akshma Chadha, Abhigya Mahajan, Malvika Ashok
2025	J	`jnl`	Handwritten north Indian script recognition using machine learning: a survey. Int. J. Adv. Intell. Paradigms Reya Sharma, Baijnath Kaushik, Naveen Kumar Gondhi
2024	J	`jnl`	A Hybrid Feature Selection and Ensemble Stacked Learning Models on Multi-Variant CVD Datasets for Effective Classification. IEEE Access Abhigya Mahajan, Baijnath Kaushik, Mohammad Khalid Imam Rahmani, Abdulbasid Banga
2024	J	`jnl`	An Ultra-Lightweight Secure RFID Authentication Protocol for Low-Cost Tags. J. Comput. Virol. Hacking Tech. Sanjeev Kumar, Haider Banka, Baijnath Kaushik, Surbhi Sharma
2024	J	`jnl`	Lightweight group authentication protocol for secure RFID system. Multim. Tools Appl. Sanjeev Kumar, Haider Banka, Baijnath Kaushik
2023	J	`jnl`	CTDN (Convolutional Temporal Based Deep- Neural Network): An Improvised Stacked Hybrid Computational Approach for Anticancer Drug Response Prediction. Comput. Biol. Chem. Davinder Paul Singh, Baijnath Kaushik
2023	J	`jnl`	Comparative evaluation of deep dense sequential and deep dense transfer learning models for suicidal emotion prediction. Concurr. Comput. Pract. Exp. Akshita Sharma, Baijnath Kaushik, Akshma Chadha, Reya Sharma
2023	—	`conf`	Machine Learning Model for Sentiment Analysis on Mental Health Issues. ICCAE Baijnath Kaushik, Akshita Sharma, Akshma Chadha, Reya Sharma
2023	J	`jnl`	Performance Evaluation of Learning Models for the Prognosis of COVID-19. New Gener. Comput. Baijnath Kaushik, Akshma Chadha, Reya Sharma
2023	J	`jnl`	Performance evaluation of learning models for intrusion detection system using feature selection. J. Comput. Virol. Hacking Tech. Baijnath Kaushik, Reya Sharma, Kulwant Dhama, Akshma Chadha, Surbhi Sharma
2023	J	`jnl`	Ultra-lightweight blockchain-enabled RFID authentication protocol for supply chain in the domain of 5G mobile edge computing. Wirel. Networks Sanjeev Kumar, Haider Banka, Baijnath Kaushik
2022	J	`jnl`	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. Akshma Chadha, Baijnath Kaushik
2022	J	`jnl`	A comparative study and implementation of neuro-fuzzy and decision tree for malignant tumour detection system. Int. J. Adv. Intell. Paradigms Sanjeev Kumar, Rajesh Kumar Maurya, Sanjay Kumar Yadav, Baijnath Kaushik
2022	J	`jnl`	Computational Intelligent Models for Alzheimer's Prediction Using Audio Transcript Data. Comput. Informatics Yusera Farooq Khan, Baijnath Kaushik, Bilal Ahmed Mir
2022	J	`jnl`	HSI-LFS-BERT: Novel Hybrid Swarm Intelligence Based Linguistics Feature Selection and Computational Intelligent Model for Alzheimer's Prediction Using Audio Transcript. IEEE Access Yusera Farooq Khan, Baijnath Kaushik, Mohammad Khalid Imam Rahmani, Md. Ezaz Ahmed
2022	J	`jnl`	Performance Evaluation of Learning Models for Identification of Suicidal Thoughts. Comput. J. Akshma Chadha, Baijnath Kaushik
2022	J	`jnl`	Stacked Deep Dense Neural Network Model to Predict Alzheimer's Dementia Using Audio Transcript Data. IEEE Access Yusera Farooq Khan, Baijnath Kaushik, Mohammad Khalid Imam Rahmani, Md. Ezaz Ahmed
2021	J	`jnl`	A Survey on Prediction of Suicidal Ideation Using Machine and Ensemble Learning. Comput. J. Akshma Chadha, Baijnath Kaushik
2021	J	`jnl`	A review and analysis of secure and lightweight ECC-based RFID authentication protocol for Internet of Vehicles. Trans. Emerg. Telecommun. Technol. Sanjeev Kumar, Haider Banka, Baijnath Kaushik, Surbhi Sharma
2021	J	`jnl`	A survey on nature-inspired algorithms and its applications in the Internet of Vehicles. Int. J. Commun. Syst. Surbhi Sharma, Baijnath Kaushik
2021	J	`jnl`	Corrigendum to "A survey on internet of vehicles: Applications, security issues & solutions" [Veh. Commun. 20 (2019) 100182]. Veh. Commun. Surbhi Sharma, Baijnath Kaushik
2021	J	`jnl`	Cryptographic Solution-Based Secure Elliptic Curve Cryptography Enabled Radio Frequency Identification Mutual Authentication Protocol for Internet of Vehicles. IEEE Access Surbhi Sharma, Baijnath Kaushik, Mohammad Khalid Imam Rahmani, Md. Ezaz Ahmed
2020	J	`jnl`	Offline recognition of handwritten Indic scripts: A state-of-the-art survey and future perspectives. Comput. Sci. Rev. Reya Sharma, Baijnath Kaushik
2019	J	`jnl`	A survey on internet of vehicles: Applications, security issues & solutions. Veh. Commun. Surbhi Sharma, Baijnath Kaushik
2015	J	`jnl`	Improved neural approach in maximising reliability for increasing networks. Int. J. Comput. Sci. Eng. Baijnath Kaushik, Navdeep Kaur, Amit Kumar Kohli
2015	J	`jnl`	Performance evaluation of approximated artificial neural network (AANN) algorithm for reliability improvement. Appl. Soft Comput. Baijnath Kaushik, Haider Banka
2014	J	`jnl`	Approach for improving reliability in optimal network design. Int. J. Adv. Intell. Paradigms Baijnath Kaushik, Haider Banka
2013	J	`jnl`	Achieving maximum reliability in fault tolerant network design for variable networks. Appl. Soft Comput. Baijnath Kaushik, Navdeep Kaur, Amit Kumar Kohli
2013	J	`jnl`	Improved Approach for Maximizing Reliability in Fault Tolerant Networks. J. Adv. Comput. Intell. Intell. Informatics Baijnath Kaushik, Navdeep Kaur, Amit Kumar Kohli