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ORCIDBaijnath Kaushik
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2020 – today
- 2024
[j26]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: 87023-87038 (2024)- [j25]Sanjeev Kumar, Haider Banka, Baijnath Kaushik, Surbhi Sharma:
An Ultra-Lightweight Secure RFID Authentication Protocol for Low-Cost Tags. J. Comput. Virol. Hacking Tech. 20(4): 803-818 (2024) - 2023
- [j24]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: 107868 (2023) - [j23]Niharika Gupta, Baij Nath Kaushik:
Prognosis and Prediction of Breast Cancer Using Machine Learning and Ensemble-Based Training Model. Comput. J. 66(1): 70-85 (2023) - [j22]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) - [j21]Baijnath Kaushik, Akshma Chadha, Reya Sharma:
Performance Evaluation of Learning Models for the Prognosis of COVID-19. New Gener. Comput. 41(3): 533-551 (2023) - [j20]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): 529-548 (2023) - [j19]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): 2105-2126 (2023) - [c1]Baijnath Kaushik, Akshita Sharma, Akshma Chadha, Reya Sharma:
Machine Learning Model for Sentiment Analysis on Mental Health Issues. ICCAE 2023: 21-25 - 2022
- [j18]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: 32750-32765 (2022) - [j17]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: 126990-127004 (2022) - [j16]Yusera Farooq Khan, Baijnath Kaushik, Bilal Ahmed Mir:
Computational Intelligent Models for Alzheimer's Prediction Using Audio Transcript Data. Comput. Informatics 41(6): 1589-1624 (2022) - [j15]Akshma Chadha, Baijnath Kaushik:
Performance Evaluation of Learning Models for Identification of Suicidal Thoughts. Comput. J. 65(1): 139-154 (2022) - [j14]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): 410-422 (2022) - [j13]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): 889-914 (2022) - 2021
- [j12]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: 147114-147128 (2021) - [j11]Akshma Chadha, Baijnath Kaushik:
A Survey on Prediction of Suicidal Ideation Using Machine and Ensemble Learning. Comput. J. 64(11): 1617-1632 (2021) - [j10]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) - [j9]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) - [j8]Surbhi Sharma, Baijnath Kaushik:
Corrigendum to "A survey on internet of vehicles: Applications, security issues & solutions" [Veh. Commun. 20 (2019) 100182]. Veh. Commun. 27: 100289 (2021) - 2020
- [j7]Reya Sharma, Baijnath Kaushik:
Offline recognition of handwritten Indic scripts: A state-of-the-art survey and future perspectives. Comput. Sci. Rev. 38: 100302 (2020)
2010 – 2019
- 2019
- [j6]Surbhi Sharma, Baijnath Kaushik:
A survey on internet of vehicles: Applications, security issues & solutions. Veh. Commun. 20 (2019) - 2015
- [j5]Baijnath Kaushik, Haider Banka:
Performance evaluation of approximated artificial neural network (AANN) algorithm for reliability improvement. Appl. Soft Comput. 26: 303-314 (2015) - [j4]Baijnath Kaushik, Navdeep Kaur, Amit Kumar Kohli:
Improved neural approach in maximising reliability for increasing networks. Int. J. Comput. Sci. Eng. 11(2): 176-185 (2015) - 2014
- [j3]Baijnath Kaushik, Haider Banka:
Approach for improving reliability in optimal network design. Int. J. Adv. Intell. Paradigms 6(3): 157-175 (2014) - 2013
- [j2]Baijnath Kaushik, Navdeep Kaur, Amit Kumar Kohli:
Achieving maximum reliability in fault tolerant network design for variable networks. Appl. Soft Comput. 13(7): 3211-3224 (2013) - [j1]Baijnath Kaushik, Navdeep Kaur, Amit Kumar Kohli:
Improved Approach for Maximizing Reliability in Fault Tolerant Networks. J. Adv. Comput. Intell. Intell. Informatics 17(1): 27-41 (2013)
Coauthor Index
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