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2020 – today
- 2024
[j6]Sunil Kumar
, Harish Kumar, Gyanendra Kumar, Shailendra Pratap Singh, Anchit Bijalwan, Manoj Diwakar:
A methodical exploration of imaging modalities from dataset to detection through machine learning paradigms in prominent lung disease diagnosis: a review. BMC Medical Imaging 24(1): 30 (2024)- 2023
- [j5]Mukul Aggarwal, Amod Kumar Tiwari, M. Partha Sarathi, Anchit Bijalwan:
An early detection and segmentation of Brain Tumor using Deep Neural Network. BMC Medical Informatics Decis. Mak. 23(1): 78 (2023) - 2021
- [j4]Prabhjot Kaur, Amit Awasthi, Anchit Bijalwan:
Evaluation of feature selection techniques on network traffic for comparing model accuracy. Int. J. Comput. Sci. Eng. 24(3): 228-243 (2021) - 2020
- [j3]Anchit Bijalwan:
Botnet Forensic Analysis Using Machine Learning. Secur. Commun. Networks 2020: 9302318:1-9302318:9 (2020)
2010 – 2019
- 2018
- [j2]Anchit Bijalwan, Vijender Kumar Solanki, Emmanuel S. Pilli:
Botnet Forensic: Issues, Challenges and Good Practices. Netw. Protoc. Algorithms 10(2): 28-51 (2018) - [c5]Prabhjot Kaur, Prashant Chaudhary, Anchit Bijalwan, Amit Awasthi:
Network Traffic Classification Using Multiclass Classifier. ICACDS (1) 2018: 208-217 - [c4]Prabhjot Kaur, Anchit Bijalwan, Amit Awasthi:
Adhesive Model for Collection and Auto Storage of Colossal Health Data for Epidemiological Studies. RICE 2018: 1-6 - [c3]Arti Rana, Arvind Singh Rawat, Anchit Bijalwan, Himanshu Bahuguna:
Application of Multi Layer (Perceptron) Artificial Neural Network in the Diagnosis System: A Systematic Review. RICE 2018: 1-6 - 2017
- [c2]Harvinder Singh, Anchit Bijalwan:
A Framework on botnet detection and forensics. RICE 2017: 93-101 - [c1]Arti Rana, Arvind Singh Rawat, Anchit Bijalwan:
Process of finding defects in software testing. RICE 2017: 297-300 - 2015
- [j1]Anchit Bijalwan, Mohammad Wazid, Emmanuel S. Pilli, Ramesh Chandra Joshi:
Forensics of Random-UDP Flooding Attacks. J. Networks 10(5): 287-293 (2015)
Coauthor Index
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