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2020 – today
- 2026
[j11]Neeraj Dahiya, Simmi Madaan, Shakti Kundu, Shanu Kuttan Rakesh
, Aadvik Dalal, Manel Ayadi, Kedir Botamo Adem, Arshad Hashmi:
Grey Wolf Optimized Transformer Model for Enhanced Multi-class Prediction of Parkinson's Freezing of Gait Events. Int. J. Comput. Intell. Syst. 19(1): 26 (2026)- [j10]CuiYing Han, Faeiz M. Alserhani, Tariq Ahamed Ahanger, Najah Kalifah Almazmomi, Arshad Hashmi:
Adaptive cyber threat detection in internet of things environment using deep learning and metaheuristic optimization. Peer Peer Netw. Appl. 19(1): 38 (2026) - 2025
- [j9]Surjeet Dalal, Neeraj Dahiya, Shakti Kundu, Amit Verma, Gaytri Devi, Manel Ayadi, Mitiku Dubale, Arshad Hashmi:
GAN-CSA: Enhanced Generative Adversarial Networks for Accurate Detection and Surgical Guidance in Skull Base Brain Metastases. Int. J. Comput. Intell. Syst. 18(1): 310 (2025) - [j8]Maganti Syamala, Raja Chandrasekaran, R. Balamurali, R. Rani, Arshad Hashmi, Ajmeera Kiran, A. Rajaram:
Evaluating Generative Adversarial Networks for Virtual Contrast-Enhanced Kidney Segmentation using Res-UNet in Non-Contrast CT Images. Multim. Tools Appl. 84(18): 20121-20144 (2025) - [j7]Aayushi Chahal, Chhaya Gupta, Nasib Singh Gill, Preeti Gulia, Slim Chaoui, Piyush Kumar Shukla, Arshad Hashmi, J. Shreyas:
A Federated Learning-Based Traffic Congestion and Fuel Monitoring. Neural Process. Lett. 57(6): 92 (2025) - [j6]Jiangang Feng, Faeiz M. Alserhani, Asmaa A. Hamad, Hassan Alsberi, Najah Kalifah Almazmomi, Arshad Hashmi:
An efficient and resilient IoT architecture for smart grids via quantum key distribution and multi-homocryption encryption. Quantum Inf. Process. 24(9): 286 (2025) - 2024
- [j5]Himani Saini, Gopal Singh, Sandeep Dalal, Iyyappan Moorthi, Sultan Mesfer Aldossary, Nasratullah Nuristani, Arshad Hashmi:
A hybrid machine learning model with self-improved optimization algorithm for trust and privacy preservation in cloud environment. J. Cloud Comput. 13(1): 157 (2024) - [j4]Amir Ahmad, Sami M. Halawani, Ajay Kumar, Arshad Hashmi, Mutasem Jarrah, Abdul Rafey Ahmad, Zia Abbas:
A Theoretical Study of the Representational Power of Weighted Randomised Univariate Regression Tree Ensembles. J. Inf. Knowl. Manag. 23(4): 2450045:1-2450045:26 (2024) - [j3]Umesh Kumar Lilhore, Surjeet Dalal, Neetu Faujdar, Sarita Simaiya, Mamta Dahiya, Shilpi Tomar, Arshad Hashmi:
Unveiling the prevalence and risk factors of early stage postpartum depression: a hybrid deep learning approach. Multim. Tools Appl. 83(26): 68281-68315 (2024) - [j2]Lakshmana Phaneendra Maguluri, Kuldeep Chouhan, R. Balamurali, R. Rani, Arshad Hashmi, Ajmeera Kiran, A. Rajaram:
Adversarial deep learning for improved abdominal organ segmentation in CT scans. Multim. Tools Appl. 83(35): 82107-82129 (2024) - 2021
- [j1]Sharaf J. Malebary, Arshad Hashmi:
Automated Breast Mass Classification System Using Deep Learning and Ensemble Learning in Digital Mammogram. IEEE Access 9: 55312-55328 (2021)
Coauthor Index
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