Papers by Mahaboob Subhani Shaik

International Journal of Advanced Research in Science, Communication and Technology (IJARSCT), 2025
Deepfakes are intentionally created to disseminate false information or serve malicious purposes.... more Deepfakes are intentionally created to disseminate false information or serve malicious purposes. Detecting deepfakes has become increasingly difficult due to the advancing technology involved in their creation. This paper introduces a deep learning model based on Neural Architecture Search (NAS) that incorporates the You Only Look Once (YOLO) model for image segmentation and employs data augmentation to enhance the diversity of the dataset. The goal is to improve deepfake detection accuracy compared to current models. The study utilized the CelebDF v2 dataset, which includes 590 genuine videos and 5,639 deepfake videos. From this dataset, 100 deepfake and 100 real videos were chosen, and frames were extracted. After augmentation, the resulting dataset comprised 2,000 real and 2,000 deepfake images. The proposed model attained a testing accuracy of 99.04% and performed exceptionally well across other evaluation metrics such as F1 score, precision, and recall.
International Journal of Research In Computer Applications and Information Technology (IJRCAIT), 2024
The complexity of modern clinical research operations (CRO) necessitates advanced solutions for m... more The complexity of modern clinical research operations (CRO) necessitates advanced solutions for managing vast datasets, streamlining workflows, and ensuring compliance with stringent regulatory requirements. AI-driven data integration and automation technologies have emerged as key enablers of efficiency and accuracy in CRO, facilitating real-time data synchronization, workflow automation, and predictive analytics.

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2024
Artificial Intelligence has transformed enterprise cloud-based integrations and automation, revol... more Artificial Intelligence has transformed enterprise cloud-based integrations and automation, revolutionizing how businesses manage data, workflows, and applications across distributed environments. This comprehensive article explores the impact of AI on enterprise systems, examining key areas, including intelligent data integration, automated workflow optimization, and enhanced security measures. The article delves into technical implementation considerations, discussing infrastructure requirements and integration architectures while highlighting the substantial business benefits in operational efficiency, cost optimization, and strategic advantages. Additionally, it addresses the critical challenges organizations face in technical and organizational dimensions when implementing AI solutions, providing insights into successful adoption strategies and future considerations for enterprise AI integration.
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Papers by Mahaboob Subhani Shaik