M
Muhammad Umer
H-index:36
Citation Count:4,243
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SentriShield-VQ: An explainable variational quantum adversarial defense framework with interpretable attribution for secure computer vision under multi-vector attacks
SentriShield-VQ:一种具有可解释归因的变分量子对抗防御框架,用于在多向量攻击下实现安全的计算机视觉
MediNet: ensemble transfer learning approach for classification of medical drugs-related text reviews using significant combined-embeddings
MediNet: 使用重要的组合嵌入对医学药物相关文本评论进行分类的集成迁移学习方法
BioData Mining
IF6.1
FISM: harnessing deep learning and reinforcement learning for precision detection of microaneurysms and retinal exudates for early diabetic retinopathy diagnosis
FISM:利用深度学习和强化学习实现微动脉瘤和视网膜渗出物的精确检测,以进行早期糖尿病视网膜病变诊断
BioData Mining
IF6.1
Intelligent multi-modal data implementation with capsuleNet for accurate air quality index prediction
基于CapsuleNet的智能多模态数据实现,用于准确预测空气质量指数
Deepfake detection using optimized VGG16-based framework enhanced with LIME for secure digital content
基于优化VGG16框架并结合LIME的深度伪造检测,以保障数字内容安全
Artificial intelligence-driven predictive framework for early detection of still birth (vol 29, 100203, 2024)
人工智能驱动的早产儿早期检测预测框架(vol 29, 100203, 2024)
SLAS TECHNOLOGY
IF3.7

