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R
Rizwan Ali Naqvi
H指数:39
被引数:5,146
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Adaptive kernel fusion network with a boundary-aware decoder for generalizable colorectal polyp segmentation
自适应核融合网络及其边界感知解码器在泛化性结直肠息肉分割中的应用
DGTN: Graph-Enhanced Transformer with Diffusive Attention and Gating Mechanism for Multi-Task Breast Ultrasound Tumor Analysis
DGTN：基于扩散注意力和门控机制的图增强Transformer用于多任务乳腺超声肿瘤分析
Bioengineering-Basel
IF3.7
ODDM: Integration of SMOTE Tomek with Deep Learning on Imbalanced Color Fundus Images for Classification of Several Ocular Diseases
ODDM：将SMOTE Tomek与深度学习集成应用于不平衡彩色眼底图像，用于分类多种眼疾
ODDM: Integration of SMOTE Tomek with Deep Learning on Imbalanced Color Fundus Images for Classification of Several Ocular Diseases
ODDM: 基于SMOTE Tomek与深度学习的彩色眼底图像不平衡数据集成方法，用于多种眼部疾病的分类
SkinDWNet: a novel deep learning model for multiclass classification of skin cancers using dermoscopic images
SkinDWNet：一种用于基于皮肤镜图像进行皮肤癌多分类的新型深度学习模型
Multimedia Systems
IF3.1
Corrections to “Copy-Move Forgery Detection Technique Using Graph Convolutional Networks Feature Extraction”
“基于图卷积网络特征提取的复制-移动伪造检测技术”的修正
IEEE Access
IF3.6
Multi-Agent Deep Reinforcement Learning-Based Task Scheduling and Resource Sharing for O-RAN-Empowered Multi-UAV-Assisted Wireless Sensor Networks
基于多Agent深度强化学习的o-ran多无人机辅助无线传感器网络任务调度与资源共享
Corn leaf disease: insightful diagnosis using VGG16 empowered by explainable AI
玉米叶病: 使用可解释的AI授权的VGG16进行有见地的诊断
ReFuSeAct: Representation fusion using self-supervised learning for activity recognition in next generation networks
拒绝: 下一代网络中使用自监督学习进行活动识别的表示融合
INFORMATION FUSION
IF15.5
Copy-Move Forgery Detection Technique Using Graph Convolutional Networks Feature Extraction
基于图卷积网络特征提取的复制-移动伪造检测技术
IEEE ACCESS
IF3.6
