日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

A transfer learning-based approach for automated bone fracture classification in X-ray imaging

一种基于迁移学习的X射线图像骨折自动分类方法

Bhuria, Ruchika; Gupta, Sheifali; Ghoniem, Rania M; Singh, Jaibir; Rani, Suman; Taye, Belayneh Matebie; Bharany, Salil

Multi-level attention DeepLab V3+ with EfficientNetB0 for GI tract organ segmentation in MRI scans

基于多级注意力机制的 DeepLab V3+ 与 EfficientNetB0 结合,用于 MRI 扫描中胃肠道器官分割

Sharma, Neha; Gupta, Sheifali; Al-Yarimi, Fuad Ali Mohammed; Kaur, Upinder; Bharany, Salil; Rehman, Ateeq Ur; Taye, Belayneh Matebie

Deep learning-based phenotyping of lettuce diseases using Efficient-FBM-FRMNet for precision agriculture

基于深度学习的莴苣病害表型分析:利用高效FBM-FRMNet实现精准农业

Nasra, Parul; Gupta, Sheifali; Khan, Mudassir; Singh, Jaibir; Alabdullah, Bayan; Almjally, Abrar; Pant, Ruby; Kumar, Nitin; Bharany, Salil

Advanced KNN-based cost-efficient algorithm for precision localization and energy optimization in dynamic underwater sensor networks

一种基于KNN的先进低成本算法,用于动态水下传感器网络中的精确定位和能量优化

Shamshad, Nadia; Wang, Lei; Saleem, Kiran; Sarwr, Danish; Bharany, Salil; Almogren, Ahmad; Choi, Jaeyoung; Rehman, Ateeq Ur; Altameem, Ayman

Robust machine learning based Intrusion detection system using simple statistical techniques in feature selection

基于机器学习的鲁棒入侵检测系统,采用简单的统计技术进行特征选择

Kaushik, Sunil; Bhardwaj, Akashdeep; Almogren, Ahmad; Bharany, Salil; Altameem, Ayman; Rehman, Ateeq Ur; Hussen, Seada; Hamam, Habib

FasNet: a hybrid deep learning model with attention mechanisms and uncertainty estimation for liver tumor segmentation on LiTS17

FasNet:一种结合注意力机制和不确定性估计的混合深度学习模型,用于LiTS17数据集上的肝肿瘤分割。

Singh, Rahul; Gupta, Sheifali; Almogren, Ahmad; Rehman, Ateeq Ur; Bharany, Salil; Altameem, Ayman; Choi, Jaeyoung

CRFTS: a cluster-centric and reservation-based fault-tolerant scheduling strategy to enhance QoS in cloud computing

CRFTS:一种以集群为中心、基于预留的容错调度策略,用于提升云计算中的服务质量

Mushtaq, Sheikh Umar; Sheikh, Sophiya; Nain, Ajay; Bharany, Salil; Ghoniem, Rania M; Taye, Belayneh Matebie

ARCUNet: enhancing skin lesion segmentation with residual convolutions and attention mechanisms for improved accuracy and robustness

ARCUNet:利用残差卷积和注意力机制增强皮肤病变分割,以提高准确性和鲁棒性

Soni, Tanishq; Gupta, Sheifali; Almogren, Ahmad; Altameem, Ayman; Rehman, Ateeq Ur; Hussen, Seada; Bharany, Salil

Efficient diagnosis of diabetes mellitus using an improved ensemble method

利用改进的集成方法高效诊断糖尿病

Olorunfemi, Blessing Oluwatobi; Ogunde, Adewale Opeoluwa; Almogren, Ahmad; Adeniyi, Abidemi Emmanuel; Ajagbe, Sunday Adeola; Bharany, Salil; Altameem, Ayman; Rehman, Ateeq Ur; Mehmood, Asif; Hamam, Habib

Advancing prenatal healthcare by explainable AI enhanced fetal ultrasound image segmentation using U-Net++ with attention mechanisms

利用可解释人工智能增强的胎儿超声图像分割技术,结合U-Net++和注意力机制,推进产前医疗保健。

Singh, Retinderdeep; Gupta, Sheifali; Mohamed, Heba G; Bharany, Salil; Rehman, Ateeq Ur; Ghadi, Yazeed Yasin; Hussen, Seada