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

Artificial Intelligence Integrated Smart Medical Imaging Lab Framework for Enhanced Diagnosis and Treatment of Pandemic-Prone Diseases

人工智能集成智能医学影像实验室框架，用于加强对易发流行病的疾病的诊断和治疗

期刊:Health Science Reports
影响因子:2.1
doi:10.1002/hsr2.71972
Tungal, Aditika; Singh, Prabhsimran; Singh, Kuldeep; Kaur, Pankaj Deep; Bharany, Salil; Pant, Ruby; Kumar, Ajay; Rehman, Ateeq Ur; Hussen, Seada
发表日期：2026
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Leveraging two-dimensional pre-trained vision transformers for three-dimensional model generation via masked autoencoders

利用二维预训练视觉Transformer模型，通过掩码自编码器生成三维模型

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-025-87376-y
Sajid, Muhammad; Razzaq Malik, Kaleem; Ur Rehman, Ateeq; Safdar Malik, Tauqeer; Alajmi, Masoud; Haider Khan, Ali; Haider, Amir; Hussen, Seada
发表日期：2025
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Advancing wind energy potential estimation through multidistribution wind speed analysis in coastal Pakistan

通过多分布风速分析推进巴基斯坦沿海地区风能潜力评估

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-025-03322-y
Abbas, Ghulam; Ali, Arshad; Mushtaq, Zohaib; Rehman, Ateeq Ur; Hussen, Seada; Hamam, Habib
发表日期：2025
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Electrocardiogram analysis for cardiac arrhythmia classification and prediction through self attention based auto encoder

基于自注意力机制的自编码器进行心电图分析，用于心律失常分类和预测

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-025-93906-5
Shah, Ameet; Singh, Dhanpratap; Mohamed, Heba G; Bharany, Salil; Rehman, Ateeq Ur; Hussen, Seada
发表日期：2025
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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

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-025-88286-9
Kaushik, Sunil; Bhardwaj, Akashdeep; Almogren, Ahmad; Bharany, Salil; Altameem, Ayman; Rehman, Ateeq Ur; Hussen, Seada; Hamam, Habib
发表日期：2025
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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

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-025-94380-9
Soni, Tanishq; Gupta, Sheifali; Almogren, Ahmad; Altameem, Ayman; Rehman, Ateeq Ur; Hussen, Seada; Bharany, Salil
ARC
发表日期：2025
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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。

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-025-04631-y
Singh, Retinderdeep; Gupta, Sheifali; Mohamed, Heba G; Bharany, Salil; Rehman, Ateeq Ur; Ghadi, Yazeed Yasin; Hussen, Seada
发表日期：2025
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A hybrid steganography framework using DCT and GAN for secure data communication in the big data era

一种基于离散余弦变换（DCT）和生成对抗网络（GAN）的混合隐写框架，用于大数据时代的安全数据通信。

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-025-01054-7
Malik, Kaleem Razzaq; Sajid, Muhammad; Almogren, Ahmad; Malik, Tauqeer Safdar; Khan, Ali Haider; Altameem, Ayman; Rehman, Ateeq Ur; Hussen, Seada
GAN
发表日期：2025
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Deep learning based ensemble model for accurate tomato leaf disease classification by leveraging ResNet50 and MobileNetV2 architectures

基于深度学习的集成模型，利用 ResNet50 和 MobileNetV2 架构实现番茄叶片病害的精确分类

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-025-98015-x
Sharma, Jatin; Al-Huqail, Asma A; Almogren, Ahmad; Doshi, Hardik; Jayaprakash, B; Bharathi, B; Ur Rehman, Ateeq; Hussen, Seada
发表日期：2025
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YOLO-LeafNet: a robust deep learning framework for multispecies plant disease detection with data augmentation

YOLO-LeafNet：一种用于多物种植物病害检测并结合数据增强的稳健深度学习框架

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-025-14021-z
Kaur, Ramanjot; Mittal, Usha; Wadhawan, Ankita; Almogren, Ahmad; Singla, Jimmy; Bharany, Salil; Hussen, Seada; Rehman, Ateeq Ur; Al-Huqail, Asma A
发表日期：2025
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