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

Interpretable artificial intelligence (AI) for cervical cancer risk analysis leveraging stacking ensemble and expert knowledge

利用堆叠集成和专家知识进行宫颈癌风险分析的可解释人工智能(AI)

Roy, Priyanka; Hasan, Mahmudul; Islam, Md Rashedul; Uddin, Md Palash

Refining breast cancer classification: Customized attention integration approaches with dense and residual networks for enhanced detection

改进乳腺癌分类:采用密集网络和残差网络的定制化注意力集成方法以增强检测效果

Alam, Mohammad Sakif; Efat, Anwar Hossain; Hasan, Sm Mahedy; Uddin, Md Palash

Inverse Gini indexed averaging: A multi-leveled ensemble approach for skin lesion classification using attention-integrated customized ResNet variants

逆基尼指数平均:一种基于注意力机制的定制化 ResNet 变体的皮肤病变分类多级集成方法

Efat, Anwar Hossain; Hasan, Sm Mahedy; Uddin, Md Palash; Emon, Faysal Hossain

Segmentation-based deep 2D-3D multibranch learning approach for effective hyperspectral image classification

基于分割的深度2D-3D多分支学习方法用于有效的高光谱图像分类

Ahmed, Tanver; Mahjabin Nitu, Adiba; Ibn Afjal, Masud; Abdulla Al Mamun, Md; Uddin, Md Palash

Hybrid feature selection framework for enhanced credit card fraud detection using machine learning models

基于机器学习模型的混合特征选择框架,用于增强信用卡欺诈检测

Siam, Al Mahmud; Bhowmik, Pankaj; Uddin, Md Palash

Towards sustainable solutions: Effective waste classification framework via enhanced deep convolutional neural networks

迈向可持续解决方案:基于增强型深度卷积神经网络的有效废物分类框架

Islam, Md Minhazul; Hasan, S M Mahedy; Hossain, Md Rakib; Uddin, Md Palash; Mamun, Md Al

Nuclei segmentation and classification from histopathology images using federated learning for end-edge platform

利用联邦学习技术对组织病理学图像进行细胞核分割和分类,以应用于终端平台

Chowdhury, Anjir Ahmed; Mahmud, S M Hasan; Uddin, Md Palash; Kadry, Seifedine; Kim, Jung-Yeon; Nam, Yunyoung

Towards privacy-preserving Alzheimer's disease classification: Federated learning on T1-weighted magnetic resonance imaging data

面向隐私保护的阿尔茨海默病分类:基于T1加权磁共振成像数据的联邦学习

Sahid, Md Abdus; Uddin, Md Palash; Saha, Hasi; Islam, Md Rashedul

A Multi-level ensemble approach for skin lesion classification using Customized Transfer Learning with Triple Attention

一种基于定制迁移学习和三重注意力机制的多级集成方法用于皮肤病变分类

Efat, Anwar Hossain; Hasan, S M Mahedy; Uddin, Md Palash; Mamun, Md Al

Predictive modeling of multi-class diabetes mellitus using machine learning and filtering iraqi diabetes data dynamics

利用机器学习和过滤技术对多类别糖尿病进行预测建模,并分析伊拉克糖尿病数据动态

Sahid, Md Abdus; Babar, Mozaddid Ul Hoque; Uddin, Md Palash