Albanyan Abdullah相关文献与解析，生知库

Enhancing registration accuracy and eminence of multispectral transmission breast images by fusing multi-wavelength gen using vision transformer and LSTM

利用视觉Transformer和LSTM融合多波长生成信息，提高多光谱透射乳腺图像的配准精度和清晰度。

Fahad, Muhammad; Zhang, Tao; Khan, Sajid Ullah; Albanyan, Abdullah; Geng, Yanzhang; Zhao, Xin; Win, Nan Su Su; Li, Gang; Lin, Ling; Siddiqui, Fazeela

发表日期：2025

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Drug repurposing targeting COVID-19 3CL protease using molecular docking and machine learning regression approaches

利用分子对接和机器学习回归方法进行针对 COVID-19 3CL 蛋白酶的药物再利用

期刊:Scientific Reports

影响因子:3.9

doi:10.1038/s41598-025-02773-7

Aqeel, Imra; Majid, Abdul; Albanyan, Abdullah; Wasfi, Hassan

发表日期：2025

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A novel decision ensemble framework: Attention-customized BiLSTM and XGBoost for speculative stock price forecasting

一种新颖的决策集成框架：基于注意力机制的双向长短期记忆网络（BiLSTM）和XGBoost算法用于投机性股票价格预测

期刊:PLoS One

影响因子:2.6

doi:10.1371/journal.pone.0320089

Din, Riaz Ud; Ahmed, Salman; Khan, Saddam Hussain; Albanyan, Abdullah; Hoxha, Julian; Alkhamees, Bader

发表日期：2025

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TASCI: transformers for aspect-based sentiment analysis with contextual intent integration.

TASCI：基于方面、融合上下文意图的情感分析转换器

期刊:PeerJ Computer Science

影响因子:2.5

doi:10.7717/peerj-cs.2760

Chaudhry Hassan Nazeer, Kulsoom Farzana, Ullah Khan Zahid, Aman Muhammad, Khan Sajid Ullah, Albanyan Abdullah

ASC

发表日期：2025

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Brain Tumor MRI Classification Using a Novel Deep Residual and Regional CNN

基于新型深度残差和区域卷积神经网络的脑肿瘤MRI分类

期刊:Biomedicines

影响因子:3.9

doi:10.3390/biomedicines12071395

Zahoor, Mirza Mumtaz; Khan, Saddam Hussain; Alahmadi, Tahani Jaser; Alsahfi, Tariq; Mazroa, Alanoud S Al; Sakr, Hesham A; Alqahtani, Saeed; Albanyan, Abdullah; Alshemaimri, Bader Khalid

Optimizing dual energy X-ray image enhancement using a novel hybrid fusion method

利用新型混合融合方法优化双能X射线图像增强

期刊:

影响因子:

doi:10.3233/XST-240227

Fahad, Muhammad; Zhang, Tao; Khan, Sajid Ullah; Albanyan, Abdullah; Siddiqui, Fazeela; Iqbal, Yasir; Zhao, Xin; Geng, Yanzhang

发表日期：2024

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COVID-19 infection analysis framework using novel boosted CNNs and radiological images

基于新型增强型卷积神经网络和放射影像的COVID-19感染分析框架

期刊:Scientific Reports

影响因子:3.9

doi:10.1038/s41598-023-49218-7

Khan, Saddam Hussain; Alahmadi, Tahani Jaser; Alsahfi, Tariq; Alsadhan, Abeer Abdullah; Mazroa, Alanoud Al; Alkahtani, Hend Khalid; Albanyan, Abdullah; Sakr, Hesham A

炎症/感染

发表日期：2023

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Paraphrase detection for Urdu language text using fine-tune BiLSTM framework

使用微调的 BiLSTM 框架对乌尔都语文本进行释义检测

Enhancing registration accuracy and eminence of multispectral transmission breast images by fusing multi-wavelength gen using vision transformer and LSTM

利用视觉Transformer和LSTM融合多波长生成信息，提高多光谱透射乳腺图像的配准精度和清晰度。

Drug repurposing targeting COVID-19 3CL protease using molecular docking and machine learning regression approaches

利用分子对接和机器学习回归方法进行针对 COVID-19 3CL 蛋白酶的药物再利用

A novel decision ensemble framework: Attention-customized BiLSTM and XGBoost for speculative stock price forecasting

一种新颖的决策集成框架：基于注意力机制的双向长短期记忆网络（BiLSTM）和XGBoost算法用于投机性股票价格预测

TASCI: transformers for aspect-based sentiment analysis with contextual intent integration.

TASCI：基于方面、融合上下文意图的情感分析转换器

Brain Tumor MRI Classification Using a Novel Deep Residual and Regional CNN

基于新型深度残差和区域卷积神经网络的脑肿瘤MRI分类

Optimizing dual energy X-ray image enhancement using a novel hybrid fusion method

利用新型混合融合方法优化双能X射线图像增强

COVID-19 infection analysis framework using novel boosted CNNs and radiological images

基于新型增强型卷积神经网络和放射影像的COVID-19感染分析框架