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

An integrated complete-genome sequencing and systems biology approach to predict antimicrobial resistance genes in the virulent bacterial strains of Moraxella catarrhalis

采用全基因组测序和系统生物学方法预测卡他莫拉菌强毒菌株的抗菌素耐药基因

Bristy, Sadia Afrin; Hossain, Md Arju; Hasan, Md Imran; Mahmud, S M Hasan; Moni, Mohammad Ali; Rahman, Md Habibur

Microbial Shifts in Oral Submucous Fibrosis: Exploring the Role of Oral Microflora

口腔黏膜下纤维化中的微生物群变化:探索口腔微生物群的作用

Bagchi, Sudeshna; Pal, Mousumi; Rakshit, Anindita; Mahmud, S K Abdul; Mukherjee, Souma Shankar

AttBiomarker: unveiling preeclampsia biomarkers and molecular pathways through two-stage gene selection techniques and attention-based CNN with gene regulatory network analysis

AttBiomarker:通过两阶段基因选择技术和基于注意力机制的卷积神经网络结合基因调控网络分析揭示先兆子痫生物标志物和分子通路

Sarker, Sakib; Mahmud, S M Hasan; Hosen, Md Faruk; Michael Goh, Kah Ong; Shoombuatong, Watshara

Numerical optimization of Rb(2)AuScBr(6) and Rb(2)AuScCl(6)-based lead-free perovskite solar cells: device engineering and performance mapping

基于Rb₂AuScBr₆和Rb₂AuScCl₆的无铅钙钛矿太阳能电池的数值优化:器件工程和性能映射

Al-Amin, Md; Haque, A; Mahmud, S; Hossain, M M; Uddin, M M; Ali, M A

Leveraging a Meta-Learning Strategy to Advance the Accuracy of Neutralizing Antibodies against Dengue Virus Serotype Prediction

利用元学习策略提高登革病毒血清型预测中和抗体的准确性

Charoenkwan, Phasit; Pipattanaboon, Chonlatip; Schaduangrat, Nalini; Mahmud, S M Hasan; Shoombuatong, Watshara

XAI-ACSM: An Ensemble-Based Explainable Artificial Intelligence Framework for the Accurate Prediction of Anticancer Small Molecules

XAI-ACSM:一种基于集成学习的可解释人工智能框架,用于精确预测抗癌小分子

Schaduangrat, Nalini; Mookdarsanit, Pakpoom; Mahmud, S M Hasan; Kusonmano, Kanthida; Mookdarsanit, Lawankorn; Shoombuatong, Watshara

GRUATT-AVP: leveraging a novel attention-based gated recurrent unit to advance the accuracy of antiviral peptide prediction

GRUATT-AVP:利用一种新型的基于注意力机制的门控循环单元来提高抗病毒肽预测的准确性

Aziz, Md Tarek; Rupok, Abu Sufian; Mahmud, S M Hasan; Goh, Kah Ong Michael; Hosen, Md Faruk; Shoombuatong, Watshara; Nandi, Dip

AttBiLSTM_DE: enhancing anticancer peptide prediction using word embedding and an optimized attention-based BiLSTM framework

AttBiLSTM_DE:利用词嵌入和优化的基于注意力机制的双向长短期记忆网络框架增强抗癌肽预测

Juthy, Most Jebun Nahar; Mahmud, S M Hasan; Hosen, Md Faruk; Aktar, Mst Nargis; Goh, Kah Ong Michael; Shoombuatong, Watshara

BLSAM-TIP: Improved and robust identification of tyrosinase inhibitory peptides by integrating bidirectional LSTM with self-attention mechanism

BLSAM-TIP:通过整合双向LSTM和自注意力机制,改进并稳健地识别酪氨酸酶抑制肽。

Ahmed, Saeed; Schaduangrat, Nalini; Chumnanpuen, Pramote; Mahmud, S M Hasan; Goh, Kah Ong Michael; Shoombuatong, Watshara

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