10.2肺鳞状细胞癌.zip حسب Zhiwei Xv (19835028)

"…In our study, different ML algorithms including random forest, support vector machines, neural networks and deep learning models were used to construct predictive models for diagnosing lung cancer disease, treatment response and prognosis.…"

Table 1_Harnessing multi-omics and artificial intelligence: revolutionizing prognosis and treatment in hepatocellular carcinoma.docx حسب Zhen Wang (72451)

"…To identify distinct molecular subtypes, a multi-omics data integration approach was employed, utilizing 10 distinct clustering algorithms. …"

AI in Education حسب Shynggys Toktas (22633589)

"…In addition, it highlights potential risks and ethical challenges, including data privacy concerns, algorithmic bias, and the impact of generative AI tools on academic integrity.…"

Cringe - Emotional manipulation as a tool of political control in Albanian digital campaigns (2025) حسب Edlira Gugu (21793610)

"…All personal data processed in compliance with EU GDPR regulations.…"

Unveiling optimal SDG pathways: an innovative automated recommendation approach integrating graph pruning, intent graph, and attention mechanism حسب Qiang Wang (32383)

"…In addition, an Intent Graph models regional preferences across various attributes, bridging historical interactions with the RG and mitigating data sparsity. …"

Image 1_Immune-molecular nexus in reproductive disorders: mechanisms linking POI and RSA.pdf حسب Chen Chen (6544)

"…</p>Objective<p>This study aims to identify new central genes and potential therapeutic drugs for RSA and POI by integrating multi transcriptome data and machine learning algorithms.</p>Methods<p>This study utilized RNA sequencing data from patients with POI and RSA to identify key hub genes associated with these diseases. …"

Supplementary file 4_Diagnosis methods for pancreatic cancer with the technique of deep learning: a review and a meta-analysis.docx حسب Yuanbo Bi (22089683)

"…Inclusion criteria were studies involving PDAC patients, using deep learning algorithms for diagnosis evaluation, using histopathological results as the reference standard, and having sufficient data. …"

Supplementary file 3_Diagnosis methods for pancreatic cancer with the technique of deep learning: a review and a meta-analysis.xlsx حسب Yuanbo Bi (22089683)

"…Inclusion criteria were studies involving PDAC patients, using deep learning algorithms for diagnosis evaluation, using histopathological results as the reference standard, and having sufficient data. …"

Supplementary file 5_Diagnosis methods for pancreatic cancer with the technique of deep learning: a review and a meta-analysis.docx حسب Yuanbo Bi (22089683)

"…Inclusion criteria were studies involving PDAC patients, using deep learning algorithms for diagnosis evaluation, using histopathological results as the reference standard, and having sufficient data. …"

Supplementary file 2_Diagnosis methods for pancreatic cancer with the technique of deep learning: a review and a meta-analysis.docx حسب Yuanbo Bi (22089683)

"…Inclusion criteria were studies involving PDAC patients, using deep learning algorithms for diagnosis evaluation, using histopathological results as the reference standard, and having sufficient data. …"

Supplementary file 1_Diagnosis methods for pancreatic cancer with the technique of deep learning: a review and a meta-analysis.docx حسب Yuanbo Bi (22089683)

"…Inclusion criteria were studies involving PDAC patients, using deep learning algorithms for diagnosis evaluation, using histopathological results as the reference standard, and having sufficient data. …"

<b>MP-EVData: An AI-Augmented Dataset of Multi-Prototype Electric Vehicle Charging </b><b>Load Profile</b><b>s in China</b> حسب Runlong Liu (22030292)

"…Furthermore, the dataset is augmented with a parallel, high-fidelity synthetic dataset generated using advanced generative AI models to support data-intensive research. Technical validation reveals highly distinct daily, weekly, and annual temporal patterns across prototypes and demonstrates clear price-responsive charging behavior under time-of-use pricing. …"

Table 1_Strategies for bridge maintenance using BIM: an analysis of methodologies and tools.xlsx حسب Emilio Medrano-Sanchez (22449763)

"…Specifically, LiDAR and photogrammetry enabled sub-centimetre models; Convolutional Neural Networks (CNN) and You Only Look Once (YOLO) algorithms reached mean average precision up to 0.91 for crack detection. …"

<b>R</b><b>esidual</b> <b>GCB-Net</b>: Residual Graph Convolutional Broad Network on Emotion Recognition حسب Qilin Li (535447)

"…It can accurately reflect the emotional changes of the human body by applying graphical-based algorithms or models. EEG signals are nonlinear signals. …"

Table3_Integrating genomics and AI to uncover molecular targets for mRNA vaccine development in lupus nephritis.xlsx حسب Lisha Mou (151003)

"…Utilizing 12 machine learning algorithms, we developed 417 predictive models incorporating gene sets linked to key biological pathways, such as MTOR signaling, autophagy, Toll-like receptor, and adaptive immunity pathways. …"

Table14_Integrating genomics and AI to uncover molecular targets for mRNA vaccine development in lupus nephritis.xlsx حسب Lisha Mou (151003)

"…Utilizing 12 machine learning algorithms, we developed 417 predictive models incorporating gene sets linked to key biological pathways, such as MTOR signaling, autophagy, Toll-like receptor, and adaptive immunity pathways. …"

Table4_Integrating genomics and AI to uncover molecular targets for mRNA vaccine development in lupus nephritis.xlsx حسب Lisha Mou (151003)

"…Utilizing 12 machine learning algorithms, we developed 417 predictive models incorporating gene sets linked to key biological pathways, such as MTOR signaling, autophagy, Toll-like receptor, and adaptive immunity pathways. …"

Table1_Integrating genomics and AI to uncover molecular targets for mRNA vaccine development in lupus nephritis.xlsx حسب Lisha Mou (151003)

"…Utilizing 12 machine learning algorithms, we developed 417 predictive models incorporating gene sets linked to key biological pathways, such as MTOR signaling, autophagy, Toll-like receptor, and adaptive immunity pathways. …"

Table2_Integrating genomics and AI to uncover molecular targets for mRNA vaccine development in lupus nephritis.xlsx حسب Lisha Mou (151003)

"…Utilizing 12 machine learning algorithms, we developed 417 predictive models incorporating gene sets linked to key biological pathways, such as MTOR signaling, autophagy, Toll-like receptor, and adaptive immunity pathways. …"

Image6_Integrating genomics and AI to uncover molecular targets for mRNA vaccine development in lupus nephritis.tif حسب Lisha Mou (151003)

"…Utilizing 12 machine learning algorithms, we developed 417 predictive models incorporating gene sets linked to key biological pathways, such as MTOR signaling, autophagy, Toll-like receptor, and adaptive immunity pathways. …"