Supplementary file 2_Machine learning provides reconnaissance-type estimates of carbon dioxide storage resources in oil and gas reservoirs.docx by Emil Attanasi (21188924)

“…ML algorithms are computationally efficient because they do not impose the strong assumptions on the data-generating process that standard statistical or engineering procedures require. …”

Supplementary materials for PhD thesis - "Ontology mapping with intelligent agents on the Semantic Web : the theory and practice of agent belief and consenus building" by Miklos Nagy (22007560)

“…<br><br>A series of algorithms have been developed in order to validate the proposed theory on how to approach domain independence in the ontology mapping process. …”

Spatial Analysis Reveals Targetable Macrophage-Mediated Mechanisms of Immune Evasion in Hepatocellular Carcinoma Minimal Residual Disease by Renumathy Dhanasekaran (14962092)

“…In this procedure, DNA-barcoded antibodies targeted tissue antigens and were visualized through iterative hybridization with complementary fluorescent DNA oligonucleotides. Our algorithmic pipeline processed the raw imaging data to segment and identify single cells, accurately localize them within tissues, and quantify their marker expressions. …”

Dataset for "Self-Supporting Shell Lattices: Explicit Design Method and Neural Accelerated Evolutionary Optimization" (Virtual and Physical Prototyping) by Haoran Hu (22579169)

“…The proposed optimization framework effectively mitigates the data dependency inherent in traditional machine-learning aided genetic algorithms, demonstrating strong potential for complex, high-dimensional optimization tasks.…”

Comparative analysis of clinical characteristics between ovarian cancer and ovarian cyst patients by Li (20568581)

“…This study aims to integrate serum biomarkers with clinical features to construct efficient diagnostic prediction models and staging prediction algorithms for ovarian cancer. This multidimensional prediction model has the potential to improve early diagnosis rates of ovarian cancer, optimize treatment decision-making processes, reduce unnecessary surgical interventions, and provide scientific basis for individualized treatment plans, ultimately improving patient prognosis and quality of life. …”

Table 1_Erannis jacobsoni disturbance detection based on unmanned aerial vehicle red edge spectral features.docx by Liga Bai (22156009)

“…This study aims to provide with rapid and precise pest occurrence data, enabling timely and effective control measures to preserve and enhance the agroforestry ecological environment. …”

Image 2_Erannis jacobsoni disturbance detection based on unmanned aerial vehicle red edge spectral features.jpg by Liga Bai (22156009)

“…This study aims to provide with rapid and precise pest occurrence data, enabling timely and effective control measures to preserve and enhance the agroforestry ecological environment. …”

Image 1_Erannis jacobsoni disturbance detection based on unmanned aerial vehicle red edge spectral features.jpg by Liga Bai (22156009)

“…This study aims to provide with rapid and precise pest occurrence data, enabling timely and effective control measures to preserve and enhance the agroforestry ecological environment. …”

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

“…<p dir="ltr">Electroencephalogram (EEG) data are commonly applied in the emotion recognition research area. …”

Image 1_Multi-omics integration analysis based on plasma circulating proteins reveals potential therapeutic targets for ulcerative colitis.pdf by Jihai Zhou (1876561)

“…This study aims to identify potential diagnostic and therapeutic biomarkers for UC through multi-omics integrative analysis, providing new insights into its precise diagnosis and treatment.</p>Methods<p>Data samples from the Gene Expression Omnibus database and protein quantitative trait loci data from genome-wide association studies were integrated to identify overlapping genes. …”

Table 1_Ensemble machine learning for predicting renal function decline in chronic kidney disease: development and external validation.docx by Hong Chen (108084)

“…Clinical, demographic, and laboratory data were processed with rigorous quality control. …”

Table 2_Identification and validation of pyroptosis-related genes in Alzheimer’s disease based on multi-transcriptome and machine learning.docx by Yuntai Wang (21356525)

“…Additionally, we validated the expression patterns of these key genes using the expression data from AD mice and constructed potential regulatory networks through time series and correlation analysis.…”

Table 1_Identification and validation of pyroptosis-related genes in Alzheimer’s disease based on multi-transcriptome and machine learning.xlsx by Yuntai Wang (21356525)

“…Additionally, we validated the expression patterns of these key genes using the expression data from AD mice and constructed potential regulatory networks through time series and correlation analysis.…”

Image 4_The evolution of artificial intelligence technology in non-alcoholic fatty liver disease.jpeg by Jiawen He (7828505)

“…Recent research trends indicate that deep learning algorithms and multimodal data fusion have become research hotspots in AI applications for NAFLD diagnosis and treatment. …”

Table 1_The evolution of artificial intelligence technology in non-alcoholic fatty liver disease.docx by Jiawen He (7828505)

“…Recent research trends indicate that deep learning algorithms and multimodal data fusion have become research hotspots in AI applications for NAFLD diagnosis and treatment. …”

Image 3_The evolution of artificial intelligence technology in non-alcoholic fatty liver disease.jpeg by Jiawen He (7828505)

“…Recent research trends indicate that deep learning algorithms and multimodal data fusion have become research hotspots in AI applications for NAFLD diagnosis and treatment. …”

Image 1_The evolution of artificial intelligence technology in non-alcoholic fatty liver disease.jpeg by Jiawen He (7828505)

“…Recent research trends indicate that deep learning algorithms and multimodal data fusion have become research hotspots in AI applications for NAFLD diagnosis and treatment. …”

Table 2_The evolution of artificial intelligence technology in non-alcoholic fatty liver disease.docx by Jiawen He (7828505)

“…Recent research trends indicate that deep learning algorithms and multimodal data fusion have become research hotspots in AI applications for NAFLD diagnosis and treatment. …”

Image 2_The evolution of artificial intelligence technology in non-alcoholic fatty liver disease.jpeg by Jiawen He (7828505)

“…Recent research trends indicate that deep learning algorithms and multimodal data fusion have become research hotspots in AI applications for NAFLD diagnosis and treatment. …”

Preprocessed GEFCom 2012 Wind Power Forecasting Dataset by Yuan Shi (22779782)

“…</p><p dir="ltr">This processed dataset is suitable for research and development in wind power forecasting models, offering a clean and standardized input for machine learning algorithms.…”