Table 1_Development of a prognostic prediction model and visualization system for autologous costal cartilage rhinoplasty: an automated machine learning approach.docx by Aihemaitijiang Niyazi (22355542)

“…We proposed an improved metaheuristic algorithm (INPDOA) for AutoML optimization, validated against 12 CEC2022 benchmark functions. …”

Table 1_Incorporating genotype information in a precise prediction model for platinum sensitivity in epithelial ovarian cancer.docx by Nai-Yi Du (20516537)

“…Objective<p>Develop a predicting model that can help stratify patients with epithelial ovarian cancer (EOC) before platinum-based chemotherapy.…”

Data Sheet 1_Videos in short video sharing platforms as a source of information on bipolar disorder: a cross-sectional content analysis study.zip by Xin Qi (177590)

“…It is suggested to improve the platform management, creator training, and algorithm optimization, so as to promote the improvement of public mental health literacy.…”

Supplementary file 3_Optimising the selection of welfare indicators in farm animals.docx by Jon Day (19128586)

“…The enhanced algorithm identified globally optimal combinations within 0.2 s for all species, regardless of problem size. …”

Supplementary file 2_Optimising the selection of welfare indicators in farm animals.docx by Jon Day (19128586)

“…The enhanced algorithm identified globally optimal combinations within 0.2 s for all species, regardless of problem size. …”

Supplementary file 6_Optimising the selection of welfare indicators in farm animals.docx by Jon Day (19128586)

“…The enhanced algorithm identified globally optimal combinations within 0.2 s for all species, regardless of problem size. …”

Supplementary file 1_Optimising the selection of welfare indicators in farm animals.docx by Jon Day (19128586)

“…The enhanced algorithm identified globally optimal combinations within 0.2 s for all species, regardless of problem size. …”

Supplementary file 4_Optimising the selection of welfare indicators in farm animals.docx by Jon Day (19128586)

“…The enhanced algorithm identified globally optimal combinations within 0.2 s for all species, regardless of problem size. …”

Supplementary file 5_Optimising the selection of welfare indicators in farm animals.docx by Jon Day (19128586)

“…The enhanced algorithm identified globally optimal combinations within 0.2 s for all species, regardless of problem size. …”

Study timeline. by Wai Yan Min Htike (20442333)

“…<div><p>Objective</p><p>This study will evaluate the feasibility and preliminary effectiveness of the COACH (Community Health Worker Optimization of Antihypertensive Care in HIV) intervention, which integrates hypertension management into existing HIV care for people living with HIV (PLWH) in Tanzania.…”

Classification table of provincial-level regions. by Mingming Zhai (602162)

“…<div><p>Objective</p><p>To quantitatively evaluate the drug regulatory capacity in China, aiming to optimize the drug regulatory system, precisely enhance local regulatory effectiveness, and reduce regional regulatory disparities.…”

Efficient Distributed Learning over Decentralized Networks with Convoluted Support Vector Machine by Canyi Chen (13532043)

“…First, we demonstrate that our generalized ADMM algorithm achieves linear convergence with a straightforward implementation. …”

Table 1_Effectiveness of deep neural networks in hearing aids for improving signal-to-noise ratio, speech recognition, and listener preference in background noise.docx by Matthew B. Fitzgerald (11526808)

“…</p>Results<p>Significant improvements in SPIN performance were observed on CNC+5, QuickSIN, and WIN, but not NST+5, likely due to the use of speech-shaped noise in the latter, suggesting the algorithm is optimized for multi-talker babble environments. …”

<b>Assessing human and environmental impacts on forest coverage in historical relic sites using XGBoost</b> by Jinlong Chen (20554607)

“…It uses a combination of exact and approximate algorithms to efficiently identify optimal split points, even with large datasets. …”

Table 4_Integration of single-cell and bulk RNA-seq via machine learning to reveal ferroptosis- and lipid metabolism-driven immune landscape heterogeneity and predict immunotherapy... by Weifeng Wang (83822)

“…Objective<p>This study explored the interactions between ferroptosis and lipid metabolism in colon cancer, established a prognostic model to elucidate immune microenvironment heterogeneity, and evaluated the prospects of immunotherapy.…”

Image 10_Integration of single-cell and bulk RNA-seq via machine learning to reveal ferroptosis- and lipid metabolism-driven immune landscape heterogeneity and predict immunotherap... by Weifeng Wang (83822)

“…Objective<p>This study explored the interactions between ferroptosis and lipid metabolism in colon cancer, established a prognostic model to elucidate immune microenvironment heterogeneity, and evaluated the prospects of immunotherapy.…”

Table 6_Integration of single-cell and bulk RNA-seq via machine learning to reveal ferroptosis- and lipid metabolism-driven immune landscape heterogeneity and predict immunotherapy... by Weifeng Wang (83822)

“…Objective<p>This study explored the interactions between ferroptosis and lipid metabolism in colon cancer, established a prognostic model to elucidate immune microenvironment heterogeneity, and evaluated the prospects of immunotherapy.…”

Table 13_Integration of single-cell and bulk RNA-seq via machine learning to reveal ferroptosis- and lipid metabolism-driven immune landscape heterogeneity and predict immunotherap... by Weifeng Wang (83822)

“…Objective<p>This study explored the interactions between ferroptosis and lipid metabolism in colon cancer, established a prognostic model to elucidate immune microenvironment heterogeneity, and evaluated the prospects of immunotherapy.…”

Image 5_Integration of single-cell and bulk RNA-seq via machine learning to reveal ferroptosis- and lipid metabolism-driven immune landscape heterogeneity and predict immunotherapy... by Weifeng Wang (83822)

“…Objective<p>This study explored the interactions between ferroptosis and lipid metabolism in colon cancer, established a prognostic model to elucidate immune microenvironment heterogeneity, and evaluated the prospects of immunotherapy.…”

Image 3_Integration of single-cell and bulk RNA-seq via machine learning to reveal ferroptosis- and lipid metabolism-driven immune landscape heterogeneity and predict immunotherapy... by Weifeng Wang (83822)

“…Objective<p>This study explored the interactions between ferroptosis and lipid metabolism in colon cancer, established a prognostic model to elucidate immune microenvironment heterogeneity, and evaluated the prospects of immunotherapy.…”