Running time in the PPO process. by Yunhu Huang (21402795)

“…The first algorithm, EITO_E, is based on an expert system containing expert rules and a heuristic expert inference method. …”

A single Inception module structures the feature extraction process. by Hai Huang (140371)

Subjects:

(A) PPI network of Co-genes. (B-D) Three blue, green, and red gene clusters were obtained using k-means for Co-genes. (E) Processing PPI data for Co-genes using Cytoscape. (F) Analyzing PPI data for Co-genes using the Degree algorithm.... by Qingcong Zheng (11169094)

“…(B-D) Three blue, green, and red gene clusters were obtained using k-means for Co-genes. (E) Processing PPI data for Co-genes using Cytoscape. (F) Analyzing PPI data for Co-genes using the Degree algorithm. …”

<b>Real-Time Classroom Emotion Analysis Using Machine and Deep Learning for Enhanced Student Learning</b> by Prem Kumar Sholapurapu (21638282)

Subjects: “…Artificial intelligence -- Data processing…”

Data Sheet 1_Development of machine learning algorithms to predict viral load suppression among HIV patients in Conakry (Guinea).docx by Degninou Yehadji (3451511)

Comparison of algorithm performance aesults. by Chunjuan Li (7890182)

“…The security of data has always been a focus of public attention, and driven by this situation, knowledge graphs have begun to be combined with federated learning. …”

Identifying factors affecting driver takeover time and crash risk during the automated driving takeover process by Changshuai Wang (20544152)

Supplementary file 1_Optimizing quantum convolutional neural network architectures for arbitrary data dimension.pdf by Changwon Lee (20812727)

“…<p>Quantum convolutional neural networks (QCNNs) represent a promising approach in quantum machine learning, paving new directions for both quantum and classical data analysis. …”

Ablation comparison experimental data. by Tengfei Ma (597633)

“…<div><p>To address the limitations of the Zebra Optimization Algorithm (ZOA), including insufficient late-stage optimization search capability, susceptibility to local optima, slow convergence, and inadequate exploration, this paper proposes an enhanced Zebra Optimization Algorithm integrating opposition-based learning and a dynamic elite-pooling strategy (OP-ZOA: Opposition-Based Learning Dynamic Elite-Pooling Zebra Optimization Algorithm). he proposed search algorithm employs a good point set-elite opposition-based learning mechanism to initialize the population, enhancing diversity and facilitating escape from local optima. …”

DataSheet1_Applying neural network algorithms to ascertain reported experiences of violence in routine mental healthcare records and distributions of reports by diagnosis.pdf by Ava J. C. Mason (19571008)

“…</p>Discussion<p>We thus demonstrate the successful deployment of machine learning based NLP algorithms to ascertain important entities for outcome prediction in mental healthcare. …”

Calculation algorithm implementing the proposed model. by Landry Djopkop Kouanang (17131748)

Calculation algorithm implementing the proposed model. by Landry Djopkop Kouanang (17131748)

PI3K-Seeker: A Machine Learning-Powered Web Tool to Discover PI3K Inhibitors by Francisca Joseli Freitas de Sousa (22640155)

Subjects:

PI3K-Seeker: A Machine Learning-Powered Web Tool to Discover PI3K Inhibitors by Francisca Joseli Freitas de Sousa (22640155)

Subjects:

PI3K-Seeker: A Machine Learning-Powered Web Tool to Discover PI3K Inhibitors by Francisca Joseli Freitas de Sousa (22640155)

Subjects:

Patient timelines and progression results for available a) steroid prescriptions, b) radiology reports, and c) brain MRI scans. by Shreya Chappidi (18204121)

Subjects:

Box plot of ablation experiment data. by Tengfei Ma (597633)

“…<div><p>To address the limitations of the Zebra Optimization Algorithm (ZOA), including insufficient late-stage optimization search capability, susceptibility to local optima, slow convergence, and inadequate exploration, this paper proposes an enhanced Zebra Optimization Algorithm integrating opposition-based learning and a dynamic elite-pooling strategy (OP-ZOA: Opposition-Based Learning Dynamic Elite-Pooling Zebra Optimization Algorithm). he proposed search algorithm employs a good point set-elite opposition-based learning mechanism to initialize the population, enhancing diversity and facilitating escape from local optima. …”

Illustration of the data augmentation approaches used to train the U-Net. (a) Original patch (b) Horizontally flipped (c) Vertically flipped (d) Rotation by 90 degrees (e) Gaussian... by Youssef Arafat (21009293)

Data Sheet 7_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx by Xuehui Fan (10762662)

Data Sheet 2_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx by Xuehui Fan (10762662)