Automatic generation of mesh diagrams. by Ronghua Meng (20978441)

“…Finite element and fatigue analyses are carried out for the key parameters of the structure, and deformation, fatigue and other data that appear in the actual operation process are obtained. …”

Summary of the metrics of the different trained algorithms that performed best in the Testing process for each dataset. by Jaime B. Matas-Bustos (21772430)

Machine learning prediction algorithm flow chart. by Ahmad M. Al-Omari (20460931)

Training process of HFKG-RFE algorithm. by Chunjuan Li (7890182)

“…<div><p>Federated learning ensures that data can be trained globally across clients without leaving the local environment, making it suitable for fields involving privacy data such as healthcare and finance. …”

Specific hyperparameters optimized for each non-ANN model in the Nested Grid Search process. by Ashutosh P. Raman (19825936)

Subjects:

Summary of the metrics of the different trained models foreach algorithm in each split for each dataset. by Jaime B. Matas-Bustos (21772430)

Summary of the metrics of the different trained algorithms based on mean and 95% confidence intervals (calculated using t-Student) for the Testing process in each dataset. by Jaime B. Matas-Bustos (21772430)

Mesh Division Schematic Diagram. by Nan Ru (9594384)

ML algorithms in cyber security. by Abdullah Asım Yılmaz (20715311)

State-of-the-Art Skin Disease Classification Using Ensemble Learning and Advanced Image Processing by Nirupama (22148684)

“…The Crayfish Optimization Algorithm with a Reverse Wheel Strategy is applied for an effective feature segmentation, where the most relevant features are segmented. …”

Research progress on anomaly target detection algorithms for hyperspectral imagery by Baozhi Cheng (22754994)

“…In particular, because anomaly target detection does not require any prior information, it has become one of the key technologies and research hotspots in HSI processing and information extraction. Through systematic sorting and analysis, this paper summarizes the existing anomaly target detection algorithms in detail, and evaluates the key issues involved in HSI-ATD, future technological development directions (such as deep learning, multimodal, and real-time processing, etc), as well as the problems existing in the algorithms. …”

Data for "Machine Learning-based Prediction of Passive Gears from Vessel Tracking Data in Small-Scale Multi-gear Fisheries" by Pamela Lattanzi (16454871)

Subjects: “…Artificial intelligence - Data processing…”

Algorithm process. by Wei Cui (92129)

The workflow diagram for the gene expression biomarker study which involve using principal component analysis (PCA) to reduce the number of features (principal components), thus re... by Aninda Astuti (21736334)

WGCNA and machine learning algorithms. by Shushu Wang (6870191)

Steps involved in genetic algorithm for feature selection. by Mohd Sakib (20565228)

Facial Expression Image Dataset for Computer Vision Algorithms by Ali Alameer (12549592)

The Search process of the genetic algorithm. by Wenguang Li (6528113)

Subjects:

Data Sheet 1_Person-based design and evaluation of MIA, a digital medical interview assistant for radiology.pdf by Kerstin Denecke (11534035)

The construction process of the FCM clustering algorithm. by Xini Fang (20861990)

Subjects: