Titlebook: Intelligent Computing Systems; 4th International Sy Carlos Brito-Loeza,Anabel Martin-Gonzalez,Asad Saf Conference proceedings 2022 Springer

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Evaluation of Human Pose Estimation in 3D with Monocular Camera for Clinical Application,ver, it has not been accurately reported whether the use of these methodologies provides per joint plane of motion information within the range of error of clinical measurements (5º)..The purpose of this work was to select a method for estimating human posture in 3D with a monocular camera from the

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Capable of Classifying the Tuples with Wireless Attacks Detection Using Machine Learning,l of the paper was to attain the highest accuracy possible when creating a model that is capable of classifying the 4 attack types and detecting and classifying wireless attacks using Machine Learning models on the AWID3 dataset. One of the goals that supported this main objective was determining a

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Machine Vision-Based Expert System for Automated Skin Cancer Detection,tractors, i.e., the ABCD scoring method (asymmetry, border, color, diameter) and gray level co-occurrence matrix (GLCM), to extract cancer-affected areas. Finally, five different machine learning classifiers such as logistic regression (LR), decision tree (DT), k-nearest neighbors (KNN), support vec

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Toward Automatic Water Pollution Analysis: A Machine Learning Approach for Water-Quality Monitoringthe method to detect Fe 2 mg/1 L, 5 mg/L,10 mg/L polluted distilled water compared with other heavy metals (Al, Pb) pollution. The experimental results show that the classification used method has an accuracy greater than 90%.

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