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Machine learning modeling assists intelligent process analysis for high-performance virus filtration
A research team led by Prof. Wan Yinhua from the Institute of Process Engineering (IPE) of the Chinese Academy of Sciences ...
AlphaGalileo1d
Machine vision + deep learning: how to achieve fast and accurate fruit grading?
Dr. Muhammad Waqar Akram and his team from the Department of Farm Machinery and Power at University of Agriculture Faisalabad ...
Frontiers15d
Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China
SVM is a machine learning algorithm used to address binary classification problems (Zhang et al., 2013). It maps the original vectors into a higher-dimensional space and constructs a hyperplane with ...
IEEE23d
Classification of Arrhythmia Based on Machine Learning Algorithms Using ECG Signals
Automatic identification and classification of arrhythmia can improve the efficiency in the diagnosis process and improve the quality of treatment. Many machine learning models and deep learning ...
IEEE28d
Benchmarking Class Incremental Learning in Deep Learning Traffic Classification
Abstract: Traffic Classification (TC) is experiencing a renewed interest, fostered by the growing popularity of Deep Learning (DL) approaches. In exchange for their proved effectiveness, DL models are ...
Frontiers28d
Classification of neurodegenerative diseases using brain effective connectivity and machine learning techniques: a systematic review
We summarized the methods for EC feature extraction and selection, the application of classifiers, validation techniques, and the accuracy of the classification ... as the primary feature set for ...
C&EN28d
Exposome-Scale Investigation of Cl-/Br-Containing Chemicals Using High-Resolution Mass Spectrometry, Multistage Machine Learning, and Cloud Computing
Department of Chemistry, Faculty of Science, University of British Columbia, Vancouver Campus, 2036 Main Mall, Vancouver, British Columbia V6T 1Z1, Canada ...