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Chapter and Conference Paper
EEG Channels Selection Based on BiLSTM and NSGAII
Emotion recognition work for EEG signals has become one of the most important measures for researchers to explore human-computer interaction work. However, the traditional emotion recognition approach utilizes...
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Chapter and Conference Paper
An Assembly Instruction Question Answering System Based on Knowledge Graph
Due to the widespread use of computers, assembly language is indispensable in operating computer software. Learning assembly language is particularly important. However, it requires strong logical and spatial ...
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Article
Open AccessAnalysis of factors associated with delayed diagnosis and treatment of testicular torsion in 1005 cases from Chongqing city, China: a cross-sectional study
This study aimed to investigate the clinical and social factors of delayed treatment for testicular torsion (TT) and to explore the risk factors of testicular excision in China. The clinical data of 1005 patie...
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Chapter
Electroencephalograph Automatic Diagnosis Based on Kernel Principal Angle
Electroencephalograph (EEG) is the most important method in diagnosis of brain diseases. Unfortunately, the doctor interprets EEG according to personal experiences, which results in over interpretation or inco...
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Chapter and Conference Paper
Online Support Vector Machines with Vectors Sieving Method
Support Vector Machines are finding application in pattern recognition, regression estimation, and operator inversion. To extend the using range, people have always been trying their best in finding online alg...
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Chapter and Conference Paper
Support Vector Machine Adaptive Control of Nonlinear Systems
Support vector machine is a new and promising technique for pattern classification and regression estimation. The training of support vector machine is characterized by a convex optimization problem, which inv...