Results 31 to 40 of about 613,158 (317)
Comparative Analysis of SVM, XGBoost and Neural Network on Hate Speech Classification
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2021 In social media, it is found that hate speech is conveyed in the form of text, images and videos, as a result it can provoke certain people to do things that are against the law and harm other person. Therefore, it is necessary to make early detection of
Suwarno Liang
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Unbalanced load flow with hybrid wavelet transform and support vector machine based Error-Correcting Output Codes for power quality disturbances classification including wind energy [PDF]
, 2019 Purpose. The most common methods to designa multiclass classification consist to determine a set of binary classifiers and to combine them. In this paper support vector machine with Error-Correcting Output Codes (ECOC-SVM) classifier is proposed to ...
Bouktir, Tarek +2 more
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Sensors, 2020 Global Navigation Satellite System (GNSS) meaconing and spoofing are being considered as the key threats to the Safety-of-Life (SoL) applications that mostly rely upon the use of open service (OS) signals without signal or data-level protection. While a
Silvio Semanjski +3 more
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Cybernetics and Information Technologies, 2023 Age estimation from face images is one of the significant topics in the field of machine vision, which is of great interest to controlling age access and targeted marketing.
Al-Dujaili Mohammed Jawad +1 more
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GIScience & Remote Sensing, 2021 In the Grassland Natural Region (GNR) of southern Alberta, wetlands are relatively small-sized disconnected prairie pothole marshes, swamps, and shallow open water habitats often surrounded by grasslands, parkland forests, agricultural lands, and urban ...
Alex Okiemute Onojeghuo +4 more
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Accelerated Proximal Stochastic Dual Coordinate Ascent for Regularized Loss Minimization [PDF]
, 2013 We introduce a proximal version of the stochastic dual coordinate ascent method and show how to accelerate the method using an inner-outer iteration procedure. We analyze the runtime of the framework and obtain rates that improve state-of-the-art results
Shalev-Shwartz, Shai, Zhang, Tong
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Clustered Hybrid Wind Power Prediction Model Based on ARMA, PSO-SVM, and Clustering Methods
IEEE Access, 2020 Wind power prediction is the key technology to the safe dispatch and stable operation of power system with large-scale integration of wind power. In this work, based on the historical data of wind power, wind speed and temperature, the autoregressive ...
Yurong Wang, Dongchuan Wang, Yi Tang
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Enhancing Missing Data Imputation for Migrants Data: A Neutrosophic Set-Based Machine Learning Approach [PDF]
Neutrosophic Sets and SystemsThis study tackles the problem of missing data in migrant datasets by introducing a new framework that combines machine learning techniques with neutrosophic sets.
Doaa A. Abdo +3 more
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Hepatitis C Disease Detection Based on PCA–SVM Model
Hittite Journal of Science and Engineering, 2022 Hepatitis C is a liver disease caused by infection with the hepatitis C virus (HCV), which is transmitted through the blood. The disease can lead to diseases ranging from a mild form to serious lifelong illness.
Serdar Gündoğdu
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Deep Learning Approach Combining Sparse Autoencoder With SVM for Network Intrusion Detection
IEEE Access, 2018 Network intrusion detection systems (NIDSs) provide a better solution to network security than other traditional network defense technologies, such as firewall systems.
Majjed Al-Qatf +3 more
semanticscholar +1 more source