Results 41 to 50 of about 125,053 (147)

svm PRAT: SVM-based Protein Residue Annotation Toolkit [PDF]

open access: yesBMC Bioinformatics, 2009
Over the last decade several prediction methods have been developed for determining the structural and functional properties of individual protein residues using sequence and sequence-derived information. Most of these methods are based on support vector machines as they provide accurate and generalizable prediction models.We present a general purpose ...
Kauffman Christopher   +2 more
openaire   +3 more sources

A WOA-based fault parameter mapping model for the secondary systems of intelligent substations

open access: yesZhejiang dianli
Currently, it is challenging to rapidly and precisely locate faults in the secondary systems of intelligent substations through manual analysis of extensive operational data, making it inadequate for meeting the high reliability requirements of smart ...
ZHENG Xiang   +5 more
doaj   +1 more source

An Accurate Method to Distinguish Between Stationary Human and Dog Targets Under Through-Wall Condition Using UWB Radar

open access: yesRemote Sensing, 2019
Research work on distinguishing humans from animals can help provide priority orders and optimize the distribution of resources in earthquake- or mining-related rescue missions.
Yangyang Ma   +6 more
doaj   +1 more source

Enhancing Review Processing in the Video Game Adaptation Domain through VADER and Rating-Based Labeling using SVM

open access: yesJurnal Sisfokom
The adaptation of video games into films or television series has increasingly become a prominent trend in the entertainment sector, often eliciting diverse reactions from audiences.
Danita Divka Sajmira   +2 more
doaj   +1 more source

Fully polarimetric synthetic aperture radar data classification using probabilistic and non-probabilistic kernel methods

open access: yesEuropean Journal of Remote Sensing, 2021
The data classification of fully polarimetric synthetic aperture radar (PolSAR) is one of the favourite topics in the remote sensing community. To date, a wide variety of algorithms have been utilized for PolSAR data classification, and among them kernel
Iman Khosravi   +3 more
doaj   +1 more source

A Comparative Study between SVM and Fuzzy Inference System for the Automatic Prediction of Sleep Stages and the Assessment of Sleep Quality

open access: yesEAI Endorsed Transactions on Pervasive Health and Technology, 2015
This paper compares two supervised learning algorithms for predicting the sleep stages based on the human brain activity. The first step of the presented work regards feature extraction from real human electroencephalography (EEG) data together with its ...
John Gialelis   +4 more
doaj   +1 more source

Characterization of Vermillion and Lipstick Using Thin-Layer Chromatography and Attenuated Total Reflectance-Fourier Transform Infrared Spectroscopy With Chemometrics

open access: yesArab Journal of Forensic Sciences & Forensic Medicine
The study employed Thin Layer Chromatography (TLC) and Attenuated Total Reflectance-Fourier Transform Infrared (ATR-FTIR) to analyze local brands of vermillion and lipstick samples.
Aishwarya P. V   +4 more
doaj   +1 more source

GNSS Spoofing Detection by Supervised Machine Learning with Validation on Real-World Meaconing and Spoofing Data—Part II

open access: yesSensors, 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
doaj   +1 more source

Adaptive zero velocity correction method for fiber optic inertial navigation system in coal mining roadheader

open access: yesMeitan kexue jishu
The fusion positioning of high-precision fiber-optic inertial navigation and high-precision position sensor is an effective method to realize the accurate positioning of coal mine roadway roadheader.
Qinghua MAO   +5 more
doaj   +1 more source

A Walk from 2-Norm SVM to 1-Norm SVM

open access: yes2009 Ninth IEEE International Conference on Data Mining, 2009
This paper studies how useful the standard 2-norm regularized SVM is in approximating the 1-norm SVM problem. To this end, we examine a general method that is based on iteratively re-weighting the features and solving a 2-norm optimization problem. The convergence rate of this method is unknown.
Kujala, J., Aho, T., Elomaa, T.
openaire   +2 more sources

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