svm PRAT: SVM-based Protein Residue Annotation Toolkit [PDF]
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
Using Support Vector Machine for Prediction Dynamic Voltage Collapse in an Actual Power System [PDF]
—This paper presents dynamic voltage collapse prediction on an actual power system using support vector machines. Dynamic voltage collapse prediction is first determined based on the PTSI calculated from information in dynamic simulation
Hussain, Aini +2 more
core
Progress and Prospects of Persistent Luminescent Nanocrystals in Biomedical Applications
This review summarizes recent progress in materials‐level control of persistent luminescence, including mechanistic understanding, wavelength/intensity tuning, and activation strategies, as well as emerging biomedical applications in imaging, biosensing, cell tracking, optogenetic stimulation, and biophotochemical activation.
Peng Pei +5 more
wiley +1 more source
Prediction and Simulation of cold rolled strip thickness based on PSO-SVM-AdaBoost [PDF]
Chen Liu, Xisheng Li, Jia You
openalex +1 more source
Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics
This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang +5 more
wiley +1 more source
Oil Spill Monitoring of Shipborne Radar Image Features Using SVM and Local Adaptive Threshold
In the case of marine accidents, monitoring marine oil spills can provide an important basis for identifying liabilities and assessing the damage. Shipborne radar can ensure large-scale, real-time monitoring, in all weather, with high-resolution.
Jin Xu +4 more
doaj +1 more source
Hybrid Fault Diagnosis Method based on Wavelet Packet Energy Spectrum and SSA-SVM [PDF]
Jinglei Qu +3 more
openalex +1 more source
Liquid Metal Sensors for Soft Robots
This review thoroughly reviews liquid metal sensors in soft robots. Their unique material properties like high conductivity and good biocompatibility are analyzed. Working principles are classified, and applications in environmental perception, motion detection, and human—robot interaction are introduced.
Qi Zhang +7 more
wiley +1 more source
Assessment of the Spectral Volume Method on inviscid and viscous flows [PDF]
The compact high-order "Spectral Volume Method" designed for conservation laws on unstructured grids is presented. Its spectral reconstruction is exposed briefly and its applications to the Euler equations are presented through several test cases to ...
Chikhaoui, Oussama +2 more
core
Fuzzy Least Squares Twin Support Vector Machines
Least Squares Twin Support Vector Machine (LST-SVM) has been shown to be an efficient and fast algorithm for binary classification. It combines the operating principles of Least Squares SVM (LS-SVM) and Twin SVM (T-SVM); it constructs two non-parallel ...
Afrabandpey, Homayun +2 more
core +1 more source

