Results 151 to 160 of about 350,996 (311)

Application of Support Vector Machines to Fault Diagnosis and Automated Repair

, 2000
In this paper we consider the benefits of applying modern machine learning techniques to the problem of Fault Diagnosis and Automated Repair. In the modern manufacturing environment, many aspects of the production line are logged automatically by various
Brown, H., Gammerman, A., Saunders, C., Donald, G.   +3 more
core  

A Skin‐Like Strain Sensor for Real‐Time Human Motion Detection

Advanced Functional Materials, EarlyView.
A skin‐like strain sensor with exceptional flexibility and breathability enables real‐time human motion detection. It offers continuous ECG monitoring and gesture recognition, ensuring high durability and comfort. This innovative design is ideal for wearable applications, combining reliable performance with seamless integration into dynamic ...
Shiqi Song, Zhe Li, Jingya Guo, Shuo Shi, Jian Fang, Xungai Wang   +5 more
wiley   +1 more source

Fault Classification of Reciprocating Compressor Based on Neural Networks and Support Vector Machines

Reciprocating compressors play a major part in many industrial systems and faults occurring in them can degrade performance, consume additional energy, cause severe damage to the machine and possibly even system shut-down.
Gu, Fengshou, Ball, Andrew, Ahmed, Mahmud, Abdusslam, S.A., Baqqar, Mabrouka   +4 more
core  

A computational analysis of optimization models for Support Vector Machines [PDF]

, 2012
Il presente lavoro di tesi consiste in un'analisi computazionale, condotta previa la necessaria implementazione software, del comportamento matematico del modello di ottimizzazione utilizzato dall'approccio delle Support Vector Machines. Tale valutazione
Petterle, Lucia
core  

Blood Biomarkers and Surface‐Enhanced Raman Spectroscopy for Gout: A Comprehensive Review

Advanced Functional Materials, EarlyView.
Schematic illustrating gout disease progression from asymptomatic hyperuricemia to chronic tophaceous disease, highlighting the limitations of conventional imaging and biochemical diagnostics and the potential of engineered SERS platforms for ultrasensitive blood‐based detection of urate‐related biomarkers across disease stages, with the color gradient
Isuri Perera, Chiranjeevi Kanike, Appurva Tiwari, Hongyan Wu, Larry D. Unsworth, Ben Bin Xu, Xuehua Zhang   +6 more
wiley   +1 more source

Performance Analysis of Simplification of Hyperplane Support Vector Machine

Dianxin kexue, 2015
Comparing with traditional support vector machine，hyperplane support vector machine （HPSVM）and hyperplane support vector machine for regression（HPSVMR）not only reduce the number of support vectors and calculation time but also have comparable accuracy ...
Hui Cheng, Jinglong Fang, Daquan Wang, Xingqi Wang   +3 more
doaj   +2 more sources

The Set Covering Machine

, 2002
We extend the classical algorithms of Valiant and Haussler for learning compact conjunctions and disjunctions of Boolean attributes to allow features that are constructed from the data and to allow a trade-off between accuracy and complexity.
Marchand, Mario, Shawe-Taylor, J., Mario Marchand, John Shawe-Taylor   +3 more
core  

Ultrasmall High‐Entropy Materials: Nanoscale Effects, Synthesis, and Mechanistic Insights

Advanced Functional Materials, EarlyView.
This review article focuses on sub‐10 nm high‐entropy materials that combine nanoscale design with complex compositions for next‐generation applications. ABSTRACT Ultrasmall high‐entropy nanomaterials (USHENMs, <10 nm) merge multicomponent chemistry with size‐dependent effects, forming a distinct class of materials with unprecedented properties.
Yueyue He, Wenbo Wang, Simon Schweidler, Yanjiao Ma, Ben Breitung, Torsten Brezesinski   +5 more
wiley   +1 more source

Breast Tumor Susceptibility to Chemotherapy via Support Vector Machines

, 2003
Support vector machines (SVMs), utilizing RNA signature measurements, were used to generate a classi er to distinguish breast cancer patients that are partial-responders to chemotherapy treatment, from patients that are nonresponders.
Mangasarian, Olvi, Fung, Glenn
core  

Low‐Profile, High‐Gain GRIN RF Lenses via Multi‐Material Vat Photopolymerization

Advanced Functional Materials, EarlyView.
We investigate the opportunity of leveraging multi‐material vat photopolymerization printing to manufacture intricate lenses exhibiting permittivity gradients that can increase signal gain in transmitted radiofrequency signals in the X‐ and Ku‐bands. Lenses produced with more distinct low‐loss materials (up to 5) can deliver an 18 dB signal gain with a
Lawrence Romangsuriat, Alexander Peraire‐Bueno, A. John Hart, Randall M. Erb   +3 more
wiley   +1 more source