Results 71 to 80 of about 1,480,093 (371)
EAI Endorsed Transactions on Energy Web, 2018 The early and accurate prediction of liver disease in patients is still a challenging task among medical practitioners even with latest advanced technologies. The support vector machines are widely used in medical domain.
D. Devikanniga, A. Ramu, A. Haldorai
semanticscholar +1 more source
Component Outage Estimation based on Support Vector Machine
, 2018 Predicting power system component outages in response to an imminent hurricane plays a major role in preevent planning and post-event recovery of the power system.
Eskandarpour, Rozhin, Khodaei, Amin
core +1 more source
On Using a Support Vector Machine in Learning Feed-Forward Control [PDF]
, 2001 For mechatronic motion systems, the performance increases significantly if, besides feedback control, also feed-forward control is used. This feed-forward part should contain the (stable part of the) inverse of the plant.
Kruif, Bas J. de, Vries, Theo J.A. de
core +4 more sources
The cochaperone BAG3 promotes the stabilization of p53 under heat stress conditions
FEBS Open Bio, EarlyView.Under heat stress, BAG3 translocates to the nucleus and forms a complex with Hsp70 and p53, thereby promoting p53 stabilization and enhancing its transcriptional activity. These findings suggest that BAG3 functions as a cochaperone that supports p53‐mediated stress responses in cooperation with Hsp70.
Ngoc Nguyen Thi Minh +2 more
wiley +1 more source
Economic event detection in company-specific news text [PDF]
, 2018 This paper presents a dataset and supervised classification approach for economic event detection in English news articles. Currently, the economic domain is lacking resources and methods for data-driven supervised event detection.
Hoste, Veronique +2 more
core +1 more source
Report on the 2nd MObility for Vesicle research in Europe (MOVE) symposium—2024
FEBS Open Bio, EarlyView.The 2nd MObility for Vesicle research in Europe (MOVE) Symposium in Belgrade brought over 280 attendees from 28 countries to advance extracellular vesicle (EV) research. Featuring keynotes, presentations, and industry sessions, it covered EV biogenesis, biomarkers, therapies, and manufacturing.
Dorival Mendes Rodrigues‐Junior +5 more
wiley +1 more source
Journal of Control Science and Engineering, 2014 In order to improve the performance prediction accuracy of hydraulic excavator, the regression least squares support vector machine is applied. First, the mathematical model of the regression least squares support vector machine is studied, and then the ...
Zhan-bo Chen
doaj +1 more source
Prediction of Chongqing's grain output based on support vector machine
Frontiers in Sustainable Food Systems, 2023 Scientific prediction of agricultural food production plays an essential role in stabilizing food supply. In order to improve the accuracy of grain yield prediction and reduce the error of grain yield prediction in Chongqing, this paper proposes a new ...
Jia Wang +3 more
doaj +1 more source
ICU‐EEG Pattern Detection by a Convolutional Neural Network
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Patients in the intensive care unit (ICU) often require continuous EEG (cEEG) monitoring due to the high risk of seizures and rhythmic and periodic patterns (RPPs). However, interpreting cEEG in real time is resource‐intensive and heavily relies on specialized expertise, which is not always available.
Giulio Degano +5 more
wiley +1 more source
Exploring Kernel Machines and Support Vector Machines: Principles, Techniques, and Future Directions
MathematicsThe kernel method is a tool that converts data to a kernel space where operation can be performed. When converted to a high-dimensional feature space by using kernel functions, the data samples are more likely to be linearly separable.
Ke-Lin Du +4 more
doaj +1 more source