Results 251 to 260 of about 212,260 (313)

Smart Sensor Network Architecture with Machine Learning-Based Predictive Monitoring for High-Complexity Computed Tomography Systems. [PDF]

Sensors (Basel)
Pajaziti A, Statovci B.
europepmc   +1 more source

A Simplified Two‐Vector Approach for Common‐Mode Voltage Reduction in Model Predictive Control Drives of Permanent Magnet Synchronous Motor

Energy Science &Engineering, EarlyView.
In this study, a modified model predictive control scheme is proposed, in which a dedicated weighting factor is incorporated into the cost function to explicitly account for common‐mode voltage (CMV) effects during the control process. This modification leads to a significant reduction—up to 40%—in the magnitude of the generated CMV.
Javad Amini, Reza Roshanafekr
wiley   +1 more source

Predicting VNN resistance in European sea bass using machine learning on high dimensional low sample size data. [PDF]

Front Bioinform
Faldani G, Rossignolo E, Signor E, Longo A, Faggion S, Bargelloni L, Comin M, Pizzi C.   +7 more
europepmc   +1 more source

PMU‐Based Wide Area Monitoring With Machine Learning to Prevent Blackouts in Bangladesh Power System

Energy Science &Engineering, EarlyView.
A Unified Real‐time Dynamic State Measurements (URTDSM) system with PMU and Phasor Data Concentrator (PDC) deployment plan has been proposed to avoid blackout in the Bangladeshi power system. Machine learning has been used to process data from PMU to identify abnormal events. ABSTRACT The electrical power system must be trustworthy and secure enough to
Imi Bintey Fariha Rahman, Md. Minarul Islam, Md. Shahin Parvej, Abdul Hasib Chowdhury, Taha Selim Ustun, Kashem M. Muttaqi   +5 more
wiley   +1 more source

Healthcare Predictions: unmasking the strengths and weaknesses of AI models for vitamin D deficiency assessment. [PDF]

J Genet Eng Biotechnol
Al-Qerem A, Quddoura R, Issa A, Sbaih A.
europepmc   +1 more source

Graph Neural Network‐Based Prediction of Building Energy Consumption

Energy Science &Engineering, EarlyView.
A graph neural network that encodes a multi‐zone building as a graph accurately predicts hourly cooling and heating loads across three distinct climates, outperforming Random Forest and XGBoost baselines and serving as a fast surrogate to EnergyPlus simulations for scalable building energy management.
Ali Maboudi Reveshti, Jamal Dabbagh, Jhila Nasiri Reveshti, Karim Farajeyan Bonab, Farid Hosseini Mansoub   +4 more
wiley   +1 more source

Timing chirurgico nella sindrome da persistenza della cloaca

, 2009
Pavia SVM, Antonellini C, RUGGERI, GIOVANNI, DOMINI, MARCELLO, LIMA, MARIO   +4 more
core  

Comprehensive evaluation of gas-bearing properties in ultra-deep basement reservoirs based on an optimizable support vector machine. [PDF]

Sci Rep
Huang X, Tang J, Zhao J, Li J, Yin S, Feng S, Li H.   +6 more
europepmc   +1 more source

Mono‐dimensional, two‐dimensional and Doppler echocardiographic measurements in healthy Standardbred neonatal foals in the first 5 days of life

Equine Veterinary Journal, EarlyView.
Abstract Background Bodyweight, age and breed influence the echocardiographic assessment of foals. There are no echocardiographic studies in Standardbred neonatal foals. Objectives To describe echocardiographic values for selected variables, evaluate intra‐ and inter‐observer variability and assess cardiac changes in the first 5 days of life in healthy
Fernanda Timbó D'el Rey Dantas, Giulia Forni, Gayle Hallowell, Carolina Castagnetti, Laura Menchetti, Giovanni Romito, Aliai Lanci, Jole Mariella, Francesca Freccero   +8 more
wiley   +1 more source