Results 191 to 200 of about 150,441 (331)

Detection of focal impaired awareness seizures using a biometric shirt

Epilepsia Open, EarlyView.
Abstract Objective In recent years, seizure detection using wearable technology has gained significant attention in research. Most studies, however, have focused on detecting generalized or focal to bilateral tonic–clonic seizures. This study evaluates the feasibility of using a biometric shirt to detect focal impaired awareness seizures (FIAS) by ...
Jérôme St‐Jean, Oumayma Gharbi, Dènahin Hinnoutondji Toffa, Thi Phuoc Yen Tran, Manon Robert, Dang Khoa Nguyen, Elie Bou Assi   +6 more
wiley   +1 more source

Interpretable Tree‐Based Models for Predicting Short‐Term Rockburst Risk Considering Multiple Factors

Energy Science &Engineering, EarlyView.
Interpretable tree‐based models integrate microseismic, geological, and mining indicators to predict short‐term rockburst risk. SHAP analysis reveals the dominant role of energy‐related features and clarifies nonlinear factor interactions, enabling transparent and reliable early‐warning in deep coal mines.
Shuai Chen, Linming Dou, Atao Li, Wu Cai, Lei Zhang   +4 more
wiley   +1 more source

Data-Driven Material Selection for Flexible Wearable Sensors Under Environmental Coupling Conditions. [PDF]

Sensors (Basel)
Lu Y, Lu Y, Kim M, Zhang H.
europepmc   +1 more source

Fault Detection and Classification in Five‐Level Reduced Device Count Multilevel Inverter Using Fuzzy Logic System

Energy Science &Engineering, EarlyView.
A fuzzy logic–based diagnostic framework for a reduced device count multilevel inverter to accurately detect and classify open‐circuit faults. ABSTRACT The reliable performance of multilevel inverters (MLIs) is critical to the advancement of power electronic systems used in renewable energy conversion, microgrid operation, and electric vehicle ...
Niraj Kumar Dewangan, Jeevan N. D., Krishna Kumar Gupta, Abhinandan Routray, Hani Vahedi   +4 more
wiley   +1 more source

A Closed‐Loop Human Resource Management Framework for Energy Efficiency: Integrating Predictive Optimization With Behavioral Implementation

Energy Science &Engineering, EarlyView.
The proposed framework operates as a continuous cycle: organizational data streams feed into predictive optimization, which generates energy efficiency targets. These targets are translated into behavioral directives through human resource management mechanisms.
Huang Juan, Aimi Binti Anuar
wiley   +1 more source

Daily Residential Natural Gas Demand Forecasting Using Machine Learning Regression: Comparative Evaluation With a Case Study in Qazvin Province, Iran

Energy Science &Engineering, EarlyView.
This graphical abstract summarizes the proposed framework for improving short‐term residential natural gas consumption forecasting by integrating a novel socioeconomic indicator, the subscription growth ratio (SGR), with conventional meteorological variables.
Ali Pirzad, Mostafa Khanzadi
wiley   +1 more source

Forecasting Thailand's mobility trends using Feature Engineered XGBoost for pandemic crisis movement management. [PDF]

PLoS One
Siraphatwongkorn A, Methiyothin T, Onuean K, Chinnasarn K, Onuean A, Ahn I, Rasmequan S.   +6 more
europepmc   +1 more source

XGBoost To Enhance Learner Performance Prediction

Computers and Education: Artificial Intelligence
Soukaina Hakkal, A. A. Lahcen
semanticscholar   +1 more source

Random Integrated Subdata Ensemble Method for Key Variable Selection in Rare Event Setting

Journal of Forecasting, EarlyView.
ABSTRACT We propose a general variable selection procedure to identify key input variables by applying elastic net regression to representative subdata in place of the full sample to select variables. We combine the lists of selected variables from each subdata through ensemble techniques, using the frequency of selecting the variable across different ...
Ching‐Chi Yang, Justin Deng, Lih‐Yuan Deng, Henry Horng‐Shing Lu   +3 more
wiley   +1 more source

Comparative analysis of tissue-specific anticancer peptide prediction models: ACP-Boost framework. [PDF]

Front Mol Biosci
Kang R, Yuan W, Tang M, Zhou H.
europepmc   +1 more source