Results 101 to 110 of about 41,558 (198)

Sustainable Live Sound Monitoring and Classification System Enabled by a Triboelectric Nanogenerator and Machine Learning Techniques

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
A high‐performance Triboelectric Nanogenerator (TENG) acoustic sensor using polyimine/graphite polypropylene (PI/GP) was developed for real‐time, sustainable sound monitoring and classification. The self‐powered device delivers 25.67 μW output power, 92.7% accuracy with MobileNet V1, and powers a wireless transmission circuit, demonstrating dual ...
Majid Haji Bagheri, Araz Rajabi‐Abhari, Owen Gibbs, Pengcheng Xi, Asif Abdullah Khan, Fangzheng Huang, Md Soyaeb Hassan, Ning Yan, Dayan Ban   +8 more
wiley   +1 more source

AI language model applications for early diagnosis of childhood epilepsy based on unstructured first‐visit patient narratives: A cohort study

Epileptic Disorders, EarlyView.
Abstract Objective Language serves as an indispensable source of information for diagnosing epilepsy, and its computational analysis is increasingly explored. This study assessed – and compared – the diagnostic value of different language model applications in extracting information.
Jitse Loyens, Geertruida Slinger, Nynke Doornebal, Kees P. J. Braun, Eric van Diessen, Willem M. Otte   +5 more
wiley   +1 more source

Influence of Nanoparticles on Dielectric Properties of High‐Voltage Epoxy‐Based Nanocomposite Insulators: Simulation and Experimental Analysis

Energy Science &Engineering, EarlyView.
ABSTRACT There is a need to develop an improved insulating material that surpasses traditional insulators in terms of insulation and efficient operation under extreme weather conditions. Epoxy nanocomposites (NCs) have gained considerable attention due to their intrinsic material properties.
Abubakar Siddique, Muhammad Masood Khan, Waseem Aslam, Muhammad Usama Shahid, Khaled Saleem S. Alatawi, Mohammad R. Altimania, Ievgen Zaitsev, Hafiz Mudassir Munir   +7 more
wiley   +1 more source

Prediction of Gas–Liquid Two‐Phase Flow Pressure Wave in the Wellbore During the Re‐Production of Deep Gas Wells

Energy Science &Engineering, EarlyView.
Prediction of gas–liquid two‐phase flow pressure wave in the wellbore during the re‐production of deep gas wells. ABSTRACT The pressure of the tube at the wellhead is abruptly released during the opening of a high‐production gas well, causing pressure fluctuation and subjecting the tubing to extra stress.
Yushan Zheng, Shengli Chu, Sixi Zhang, Pengcheng Wang, Yanlong Li, Yinghua Jing, Bingcai Sun, Zhi Zhang, Jiawei Wang   +8 more
wiley   +1 more source

Novel Approach for Power Management‐Based NPC STATCOM for Grid‐Connected Photovoltaic Battery System

Energy Science &Engineering, EarlyView.
ABSTRACT The development of power quality control systems and methods is a credible step for the modernization of the power grid. In this context, this paper presents novel approaches for the control of power quality and voltage of the power grid using power converters connected to photovoltaic battery systems.
Kamel Sayahi, El Manaa Barhoumi, Belgacem Bouallegue, Faouzi Bacha   +3 more
wiley   +1 more source

Optimal Parameter Extraction of Three‐Diode Photovoltaic Model Using the Hybrid Golden Jackal Optimizer With Fitness Distance Balance Mechanism and Berndt‐Hall‐Hall‐Hausman Method

Energy Science &Engineering, EarlyView.
Optimal parameter extraction of three‐diode photovoltaic model using the hybrid golden jackal optimizer with fitness distance balance mechanism and Berndt‐Hall‐Hall‐Hausman method. ABSTRACT Accurate simulation and operation of photovoltaic (PV) systems depend on reliable extraction of model parameters from experimental data.
Muthuramalingam Lakshmanan, Chandrasekaran Kumar, Manoharan Premkumar, Ravichandran Sowmya   +3 more
wiley   +1 more source

Modeling and Forecasting Stochastic Seasonality: Are Seasonal Autoregressive Integrated Moving Average Models Always the Best Choice?

Journal of Forecasting, EarlyView.
ABSTRACT In this paper, we study models for stochastic seasonality and compare the well‐known SARIMA models to Seasonal Autoregressive Unit Root Moving Average (SARUMA) models. SARUMA models assume that the polynomial of the stationarizing differencing operator has roots on the unit circle at some seasonal frequencies, while SARIMA models impose roots ...
Evangelos E. Ioannidis, Sofia‐Eirini Nikolakakou   +1 more
wiley   +1 more source

Scaling‐Aware Rating of Poisson‐Limited Demand Forecasts

Journal of Forecasting, EarlyView.
ABSTRACT Forecast quality should be assessed in the context of what is possible in theory and what is reasonable to expect in practice. Often, one can identify an approximate upper bound to a probabilistic forecast's sharpness, which sets a lower, not necessarily achievable, limit to error metrics.
Malte C. Tichy, Illia Babounikau, Nikolas Wolke, Stefan Ulbrich, Michael Feindt   +4 more
wiley   +1 more source

An Interpretable Machine Learning Model for Predicting 5‐Year Survival in Breast Cancer Based on Integration of Proteomics and Clinical Data

iMetaMed, EarlyView.
This study first introduced Kolmogorov–Arnold Network (KAN) into the deep learning model for the integration of clinical and proteomics data in predicting 5‐year survival in breast cancer. The optimal predictive model with 13 key predictors demonstrated excellent predictive performance with strong accuracy, precision, and F1.
Zhixuan Wu, Shengnan Yao, Lingli Jin, Xue Wu, Rongrong Zhang, Ouchen Wang, Erjie Xia   +6 more
wiley   +1 more source

The “Zhang Xuefeng Effect”: Information Intervention and the College Admission Problem in China

International Studies of Economics, EarlyView.
ABSTRACT Information regarding the quality of colleges and labor‐market prospects of majors plays an important role in parents' and students' school‐choice decisions, particularly when these decisions are crucially relevant to the students' long‐run career choices and life earnings.
Yutong Huo, Yun Wang
wiley   +1 more source