Results 21 to 30 of about 35,671 (228)
Forecasting Spare Parts Demand for Critical Rail Transit Vehicle Equipment Based on ARIMA-SVR Model
Chengshi guidao jiaotong yanjiu［Objective］ Accurately forecasting the demand for spare parts during critical rail transit vehicle equipment maintenance provides a foundation for scientific spare parts management and improves maintenance cost-efficiency.
WANG Yuelong, LIU Peng, YAO Weijun
doaj +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
Advanced Materials, EarlyView.This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Acta Informatica PragensiaStock forecasting is a complicated and daily challenge for investors because of the non-linearity of the market and the high volatility of financial assets such as stocks, bonds and other commodities.
Subba Reddy Thumu, Geethanjali Nellore
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Barekeng, 2022 The number of rainy days is a calculation of the rainy days that occur in one month. In recent years, there has been a decrease in rainy days in some parts of Indonesia.
Novi Puspita +2 more
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A Hybrid Computational Framework for PCF‐based SPR Sensor With Machine Learning and xAI
Advanced Materials Interfaces, EarlyView.A photonic crystal fiber‐based surface plasmon resonance (SPR) sensor integrating rectangular air holes along with conventional circular air holes achieves exceptional wavelength sensitivity of 15,000 nm/RIU across a broad refractive index range of 1.31–1.39. Integrated machine learning with explainable AI (xAI) models achieves high prediction accuracy
Mahabur Rahman Fahim +3 more
wiley +1 more source
Dissecting the Ecological Structure of Health and Disease in the Global Gut Microbiome
Advanced Science, EarlyView.We introduce Wiredancer, a framework that identifies three continuous ecological factors of the gut microbiota. These factors exhibit distinct patterns across health and disease, jointly capturing disrupted ecological stability and offering a new perspective for precision diagnostics and therapeutic strategies.
Baoyuan Zhu +19 more
wiley +1 more source
NAFLD‐related hepatocellular carcinoma: The growing challenge
Hepatology, EarlyView., 2022 Risk and protective factors for NAFLD‐related hepatocellular carcinoma Abstract Hepatocellular carcinoma (HCC) is a common cause of cancer‐related mortality and morbidity worldwide. With the obesity pandemic, NAFLD‐related HCC is contributing to the burden of disease exponentially.
Pir Ahmad Shah +2 more
wiley +1 more source
İstanbul Medical Journal, 2023 Introduction:Chronic hepatitis C virus (HCV) infection is one of the important causes of liver cancer and cirrhosis all over the worldwide.Methods:The data of the patients diagnosed with chronic hepatitis C infection who applied to the Adult Infectious ...
Umut Devrim Binay +3 more
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An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
Advanced Science, EarlyView.This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
Predicting of swelling-shrinking level of expansive soil using support vector regression
Zhongguo dizhi zaihai yu fangzhi xuebao, 2021 Level scaling of expansive soil is of significant importance in practical engineering. In this study, a support vector regression (SVR)-based predicting model of expansive soil level was proposed.
Suhua ZHOU +4 more
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