Results 101 to 110 of about 16,703 (255)

Development of tool life prediction system for square end-mills based on database of servo motor current value

Journal of Advanced Mechanical Design, Systems, and Manufacturing
Accurate prediction of tool life is crucial for reducing production costs and enhancing quality in the machining process. However, such predictions often rely on empirical knowledge, which may limit inexperienced engineers to reliably obtain accurate ...
Hiroyuki KODAMA, Makoto SUZUKI, Kazuhito OHASHI   +2 more
doaj   +1 more source

Transforming Musculoskeletal Disorder Management With Multimodal AI Platform for Early Diagnosis, Self‐Screening, and Personalized Care

Med Research, EarlyView.
We developed a multimodal large language model‐enabled framework for the early detection, self‐screening, and personalized management of major musculoskeletal disorders, including osteoarthritis (OA), rheumatoid arthritis (RA), and osteoporosis (OP).
Pengyuan Xu, Guang Yang, Ge Zhang, Yafang Zhao, Pu Wan, Guiyun Zhou, Mengjie Jiang, Yixin Zhang, Zhaoyang Wang, Yichen Dai, Xiqing Zhao, Ziliang Fu, Ziyu Zheng, Ziyun Xu, Ruisi Dong, Xiaojie Xia, Duo Zhang, Yisheng He, Michael Moran, Qiguang Wang, Tim Woodfield, Khoon Lim, Tiantian Kong, Junnan Tang, Kang Tian, Kai Zhou, Hao Chi, Pengpeng Zhang, Jianhua Yang, Mingliang Zhang, Moyan Li, Yuan Cheng, Xiaolin Cui   +32 more
wiley   +1 more source

Study on Short Term Temperature Forecast Model in Jiangxi Province based on LightGBM Machine Learning Algorithm

Gaoyuan qixiang
In order to achieve further improvement in the forecast accuracy of station temperatures and enhance the forecast capability for extreme temperatures， this study establishes a 24-hour national station daily maximum （minimum） temperature forecast model ...
Kanghui SUN, An XIAO, Houjie XIA
doaj   +1 more source

Symbolic Regression‐Guided Feature Engineering for Predicting Magnetization in Cu‐Based Alloys Under Data‐Scarce Conditions

Materials Genome Engineering Advances, EarlyView.
A symbolic regression approach (SISSO) with physics‐informed feature engineering achieves high‐accuracy prediction of magnetic properties in Cu‐based alloys under data‐scarce conditions. The framework offers an interpretable and transferable strategy for accelerated alloy design.
Buyang Ma, Jiejie Li, Qiuju Zhang, Fenghua Chen, Bo Li, Ziqi Tian, Liang Chen   +6 more
wiley   +1 more source

When Fat Goes Astray: Your Liver and Pancreas Get Into Trouble

Portal Hypertension &Cirrhosis, EarlyView.
Metabolic dysfunction‐associated steatotic liver disease (MASLD) and intrapancreatic fat deposition (IPFD) are both common manifestations of ectopic fat accumulation. Although they share multiple risk factors, they also show notable differences in pathological features, standardization of diagnosis, and research maturity.
Yuying Chen, Li Ding, Shan Zhao, Weihong Wang, Jing Zhong, Qiang Yan   +5 more
wiley   +1 more source

LightGBM-Based Human Action Recognition Using Sensors

In recent years, research on human activity recognition (HAR) on smartphones has received extensive attention due to its portability. However, the discrimination issues between similar activities such as leaning forward and walking forward, as well as ...
Yinuo Liu, Ziwei Chen
core   +1 more source

How AI and Digital Technologies Can Enhance Sustainable Livestock Manure Management: An Overview From Treatment to Distribution

Sustainable Development, EarlyView.
ABSTRACT Sustainable livestock manure management sits at the nexus of climate, nutrient circularity and water quality. This review explores how artificial intelligence (AI) and digital platforms are used across four management stages, that is, treatment, storage, valorisation and distribution, and figures out where integration fails to deliver ...
Zhan Shi, Feihong Liang, Francesco Marinello, Andrea Pezzuolo   +3 more
wiley   +1 more source

From Prediction to Prevention: An Explainable GeoAI Framework for Flood Susceptibility and Urban Exposure Assessment Using Machine and Deep Learning Models

Sustainable Development, EarlyView.
ABSTRACT Rapid urbanisation and intensifying rainfall have increased cities' vulnerability to flooding, posing major challenges to sustainable development. Although machine learning models have improved flood prediction accuracy, most remain limited by their black‐box nature and lack of actionable insights.
Abdulwaheed Tella, Izni Zahidi, Chow Ming Fai, Chukwuma Okolie, Quoc Bao Pham   +4 more
wiley   +1 more source

Predictive algorithms for supply chain management: a comprehensive approach to forecasting delivery times and managing risk

Journal of Modern Science
The article delves into the challenges of delivery time management in today's business landscape. The authors underscore the need for precise delivery time forecasts, a key factor in maintaining a competitive edge and meeting customer expectations.
Dariusz Woźniak, Michał Warszycki, Józef Stokłosa, Rafał Szrajnert, Robert Chmura   +4 more
doaj   +1 more source

Bath Vibration During Open Eye Formation in a Physical Model of a Steelmaking Ladle

steel research international, EarlyView.
Using a physical model, this study shows that vibration measurements reliably predict open eye size in steelmaking ladles, offering a practical alternative to visual monitoring. Vessel vibrations stabilize faster than the open eye, except at high frequencies near the bottom.
Mika Pylvänäinen, Juhani Nissilä, Ville‐Valtteri Visuri, Aki Sorsa, Matias Hauru, Jouni Laurila, Toni Liedes   +6 more
wiley   +1 more source