Results 81 to 90 of about 231,481 (278)

AI + Drawing Enhances the Efficiency of Human Anatomy Education

Clinical Anatomy, EarlyView.
ABSTRACT Human anatomy is a fundamental core course in medical education, and its teaching effectiveness directly influences students' understanding and application of medical knowledge. However, traditional anatomy instruction often faces challenges such as limited teaching resources and the high cognitive difficulty students experience.
Fangfang Zhou, Yi Yang, Jiayou Liu, Xiaohua Zhu   +3 more
wiley   +1 more source

Innovations in microsurgery: The role of non‐invasive blood perfusion imaging—A review and framework

Clinical Advances in Periodontics, EarlyView.
Abstract Background This review evaluates current literature on non‐invasive blood perfusion imaging in periodontology, with a focus on applications in periodontal microsurgery. Methods A hypothesis‐building review was conducted by two reviewers from January 2022 to April 2025 across multiple databases. Results Laser speckle contrast imaging (LSCI) and
Amanda B. Rodriguez, Oliver D. Kripfgans, Diego Velasquez, Hsun‐Liang Chan   +3 more
wiley   +1 more source

A review on rockburst prediction and prevention to shape an ontology‐based framework for better decision‐making for underground excavations

Deep Underground Science and Engineering, EarlyView.
A scientometric analysis of 2449 journal articles and a comprehensive review of 336 papers were conducted, discussing and identifying challenges and research gaps in rockburst prediction and prevention and proposing an ontology‐based framework for better decision‐making in underground excavations. Abstract With underground engineering projects becoming
Hongchuan Yan, Haijiang Li, Hongqiang Xie, Mingli Xiao, Jianliang Pei, Huaizhong Liu, Jiangda He   +6 more
wiley   +1 more source

Real‐time lithology identification while drilling based on drill cuttings image analysis with ensemble learning

Deep Underground Science and Engineering, EarlyView.
A lithology identification while drilling method was developed, integrating an automated cuttings sampling system, a smart drilling rig, and an ensemble learning model. Underground trials achieved 97.42% accuracy in real‐time identification of cuttings lithology and composition, enhancing hazard management and supporting unmanned drilling technology in
Kun Li, Ting Ren, Ningping Yao, Jon Roberts, Haitao Song, Zhongbei Li, Xueqiu He, Liang Zhao   +7 more
wiley   +1 more source

Left atrial function in uraemic patients: Four‐dimensional automatic left atrial quantitative technology study

ESC Heart Failure, Volume 12, Issue 2, Page 1316-1325, April 2025.
Abstract Objective This study aimed to evaluate the utility of left atrial volume and function in uraemic patients using four‐dimensional automatic left atrial quantification (4D auto LAQ) technology. Methods Thirty‐four undialysed uraemic patients (U‐ND group), 60 dialysed uraemic patients (U‐D group), and 32 healthy volunteers (N group) were enrolled
Bing Li, Meihua Chen, Xuning Huang
wiley   +1 more source

Decoding epilepsy's molecular blueprint: Machine learning unravels transcriptomic subtypes and regulatory networks

Epilepsia, EarlyView.
Abstract Objective Drug‐resistant epilepsy (DRE) affects approximately one‐third of patients with epilepsy. The molecular heterogeneity underlying DRE remains poorly defined, largely due to limited access to resected brain tissue and substantial genetic diversity.
Yanping Weng, Yu Ma, Wanwan Hou, Haibo Li, Yuanfeng Zhou, Rui Zhao, Hao Li, Lian Chen, Yangyang Ma, Li Jin, Yi Wang, Yu An   +11 more
wiley   +1 more source

Probabilistic Multi‐Objective Energy Management System Model for an Energy Hub With PtG Technology for Cost Reduction and System Flexibility Improvement

Energy Science &Engineering, EarlyView.
Overview of the under‐study hub energy model showing the energy conversion and distribution among integrated sources and loads. ABSTRACT In this paper, a probabilistic bi‐objective energy management system (EMS) model is proposed for an energy hub (EH) equipped with renewable energy sources such as photovoltaic and wind turbine connected to the main ...
Mohammad Khoshabi, Mehrdad Ahmadi Kamarposhti, Mohsen Sedighi, Alireza Ghafouri   +3 more
wiley   +1 more source

Fuzzy process control and development of some models for fuzzy control charts

, 2021
136
openaire   +1 more source

A Hybrid Fuzzy–Support Vector Machine Framework for Real‐Time Dust Detection and Thermal Mapping in Photovoltaic Panels

Energy Science &Engineering, EarlyView.
A hybrid Fuzzy–SVM framework for real‐time dust detection and thermal mapping in PV panels. ABSTRACT Dust accumulation significantly degrades the energy output of photovoltaic (PV) panels, particularly in arid and semi‐arid regions. While existing studies have separately explored image‐based dust detection, environmental modeling, and machine learning (
Debasish Sarker, S. M. Rezaul Karim, MD. Shouquat Hossain, Md. Moshaddek Hossain, Md. Monirul Kabir   +4 more
wiley   +1 more source

Optimization of Energy Efficiency in Photovoltaic Water Pumping Systems Using Neural Networks

Energy Science &Engineering, EarlyView.
This study investigates an optimal control strategy for a photovoltaic (PV) water pumping system aimed at improving efficiency and autonomy in off‐grid applications. The system uses an induction motor with direct torque control and compares three maximum power point tracking (MPPT) techniques: neural network–based MPPT, Incremental Conductance (IC ...
Sihem Ghoudelbourk, Habib Benbouhenni, Z. M. S. Elbarbary, Mohamed Benidir   +3 more
wiley   +1 more source