UAV-based inspection of wind turbine blade surface defects detection technology by TAN Xingguo, ZHANG Gaoming

“…With the increasing scale of wind turbines, the damage probability of blades is also increasing. Aiming at the problems of high cost and poor working environment of large-scale wind turbine blade defect detection, a wind turbine blade surface defect detection method based on UAV image acquisition and digital image processing is proposed in this paper. …”
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An Interpretability Method for Broken Wire Detection by Hailong Wu, Shaoqing Liu, Zhanghou Xu, Zhenshan Ji, Mengpeng Qian, Xiaolin Yuan, Yong Wang

“…Nevertheless, the black box problem of the model brings a new trust challenge, and it is difficult to determine the correctness of the model’s decision and whether it has any potential problems, so an interpretability study needed to be carried out. …”
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Development of a justification process for selecting alternative risk reduction measures by Pavlo Saik, Vitalii Tsopa, Olena Yavorska, Serhii Cheberiachko, Mariia Brezitska, Andrii Yavorskyi, Vasyl Lozynskyi, Vasyl Lozynskyi

“…An eleven-step risk management process was designed to determine alternative preventive measures, characterized by feedback loops that enable the selection of optimal risk reduction strategies.ResultsThis study presents algorithms for solving three types of decision-making problems regarding the selection of combinations of preventive measures from a defined set of alternatives. …”
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An Improved YOLOv9s Algorithm for Underwater Object Detection by Shize Zhou, Long Wang, Zhuoqun Chen, Hao Zheng, Zhihui Lin, Li He

“…Furthermore, we introduce the lightweight DySample operator to optimize feature recovery, enabling better adaptation to the complex characteristics of underwater targets. …”
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High-Fidelity Infrared Remote Sensing Image Generation Method Coupled with the Global Radiation Scattering Mechanism and Pix2PixGAN by Yue Li, Xiaorui Wang, Chao Zhang, Zhonggen Zhang, Fafa Ren

“…This model accurately characterizes the complex radiation field distribution and the image detail-feature mapping relationship from visible-to-infrared remote sensing. …”
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An improved Harris hawks optimizer with enhanced logarithmic spiral and dynamic factor and its application for predicting molten iron temperature in the blast furnace by Zhendong Liu, Yiming Fang, Le Liu, Shuidong Ma

“…Abstract In response to the problem of poor search performance and difficulty in escaping from the local optimum in the Harris hawks optimizer, an improved Harris hawks optimizer with enhanced logarithmic spiral and dynamic factor (IHHO‐ELSDF) is proposed in this paper. …”
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Nonmotor Symptoms Groups in Parkinson's Disease Patients: Results of a Pilot, Exploratory Study by Santiago Perez Lloret, Malco Rossi, Marcelo Merello, Olivier Rascol, Daniel P. Cardinali

“…Nonmotor symptoms (NMS) like neuropsychiatric symptoms, sleep disturbances or autonomic symptoms are a common feature of Parkinson's disease (PD). To explore the existence of groups of NMS and to relate them to PD characteristics, 71 idiopathic non-demented PD out-patients were recruited. …”
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Diagnostics and age-related evolution of Lennox–Gastaut syndrome. Management in diverse patient age periods by E. D. Belousova, S. G. Burd, N. A. Ermolenko, K. Yu. Mukhin

“…Herein, an effective patient management requires not only seizure control, but also improvement of patient's quality of life by influencing cognitive and behavioral issues, sleep disorders, disability (both physical and social), educational problems and employment.…”
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Heavy Metals Accumulation in Plants During Coal Mine Reclamation by Maria A. Osintseva, Evgenia A. Dyukova, Ekaterina G. Ulyanova, Alexey M. Osintsev

“…Reclamation solves environmental problems caused by opencast coal mining. Soil contamination with heavy metals is a major problem in restoring the ecosystem of disturbed lands. …”
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Implementation of Soft Computing Techniques in Forecasting Compressive Strength and Permeability of Pervious Concrete Blended with Ground Granulated Blast-furnace Slag by Boddu Sudhir Kumar, Kakara Srikanth, Tammali Eeshwar

“…However, pervious concrete has limited applications due to its lower strength properties, which are attributed to its mix proportions featuring minimal fine aggregate quantities and an open-graded mix. …”
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Enhancing geometric modeling in convolutional neural networks: limit deformable convolution by Wei Wang, Yuanze Meng, Han Li, Guiyong Chang, Shun Li, Chenghong Zhang

“…Abstract Convolutional neural networks (CNNs) are constrained in their capacity to model geometric transformations due to their fixed geometric structure. To overcome this problem, researchers introduce deformable convolution, which allows the convolution kernel to be deformable on the feature map. …”
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Fault diagnosis method for rolling bearings based on CWT-IDenseNet by Guangfei JIA, Hanwen LIANG, Jinqiu YANG, Zhe WU, Yuxin HAN

“…The SRM focused on the weight of feature channels, while CBAM enhanced the feature expression ability from the two dimensions of channel and space. …”
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Delta-Adjust: Minimum Distance Interpolation by Ziad F. Doughan, Sari S. Itani

“…We present Delta-Adjust, a novel interpolation method that extends local neighborhood interpolation techniques by introducing per-feature neighbor selection and feature-vector difference bias adjustment. …”
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Legg – Calve – Perthes disease: Modification of the experimental design and its morphological criteria by A. V. Sertakova, V. Yu. Ulyanov, D. D. Sadchikov

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A TEI Customization for Writing TEI Customizations by Syd Bauman

“…A schema, in general, is intended to be used to check a document for errors before those errors cause problems in processing. However, schemas can also help us write our documents. …”
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Nonlinear Vibration and Post-Buckling Behaviors of Metal and FGM Pipes Transporting Heavy Crude Oil by Kamran Foroutan, Farshid Torabi, Arth Pradeep Patel

“…Conventional pipelines frequently face serious problems such as extreme weather, pressure changes, corrosion, and stress-induced pipe bursts. …”
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Fault Diagnosis under Variable Working Conditions Based on STFT and Transfer Deep Residual Network by Yan Du, Aiming Wang, Shuai Wang, Baomei He, Guoying Meng

“…However, fault diagnosis under variable working conditions has been a significant challenge due to the domain discrepancy problem. This problem is also unavoidable in deep learning-based fault diagnosis methods. …”
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A Review of Research on Flight Delay Propagation: Current Situation and Prospect by N. Li, H. G. Yao

“…Studying delay propagation can block its propagation path and alleviate large-scale delay problems. This paper first systematically collects relevant academic literature from the past decade and constructs a co-occurrence keyword network to analyze and reveal the research hotspots in flight delay propagation. …”
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Domain-informed CNN architectures for downscaling regional wind forecasts by Alexander M. Campbell, Simon C. Warder, B. Bhaskaran, Matthew D. Piggott

“…The domain-informed AI architecture presented in this work seeks to address these problems by incorporating prior static fields directly into the model architecture. …”
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Cost Optimization for Logistics Services: A Simulation Approach to Delivery Alternatives by Farida Sihotang

“…In existing conditions, problems often arise, namely, goods do not reach customers according to the agreed time. …”
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