A Deep Learning Method for Pneumoconiosis Staging on Chest X-Ray Under Label Noise by Wenjian Sun, Dongsheng Wu, Jiang Shen, Yang Luo, Hao Wang, Li Min, Chunbo Luo

“…For the samples in ‘confident’ subset, we specifically design a novel soft label relaxation learning strategy (SLRL) to mine the explicit features and overcome the overfitting problem caused by traditional one-hot labels. …”
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Generation of Dimensioned Floor Plans for a Given Boundary Layout by Pinki Pinki, Krishnendra Shekhawat, Dipam Goswami, Ujjwal Jain

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Combined single- and dual-energy CT workflow for dose calculation in radiotherapy by Hella Sand, Jens Edmund, Ane Appelt, Patrick Wohlfahrt, Vicki Trier Taasti, Laurids Østergaard Poulsen, Jimmi Søndergaard, Martin Skovmos Nielsen

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Detection of GenAI-produced and student-written C# code: A comparative study of classifier algorithms and code stylometry features by Adewuyi Adetayo Adegbite, Eduan Kotzé

“…This study tested the ability of six classifier algorithms to detect GenAI C# code and to distinguish it from C# code written by students at a South African university. …”
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ADS-YOLO: A Multi-Scale Feature Extraction Remote Sensing Image Object Detection Algorithm Based on Dilated Residuals by Jianying Li, Yajun Chen, Meiqi Niu, Wenhao Cai, Xiaoyang Qiu

“…To address these issues, we propose an algorithm for multi-scale feature extraction in remote sensing image detection using dilated residuals (ADS-YOLO). …”
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Improved YOLOv5s With Coordinate Attention for Small and Dense Object Detection From Optical Remote Sensing Images by Qinggang Wu, Yonglei Wu, Yang Li, Wei Huang

“…Experimental results on the NWPU VHR-10 dataset demonstrate that the proposed YOLOv5s method performs well compared with state-of-the-art algorithms.…”
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Efficacy of a Metal Artifact Reduction Algorithm in CBCT Images of Teeth With Ceramic Brackets With/Without Coated Archwires: An In Vitro Study by Parisa Soltani, Mariangela Cernera, Marzie Kachuie, Amirhossein Moaddabi, Mehran Khoramian, Gianrico Spagnuolo, Niccolò Giuseppe Armogida, Carlo Rengo

“…The skull was placed in a water container for soft tissue simulation during scanning. The images were reconstructed with and without the MAR algorithm, and imported to ImageJ software in DICOM format to calculate the contrast‐to‐noise ratio (CNR) at 15‐, 20‐, and 25‐mm distances from the tooth center. …”
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Multi-AUV Hunting Strategy Based on Regularized Competitor Model in Deep Reinforcement Learning by Yancheng Sui, Zhuo Wang, Guiqiang Bai, Hao Lu

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Safety belt wearing detection for electric aloft work based on EPSA-YOLOv5 by LI Yongfu, CHEN Libin, HUI Junwei, YUAN Runcong, CHAI Haokai

“…By improving the spatial pyramid pooling structure, the model detection accuracy was improved; on this basis, an improved algorithm based on Soft-NMS was proposed to reduce the detection of targets. …”
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Design of a liquid cooled battery thermal management system using neural networks, cheetah optimizer and salp swarm algorithm by Anjan Kumar, Laith Hussein Jasim, Padmanabha Vijaya, Dipak Patel, J. Gowrishankar, R. Sivaranjani, Ankur Srivastava, Mayank Kundlas, Sarbeswara Hota, Banafshe Hamidi

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Empirical Data-Driven Linear Model of a Swimming Robot Using the Complex Delay-Embedding DMD Technique by Mostafa Sayahkarajy, Hartmut Witte

“…This work proposes empirical kinematic control and data-driven modeling of a soft swimming robot. The robot comprises six serially connected segments that can individually bend with the segmental pneumatic artificial muscles. …”
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A novel interval valued bipolar fuzzy hypersoft topological structures for multi-attribute decision making in the renewable energy sector by Muhammad Imran Harl, Muhammad Saeed, Muhammad Haris Saeed, Muhammad Salman Habib, Seung-June Hwang

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Scalable FPGA Implementation of a Reliability-Based Direct Turbo Decoder for Short Block Codes by Senthil Murugan, Ramesh Bhakthavatchalu, Karthi Balasubramanian, B. Yamuna, Deepak Mishra, Sree Ranjani Rajendran

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Enhanced Multiphase Interleaved Boost Converter Interface for Grid-Connected PV Power System by Rasha Kassem, Nagwa F. Ibrahim, Mohamed Metwally Mahmoud, Abdulaziz Alkuhayli, Usama Khaled, Abderrahmane Beroual, Hedra Mahfouz Ibrahim Saleeb

“…This paper presents a new soft switching (SS) multiphase interleaved boost converter (MIBC) consisting of three boost converters (BCs) that operate rapidly and efficiently to charge a lithium-ion battery for photovoltaic (PV) power system applications. …”
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Applying computational intelligence to musical acoustics by Bożena KOSTEK

“…The presented research studies involved using artificial neural networks, rough set method, fuzzy logic, genetic algorithms and other soft computing techniques. The investigated problems are related to classification of musical instrument sounds, musical phrases recognition, intelligent music processing, computer control of classical pipe organ instruments, and quality assessment.…”
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High-Accuracy Parallel Neural Networks with Hard Constraints for a Mixed Stokes/Darcy Model by Zhulian Lu, Junyang Zhang, Xiaohong Zhu

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Magnetic Modeling of Magnetic Levitation Systems Based on a Fast Finite Difference Method by Yibo Wang, Wei Pang, Xianze Xu, Fengqiu Xu

“…An accurate magnetic force model is crucial for the high-precision control of magnetic levitation systems. Soft magnetic materials, renowned for their excellent magnetic properties, are commonly employed in these systems. …”
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A novel anthropometric method to accurately evaluate tissue deformation by Chongyang Ye, Xiaolu Li, Haiyan Song, Yu Shi, Ruixin Liang, Jun Zhang, Ka Po Lee, Zhaolong Chen, Beibei Zhou, Raymond Kai-Yu Tong, Kit-Lun Yick, Sun-Pui Ng, Joanne Yip

“…IntroductionBiomechanical imaging through body scanning can provide a more comprehensive understanding of the soft tissue deformation exerted by compression sportswear, which is crucial in sports science research and functional sportswear design. …”
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Extracting Knowledge From Scientific Texts on Patient-Derived Cancer Models Using Large Language Models: Algorithm Development and Validation Study by Jiarui Yao, Zinaida Perova, Tushar Mandloi, Elizabeth Lewis, Helen Parkinson, Guergana Savova

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Artificial intelligence algorithms for the diagnosis of signs of diabetic retinopathy, diabetic macular edema, age-related macular degeneration, vitreomacular interface abnormaliti... by E.A. Katalevskaya, A.Yu. Sizov, M.I. Tyurikov, Yu.V. Vladimirova

“…For fundus images analysis algorithms accuracy, sensitivity, specificity, AUROC were calculated for the following structures: microaneurysms, intraretinal hemorrhages, hard exudates, soft exudates, retinal and optic disc neovascularization, preretinal hemorrhages, epiretinal fibrosis, laser coagulates. …”
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