Design and Development of a Public AI Referee Assistance System Based on Harmony OS Platform by Jingjing Zhao, Chang Zhu, Bo Leng, Jiantao Qi

“…In this sense, one AI referee assistance system is a small-scale system developed under the guidance of computer vision theory and technology, using deep learning-based object detection algorithms and computer graphics-related knowledge. …”
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Development of OCR Service for Page-Level Recognition for Camera-Captured Document Images by Junyoung Park, Wonjun Kang, Seonji Park, Keuntek Lee, Hyung Il Koo, Nam Ik Cho

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Monoclonal antibody development and antigenic epitope identification of chicken pro-IL-1β by Mengmeng Xu, Mengmeng Huang, Guodong WANG, Jingzhe HAN, Xinxin NIU, Jinze HAN, Hangbo YU, Yulong ZHANG, Runhang LIU, Ziwen WU, Hongyu Cui, Yanping Zhang, Suyan Wang, Yongzhen Liu, Yuntong Chen, Yulu Duan, Liuan Li, Yulong Gao, Xiaole Qi

“…Pro-IL-1β is an important inflammatory factor and is also a biomarker for detecting early pro-inflammatory immune responses. …”
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Development of Visual Loop-Mediated Isothermal Amplification Assays for Foodborne Hepatitis A Virus by Tongcan An, Mengyuan Song, Xiang Li, Yingjie Pan, Yong Zhao, Haiquan Liu

“…(1) Background: There are many cases of human disease caused by the hepatitis A virus contamination of aquatic products, so the development of the rapid detection of hepatitis A virus in aquatic products is crucial. (2) Methods: In this study, we developed three visual loop-mediated isothermal amplification methods for the rapid and intuitive detection of hepatitis A virus in aquatic products. …”
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Development of a Portable Electro-mechanical Crack Monitoring Device for Pipeline Steel Materials by Oyewole Adedipe, Chinedu Johnpaul Manulu, Joseph Abutu, Uzoma Gregory Okoro, Sunday Albert Lawal, Jonathan Yisa Jiya

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Oil Development Engineering Company, Tehran, Iran by Seyed Ali Mohammad Tajalli, Mazda Moattari, Vahid Naghavi, Mohammad Reza Salehizadeh

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SOFTWARE RISK TAXONOMY CREATION BASED ON THE COMPREHENSIVE DEVELOPMENT PROCESSES by M. Lyashkevych, I. Rohatskyi, V. Lyashkevych, Roman Shuvar

Subjects: “…software development risks…”
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Development of an Open GPR Dataset for Enhanced Bridge Deck Inspection by Da Hu

“…This study investigates YOLO-based deep learning models for automated rebar detection using a combination of real and synthetic GPR data. …”
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Development and Validation of a Suite of E-Probes for Electronic Diagnostic Nucleic Acid Analysis (EDNA) for 20 Graft-Transmissible Pathogens of Citrus Using MiFi and Blind Ring Te... by D. M. Nascimento, S. Bodaghi, H. Wang, M. R. Ribeiro-Junior, R. Campos, T. Dang, F. Osman, J. Habiger, A. S. Espindola, G. Vidalakis, K. F. Cardwell

“…The success of these programs relies on the availability of reliable pathogen detection assays. We developed and validated a suite of electronic probes (e-probes) for Electronic Diagnostic Nucleic Acid Analysis (EDNA) to detect 20 citrus pathogens, including viroids, viruses, and bacteria, from raw high-throughput sequencing data. …”
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Development of a New Generation MWCNT/TiO2/TiO2‐Based Voltammetric Sensors for the Detection of Daptomycin in Soil and Different Water Samples by Nida Aydogdu Ozdogan, Ersin Demir, Sibel A. Ozkan

“…In this work, electrochemical method was advanced with a glassy carbon electrode (GCE) and newly developed multi‐walled carbon nanotubes/titanium dioxide nanoparticles/titanium dioxide nanoparticles modified GCE (MWCNT/TiO2/TiO2/GCE) for the daptomycin detection using adsorptive stripping differential pulse voltammetry. …”
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Advanced Plant Phenotyping Technologies for Enhanced Detection and Mode of Action Analysis of Herbicide Damage Management by Zhongzhong Niu, Xuan Li, Tianzhang Zhao, Zhiyuan Chen, Jian Jin

“…However, the field now faces critical challenges, including stagnation in the discovery of new herbicide modes of action (MOAs) and the escalating prevalence of herbicide-resistant weed populations. High research and development costs, coupled with stringent regulatory hurdles, have impeded the introduction of novel herbicides, while the widespread reliance on glyphosate-based systems has accelerated resistance development. …”
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Development of paper based colorimetric method using pigment from red dragon fruit for determination of Cu and Fe by Rimadani Pratiwi, Raspati Dewi Mulyaningsih, Aliya Nur Hasanah

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SegPhase: development of arrival time picking models for Japan’s seismic network using the hierarchical vision transformer by Shinya Katoh, Yoshihisa Iio, Hiromichi Nagao, Hiroshi Katao, Masayo Sawada, Kazuhide Tomisaka

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Development of an automatic integrated gene detection system for novel severe acute respiratory syndrome-related coronavirus (SARS-CoV2) by Yuchang Li, Jing Li, Ying Zhang, Lizhong Dai, Lin Li, Juan Liu, Sen Zhang, Xiaoyan Wu, Yi Hu, Chengfeng Qin, Tao Jiang, Xiaoping Kang

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On the Development of a Sense and Avoid System for Small Fixed-Wing UAV by Bruno M. B. Pedro, André C. Marta

“…This study presents the development of an affordable and efficient Sense and Avoid (S&A) system for small fixed-wing UAVs, typically under 25 kg and fly at speeds of up to 15 m/s. …”
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Development and validation of a deep learning system for detection of small bowel pathologies in capsule endoscopy: a pilot study in a Singapore institution by Bochao Jiang, Michael Dorosan, Justin Wen Hao Leong, Marcus Eng Hock Ong, Sean Shao Wei Lam, Tiing Leong Ang

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Land use changes and unsustainable development in the southern ranges of the Alborz ecosystem(case study: Darabad watershed by Razieh Barjandi, Hassan Esmaeilzadeh, Romina Sayyahnia

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STATE-OF-THE-ART OF MACHINE LEARNING IN NEURO DEVELOPMENT DISORDER: A SYSTEMATIC REVIEW by Lilian Yen Wei Lee, Ag Asri Ag Ibrahim, Rayner Alfred

Subjects: “…detection…”
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The Development of Rapid Test Strips for <i>Alexandrum tamarense</i> by Zhang Kang, Jiahang Mu, Junhua Fang, Changgong Zhang, Kefu Zhou

“…Therefore, establishing fast and reliable monitoring technology for <i>Alexandrium tamarense</i> is crucial. Developing effective detection and early warning systems for toxic red tides is of paramount importance. …”
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Development of an AI-Based Image Analysis Model for Verifying Partial Defects in Nuclear Fuel Assemblies by Seulah Kim, Dayun Park, Hyung-Joo Choi, Chulhee Min, Jaejoon Ahn

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