An automated platform to detect, assess, and quantify deterioration in concrete structures by Ibrahim Odeh, Behrouz Shafei

“…To move toward reducing inspection time, cost, and human error, the current study developed a deep convolutional neural network model tailored for detecting and quantifying deterioration in concrete structures. …”
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YOLO-HF: Early Detection of Home Fires Using YOLO by Bo Peng, Tae-Kook Kim

“…To address this, we developed a domestic-fire dataset and proposed YOLO-HF, an early home-fire detection model based on YOLOv5s. …”
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Scent detection dogs detect a species of hard tick, Dermacentor albipictus, with comparable accuracy and efficiency to traditional tick drag surveys by Troy Koser, Aimee Hurt, Laura Thompson, Alyson Courtemanch, Benjamin Wise, Paul Cross

“…Methods We used a series of indoor and in situ training simulations to teach scent detection dogs to recognize D. albipictus scent, distinguish tick scent from associated vegetation, and develop a cautious search pattern. …”
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dVP_FAM—development and evaluation of a transsectoral digital care platform for individuals with familial cancer risks: study protocol for a multi-centre, cluster-randomised, mixed... by K. Klein, F. Kendel, S. Schüürhuis, K. Neumann, C. Kowalski, P. Thomas, T. Reinhold, U. Felbor, S. Stegen, C. Schmid, N. Mehrhof, S. Asmussen, F. Diel, M.A. Feufel, D. Speiser

“…Abstract Background Individuals with a family history of cancer face an increased risk of developing breast and ovarian cancer. Up to 30% of the 70,000 annual breast cancer cases in Germany are associated with a familial cancer burden. …”
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Detection of Dental Anomalies in Digital Panoramic Images Using YOLO: A Next Generation Approach Based on Single Stage Detection Models by Uğur Şevik, Onur Mutlu

“…<b>Conclusions</b>: Validated through a rigorous dual-dataset and dual-expert process, the YOLOv11x model demonstrates its potential as an accurate and reliable tool for automated detection in pediatric panoramic radiographs. This work suggests that such AI-driven systems can serve as valuable assistive tools for clinicians by supporting diagnostic workflows and contributing to the consistent detection of common dental findings in pediatric patients.…”
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Foresight for Career Development by Anna Kononiuk, Anna Pajak, Alicja Eva Gudanowska, Andrzej Magruk, Eva Rollnik-Sadowska, Justyna Kozlowska, Anna Sacio-Szymanska

“…Exploring the future not only develops individual planning and adaptation skills, but also allows detecting and identifying upcoming trends. …”
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Comparison of bluetongue virus detection and quantitation methods in south India by Subhra Subhadra, Subrat Kumar, Veluvarthy VS Suryanarayana, Daggupati Sreenivasulu

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Improving Tiny Object Detection in Aerial Images with Yolov5 by Ahmed Sharba, Hussain Kanaan

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Burden of pulmonary tuberculosis and challenges related to tuberculosis detection in Ethiopia by Letebrhan Weldemhret

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Detection and quantification of Campylobacter spp. in Brazilian poultry processing plants by Karen A Borges, Isabel C Cisco, Thales Q Furian, Denise C Tedesco, Laura B Rodrigues, Vladimir P do Nascimento, Luciana R dos Santos

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Detection and quantification of Salmonella spp. in poultry slaughterhouses of southern Brazil by Karen Apellanis Borges, Eduarda Boff Martelo, Lilian Andriva dos Santos, Thales Quedi Furian, Isabel C Cisco, Luciane Manto, Luciana R dos Santos

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Molecular detection and phylogenetic analysis of Kenyan human bocavirus isolates by Dennis Misigo, Dufton Mwaengo, David Mburu

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Anomaly-Based Intrusion Detection System for the Internet of Medical Things by Eichie Franklin, Bernardi Pranggono

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Research on operating state reliability of roadside vehicle detection sensors by Bicheng Xu, Yanjun Liu, Xingpeng Xie

“…The advancement of information technology has facilitated the development of various types of roadside vehicle detection sensors. …”
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Electrochemical Sensor for Hydrogen Leakage Detection at Room Temperature by Gimi Aurelian Rîmbu, Lucian Pîslaru-Dănescu, George-Claudiu Zărnescu, Carmen Alina Ștefănescu, Mihai Iordoc, Aristofan Alexandru Teișanu, Gabriela Telipan

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A comprehensive review of direct, indirect, and AI-based detection methods for milk powder by Xiaodong Song, Song Shen, Guanjun Dong, Haohan Ding, Haohan Ding, Zhenqi Xie, Long Wang, Wenxu Cheng

“…In addition, this paper summarizes the development of milk powder quality detection in three main directions: first, the traditional chemical detection method to environmental protection indirect analysis technology; Secondly, the development direction of multidisciplinary comprehensive evaluation; Finally, there is the wider use of artificial intelligence (AI) and automation. …”
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Research Progress of Detection Technology of Viable Foodborne Pathogens by Tingyu LIU, Qingli DONG, Jiaming LI, Hongxiang GAN, Linlin XIAO, Xiaojie QIN

“…In recent years, there has been significant development in the detection of viable foodborne pathogens, which is more rapid, accurate, and sensitive than traditional cultures. …”
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Research progress of near infrared spectroscopy in condiments detection by YU Xinlei, ZHANG Jiahui, LIU Taiang, YIN Mingyu, WANG Xichang

“…The traditional detection methods for condiments have the disadvantages of time-consuming, high cost and destructive detection, while the near infrared spectroscopy（NIRS）is a fast, accurate, nondestructive and convenient method, which has been used in condiment industry. …”
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Nano-enabled biosensors in early detection of plant diseases by Ambika Chaturvedi, Deepti Tripathi, Rajiv Ranjan

“…This review focuses on the recent studies of various nanobiosensors development and their operation mechanism for pathogen detection. …”
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Diverse Dataset for Eyeglasses Detection: Extending the Flickr-Faces-HQ (FFHQ) Dataset by Dalius Matuzevičius

“…The extended dataset, which has been made publicly available, is expected to support future research and development in eyewear detection, contributing to advancements in facial analysis and related fields.…”
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