A Coverage-Based Cooperative Detection Method for CDUAV: Insights from Prediction Error Pipeline Modeling by Jiong Li, Xianhai Feng, Yangchao He, Lei Shao

“…This framework incorporates the target HPR and the seeker detection FOV models, with an objective function defined for coverage optimization. …”
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Detection and prediction of real-world severe asthma phenotypes by application of machine learning to electronic health records by Mehmet Furkan Bağcı, MSc, Toan Do, MD, Samantha R. Spierling Bagsic, PhD, Rahul F. Gomez, MD, Judy H. Jun, MD, Anna L. Ritko, MA, MPhil, Sally E. Wenzel, MD, Truong Nguyen, PhD, Yusuf Öztürk, PhD, Brian D. Modena, MD, MSc

“…Leveraging machine learning in analyzing electronic health records (EHRs) provides an opportunity to identify real-world asthma phenotypes. Objective: We utilized machine-learning techniques applied to EHRs to detect and predict real-world severe asthma (SA) phenotypes and improve the precision of asthma severity diagnoses. …”
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Lung ultrasound outperforms symptom-based screening to detect interstitial lung disease associated with rheumatoid arthritis by Wim Wuyts, Joseph Jacob, Patrick Verschueren, Veerle Taelman, Barbara Neerinckx, Heleen Cypers, Alexandros Kalkanis, Nico De Crem, Marie Vermant, Tinne Goos, Emanuela Elsa Cortesi, Tine Follet, Stefan Gogaert, Nathalie Veyt, Laurens J De Sadeleer

“…Objectives Interstitial lung disease associated with rheumatoid arthritis (RA-ILD) is linked to high mortality. …”
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Enhancing Early Detection of Diabetic Retinopathy Through the Integration of Deep Learning Models and Explainable Artificial Intelligence by Kazi Ahnaf Alavee, Mehedi Hasan, Abu Hasnayen Zillanee, Moin Mostakim, Jia Uddin, Eduardo Silva Alvarado, Isabel de la Torre Diez, Imran Ashraf, Md Abdus Samad

“…Through exploration of these advances, our objective is to provide a comprehensive overview of the leading methods for the early detection of DR. …”
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Early detection to improve outcome in people with undiagnosed psoriatic arthritis: the PROMPT research programme including RCT by Neil McHugh, Laura Bojke, Mel Brooke Turfrey, Rachel Charlton, Myka Ransom, Laura C Coates, Howard Collier, Claire Davies, Emma Dures, Philip Helliwell, Jana James, Anya Lissina, Vishnu B Madhok, Alison L Nightingale, Jonathan Packham, Catherine Smith, Eldon Spackman, Cerys Tassinari, William Tillett, Sarah T Brown

“…Participants with suspected inflammatory arthritis were referred to the local rheumatology clinic for an assessment of PsA (ES arm: at baseline, 12 and 24 months; SC arm: at 24 months). The primary objective of TUDOR was to determine whether the early detection of undiagnosed PsA in people with psoriasis by ES compared to SC improves outcome in physical function at 24 months post registration. …”
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Effect of lncRNA H19 on Rats with Chronic Heart Failure Based on TGF-β1/Smad3 Signaling Pathway by WANG Lingyan, CAO Guojun, MEI Yang, ZHANG Bin, ZHOU Shijing

“…ObjectiveTo explore the effect of long non-coding RNA H19 (lncRNA H19) and microRNA (miRNA)-200a on cardiac function and myocardial fibrosis in rats with chronic heart failure based on transforming growth factor-β1 (TGF-β1)/Smad homolog 3 (Smad3) signaling pathway.MethodsA total of 60 clean grade adult healthy male SD rats were randomly divided into sham surgery group and model group. …”
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Harnessing YOLOv11 for Enhanced Detection of Typical Autism Spectrum Disorder Behaviors Through Body Movements by Ayman Noor, Hanan Almukhalfi, Arthur Souza, Talal H. Noor

“…<b>Background/Objectives</b>: Repetitive behaviors such as hand flapping, body rocking, and head shaking characterize Autism Spectrum Disorder (ASD) while functioning as early signs of neurodevelopmental variations. …”
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Molecular Detection of tox A Gene in Multidrug Resistance Pseudomonas aeruginosa Isolated from Burn Infections by Zahraa Hamza Merza, Rabab Omran

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Feature engineering for fault detection and diagnosis in Power Transmission Lines using a tree-based approach by Hassan N. Noura, Zaid Allal, Ola Salman, Khaled Chahine

“…Six machine learning classifiers were employed in a bi-phased system: the primary objective was to detect faulty samples within the data, then diagnose these faults and distinguish their types. …”
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An exploratory analysis of longitudinal artificial intelligence for cognitive fatigue detection using neurophysiological based biosignal data by Sameer Nooh, Mahmoud Ragab, Rania Aboalela, Abdullah AL-Malaise AL-Ghamdi, Omar A. Abdulkader, Ghadah Alghamdi

“…The graph convolutional autoencoder (GCA) classifier is employed to classify cognitive fatigue detection. Finally, the multi-objective hippopotamus optimization (MOHO) method is utilized for parameter tuning, optimizing the model’s hyperparameters to enhance overall detection accuracy. …”
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Robust Semantic Segmentation of Wafer Transmission Electron Microscopy Image Using Multi-Task Learning With Edge Detection by Yongwon Jo, Jinsoo Bae, Hansam Cho, Sungsu Kim, Heejoong Roh, Kyunghye Kim, Munki Jo, Munuk Kim, Jaeung Tae, Seoung Bum Kim

“…In this study, we propose a multi-task pre-training with masked autoencoder and virtual edge detection (MTP-MAVED) to improve object recognition and boundary detection in wafer TEM images with consideration of three challenges. …”
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Defect Detection Method for Large-Curvature and Highly Reflective Surfaces Based on Polarization Imaging and Improved YOLOv11 by Zeyu Yu, Dongyun Wang, Hanyang Wu

“…Experimental results show that, compared to state-of-the-art object detection models, the proposed model achieves a 3.9% increase in precision over the best-performing baseline, along with notable improvements in recall, mAP50, and other key performance indicators.…”
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Real-time detection and identification of fish skin health in the underwater environment based on improved YOLOv10 model by Duanrui Wang, Meng Wu, Xingyue Zhu, Qiwei Qin, Shaowen Wang, Haibin Ye, Kaiyuan Guo, Chi Wu, Yi Shi

“…DCW-YOLO substitutes the CIoU loss function in YOLOv10 with the NWD loss function, thereby improving the model’s ability to detect densely packed targets. …”
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Technical Code Analysis of Geomagnetic Flaw Detection of Suppression Rigging Defect Signal Based on Convolutional Neural Network by Gang Zhao, Changyu Han, Zhongxiang Yu, Zhipan Li, Guoao Yu, Hongmei Zhang, Dadong Zhao, Zhengyi Jiang

“…The pressed rigging defect data set is constructed, and the region of broken wire defect and stress in the image is calibrated. The single-stage object detection algorithm YOLOv5 (You Only Look Once) based on convolutional neural network model calculation is used, the scale detection layer and positioning loss function of the YOLOv5 algorithm are improved and optimized, and the improved YOLOv5 algorithm is used for experiments. …”
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Accurate Detection and Tracking of Small-Scale Vehicles in High-Altitude Unmanned Aerial Vehicle Bird-View Imagery by Heshan Zhang, Xin Tan, Mengwei Fan, Cunshu Pan, Zhanji Zheng, Shuang Luo, Jin Xu

“…EIoU_Loss is introduced as the bounding box regression loss function in training to speed up their convergence and improve the localization accuracy of the small objects. …”
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Application of Convolutional Neural Network (CNN) Algorithm with ResNet-101 Architecture for Monkey Pox Detection in Human by Al Fathir Rizal Januar, Jamaludin Indra, Dwi Sulistya Kusumaningrum, Sutan Faisal

“…It is transmitted through direct contact with skin lesions, respiratory droplets, or contaminated objects. Early and accurate detection is crucial to reduce the risk of transmission and improve treatment effectiveness. …”
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Complex-amplitude-modulated meta-device for optical image processing by Xinchen Jiang, Peicheng Lin, Yeang Zhang, Tao Tao, Yuan Du, Xuecou Tu, Ting Xu, Yan-qing Lu, Jun-long Kou

“…To overcome these limitations, we proposed a design of complex-amplitude-modulated meta-device which could perform various functions of image processing. In this work, we demonstrated the excellent performance of two-dimensional edge detection and Gaussian filtering. …”
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Modern View on Forensic Classification of Documents by S. M. Bobovkin, A. V. Mamontov, V. D. Lobushev

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The topology of representational geometry by Shael Brown, Reza Farivar

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Label-free optical biosensors in the pandemic era by Nava Giovanni, Zanchetta Giuliano, Giavazzi Fabio, Buscaglia Marco

“…The adaptability to any molecular recognition or conformational process facilitates the integration of DNA nanostructures carrying novel functions. The high sensitivity to nanoscale objects stimulates the development of ultrasensitive systems down to digital detection of single molecular binding events enhanced by nanoparticles and direct enumeration of bio-nanoparticles like viruses.…”
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