MST-YOLO: Small Object Detection Model for Autonomous Driving by Mingjing Li, Xinyang Liu, Shuang Chen, Le Yang, Qingyu Du, Ziqing Han, Junshuai Wang

“…Compared with the original YOLOv8 model, MST-YOLOv8 demonstrates a 3.43% improvement in precision (P), an 8.15% improvement in recall (R), an 8.42% increase in mAP_0.5, a reduction in missed detection rate by 18.47%, a 70.97% improvement in small object detection AP, and a 68.92% improvement in AR.…”
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Defect Diagnosis of Photovoltaic Module Visible Light Images Under Imbalanced Sample Conditions by Huiqing Rao, Qiong Li, Long Chen, Sha Jin, Yong Lu, Zhiguang Li

“…To address the issues of high miss and false detection rates in defect detection of PV (photovoltaic) module visible light images under imbalanced data conditions, an improved data augmentation method based on DCGAN (Deep Convolutional Generative Adversarial Networks) is proposed. …”
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Antimicrobial efficacy of blueM gel and calcium hydroxide against F. nucleatum and E. faecalis biofilm: an ex-vivo study by Yahya Raja Alharbi, Swati Srivastava, Hanin Alsalhi, Khawlah Almohimeed, Mohammad Alduraibi, Ahmed Nabil

“…Abstract Endodontic treatment failure can result from persistent bacteria, inadequate cleaning and sealing of root canals, and missed canals. The resilience of bacteria such as F. nucleatum and E. faecalis within the root canal system is a significant cause of failed endodontic treatment. …”
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ACNet: An Attention–Convolution Collaborative Semantic Segmentation Network on Sensor-Derived Datasets for Autonomous Driving by Qiliang Zhang, Kaiwen Hua, Zi Zhang, Yiwei Zhao, Pengpeng Chen

“…Although deep learning methods have made significant progress, two main challenges remain: first, the difficulty in balancing global and local features leads to blurred object boundaries and misclassification; second, conventional convolutions have limited ability to perceive irregular objects, causing information loss and affecting segmentation accuracy. …”
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Development of a clinical decision support tool for Primary care Management of lower Urinary tract Symptoms in men: the PriMUS study by Adrian Edwards, Ridhi Agarwal, Janine Bates, Alison Bray, Sarah Milosevic, Emma Thomas-Jones, Michael Drinnan, Marcus Drake, Peter Michell, Bethan Pell, Haroon Ahmed, Natalie Joseph-Williams, Kerenza Hood, Yemisi Takwoingi, Chris Harding

“…Multiple imputation by chain equations was used to handle missing data and fractional polynomial functions were used to fit continuous variables. …”
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Representing Aspectual Meaning in Sentence: Computational Modeling Based on Chinese by Hongchao Liu, Bin Liu

“…However, in languages with a fully marked aspectual system, such as Mandarin Chinese, such an approach may miss the opportunity of leveraging lexical aspects as well as other distribution-based lexical cues of event types. …”
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TrainNet for locking state recognition of side door of railway freight car by Ning Xing, Cai Kangcheng, Zhou Shumin, Lan Xiangui, Lai Yihui

“…Current approaches that focus on existing object recognition methods lead to high false detection and miss rates. This paper introduces TrainNet for efficient locking state detection for Open-top wagon doors. …”
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THE ONTOGENESIS OF SPEECH DEVELOPMENT by T. E. Braudo, M. Yu. Bobylova, M. V. Kazakova

“…At this time it is acceptable, if a child confuses or rearranges sounds, distorts or misses them. By the age of 1.5 years a child begins to understand abstract explanations of adults. …”
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DAHD-YOLO: A New High Robustness and Real-Time Method for Smoking Detection by Jianfei Zhang, Chengwei Jiang

“…Especially in complex environments, the existing models often struggle with erroneous detections and missed detections. In this paper, we introduce DAHD-YOLO, a model built upon the foundation of YOLOv8. …”
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YOLO-MARS: An Enhanced YOLOv8n for Small Object Detection in UAV Aerial Imagery by Guofeng Zhang, Yanfei Peng, Jincheng Li

“…In unmanned aerial vehicle (UAV) aerial imagery scenarios, challenges such as small target size, compact distribution, and mutual occlusion often result in missed detections and false alarms. To address these challenges, this paper introduces YOLO-MARS, a small target recognition model that incorporates a multi-level attention residual mechanism. …”
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Penalised regression improves imputation of cell-type specific expression using RNA-seq data from mixed cell populations compared to domain-specific methods. by Wei-Yu Lin, Melissa Kartawinata, Bethany R Jebson, Restuadi Restuadi, Hannah Peckham, Anna Radziszewska, Claire T Deakin, Coziana Ciurtin, CLUSTER Consortium, Lucy R Wedderburn, Chris Wallace

“…However, mixed cell studies may miss expression patterns that are restricted to specific cell populations. …”
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One-year Success Story—Rare Tillaux–Chaput Fracture Treated with Distal Radius T-plate Fixation: A Case Report by Elangovan Srinivas, Thirupathy V Raja

“…Accurate diagnosis often requires advanced imaging techniques, as standard radiographs may miss these fractures. This case report presents a 37-year-old patient with a Tillaux–Chaput fracture treated successfully with a distal radius T-plate fixation. …”
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Error Mitigation Teacher for Semi-Supervised Remote Sensing Object Detection by Junhong Lu, Hao Chen, Pengfei Gao, Yu Wang

“…While teacher–student frameworks enable learning from unlabeled data, erroneous pseudo-labels such as false positives and missed detections can be reinforced over time, which degrades model performance. …”
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SMA-YOLO: An Improved YOLOv8 Algorithm Based on Parameter-Free Attention Mechanism and Multi-Scale Feature Fusion for Small Object Detection in UAV Images by Shenming Qu, Chaoxu Dang, Wangyou Chen, Yanhong Liu

“…With special consideration for complex scenes and densely distributed small objects, this frequently leads to serious false and missed detections for unmanned aerial vehicle (UAV) images in small object detection scenarios. …”
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An Overview About Figure-of-Eight Walk Test in Neurological Disorders: A Scoping Review by Gabriele Triolo, Roberta Lombardo, Daniela Ivaldi, Angelo Quartarone, Viviana Lo Buono

“…Preliminary evidence supports its ability to discriminate individuals at increased fall risk and detect subtle motor performance changes. …”
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Patient-specific data fusion defines prognostic cancer subtypes. by Yinyin Yuan, Richard S Savage, Florian Markowetz

“…These discoveries were crucially dependent on our model's ability to distinguish concordant and discordant signals within each patient sample, and would otherwise have been missed. …”
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Integrated Generation and Transmission Expansion Planning Through Mixed-Integer Nonlinear Programming in Dynamic Load Scenarios by Edison W. Intriago Ponce, Alexander Aguila Téllez

“…A key finding is the model’s ability to identify the most economic expansion pathway; for shorter horizons, the optimal solution prioritizes strategic transmission reinforcements to unlock existing generation capacity, thereby deferring capital-intensive generation investments. …”
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Introducing artificial intelligence and sperm epigenetics in the fertility clinic: a novel foundation for diagnostics and prediction modelling by Adelheid Soubry

“…Second, regularly used statistical or computational methods to estimate pregnancy outcomes miss important biological and environmental factors, including features from the male side (e.g., age, smoking, obesity status, alcohol use and occupation), as well as genetic and epigenetic characteristics. …”
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Steel surface defect detection method based on improved YOLOv9 by Cong Chen, Hoileong Lee, Ming Chen

“…This often results in high false detection and missed detection rates during the inspection process. …”
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Strategies occupational therapists employ to facilitate work-related transitions for persons with hand injuries: a study protocol for a scoping review by Michelle Elizabeth Uys, Helen Buchanan, Lana Van Niekerk

“…Reference lists will be examined, and grey literature sources will be searched to ensure that literature missed in the database searches is included. Covidence will be used to manage the project. …”
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