A Comparison Between Artificial Intelligence and Radiologists’ Ability to Detect Lung Nodules by Cristina Mihaela CIOFIAC, Rossy Vlăduţ TEICĂ, Lucian Mihai FLORESCU, Ioana Andreea GHEONEA

“…Results: Radiologists assisted by AI missed significantly fewer nodules (p = 0.049) and demonstrated an almost perfect correlation (0.999) with expert reference values, reducing the mean absolute error (MAE) from 12.24 to 4.92. …”
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Steel Surface Defect Detection Based on Improved GCHS-YOLO Algorithm by Ruiqiang Guo, Peiyong Ji, Yapin Zhang, Jingqi Hu, Wenlong Liu, Xuejian Li, Min Li

“…In this paper, we address challenges in steel surface defect inspection, such as missed detections and false detections, by proposing the GCHS-YOLO detection algorithm. …”
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Building Safer Social Spaces: Addressing Body Shaming with LLMs and Explainable AI by Sajedeh Talebi, Neda Abdolvand

“…Limitations include Reddit-specific data and potential misses of implicit shaming. Future research should explore multi-platform datasets and few-shot learning. …”
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A Wearable Internet of Things-Based Device for the Quantitative Assessment of Hand Tremors in Parkinson’s Disease: The ELENA Project by Yessica Saez, Cristian Ureña, Julia Valenzuela, Antony García, Edwin Collado

“…Named in honor of a 67-year-old woman who has lived with Parkinson’s since 2011 and inspired the project, the ELENA system integrates an MPU6050 accelerometer, an ESP32 microcontroller, and cloud-based data analysis and MATLAB. …”
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DMN-YOLO: A Robust YOLOv11 Model for Detecting Apple Leaf Diseases in Complex Field Conditions by Lijun Gao, Hongwu Cao, Hua Zou, Huanhuan Wu

“…These enhancements effectively reduce both missed and false detections. Additionally, a normalized Wasserstein distance (NWD) loss function is introduced to mitigate localization errors, particularly for small or overlapping lesions. …”
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Anomaly Detection in Spatiotemporal Data from Fiber Optic Distributed Temperature Sensing for Outdoor Fire Monitoring by Haitao Bian, Xiaohan Luo, Zhichao Zhu, Xiaowei Zang, Yu Tian

“…However, prediction models trained in laboratory settings often yield false and missed alarms when deployed in complex outdoor settings, due to environmental interferences. …”
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Self-Powered Microsystem for Ultra-Fast Crash Detection via Prestressed Triboelectric Sensing by Yiqun Wang, Yuhan Wang, Xinzhi Liu, Xiaofeng Wang, Keren Dai, Zheng You

“…We further developed a self-powered, compact (<4.5 cm3) microsystem that integrates the shock sensor, a signal processing module, airbag triggering circuitry, and a high-g-resistant supercapacitor as a backup power source. …”
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Development of a Tool for Comprehensive Balance Assessment Based on Artificial Intelligence and Anomaly Detection by Márcio Fagundes Goethel, Klaus Magno Becker, Franciele Carvalho Santos Parolini, Ulysses Fernandes Ervilha, João Paulo Vilas-Boas

“…In contrast, younger, more educated individuals exhibited a more integrated sensorimotor approach. These findings demonstrate that our anomaly-detection tool can identify subtle balance impairments often missed by traditional methods, offering valuable insights for personalized fall-risk assessment and intervention. …”
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V-STAR: A Cloud-Based Tool for Satellite Detection and Mapping of Volcanic Thermal Anomalies by Simona Cariello, Arianna Beatrice Malaguti, Claudia Corradino, Ciro Del Negro

“…Traditional hotspot detection techniques based on fixed thresholds often miss subtle anomalies on a global scale. In contrast, advanced machine learning algorithms offer a data-driven alternative. …”
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Cultural power dynamics and narrative transformation: a comparative analysis of Hollywood film remakes in contemporary Asian cinema by Alem Febri Sonni, Irwanto Irwanto, Hasdiyanto Hafied, Vinanda Cinta Cendekia Putri

“…The study analyzes “Ghost” (1990) and its Japanese remake “Ghost: In Your Arms Again” (2018), and “Miss Congeniality” (2000) and its Chinese remake “Beauty Queen” (2021). …”
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Small object detection algorithm based on improved YOLOv10 for traffic sign by Yukang Zou, Scarlett Liu

“…Existing methods often suffer from high miss and false alarm rates, particularly in dynamic or cluttered environments, limiting their practical applicability. …”
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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

“…The module efficiently extracts curvilinear features and is integrated into the backbone feature extraction network to enhance the feature representation capability. …”
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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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Modeling student satisfaction in online learning using random forest by Jinlei Li, Xiaowei Chen

“…This study contributes theoretically by integrating cognitive-affective dimensions, methodologically by demonstrating the utility of machine learning in modeling nonlinear interactions, and practically by providing actionable insights for platform optimization. …”
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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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Memory-Driven Forensic Analysis of SQL Server: A Buffer Pool and Page Inspection Approach by Jiho Shin

“…However, these methods face critical limitations in real-time applicability and may miss volatile data that temporarily resides in memory. …”
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RS-DETR: An Improved Remote Sensing Object Detection Model Based on RT-DETR by Hao Zhang, Zheng Ma, Xiang Li

“…Additionally, we propose an enhanced bidirectional feature pyramid network (EBiFPN) to facilitate multi-scale feature fusion. By integrating features across multiple scales, it improves object detection accuracy and robustness. …”
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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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Health System-Led Early Consent and Direct Contact of At-Risk Relatives: Pilot Study Results by Nora B. Henrikson, Aaron Scrol, Jamilyn M. Zepp, Melissa L. Anderson, Paula R. Blasi, John J. Ewing, Jane Grafton, James D. Ralston, Stephanie M. Fullerton, Kathleen A. Leppig

“…In the USA, probands are expected to notify their own at-risk relatives, but many relatives never learn of their risk, representing missed opportunity to reduce morbidity and mortality associated with hereditary cancers. …”
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Patient-specific data fusion defines prognostic cancer subtypes. by Yinyin Yuan, Richard S Savage, Florian Markowetz

“…We present a nonparametric Bayesian model for discovering prognostic cancer subtypes by integrating gene expression and copy number variation data. …”
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