Federated Online Learning for adaptive load forecasting across decentralized nodes by Mohamed Ahmed T.A. Elgalhud, Mohammad Navid Fekri, Syed Mir, Katarina Grolinger

“…However, integrating the two remains challenging as it requires reconciling the distributed yet static paradigm of FL with the centralized yet dynamic sequential updating characteristics of online learning. …”
Get full text

Remote Sensing Image Detection Method Combining Dynamic Convolution and Attention Mechanism by Yunfei Zhang, Ming Chen, Cong Chen

“…Traditional CNN downsampling often leads to the loss of small object details and missed detections. This paper proposes an improved YOLOv8 algorithm, incorporating adaptive feature extraction and multi-scale fusion modules to enhance feature representation, effectively capturing the details of small objects. …”
Get full text

Enhanced YOLO and Scanning Portal System for Vehicle Component Detection by Feng Ye, Mingzhe Yuan, Chen Luo, Shuo Li, Duotao Pan, Wenhong Wang, Feidao Cao, Diwen Chen

“…The system consists of a scanning portal system and an improved YOLOv12-based detection algorithm which captures images of automotive parts passing through the scanning portal in real time. By integrating deep learning, the system enables real-time monitoring and identification, thereby preventing misdetections and missed detections of automotive parts, in this way promoting intelligent automotive part recognition and detection. …”
Get full text

Enhancing LiDAR Mapping with YOLO-Based Potential Dynamic Object Removal in Autonomous Driving by Seonghark Jeong, Heeseok Shin, Myeong-Jun Kim, Dongwan Kang, Seangwock Lee, Sangki Oh

“…Existing methods using LiDAR segmentation for map matching often suffer from missed detections and false positives, degrading performance. …”
Get full text

ACM-YOLOv10: Research on Classroom Learning Behavior Recognition Algorithm Based on Improved YOLOv10 by Beichen Qin, Haoyan Hu, Shaowen Du

“…To effectively integrate the research on learning engagement with teaching practices and accurately assess and analyze students’ learning behavior participation in the classroom to improve teaching quality, this paper proposes an improved YOLOv10 algorithm model, ACM-YOLOv10, targeting the issues of insufficient detection precision, missed detection, false detection, and slow speed of traditional recognition algorithms in classroom behavior detection under multi-scale scenarios and occluded targets. …”
Get full text

Rancang Bangun Electronic Customer Relationship Management pada Sistem Informasi Hotel dengan Framework of Dynamic CRM by Siti Monalisa, Jukhri Syahputra Bacin

“…The technology is called e-CRM by integrating a framework called the Framework of Dynamic CRM. …”
Get full text

Cross sectional survey of maternal and newborn quality of care in Niger: Selected findings, lessons learned and recommendations. by Alexandre Quach, Barbara Madaj, Katie Fahy, Aminata Tinni Konate, Ibrahim Souley, Lucien Omar Marcel, Adama Traore, Monir Islam, Uzochukwu Egere, Charles Anawo Ameh

“…A nationally representative sample of 110 public healthcare facilities at three levels (integrated health centres, district hospitals and mother-child hospitals) and 2153 women were included. …”
Get full text

Leveraging expression from multiple tissues using sparse canonical correlation analysis and aggregate tests improves the power of transcriptome-wide association studies. by Helian Feng, Nicholas Mancuso, Alexander Gusev, Arunabha Majumdar, Megan Major, Bogdan Pasaniuc, Peter Kraft

“…Here, we propose to address these issues by integrating multiple tissues in the TWAS using sparse canonical correlation analysis (sCCA). …”
Get full text

Length of transfer time between connecting trains – is there an ideal value? by Jan Froněk, Jaroslav Chlumecký, Daniel Vymětal

“…Suburban rail transport is usually part of integrated transport systems, the principle of which is the possibility to use several types of means of transport in one journey per ticket. …”
Get full text

Beyond proximity: A review and framework to further understanding of greenspace accessibility in the x‐minute city by Andrew Schendl, James M. Bullock, Ronaldo Menezes, Simon Willcock

“…Similarly, human mobility models can track movement patterns but may miss environmental and cultural factors. To bridge the gap between these methods, we introduce the Multi‐context Inclusive City (MIC) framework, which integrates spatial, behavioural and mobility perspectives to analyse greenspace accessibility. …”
Get full text

Determining an optimal case definition using mid-upper arm circumference with or without weight for age to identify childhood wasting in the Philippines. by Lyle Daryll Dimaano Casas, Jhanna Uy, Eldridge Ferrer, Charmaine Duante, Paluku Bahwere, Rene Gerard Galera, Alice Nkoroi, Behzad Noubary, Mueni Mutunga, Sanele Nkomani, Roland Kupka, Valerie Gilbert Ulep

“…MUAC alone, however, may miss identification of many wasted children, leading to untimely intervention and potentially death. …”
Get full text

Generative AI in AI-Based Digital Twins for Fault Diagnosis for Predictive Maintenance in Industry 4.0/5.0 by Emilia Mikołajewska, Dariusz Mikołajewski, Tadeusz Mikołajczyk, Tomasz Paczkowski

“…As Industry 5.0 emphasizes a human-centric approach, AI-based generative DT can seamlessly integrate with human operators to support collaboration and decision-making. …”
Get full text

Graph Neural Network With Hessian-Based Locally Linear Embedding for Cancer Metastasis Analysis in Lymph Nodes Using DeepLab Segmentation by Senthil Jayapal, R. Annamalai

“…The proposed framework integrates DeepLab, a highly advanced convolutional neural network for image segmentation, to segment the lymph node regions from high-resolution MRI and PET scans. …”
Get full text

AIR SPACE CAPACITY ASSESSMENT REGARDING THE PROBLEM OF THE COLLABORATIVE MANAGEMENT OF AIR TRAFFIC FLOWS by I. E. Zhiltsov, A. K. Mitrofanov, L. E. Rudel'son

“…Each planning horizon is a service channel that performs the functions of air traffic flow management, restructuring the space and the management process on its territory, as well as maintaining the integrity of information in the interacting horizons. …”
Get full text

Non-formal interviews as model interfaces: A case for deep learning in workplace instructional design research by Roberto Rojas-Alfaro

“…The paper concludes with recommendations for integrating non-formal interviews into IDR methodologies, emphasizing their anability to support behavior-driven, context-sensitive, and adaptive learning strategies. …”
Get full text

Research on Detection and Counting Method of Green Walnut Based on YOLOv8n-RBP by Bangbang Chen, Keke Tan, Kun Li, Baojian Ma, Xiangdong Liu

“…First, a receptive field-concentrated attention module (RFCBAM) is integrated into the backbone network to enhance feature extraction capabilities. …”
Get full text

The rise of congenital syphilis in Canada: threats and opportunities by Ashorkor Tetteh, Victoria Moore

“…These trends call for a closer look at missed opportunities for testing, diagnosis, treatment, and follow-up of pregnant individuals. …”
Get full text

Autonomous Aerial Vehicle Object Detection Based on Spatial Perception and Multiscale Semantic and Detail Feature Fusion by Wei Rao, Siyuan Chen, Dan Li

“…Finally, a method that integrates Soft Non-Maximum Suppression (Soft-NMS) with Generalized Intersection over Union (GIoU), called GIoU-Soft-NMS, is proposed to enhance the model’s post-processing capability and reduce the missed and false detection rates, thereby further improving the detection accuracy of the model. …”
Get full text

Differential Cryptanalysis of the Reduced Pointer Authentication Code Function Used in Arm’s FEAT_PACQARMA3 Feature by Roberto Avanzi, Orr Dunkelman, Shibam Ghosh

“…These attacks, while not presenting immediate threat to the PAC mechanism, show that some versions of the feature do miss the security targets made for the original function. …”
Get full text

Increasing a hospital-based violence intervention program’s referrals for children and families in a pediatric emergency department by Narmeen I. Khan, Sri S. Chinta, Brooke M. Cheaton, Mark Nimmer, Michael N. Levas

“…Conclusions We identified a large percentage of missed HVIP-eligible referrals and developed interventions that significantly increased our referral rate. …”
Get full text