YOLO-SUMAS: Improved Printed Circuit Board Defect Detection and Identification Research Based on YOLOv8 by Ying Tang, Runhao Liu, Sheng Wang

“…Aiming at the demand for defect detection accuracy and efficiency under the trend of high-density and integration in printed circuit board (PCB) manufacturing, this paper proposes an improved YOLOv8n model (YOLO-SUMAS), which enhances detection performance through multi-module collaborative optimization. …”
Get full text

A multi-scale rotated ship targets detection network for remote sensing images in complex scenarios by Siyu Li, Fei Yan, Yunqing Liu, Yuzhuo Shen, Lan Liu, Ke Wang

“…Abstract Detecting ship targets in remote sensing images within complex scenarios faces numerous challenges. …”
Get full text

TSFANet: Trans-Mamba Hybrid Network with Semantic Feature Alignment for Remote Sensing Salient Object Detection by Jiayuan Li, Zhen Wang, Nan Xu, Chuanlei Zhang

“…Although existing methods improve detection accuracy by optimizing feature extraction and attention mechanisms, they still face limitations when dealing with the inherent challenges of ORSI. …”
Get full text

Research on Lightweight Open-Pit Mine Driving Obstacle Detection Algorithm Based on Improved YOLOv8s by Bo Xu, Wubin Xu, Bing Li, Hanwen Zhang, Yuanbin Xiao, Weixin Zhou

Get full text

Prioritizing the Timely Detection and Diagnosis of Early-Age Onset Cancer to Enable Optimal Disease Management and Outcomes by Michael J. Raphael, Petra Wildgoose, Darren Brenner, Christine Brezden-Masley, Ronald Burkes, Robert C. Grant, Alexandra Pettit, Cassandra Macaulay, Monika Slovinec D’Angelo, Filomena Servidio-Italiano

“…In November 2024, the fourth annual Symposium focusing on early-age onset cancer (EAOC) was hosted by the Colorectal Cancer Resource & Action Network (CCRAN), assembling clinicians, researchers, and patients virtually to discuss challenges in early detection and diagnosis of individuals afflicted with EAOC across tumour types. …”
Get full text

A Semantic-Guided Cross-Attention Network for Change Detection in High-Resolution Remote Sensing Images by Guowei Lu, Shunyu Yao, Yao Li, Jinbo Tang, Guangyuan Kan, Tao Sun, Changjun Liu, Deqiang Cheng, Ruilong Wei

Get full text

FraudGNN-RL: A Graph Neural Network With Reinforcement Learning for Adaptive Financial Fraud Detection by Yiwen Cui, Xu Han, Jiaying Chen, Xinguang Zhang, Jingyun Yang, Xuguang Zhang

“…As financial systems become increasingly complex and interconnected, traditional fraud detection methods struggle to keep pace with sophisticated fraudulent activities. …”
Get full text

LDDFSF-YOLO11: A Lightweight Insulator Defect Detection Method Focusing on Small-Sized Features by Peng Shen, Keyu Mei, Huiqiong Cao, Yongxiang Zhao, Guoqing Zhang

“…In the LDDFSF-YOLO11 model, a focused feature extraction module (MFFEConv) is proposed to enhance the feature extraction capability of the backbone network. In addition, a collaborative attention mechanism and a multi-scale feature fusion module (MDMF) are proposed to enhance the model’s ability to detect small-sized defects in remote and complex backgrounds, effectively solving the problems of missed detections, false detections, and poor adaptability to complex backgrounds. …”
Get full text

LCCDMamba: Visual State Space Model for Land Cover Change Detection of VHR Remote Sensing Images by Junqing Huang, Xiaochen Yuan, Chan-Tong Lam, Yapeng Wang, Min Xia

Get full text

Robotic monitoring of European habitats: a labeled dataset for plant detection in Annex I habitats of Italy by Giovanni Di Lorenzo, Franco Angelini, Michele Pierallini, Simone Tolomei, Davide De Benedittis, Agnese Denaro, Giovanni Rivieccio, Maria Carmela Caria, Federica Bonini, Anna Grassi, Leopoldo de Simone, Emanuele Fanfarillo, Tiberio Fiaschi, Simona Maccherini, Barbara Valle, Marina Serena Borgatti, Simonetta Bagella, Daniela Gigante, Claudia Angiolini, Marco Caccianiga, Manolo Garabini

“…Abstract The present data descriptor presents a dataset designed for the detection of plant species in various habitats of the European Union. …”
Get full text

ST-CapsNet: Linking Spatial and Temporal Attention With Capsule Network for P300 Detection Improvement by Zehui Wang, Chuangquan Chen, Junhua Li, Feng Wan, Yu Sun, Hongtao Wang

Get full text

The role of machine learning in infectious disease early detection and prediction in the MENA region: A systematic review by Radwan Qasrawi, Ghada Issa, Suliman Thwib, Razan AbuGhoush, Malak Amro, Raghad Ayyad, Stephanny Vicuna, Eman Badran, Yousef Khader, Raeda Al Qutob, Faris Al Bakri, Hana Trigui, Elie Sokhn, Emmanuel Musa, Jude Dzevela Kong

“…This review highlights the need for standardized protocols, enhanced digital infrastructure, and collaborative efforts to realize the full potential of ML in enhancing public health interventions across the region. …”
Get full text

Research on Neonatal Conditions in Africa: Funding Activities from a Bibliometric Perspective by Elizabeth de Sousa Vieira, Jorge Cerdeira

Get full text

Zoonotic pathogens in equids in Central Europe: a systematic review by Aisha Arshad, Anna Helga Reif, Jessika-Maximiliane V. Cavalleri, Amélie Desvars-Larrive

“…This review had two objectives: (i) to catalogue zoonotic pathogens detected in equids across Central Europe, and (ii) to analyse research trends and collaborations in equid zoonosis studies within the region. …”
Get full text

Visual Servoing Drone Utilizing Ground Robot Detection Model for UAV-UGV Alignment for Retrieval Operations by Jamaica Mae Pepito, John Mel Bolaybolay, Earl Ryan Aleluya, Francis Jann Alagon, Steve Clar, Immanuel Paradela, Sherwin Guirnaldo, Jeanette Pao, Carl John Salaan, Argel Bandala

“…Three models were tested in this study: plate detection, ground robot detection, and a combined plate and ground robot detection model. …”
Get full text

HRP-integrated CRISPR-Cas12a biosensor for rapid point-of-care detection of Langya henipavirus by Xuan Wu, Rong Xiang, Danting Yang, Xiaoyao He, Lu Zhu, Fangfang Sun, Hanqing Li, Ningning Pi, Yi Li

Get full text

Simultaneous detection of pathogens and antimicrobial resistance genes with the open source, cloud-based, CZ ID platform by Dan Lu, Katrina L. Kalantar, Abigail L. Glascock, Victoria T. Chu, Estella S. Guerrero, Nina Bernick, Xochitl Butcher, Kirsty Ewing, Elizabeth Fahsbender, Olivia Holmes, Erin Hoops, Ann E. Jones, Ryan Lim, Suzette McCanny, Lucia Reynoso, Karyna Rosario, Jennifer Tang, Omar Valenzuela, Peter M. Mourani, Amy J. Pickering, Amogelang R. Raphenya, Brian P. Alcock, Andrew G. McArthur, Charles R. Langelier

“…Its development represents an important step toward democratizing pathogen genomic analysis and supporting collaborative efforts to combat the growing threat of AMR.…”
Get full text

A Review: The Application of Path Optimization Algorithms in Building Mechanical, Electrical, and Plumbing Pipe Design by Ruijun Deng, Xiaoliang Li, Yuhua Tian

Get full text

Prevalence of common respiratory viruses in children: insights from post-pandemic surveillance by Constance Adu-Gyamfi, Jesse Addo Asamoah, James Opoku Frimpong, Richard Larbi, Richard Owusu Ansah, Sherihane Naa Ayeley Aryeetey, Richmond Gorman, Henry Kyeremateng Acheampong, Emmanuella Nyarko-Afriyie, Manuella Hayford, Henrietta Dede Tetteh, Kwadwo Boampong, Veronica Barnor, Peter K. Brenya, Frederick Ayensu, Nana Kwame Ayisi-Boateng, Philip El-Duah, Christian Drosten, Richard Odame Phillips, Augustina Angelina Sylverken, Michael Owusu

Get full text

FinGraphFL: Financial Graph-Based Federated Learning for Enhanced Credit Card Fraud Detection by Zhenyu Xia, Suvash C. Saha

“…FinGraphFL utilizes Graph Attention Networks to analyze dynamic relationships between daily credit card transaction records, enhancing its ability to detect fraudulent activities. With the addition of differential privacy, the model allows multiple financial institutions to collaborate to refine the detection model without sharing sensitive data, thus improving adaptability and accuracy. …”
Get full text