A Fine-Grained Aircraft Target Recognition Algorithm for Remote Sensing Images Based on YOLOV8 by Xiao-Nan Jiang, Xiang-Qian Niu, Fan-Lu Wu, Yao Fu, He Bao, Yan-Chao Fan, Yu Zhang, Jun-Yan Pei

“…This article addresses the issues of missed and false detections in existing aircraft target fine-grained recognition algorithms for remote sensing images by proposing an improved algorithm based on YOLOv8, called FD-YOLOv8 (Focus Detail-YOLOv8). …”
Get full text

Values and preferences of medication use in patients for primary and secondary prevention of cardiovascular diseases: a mixed-methods exploratory study by Shenghan LI, Heyue DU, Kang AN, Longtao HE, Jing LI, Sheyu LI

“…Conclusion: The study suggests the preference of the compound preparations to reduce the number of pills and the integrity of the therapeutic regimens and daily lives to reduce the burden of taking medications for people receiving cardiovascular prevention. …”
Get full text

TBD-Y: Automatic tea bud detection with synergistic object-spatial attention and global-local attention guided feature fusion by Zhongyuan Liu, Li Zhuo, Chunwang Dong, Jiafeng Li, Yang Li

“…The SOSA and GAGFF are integrated into the YOLOv11 framework, constructing three variants of the TBD model with different parameter scales, named TBD-Y-L, TBD-Y-M, and TBD-Y-S. …”
Get full text

CIDNet: A Maritime Ship Detection Model Based on ISAR Remote Sensing by Fei Liu, Boyang Liu, Hang Zhou, Song Han, Kunlin Zou, Wenjie Lv, Chang Liu

“…In addition, the model integrates a coordinated attention mechanism to enhance the focus on the target region and optimize the detection accuracy. …”
Get full text

Navigating healthcare pathways: Cascade of prevention and care for chronic viral hepatitis in asylum seekers and refugees. A multicenter analysis in Northern Italy by Beatrice Formenti, Roberto Benoni, Jacopo Testa, Giulia Bertoli, Giacomo Stroffolini, Maria Grazia Pizzi, Barbara Menzaghi, Niccolò Ronzoni, Paola Magro, Issa El Hamad, Carla Scolari, Angiola Spinetti, Serena Zaltron, Francesco Castelli, Valentina Marchese, Alberto Matteelli

“…For those with chronic infections, 20.8 % missed their first infectious disease consultation, and only 39.3 % were retained in care after one year. …”
Get full text

Predicting Olive Tree Chlorophyll Fluorescence Using Explainable AI with Sentinel-2 Imagery in Mediterranean Environment by Leonardo Costanza, Beatriz Lorente, Francisco Pedrero Salcedo, Francesco Pasanisi, Vincenzo Giannico, Francesca Ardito, Carlota María Martí Martínez, Simone Pietro Garofalo

“…The results highlight the potential of integrating remote sensing and machine learning to improve olive grove management, providing a useful tool for early stress detection and targeted interventions.…”
Get full text

The predictive value of radiomics and deep learning for synchronous distant metastasis in clear cell renal cell carcinoma by Wan-Bin He, Chuan Zhou, Zhi-Jun Yang, Yun-Feng Zhang, Wen-Bo Zhang, Han He, Jia Wang, Feng-Hai Zhou

“…Conclusion The model integrates radiomics and deep learning, showing significant potential in predicting SDM in ccRCC patients. …”
Get full text

Ship Target Detection in SAR Images Based on Multiple Attention Mechanism and Cross-Scale Feature Fusion by Yuwu Wang, Tieming Wu, Limin Guo, Yuhan Mo

“…This module deeply integrates target features with rich boundary information extracted from the shallow network and highly semantic information captured by the deep network. …”
Get full text

Evaluating urban network efficiency and safety impacts of connected and autonomous vehicles in complex city environments by Nick Sauciur, Amirarsalan Mehrara Molan, Soheil Sajjadi, Bernice Liu, Anurag Pande

“…Based on the Surrogate Safety Assessment Model (SSAM) conducted, while the number of critical crossing conflicts decreased, a rise in lane-change and rear-end near misses was identified with increasing CAV penetration rates. …”
Get full text

A Hybrid STL-Deep Learning Framework for Behavioral-Based Intrusion Detection in IoT Environments by Abdullah AlHayan, Jalal Al-Muhtadi

“…This paper proposes a novel hybrid IDS framework designed to enhance IoT network security by integrating time series analysis with deep learning. …”
Get full text

A systematic approach for modeling and planning a sustainable electricity system in Colombia by Santiago Bernal-del Río, Nicolò Stevanato, Riccardo Mereu, Gilberto Osorio-Gómez

“…The study applies an integrated technical, economic and environmental framework that evaluates four decarbonization pathways under three hydrological regimes, thereby capturing Colombia’s climate vulnerability and the cross-sector trade-offs often missed by single-discipline models.…”
Get full text

A Systems Approach to Monitoring Antimicrobial Consumption and Use in Uganda by Miss Vivian Twemanye, Ms Harriet Akello, Mr Moses Mukiibi, Mr Richard Walwema, Dr Jonathan Mayito, Dr Morries Seru

Get full text

Machine Learning-Based Detection of Icebergs in Sea Ice and Open Water Using SAR Imagery by Zahra Jafari, Pradeep Bobby, Ebrahim Karami, Rocky Taylor

“…The proposed method achieves a low false positive rate of 1% for each class and a missed detection rate ranging from 0.02% for OWT to 0.04% for SI and SIT, along with an overall accuracy of 96.5% and an area under curve (AUC) value close to 1. …”
Get full text

A Lightweight Network for UAV Multi-Scale Feature Fusion-Based Object Detection by Sheng Deng, Yaping Wan

“…To tackle the issues of small target sizes, missed detections, and false alarms in aerial drone imagery, alongside the constraints posed by limited hardware resources during model deployment, a streamlined object detection approach is proposed to enhance the performance of YOLOv8s. …”
Get full text

FP-YOLOv8: Surface Defect Detection Algorithm for Brake Pipe Ends Based on Improved YOLOv8n by Ke Rao, Fengxia Zhao, Tianyu Shi

“…Second, the Dynamic ATSS label allocation strategy is applied, which dynamically adjusts label assignments by integrating Anchor IoUs and predicted IoUs, effectively reducing the misclassification of high-quality prediction samples as negative samples. …”
Get full text

Detection of underground personnel safety helmet wearing based on improved YOLOv8n by WANG Qi, XIA Lufei, CHEN Tianming, HAN Hongyin, WANG Liang

“…A convolutional block attention module (CBAM) was integrated into the backbone network to extract key image features and reduce background interference. …”
Get full text

Exploring Suicide-Related Internet Use Among Suicidal Mental Health Patients in the United Kingdom: Cross-Sectional Questionnaire Study by Lana Bojanić, Isabelle M Hunt, Sandra Flynn, Saied Ibrahim, Pauline Turnbull

“…Addressing its harmful aspects while leveraging its potential for support requires integrated online and offline strategies.…”
Get full text

Analysis of clinical characteristics and diagnostic prediction of Qi deficiency and blood stasis syndrome in acute ischemic stroke by Xu Hao, Zhu Xu, Li Bo, Liu Xiaodan, Pan Xihui, Deng Changqing

Get full text

Efficient detection and counting method for maize seedling plots by Feiyun Wang, Hanlu Jiang, Jincan Wu, Fupeng Li, Bo Zhao, Wenhua Mao, Chengxu Lv, Liming Zhou, Qingzhong Xu

“…Upon deploying SEA-YOLOv5 on the Jetson Orin NX and conducting seedling detection and counting trials across eight plots, the model achieved a miss rate of just 0.63 % and a frame rate of 74.6 FPS. …”
Get full text

A Multi-Fusion Early Warning Method for Vehicle–Pedestrian Collision Risk at Unsignalized Intersections by Weijing Zhu, Junji Dai, Xiaoqin Zhou, Xu Gao, Rui Cheng, Bingheng Yang, Enchu Li, Qingmei Lü, Wenting Wang, Qiuyan Tan

“…Simulation results show that the proposed warning method achieves an accuracy of 94.5% at unsignalized intersections, outperforming traditional Time-to-Collision (TTC) and braking distance models, and effectively reducing missed and false warnings, thereby improving pedestrian traffic safety at unsignalized intersections.…”
Get full text