Research on early fire source identification and anti-interference methods in mines based on dual-spectrum imaging technology by WANG Yanlin, PEI Xiaodong, WANG Kai, XU Guang

“…Additionally, both methods have low identification accuracy under dust conditions. …”
Get full text

Joint pseudo-range and Doppler positioning method with LEO Satellites‘ signals of opportunity by Ying Xu, Yue Liu, Ming Lei, Ming Gao, Zhibo Fang, Cheng Jiang

“…However, it also encounters the issues of distinguishing between multiple satellite signals and low received signal power, which requires high-sensitivity detection. …”
Get full text

Empirical Evaluation and Analysis of YOLO Models in Smart Transportation by Lan Anh Nguyen, Manh Dat Tran, Yongseok Son

“…You Only Look Once (YOLO) and its variants have emerged as the most popular real-time object detection algorithms. They have been widely used in real-time smart transportation applications due to their low-latency detection and high accuracy. …”
Get full text

UEF-HOCUrdu: Unified Embeddings Ensemble Framework for Hate and Offensive Text Classification in Urdu by Kifayat Ullah, Muhammad Aslam, Muhammad Usman Ghani Khan, Faten S. Alamri, Amjad Rehman Khan

Get full text

An Improved Diagnosis Approach for Short-Circuit Fault Diagnosis in MPC-Based Current Source Inverter System by Jonggrist Jongudomkarn, Pirat Khunkitti, Apirat Siritaratiwat

“…In the presence of faulty switches, the algorithm identifies the phase of the reference current where the predicted currents align with the reference values. …”
Get full text

SMART DShot: Secure Machine-Learning-Based Adaptive Real-Time Timing Correction by Hyunmin Kim, Zahid Basha Shaik Kadu, Kyusuk Han

“…Through comprehensive evaluation encompassing 32,000 Monte Carlo test iterations (500 per scenario × 16 scenarios × 4 algorithms) across 16 distinct operational scenarios and PolarFire SoC Field-Programmable Gate Array (FPGA) implementation, we demonstrate exceptional performance with 88.3% attack detection rate, only 2.3% false positive incidence, and substantial vulnerability mitigation reducing Common Vulnerability Scoring System (CVSS) severity from High (7.3) to Low (3.1). …”
Get full text

Research on path planning for coal mine rescue robots by ZHU Hongbo, YIN Hongliang

“…This paper proposes a path planning method for coal mine rescue robots based on a Hierarchical Smooth Optimization Bidirectional A* guided dynamic window approach (HSTA*-G-DWA) algorithm. The method addresses several limitations of the traditional bidirectional A* algorithm, including low search efficiency, poor path safety, and inadequate smoothness, as well as low real-time pathfinding efficiency when integrating the DWA with global path planning algorithms. …”
Get full text

UAV-StrawFire: A visible and infrared dataset for real-time straw-fire monitoring with deep learning and image fusion by Xikun Hu, Ya Jiang, Xiaoyan Xia, Chen Chen, Wenlin Liu, Pengcheng Wan, Kangcheng Bin, Ping Zhong

“…Traditional satellite-based remote sensing techniques encounter difficulties in monitoring small-scale straw-burning events due to long revisit intervals and low spatial resolution. To address this challenge, unmanned aerial vehicles (UAVs) equipped with imaging sensors have emerged as a rapid and cost-effective solution for monitoring and detecting straw fires. …”
Get full text

Artificial intelligence and remote patient monitoring in US healthcare market: a literature review by Ayushmaan Dubey, Anuj Tiwari

“…The cardiovascular (74%) AI RPM solutions dominated the US market, followed by ECG-based arrhythmia detection algorithms (59.4%), and Hemodynamics and Vital Sign monitoring algorithms (21.9%). …”
Get full text

A Method for Service Function Chain Migration Based on Server Failure Prediction in Mobile Edge Computing Environment by Joelle Kabdjou, Norihiko Shinomiya

“…Using a Long Short-Term Memory (LSTM) algorithm optimized by Super SAPSO (Simulated Annealing Particle Swarm Optimization), the model forecasts server failures with improved accuracy, reducing False Alarm Rates and improving Failure Detection Rates. …”
Get full text

Maritime man-overboard search based on MOB-Detector with modulated deformable convolution and bi-directional feature fusion network by Guokang Xu, Jianchuan Yin, Jianchuan Yin, Jinfeng Zhang, Nini Wang

“…Furthermore, we introduce the ManOverboard Benchmark to evaluate algorithms for detecting small objects in maritime environments.DiscussionIn the discussion, the challenge faced by the MOB-Detector in low-visibility environments is discussed, and two future research directions are proposed: optimizing the detector based on the Transformer architecture and developing targeted data augmentation strategies.…”
Get full text

High-Precision Pose Measurement of Containers on the Transfer Platform of the Dual-Trolley Quayside Container Crane Based on Machine Vision by Jiaqi Wang, Mengjie He, Yujie Zhang, Zhiwei Zhang, Octavian Postolache, Chao Mi

“…A multi-scale adaptive frequency object-detection framework is developed based on YOLO11, achieving improved detection accuracy for multi-scale lockhole keypoints in perspective-distortion scenarios (mAP@0.5 reaches 95.1%, 4.7% higher than baseline models) through dynamic balancing of high–low-frequency features and adaptive convolution kernel adjustments. …”
Get full text

New Perspectives on Lung Cancer Screening and Artificial Intelligence by Leonardo Duranti, Luca Tavecchio, Luigi Rolli, Piergiorgio Solli

“…Lung cancer is the leading cause of cancer-related death worldwide, with 1.8 million deaths annually. Early detection is vital for improving patient outcomes; however, survival rates remain low due to late-stage diagnoses. …”
Get full text

Dual-Frequency Multi-Constellation Global Navigation Satellite System/Inertial Measurements Unit Tight Hybridization for Urban Air Mobility Applications by Gianluca Corraro, Federico Corraro, Andrea Flora, Giovanni Cuciniello, Luca Garbarino, Roberto Senatore

“…The implemented navigation algorithm is integrated with autonomous fault detection and exclusion of GPS/Galileo/BeiDou satellites and the estimation of navigation solution integrity/accuracy (i.e., protection level and figures of merit). …”
Get full text

Mortality impact, risks, and benefits of general population screening for ovarian cancer: the UKCTOCS randomised controlled trial by Usha Menon, Aleksandra Gentry-Maharaj, Matthew Burnell, Andy Ryan, Jatinderpal K Kalsi, Naveena Singh, Anne Dawnay, Lesley Fallowfield, Alistair J McGuire, Stuart Campbell, Steven J Skates, Mahesh Parmar, Ian J Jacobs

“…A bioresource (UKCTOCS Longitudinal Women’s Cohort) of longitudinal outcome data and over 0.5 million serum samples including serial annual samples in women in the MMS group was established and to date has been used in many new studies, mainly focused on early detection of cancer. Harms Both screening tests (venepuncture and TVS) were associated with minor complications with low (8.6/100,000 screens MMS; 18.6/100,000 screens USS) complication rates. …”
Get full text

Reducing False Alarm in Target Sidelobes Using Time-Varying Trajectories in Range-Doppler Diagram With Conditional 3D-DCNN by Jiyeon Choi, Daegun Oh, Youngwook Kim

“…The proposed method was validated using frequency-modulated continuous wave radar to detect low-RCS targets and demonstrated a reduction in FAs in clutter environments. …”
Get full text

基于IMU信号的人工智能上肢多关节运动状态识别系统构建——卒中后人工智能运动功能评估与检测系统建设前导研究 Construction of an Artificial Intelligence Upper Limb Multi-Joint Motion State Recognition System Based on IMU Signals—A Pre... by 程相鑫1，张烁1，杜松骏1，刘子阳1，周宏宇2，3，贾伟丽2，3，李子孝2，3，刘涛1 (CHENG Xiangxin1, ZHANG Shuo1, DU Songjun1, LIU Ziyang1, ZHOU Hongyu2,3, JIA Weili2,3, LI Zixiao2,3, LIU Tao1 )

Get full text

MODERN DIAGNOSTIC AND TREATMENT OF VITAMIN В12 DEFICIENCY by A. L. Krasnovskiy, S. P. Grigor’iev, R. M. Alyokhina, I. S. Ezhova, I. V. Zolkina, E. O. Loshkareva

“…Particular attention is paid to diagnostic algorithm in case of overt and latent forms of deficit. …”
Get full text

Identifying Hubs Through Influential Nodes in Transportation Network by Using a Gravity Centrality Approach by Worawit Tepsan, Aniwat Phaphuangwittayakul, Saronsad Sokantika, Napat Harnpornchai

Get full text

From Stationary to Nonstationary UAVs: Deep-Learning-Based Method for Vehicle Speed Estimation by Muhammad Waqas Ahmed, Muhammad Adnan, Muhammad Ahmed, Davy Janssens, Geert Wets, Afzal Ahmed, Wim Ectors

“…The process involves matching each pixel of the input frame with a georeferenced orthomosaic using a feature-matching algorithm. Subsequently, a tracking-enabled YOLOv8 object detection model is applied to the frame to detect vehicles and their trajectories. …”
Get full text