Iterative Assessment of Edge Criticality: Efficiency Enhancement or Hidden Insufficiency Detection by Vasily Lubashevskiy, Hamza Ejjbiri, Ihor Lubashevsky

Get full text

Flexible Au tape-based SERS sensor for atmospheric microplastic detection by Zijin Hong, Yiyan Zhang, Fengkui Duan, Jingjing Du, Zhenli Sun

Get full text

Insulator Defect Detection Algorithm Based on Improved YOLOv11n by Junmei Zhao, Shangxiao Miao, Rui Kang, Longkun Cao, Liping Zhang, Yifeng Ren

“…Environmental factors often lead to insulator defects, highlighting the need for accurate detection methods. This paper proposes an enhanced defect detection approach based on a lightweight neural network derived from the YOLOv11n architecture. …”
Get full text

A Review on Automated Detection and Identification Algorithms for Highway Pavement Distress by Zhenglong Lv, Zhexin Hao, Yuhan Zhu, Cong Lu

“…This review systematically examines the evolution of pavement distress detection, covering three key phases: manual inspection, semi-automated systems, and non-destructive automated methods. …”
Get full text

A Multimodal Semantic-Enhanced Attention Network for Fake News Detection by Weijie Chen, Yuzhuo Dang, Xin Zhang

“…Finally, the model is optimized via cross-entropy loss with entropy minimization. …”
Get full text

Advanced strategy for cancer detection based on volatile organic compounds in breath by Ziqi Jia, Yiwen Jiang, Tongxuan Shang, Heng Cao, Jiayi Li, Lin Cong, Pengming Pu, Hengyi Xu, Yuchen Liu, Yansong Huang, Dongxu Ma, Jiang Wu, Ruijie Zhou, Xiang Wang, Chang bao Han, Jiaqi Liu

“…Two primary methodologies are employed for VOCs detection: mass spectrometry (MS)-based techniques, which provide high-precision identification and quantification of individual compounds, and sensor-based pattern recognition methods, which detect disease-specific VOC signatures. …”
Get full text

UNet-Based End-to-End Anomaly Detection With Computational Hyperspectral Imaging by Weiming Shi, Junren Wen, Yipeng Chen, Yu Shao, Haiqi Gao, Xuehui Wang, Chenying Yang

“…Most existing hyperspectral anomaly detection methods are developed and validated on numerical datasets, focusing on simulations rather than practical applications. …”
Get full text

Aggregation‐induced emission biomarkers for early detection of orthopaedic implant failure by Javad Tavakoli, Qi Hu, Joanne L. Tipper, Youhong Tang

“…Unfortunately, current clinical practices lack effective methods for the early detection of implant failure, and there is a noticeable absence of strategies utilizing molecular markers to identify post‐surgery implant issues. …”
Get full text

Research Progress on the Application of Nanoenzyme Electrochemical Sensors for Detecting Zearalenone in Food by Guoqiang Guan, Zhiyuan Lin, Jingya Qian, Feng Wang, Liang Qu, Bin Zou

“…Secondly, the advantages and disadvantages of traditional detection methods and new detection technologies are analyzed, and the application progress of electrochemical sensors in ZEN detection is discussed, especially aptamer electrochemical sensors, immune-electrochemical sensors, and nanoenzyme electrochemical sensors. …”
Get full text

SSD-YOLO: a lightweight network for rice leaf disease detection by Canlin Pan, Shen Wang, Shen Wang, Yahui Wang, Chaoyang Liu

“…This study proposes an improved YOLOv8-based rice disease detection method (SSD-YOLO) to enhance diagnostic accuracy and efficiency. …”
Get full text

Multi-defect detection and classification for aluminum alloys with enhanced YOLOv8. by Ying Han, Xingkun Li, Gongxiang Cui, Jie Song, Fengyu Zhou, Yugang Wang

“…However, state-of-the-art material defect detection methods have low detection accuracy and inaccurate defect target frame problems. …”
Get full text

A Defect Detection Algorithm for Optoelectronic Detectors Utilizing GLV-YOLO by Xinfang Zhao, Qinghua Lyu, Hui Zeng, Zhuoyi Ling, Zhongsheng Zhai, Hui Lyu, Saffa Riffat, Benyuan Chen, Wanting Wang

“…To meet the demands of real-time and accurate defect detection, this paper introduces an optimization algorithm based on the GLV-YOLO model tailored for photodetector defect detection in manufacturing settings. …”
Get full text

YOLO-GCOF: A Lightweight Low-Altitude Drone Detection Model by Wanjun Yu, Kongxin Mo

“…These concerns underscore the urgent need for low-altitude drone object detection. Traditional radar detection methods often struggle to detect small drones at low altitudes. …”
Get full text

YOLOv9-GSSA model for efficient soybean seedlings and weeds detection by Baihe Liang, Liangchen Hu, Guangxing Liu, Peng Hu, Shaosheng Xu, Biao Jie

“…Challenges include the small size and morphological similarity of seedlings and weeds, complicating conventional detection methods. To tackle these issues, we propose a real-time detection algorithm called YOLOv9-GSSA. …”
Get full text

Big Data-Driven Deep Learning Ensembler for DDoS Attack Detection by Abdulrahman A. Alshdadi, Abdulwahab Ali Almazroi, Nasir Ayub, Miltiadis D. Lytras, Eesa Alsolami, Faisal S. Alsubaei

“…The increasing threat of Distributed DDoS attacks necessitates robust, big data-driven methods to detect and mitigate complex Network and Transport Layer (NTL) attacks. …”
Get full text

Artificial Intelligence in Wind Turbine Fault Detection and Diagnosis: Advances and Perspectives by Nejad Alagha, Anis Salwa Mohd Khairuddin, Zineddine N. Haitaamar, Obada Al-Khatib, Jeevan Kanesan

Get full text

Detecting microcephaly and macrocephaly from ultrasound images using artificial intelligence by Abraham Keffale Mengistu, Bayou Tilahun Assaye, Addisu Baye Flatie, Zewdie Mossie

“…Methods Data were collected from three Ethiopian healthcare facilities to increase model generalizability. …”
Get full text

eDNA‐Based Detection of Invasive Crayfish and Crayfish Plague in Estonia by Michael Oliewo Aluma, Katrin Kaldre, David A. Strand, Margo Hurt, Lilian Pukk

“…Although we could not establish a convincing quantitative correlation between the estimated P. leniusculus eDNA concentration and crayfish population density, we conclude that the eDNA approach is promising and, with further optimization, it can be integrated into routine monitoring of crayfish and crayfish plague pathogen as a supplement to traditional trapping methods.…”
Get full text

Sonar-based object detection for autonomous underwater vehicles in marine environments by Zhen Wang, Zhen Wang, Jianxin Guo, Shanwen Zhang, Yucheng Zhang

“…Extensive experimental results demonstrate that our method outperforms state-of-the-art detectors on the Underwater Acoustic Target Detection (UATD) dataset. …”
Get full text

Early Detection of Autism Spectrum Disorder Through Automated Machine Learning by Khafsa Ehsan, Kashif Sultan, Abreen Fatima, Muhammad Sheraz, Teong Chee Chuah

“…This research proposes leveraging automated machine learning (AUTOML) to streamline the diagnostic process and enhance its accuracy. <b>Methods</b>: In this study, by collecting data from various rehabilitation centers across Pakistan, we applied a specific AUTOML tool known as Tree-based Pipeline Optimization Tool (TPOT) for ASD detection. …”
Get full text