LMD_YOLO: A Lightweight and Efficient Model for Pavement Defects Detection by Shuai He, Ye Yuan, Bingyang Yin

“…Traditional manual inspection methods are inefficient and insufficient for the increasing demand for road maintenance. While automated detection systems are essential, existing approaches face challenges such as complex road environments, diverse defect types, and high computational requirements for real-time processing. …”
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Stable Diffusion-Driven Conditional Image Augmentation for Transformer Fault Detection by Wenlong Liao, Yiping Jiang, Rui Liu, Yun Feng, Yu Zhang, Jin Hou, Jun Wang

“…Existing substation equipment image data augmentation models face challenges such as high dataset size requirements, difficult training processes, and insufficient condition control. This paper proposes a transformer equipment image data augmentation method based on a Stable Diffusion model. …”
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Deep learning-based detection of wine bottle capsules for contamination prevention by Diego Caballero-Ramírez, Guilherme Tortorella, Jorge García-Alcaraz, Emilio Jiménez-Macías, Jorge Limon-Romero, Yolanda Baez-Lopez, Diego Tlapa

“…Traditional capsule detection in the wine industry primarily relies on visual inspection, thus prone to human error. …”
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Aggregation‐induced emission biomarkers for early detection of orthopaedic implant failure by Javad Tavakoli, Qi Hu, Joanne L. Tipper, Youhong Tang

“…The study then delves into how AIE luminogens (AIEgens) can play a crucial role in detecting processes such as osteogenesis and osteoclastogenesis. …”
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Foundation Models and Fine-Tuning: A Benchmark for Out of Distribution Detection by Francesco Cappio Borlino, Lorenzo Lu, Tatiana Tommasi

“…With this work, we introduce a new benchmark covering realistic yet harder OOD detection tasks to properly assess the performance of large pretrained models. …”
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ACD-Net: An Abnormal Crew Detection Network for Complex Ship Scenarios by Zhengbao Li, Heng Zhang, Ding Gao, Zewei Wu, Zheng Zhang, Libin Du

“…Experimental results indicate that ACD-Net achieves 92.3% accuracy in detecting abnormal behavior and a 69.6% matching rate for identity recognition, with a processing time of under 39.5 ms per frame at a 1080P resolution.…”
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MSA: Mamba Semantic Alignment Networks for Remote Sensing Change Detection by Zhenyang Huang, Peng Duan, Genji Yuan, Jinjiang Li

“…However, directly aggregating these features without addressing spatial misalignment due to resolution changes can compromise the accuracy of change detection. In addition, there is a need to address the challenge of inadequate long-range dependency modeling in image processing. …”
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Synchronous detection of cosmic rays and correlated errors in superconducting qubit arrays by Patrick M. Harrington, Mingyu Li, Max Hays, Wouter Van De Pontseele, Daniel Mayer, H. Douglas Pinckney, Felipe Contipelli, Michael Gingras, Bethany M. Niedzielski, Hannah Stickler, Jonilyn L. Yoder, Mollie E. Schwartz, Jeffrey A. Grover, Kyle Serniak, William D. Oliver, Joseph A. Formaggio

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MSO‐DETR: Metric space optimization for few‐shot object detection by Haifeng Sima, Manyang Wang, Lanlan Liu, Yudong Zhang, Junding Sun

“…Finally, the decoder processes the high‐level feature information as the decoding of the query object and detects objects by predicting their locations and corresponding task encodings. …”
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Developing an AI-based application for caries index detection on intraoral photographs by Niha Adnan, Syed Muhammad Faizan Ahmed, Jai Kumar Das, Sehrish Aijaz, Rashna Hoshang Sukhia, Zahra Hoodbhoy, Fahad Umer

“…Abstract This study evaluates the effectiveness of an Artificial Intelligence (AI)-based smartphone application designed for decay detection on intraoral photographs, comparing its performance to that of junior dentists. …”
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Marine Object Detection Using LiDAR on an Unmanned Surface Vehicle by Yvan Eustache, Cedric Seguin, Antoine Pecout, Alexandre Foucher, Johann Laurent, Dominique Heller

“…While most existing datasets focus on 2D object detection, this research introduces a novel 3D object detection approach that relies exclusively on LiDAR (Light Detection And Ranging) data, specifically tailored for small Unmanned Surface Vehicles (USVs), where energy efficiency and computational constraints are key challenges. …”
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Geo‐spatial traffic behaviour analysis and anomaly detection for ITS applications by Erkut Akdag, Giacomo D'Amicantonio, Julien Vijverberg, David Stajan, Bart Beers, Peter H. N. De With, Egor Bondarev

“…This article presents a video‐based traffic analysis and anomaly detection system covering the complete data processing pipeline, including sensor data acquisition, analysis, and digital twin reconstruction. …”
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Detection of surface defects in soybean seeds based on improved Yolov9 by Chuanming Liu, Yifan Shen, Feng Mu, Haixia Long, Anas Bilal, Xia Yu, Qi Dai

“…Abstract As one of the important indicators of soybean seed quality identification, the appearance of soybeans has always been of great concern to people, and in traditional detection, it is mainly through the naked eye to check whether there are defects on its surface. …”
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Applications of aeromagnetic data to detect the Basement Tectonics of Eastern Yemen region by Ahmed S. Abu El-Ata, Ahmed A. EI-Khafeef, Ashraf E. Ghoneimi, Sami H. Abd Alnabi, Marwan A. Al-Badani

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An improved chilli pepper flower detection approach based on YOLOv8 by Zhi-Yong Wang, Cui-Ping Zhang

“…The BERT model is then used to encode conditional information, which is integrated into the backbone via the ELAN layer to assist the training and inference processes. Finally, an improved MPDIoU is applied to increase detection accuracy while increasing flexibility. …”
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Deep Ensemble Learning With Pruning for DDoS Attack Detection in IoT Networks by Makhduma F. Saiyedand, Irfan Al-Anbagi

“…DDoS attacks have evolved into complex multi-vector threats that high-volume and low-volume attack strategies, posing challenges for detection using traditional methods. These challenges highlight the importance of reliable detection and prevention measures. …”
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FDAE: Lightweight Privacy Protection Based on Face Detection and Image Encryption by Li You, Qianqian Liu, Shuai Li, Tianyu Yang

“…To address this issue, we propose Face Detection and Encryption (FDAE), a lightweight privacy protection framework. …”
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Phage based biosensors: Enhancing early detection of emerging pathogens in diagnostics by Pooja Sachdeva, Gopal Nath, Utkarsh Jain

“…Bacteriophage-based biosensors provide simplified detection processes in contrast to conventional approaches, which makes them invaluable in environmental and clinical situations. …”
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Anomaly detection in encrypted network traffic using self-supervised learning by Sadaf Sattar, Shumaila Khan, Muhammad Ismail Khan, Ainur Akhmediyarova, Orken Mamyrbayev, Dinara Kassymova, Dina Oralbekova, Janna Alimkulova

“…On CIC-Darknet2020, ISCX VPN (nonVPN), and UNSW-NB15 datasets, ET-SSL achieves 96.8 percent accuracy, 92.7 percent true positive rate (TPR), 1.2 percent false positive rate (FPR), and can do real time anomaly detection with 15 ms to 25 ms latency and speeds up to 10 Gbps processing which makes it suitable for high speed and resource constrained environments. …”
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New Heuristics Method for Malicious URLs Detection Using Machine Learning by Maher Kassem Hasan

“…Logistic Regression shows promising results to detect the malicious URLs, according to Vanitha and Vinodhini. …”
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