Weapon detection with FMR-CNN and YOLOv8 for enhanced crime prevention and security by Shanthi P, Manjula V

“…It has been combined with YOLOv8 to increase the real-time detection speed and localization accuracy significantly. …”
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Financial Fraud Detection on Social Networks Based on a Data Mining Approach by Victoria Bozhenko, Serhii Mynenko, Artem Shtefan

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Opioid Crisis Detection in Social Media Discourse Using Deep Learning Approach by Muhammad Ahmad, Grigori Sidorov, Maaz Amjad, Iqra Ameer, Ildar Batyrshin

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Asynchronous Real-Time Federated Learning for Anomaly Detection in Microservice Cloud Applications by Mahsa Raeiszadeh, Amin Ebrahimzadeh, Roch H. Glitho, Johan Eker, Raquel A. F. Mini

“…Distributed data analysis techniques based on machine learning (ML) have recently gained attention in detecting anomalies in microservice systems. ML-based anomaly detection techniques mostly require centralized data collection and processing, which may raise scalability and computational issues in practice. …”
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Design and Test of Real-Time Detection System for Cleaning Loss of Rapeseed Harvester by Yao Yang, Min Zhang, Tao Jiang, Gang Wang, Lan Jiang

“…Aiming to address the problem of low recognition accuracy in the current cleaning loss detection system of rapeseed harvesters, a rapeseed cleaning loss detection system was developed using the energy distinction method based on the principle of impact piezoelectricity. …”
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RT-DETR-Smoke: A Real-Time Transformer for Forest Smoke Detection by Zhong Wang, Lanfang Lei, Tong Li, Xian Zu, Peibei Shi

“…Smoke detection is crucial for early fire prevention and the protection of lives and property. …”
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Intelligent Inter- and Intra-Row Early Weed Detection in Commercial Maize Crops by Adrià Gómez, Hugo Moreno, Dionisio Andújar

“…Faster R-CNN and RT-DETR models achieved a mAP of 91.9% and 97.2%, respectively, with processing capabilities of 11 and 27 FPS. Subsequent hardware evaluations identified YOLOv11m as the most viable solution for field deployment, demonstrating high precision with a mAP of 94.4% and lower energy consumption. …”
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SympCoughNet: symptom assisted audio-based COVID-19 detection by Yuhao Lin, Xiu Weng, Bolun Zheng, Weiwei Zhang, Zhanjun Bu, Yu Zhou

“…Recent studies have explored COVID-19 detection using acoustic health signals, such as cough and breathing sounds. …”
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Optical detection of single and multiple seeding using an innovative shape-recognition algorithm by Ali Ghaffarnezhad, Hossein Navid, Hadi Karimi

“…This enables shape-based processing and recognition of passing seeds regardless of type and size, effectively reducing counting errors. …”
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Modality-based Modeling with Data Balancing and Dimensionality Reduction for Early Stunting Detection by Yohanes Setiawan, Mohammad Hamim Zajuli Al Faroby, Mochamad Nizar Palefi Ma’ady, I Made Wisnu Adi Sanjaya, Cisa Valentino Cahya Ramadhani

“…This high prevalence underscores the urgent need for effective early detection methods. Traditional data mining approaches for stunting detection have primarily focused on unimodal data, either tabular or image data alone, limiting the comprehensiveness and accuracy of the detection models. …”
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AI and IoT-powered edge device optimized for crop pest and disease detection by Jean Pierre Nyakuri, Celestin Nkundineza, Omar Gatera, Kizito Nkurikiyeyezu, Gervais Mwitende

“…The system consists of a high-definition camera for real-time plant image acquisition, a Raspberry-Pi 5 integrated with the Tiny-LiteNet model for edge processing, and a GSM/GPRS module for cloud communication. …”
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OW-YOLO: An Improved YOLOv8s Lightweight Detection Method for Obstructed Walnuts by Haoyu Wang, Lijun Yun, Chenggui Yang, Mingjie Wu, Yansong Wang, Zaiqing Chen

“…To enhance efficiency and multi-scale feature fusion, we incorporated the HSFPN (High-Level Screening Feature Pyramid Network) and redesigned the detection head by replacing the original head with the more efficient LADH detection head while removing the head processing 32 × 32 feature maps. …”
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A real-time framework for opinion spam detection in Arabic social networks by Cherry A. Ezzat, Abdullah M. Alkadri, Abeer Elkorany

“…This framework integrates advanced machine learning models, sentiment Analysis, and real-time processing techniques to achieve accurate and efficient detection of opinion spam. …”
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The possibility of detecting non-x-ray fragments in the body of the wounded by the contact method by Oleksandr Salenko, Yuriy Danylchenko, Viktor Cherniak, Vadym Orel, Valentyna Datsenko, Bohdan Salenko, Kostiantyn Karpenko

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Semantic-Aware Remote Sensing Change Detection with Multi-Scale Cross-Attention by Xingjian Zheng, Xin Lin, Linbo Qing, Xianfeng Ou

“…As deep learning strives, Convolutional Neural Networks (CNNs) have shown their effects in image processing applications. There are two problems in old-school change detection techniques: First, the techniques do not fully use the effective information of the global and local features, which causes their semantic comprehension to be less accurate. …”
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PECULIARITIES OF THE SURFACE FLAW DETECTION BY ELASTIC WAVES SIMULATED BY PULSE-LASER RADIATION by А. R. Bаеv, A. I. Мitkovets, D. A Коstiuk, G. E. Konovalov

“…Laser pulse simulation of the surface waves and its receiving by contact piezoelectric probes is perspective direction to detect surface defects. The aim of this work was to determine optimal conditions for detection of the real fatigue cracks of nearly microns width and surface pores by moving depending on the position of the center of a laser beam laser beam spot. …”
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YOLO-Ginseng: a detection method for ginseng fruit in natural agricultural environment by Zhedong Xie, Zhuang Yang, Chao Li, Zhen Zhang, Jiazhuo Jiang, Hongyu Guo

“…Due to the complexity and density of the growth environment of ginseng fruits, some newer visual detection methods currently fail to meet the requirements for accurate and rapid detection of ginseng fruits. …”
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A novel method for estrous cycle staging using supervised object detection by Benjamin Babaev, Saachi Goyal, Tushar Arora, Anita Autry, Rachel A. Ross

“…This study assesses the feasibility and reliability of two previous image classification models as well as introducing an alternative method of machine learning to address the challenges posed by manual vaginal cytology and image classification. An object detection-based machine learning model, Object Detection Estrous Staging (ODES), was employed to identify cell types throughout the estrous cycle in mice. …”
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A Parameter-Free Topological Disassembly-Guided Method for Hyperspectral Target Detection by Xiaotong Sun, Lina Zhuang, Lianru Gao, Hongmin Gao, Xu Sun, Bing Zhang

“…Leveraging this fact, hyperspectral target detection can perform pixel-level target localization. …”
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STLNet: Symmetric Transformer Learning Network for Remote Sensing Image Change Detection by Liye Mei, Andong Huang, Zhaoyi Ye, Yaxiaer Yalikun, Ying Wang, Chuan Xu, Wei Yang, Xinghua Li

“…Change detection (CD) signifies a pivotal domain within remote sensing image processing. …”
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