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

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OPTIMIZING ELDERLY HEALTH THROUGH NUTRITIONAL COUNSELING EFFORTS AND EARLY DETECTION by Rindayati, Abd Nasir, Susilo Harianto, Emuliana Sulpat, Hafna Ilmy Muhalla, Sofiatun

“…Objective: This activity aims to increase knowledge about optimizing the health of the elderly through nutritional counseling and early detection status. …”
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YOLO-WWBi: An Optimized YOLO11 Algorithm for PCB Defect Detection by Yi Zhao, Zhidi Jiang

“…This paper introduces a YOLO-WWBi based on improved YOLO11 framework method for the detection of surface defects. First, an improved weighted and re-parameterized ghost multi-scale feature aggregation module (WRGMSFA) is designed. …”
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An optimize canny algorithm with traditional machine learning for edge detection enhancement by Russel Lafta, Zainab Sultani

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AI-Based Anomaly Detection and Optimization Framework for Blockchain Smart Contracts by Hassen Louati, Ali Louati, Elham Kariri, Abdulla Almekhlafi

“…Experimental results on Ethereum transaction datasets demonstrate that the proposed method achieves significant improvements in anomaly detection accuracy and computational efficiency compared to conventional approaches, offering a practical and scalable solution for smart contract monitoring and optimization.…”
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Optimizing Feature Selection for IOT Intrusion Detection Using RFE and PSO by zahraa mehssen agheeb Alhamdawee

“…These results highlight the importance of feature selection in optimizing classifiers for IoT intrusion detection , and achieved perfect scores (1,00) across all metrics.The aim from this paper is to enhance intrusion detection in iot networks by designing adual stage feature selection method based on RFE and PSO.…”
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Optimized YOLOv8 framework for intelligent rockfall detection on mountain roads by Peng Peng, Langchao Gao, Jiachun Li, Hongzhen Zhang

“…Experimental results demonstrate that Yolov8-GCB improves AP@0.5 and AP@0.75 by 1.2% and 1%, respectively, while reducing the number of parameters by 14.1% and the GFLOPs by 16.1% and increasing inference speed by 20.65%. This method provides an effective technological solution for real-time rockfall detection on embedded devices and can be extended to other disaster scenarios, such as landslides and debris flows, in regions with limited infrastructure.…”
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Damage Detection of Steel Roof Systems Using Planet Optimization Algorithm by Thanh Sang-To, Van The Huy-Nguyen, Samir Khatir, The Vi-Huynh, Hoang Le-Minh, Thanh Cuong-Le

“…In this work, an inverse method for damage detection studies is developed based on Planet Optimization Algorithm (POA). …”
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Cardiovascular Disease Detection through Innovative Imbalanced Learning and AUC Optimization by Karthikeyan Palanisamy, Krishnaveni Krishnasamy, Praba Venkadasamy

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Deception detection based on micro-expression and feature selection methods by Shusen Yuan, Zilong Shao, Zhongjun Ma, Ting Cao, Hongbo Xing, Yong Liu, Yewen Cao

“…In this paper, a deception detection framework is proposed that incorporates a novel set of features and a unique deception detection method based on facial expressions, particularly micro-expressions. …”
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Deep Learning Methods and UAV Technologies for Crop Disease Detection by S. G. Mudarisov, I. R. Miftakhov

“…It focuses on evaluating deep learning techniques and unmanned aerial vehicles for crop disease detection. (Research purpose) The study aims to review and systemize scientific literature on the application of unmanned aerial vehicles, remote sensing technologies and deep learning 24 methods for the early detection and prediction of crop diseases. …”
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MS3D: A Multi-Scale Feature Fusion 3D Object Detection Method for Autonomous Driving Applications by Ying Li, Wupeng Zhuang, Guangsong Yang

“…This study introduces MS3D (Multi-Scale Feature Fusion 3D Object Detection Method), a novel approach to 3D object detection that leverages the architecture of a 2D Convolutional Neural Network (CNN) as its core framework. …”
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Advancing skin cancer detection integrating a novel unsupervised classification and enhanced imaging techniques by Md. Abdur Rahman, Nur Mohammad Fahad, Mohaimenul Azam Khan Raiaan, Mirjam Jonkman, Friso DeBoer, Sami Azam

“…Abstract Skin cancer, a severe health threat, can spread rapidly if undetected. Therefore, early detection can lead to an advanced and efficient diagnosis, thus reducing mortality. …”
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Advanced Financial Fraud Malware Detection Method in the Android Environment by Jaeho Shin, Daehyun Kim, Kyungho Lee

“…Five ML algorithms were used to evaluate the proposed approach, and the optimal hyperparameter values for each algorithm were obtained using a grid search method. …”
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Local Outlier Detection Method Based on Improved K-means by Yu ZHOU, Hao XIA, Xuezhen YUE, Peichong WANG

“…In the UCI dataset, the KLOD method achieves optimal detection accuracy in 10 datasets, with detection accuracy on par with KNN and LOF in 2 datasets. …”
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Target Detection Label Assignment Method Based on Global Information by ZHANG Pei-pei, LU Zhen-yu

“…Aiming at this problem, this paper proposes a target detection label allocation method based on global information, which uses the assignment method to establish a global optimal label allocation mathematical model based on the loss function in the model training stage, and gives the fusion mode of the model with other object detection models, and the role played by the method in the process of object detection. …”
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BOLT LOOSENING ANGLE DETECTION METHOD BASED ON COLOR SEGMENTATION by KANG Jingjie, ZHANG Lijun, SUN Yuandong, YANG Xiaoyu, WANG Ruolan, ZHAO Tianhao

“…To achieve quantitative detection of bolt loosening angles through single frame images, a method based on color segmentation and connected domain feature processing was designed. …”
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Contrastive learning method for leak detection in water distribution networks by Rongsheng Liu, Tarek Zayed, Rui Xiao

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Automated Global Method to Detect Rapid and Future Urban Areas by Heather S. Sussman, Sarah J. Becker

“…However, methods to detect rapid urbanization are currently absent. …”
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Optimization of machine learning methods for de-anonymization in social networks by Nurzhigit Smailov, Fatima Uralova, Rashida Kadyrova, Raiymbek Magazov, Akezhan Sabibolda

“…In experiments conducted on real and synthetic data, the optimized models consistently outperform baseline methods on average. …”
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