Mobile malware detection method using improved GhostNetV2 with image enhancement technique by Yao Du, CaiXia Gao, Xi Chen, MengTian Cui, LiLi Xu, AoJi Ning

“…Abstract In recent years, image-based feature extraction and deep learning classification methods are widely used in the field of malware detection, which helps improve the efficiency of automatic malicious feature extraction and enhances the overall performance of detection models. …”
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YOLO11-ARAF: An Accurate and Lightweight Method for Apple Detection in Real-World Complex Orchard Environments by Yangtian Lin, Yujun Xia, Pengcheng Xia, Zhengyang Liu, Haodi Wang, Chengjin Qin, Liang Gong, Chengliang Liu

“…Third, we applied knowledge distillation to transfer the enhanced model to a compact YOLO11n framework, maintaining high detection efficiency while reducing computational cost, and optimizing it for deployment on devices with limited computational resources. …”
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SIGKD: A Structured Instance Graph Distillation Method for Efficient Object Detection in Remote Sensing Images by Fangzhou Liu, Wenzhe Zhao, Haoxiang Qi, Guangyao Zhou

“…To this end, this paper introduces an innovative deep structured instance graph distillation method that endeavors to delve into the underlying information between instance features, thereby optimizing detection performance. …”
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YOLORM: An Advanced Key Point Detection Method for Accurate and Efficient Rotameter Reading in Low Flow Environments by Huang Yong, Xia Xing, Xiao Shengwang

“…To address these issues, this study introduces YOLORM, an advanced key point detection method for rotameters, built upon the YOLOv8n model. …”
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Research on Concrete Crack and Depression Detection Method Based on Multi-Level Defect Fusion Segmentation Network by Zhaochen Yao, Yanjuan Li, Hao Fu, Jun Tian, Yang Zhou, Chee-Loong Chin, Chau-Khun Ma

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A Ratiometric Fluorescence Method Based on PCN-224-DABA for the Detection of Se(IV) and Fe(III) by Mao-Ling Luo, Guo-Ying Chen, Wen-Jia Li, Jia-Xin Li, Tong-Qing Chai, Zheng-Ming Qian, Feng-Qing Yang

“…After the experimental parameters were systematically optimized, the developed method shows good selectivity and interference resistance for Fe(III) and Se(IV) detection, and has good linearity in the ranges of 0.01–4 μM and 0.01–15 μM for Fe(III) and Se(IV) with a limit of detection of 0.045 μM and 0.804 μM, respectively. …”
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A low illumination target detection method based on a dynamic gradient gain allocation strategy by Zhiqiang Li, Jian Xiang, Jiawen Duan

“…This method optimizes the model through enhancements in multi-scale feature fusion, feature extraction, detection head, and loss function. …”
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LDDFSF-YOLO11: A Lightweight Insulator Defect Detection Method Focusing on Small-Sized Features by Peng Shen, Keyu Mei, Huiqiong Cao, Yongxiang Zhao, Guoqing Zhang

“…This study proposes a lightweight insulator defect detection method (LDDFSF-YOLO11) that focuses on small-sized features to efficiently detect and identify insulator defects. …”
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Development and evaluation of fluorescent recombinase polymerase amplification (RPA)-based method for rapid detection of Necator americanus. by Jia-Rui Liang, Shu-Ning Yan, Han-Yin Yang, Shuo Yang, Yu-Juan Shen, Le-Le Huo, Yu-Chun Cai, Zi-Ran Mo, Bin Zheng, Bin Xu, Wei Hu

“…The method's detection limit was assessed via serial dilution of genomic DNA. …”
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ANN-SVM-IP: An Innovative Method for Rapidly and Efficiently Detecting and Classifying of External Defects of Apple Fruits by Nashaat M. Hussain Hassan, Mohamed M. Hassan Mahmoud, Mohamed A. Ismeil, M. Mourad Mabrook, A. A. Donkol, A. M. Mabrouk

“…The first phase attempts to detect exterior defects in apples by applying two proposed convolution kernels that were capable of identifying damaged sections of apples. …”
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Analysis and Selection Method for Radar Echo Features in Challenging Scenarios by Yunlong Dong, Xiao Luo, Hao Ding, Ningbo Liu, Zheng Cao

“…Feature selection was then performed from the clusters based on mean feature value, coefficient of variation, and Bhattacharyya distance, yielding an optimal feature set for the current scenario. Validation on the SDRDSP dataset under sea states 4–5 showed that the proposed method achieved an average detection probability 10.64% higher than existing methods. …”
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Implementation of medication reviews to optimize the use of medications in Swiss nursing homes: a mixed-methods study by Stephanie Mena, Julie Dubois, Marie Schneider, Anne Niquille

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Edge detection of aerial images using artificial bee colony algorithm by Nurdan Akhan Baykan, Elif Deniz Yelmenoglu

“…So the edges were found without the need to examine all pixels in the image. Our improved method’s results are compared with other results found in the literature according to detection error and similarity calculations’. …”
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A novel feature selection technique: Detection and classification of Android malware by Sandeep Sharma, Prachi, Rita Chhikara, Kavita Khanna

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A Novel Overload Control Algorithm for Distributed Control Systems to Enhance Reliability in Industrial Automation by Taikyeong Jeong

“…The proposed method is integrated with a modular multi-functional processor (MFP) architecture, designed to enhance system reliability, optimize resource utilization, and improve fault resilience under dynamic operational conditions. …”
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Test Case Prioritization Based on Neural Networks Classification: A Replication Study and Hyper-Parameter Optimization Using Taguchi Methods by Andreea Vescan, Cristina-Maria Tiutin

“…Running all test cases would be time-consuming, however, Test Case Prioritization (TCP) could help in this direction by ordering the execution of test cases considering various criteria, for example, fault detection and time constraint. This research aims to achieve two main objectives: the first is to replicate the experiments outlined in the original article, and the second is to determine the optimal hyperparameters for existing AI models, with a particular focus on neural networks. …”
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An ultrasonic-AI hybrid approach for predicting void defects in concrete-filled steel tubes via enhanced XGBoost with Bayesian optimization by Shuai Wan, Shipan Li, Zheng Chen, Yunchao Tang

“…The method not only detects the presence of void defects but also quantifies their extent, advancing CFST inspection from qualitative analysis to quantitative assessment.…”
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Mask-Space Optimized Transformer for Semantic Segmentation of Lithium Battery Surface Defect Images by Daozong Sun, Jiasi Chen, Peiwen Wu, Yucheng Pan, Hongsheng Zhong, Zihao Deng, Xiuyun Xue

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A critical review of conventional and emerging technologies for the detection of contaminants, allergens and adulterants in plant-based milk alternatives by Zahra Karimi, Katrina Campbell, Zoltan Kevei, Andrea Patriarca, Anastasios Koidis, Maria Anastasiadi

“…Despite these technological innovations, important challenges remain, particularly in optimizing sample preparation protocols and improving DNA-based methods efficiency. …”
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HPD-Kit: a comprehensive toolkit for pathogen detection and analysis by Tengcheng Que, Tengcheng Que, Tengcheng Que, Wen Li, Wen Li, Wen Li, Zhining Zhang, Yunlin He, Kangming He, Hong Qiu, Hong Qiu, Juan Huang, Zhiwei Lu, Chunlan Jiang, Yongjian Huang, Hui Huang, Qiuyu Wu, Panyu Chen, Yanling Hu, Yanling Hu, Yanling Hu, Wenjian Liu

“…We developed HPD-Kit (Henbio Pathogen Detection Toolkit) with an integrated pathogen database to simplify pathogen detection and analysis for both human and animal pathogens.MethodsHPD-Kit includes a specifically curated pathogen database and optimized bioinformatics pipeline. …”
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