A Method for Detecting Fungal Contamination in Paperboard Cartons by J. A. Narciso, M. E. Parish

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Outlier Detection and Explanation Method Based on FOLOF Algorithm by Lei Bai, Jiasheng Wang, Yu Zhou

“…This paper introduces a local outlier detection method named FOLOF (FCM Objective Function-based LOF) through an examination of existing algorithms. …”
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A Method of Printing Defect Detection Based on DCGAN by WANG Hai-tao, GAO Yu-dong, HOU Jian-xin, HE Yong-jun, CHEN De-yun

“…This method adds denoising processing, optimizes the network structure, and improves the accuracy of DCGAN image generation.The experiment shows that the accuracy of the method can be improved by 10% in the defect detection experiment to less than 5 pixels compared with the existing method…”
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An improved Harris corner detection method for honeycomb structures by Pengfei Zheng, Wilson Byiringiro, Weiwei Xie, Zhengkai Jiang, Can Cui, Yongjun Wu

“…This paper proposes an improved Harris vertex extraction method for detecting honeycomb structures. Initially, the influence of parameters on Harris detection results is examined, and an empirical equation is derived to directly determine the optimal parameter values. …”
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Optimization and Validation of Wafer Surface Defect Detection Algorithm Based on RT-DETR by Ao Xu, Yanwei Li, Hongbo Xie, Rui Yang, Jianjie Li, Jiaying Wang

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Pedestrian detection method based on improved YOLOv5 by Shangtao You, Zhenchao Gu, Kai Zhu

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Lightweight UAV Detection Method Based on IASL-YOLO by Huaiyu Yang, Bo Liang, Song Feng, Ji Jiang, Ao Fang, Chunyun Li

“…To address this, we propose the IASL-YOLO algorithm, which optimizes the YOLOv8s model to enhance detection accuracy and lightweight efficiency. …”
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Automatic serving method of volleyball training robot based on improved YOLOv5 and improved Hough transform by Tao Sun, Xiaolong He, Jiajun Zhang

“…However, due to the characteristics of volleyball, such as small size, fast speed, and susceptibility to occlusion and noise interference in complex backgrounds, traditional object detection methods are hard to meet their real-time and accuracy requirements. …”
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SegTrackDetect: A window-based framework for tiny object detection via semantic segmentation and tracking by Aleksandra Kos, Karol Majek, Dominik Belter

“…SegTrackDetect is optimized with inference speed in mind, offering a highly efficient pipeline while providing users with the flexibility to customize models. …”
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Development and Application of a TaqMan RT-qPCR for the Detection of Foot-and-Mouth Disease Virus in Pigs by Changying Dong, Xingyu Xiao, Meiqi Wang, Yajuan Sun, Hui Jin, Yongzhe Zhang, Hongri Zhao, Qianyue Cao, Yanran Yang, Rui Yin

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LLM-MalDetect: A Large Language Model-Based Method for Android Malware Detection by Ruirui Feng, Hui Chen, Shuo Wang, Md Monjurul Karim, Qingshan Jiang

“…Although deep learning methods are widely used for malware detection, they often struggle with stability and adaptability in the face of evolving threats. …”
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Rapid SNP genotyping detection method based on PCR-lateral flow dipstick detection technique by Junfang Jiang, Xiaowei Zhang, Pei Xiong, Xin Huang, Kaizhi Zheng, Yongqing Jiang, Sangang He, Huili Shan

“…Abstract This study established a polymerase chain reaction–lateral flow dipstick (PCR-LFD) method for the visual detection of SNP genotypes. …”
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Optimization of the Method for Spectrofluorimetric Determination of Aluminum Impurities in Substances by E. V. Vishnyakov, A. A. Tolstikova, J. E. Generalova, A. K. Kaldybaeva, I. I. Terninko

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Covert Underwater Acoustic Communication Using Marine Ambient Noise Without Detectable Features by Biao Liu, Jianchun Huang, Ning Jia, Biao Wang, Shengming Guo

“…And the results of cyclic spectrum, cepstrum and square frequency-doubling methods show that the signal of the studied scheme does not have any detectable features.…”
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A novel attention based vision transformer optimized with hybrid optimization algorithm for turmeric leaf disease detection by R. Selvaraj, M. S. Geetha Devasena

“…Abstract Turmeric leaf disease detection is essential to maintain the crop health and optimize the yield. …”
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An intelligent optimized object detection system for disabled people using advanced deep learning models with optimization algorithm by Marwa Obayya, Fahd N. Al-Wesabi, Menwa Alshammeri, Huda G. Iskandar

“…In this article, a novel Object Detection System for Disabled People Using Advanced Deep Learning Models and Sparrow Search Optimization (ODSDP-ADLMSSO) approach is proposed. …”
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NEOADJUVANT CHEMOTHERAPY FOR EPITHELIAL OVARIAN CANCER. MODERN METHODS AND PATIENTS SELECTION CRITERIA by A. E. Solopova, A. A. Chashchin, A. G. Solopova, S. N. Gurov, A. D. Makatsariya

“…Because ofvague clinical picture and the lack of effective methods for early detection and screening, more than 60% of cases are diagnosed at stage III-IV, after the spread of tumor beyond the pelvis. …”
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Novel Fault Detection Method for Rolling Bearings Based on Improved Variational Modal Decomposition Method by Xiaoli Huang, Haifeng Xu, Junying Cui

“…To enhance the precision of rolling bearing fault detection and lessen the likelihood of safety mishaps, this paper proposes a fault detection method grounded in improved variational mode decomposition. …”
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Research on performance optimizations for TCM-KNN network anomaly detection algorithm by LI Yang1, GUO Li1, LU Tian-bo3, TIAN Zhi-hong1

“…Based on TCM-KNN（transductive confidence machine for K-nearest neighbors） algorithm,the filter-based feature selection and cluster-based instance selection methods were used towards optimizing it as a lightweight network anomaly detection scheme,which not only reduced its complex feature space,but also acquired high quality instances for training.A series of experimental results demonstrate the two methods for optimizations are actually effective in greatly reducing the computational costs while ensuring high detection performances for TCM-KNN algorithm.Therefore,the two methods make TCM-KNN be a good scheme for a lightweight network anomaly detection in practice.…”
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Optimized molecule detection in localization microscopy with selected false positive probability by Miroslav Hekrdla, David Roesel, Niklas Hansen, Soumya Frederick, Khalilullah Umar, Vladimíra Petráková

“…Here, we present an optimized molecule detection method which combines probabilistic thresholding with theoretically optimal filtering. …”
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