Assessment of Different Detection Methods in Bacteria Survival on Cotton and Polyester Textiles by Katarzyna Jekiel, Justyna Syguła-Cholewińska

“…Moreover P. aeruginosa turned out to be a best indicator for use in survival experiments, where too intensive growth or no growth was observed, hence not detectable on media. Survival microorganisms in viable state on textile are at least four weeks and can be prolonged in optimal condition.…”
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Research on flight detection and data compliance analysis methods for ice meteorological by DING Junliang

“…This article analyzes the background and limitations of the formation of the icing meteorological standard in Appendix C of CCAR25, and proposes a flight method for ice detection using an icing experimental research aircraft. …”
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An Accurate GNSS Spoofing Detection Method Based on Multiscale Eye Diagrams by Chuanyu Wu, Yuanfa Ji, Xiyan Sun

“…The results show that the MSC-MMP outperforms traditional edge extraction algorithms by over 0.072 in terms of the optimal dataset scale F score (ODS-F). Compared to signal quality monitoring (SQM) and Carrier-to-Noise Ratio methods, the EDDM-MSC-MMP method increases spoofing detection coverage by over 60%, achieving the highest detection rate in the TEXBAT dataset. …”
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A Classification Data Packets Using the Threshold Method for Detection of DDoS by Sukma Aji, Davito Rasendriya Rizqullah Putra, Imam Riadi, Abdul Fadlil, Muhammad Nur Faiz, Arif Wirawan Muhammad, Santi Purwaningrum, Laura Sari

“…Classification results using the Threshold method after going through the fitting process, namely detecting 8 IP Addresses as computer network users and 6 IP addresses as perpetrators of DDoS attacks with optimal accuracy.…”
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Text Detection Method With Emphasis on Text Component Importance and Lightweight Design by Lanlan Yin, Qiming Wu

“…As the main carrier of information exchange, text detection is crucial in image scenes. However, the complexity of text detection tasks is high, there are many interference items, and existing text detection methods have problems such as excessive smoothing. …”
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Harnessing feature pruning with optimal deep learning based DDoS cyberattack detection on IoT environment by Eunmok Yang, Sooyong Jeong, Changho Seo

“…In contrast, Artificial Intelligence (AI)-based methods have proven more effective in detecting cyber-attacks than conventional approaches. …”
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Graphene-Doped Piezoelectric Transducers by Kriging Optimal Model for Detecting Various Types of Laryngeal Movements by Ming-Chan Lee, Cheng-Tang Pan, Shuo-Yu Juan, Zhi-Hong Wen, Jin-Hao Xu, Uyanahewa Gamage Shashini Janesha, Fan-Min Lin

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Non-destructive detection of early wheat germination via deep learning-optimized terahertz imaging by Guangming Li, Hongyi Ge, Yuying Jiang, Yuan Zhang, Xi Jin

“…Abstract Wheat, a major global cereal crop, is prone to quality degradation from early sprouting when stored improperly, resulting in substantial economic losses. Traditional methods for detecting early sprouting are labor-intensive and destructive, underscoring the need for rapid, non-destructive alternatives. …”
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UAV rice panicle blast detection based on enhanced feature representation and optimized attention mechanism by Shaodan Lin, Deyao Huang, Libin Wu, Zuxin Cheng, Dapeng Ye, Haiyong Weng

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Aptamer-based Gold Nanoparticles Colorimetric Method for Rapid Detection of Chlorpyrifos by Yao WANG, Xiyan YANG, Yanfei LI, Jiaxiang HUANG, Sijia LI, Kaile WANG, Aoshun HE, Shilin WANG, Yanyan LI, Zhaozhou LI, Xiujin CHEN, Huaibin KANG

“…Leveraging the property of gold nanoparticles to aggregate and change color in high-salt environments and the protective effect of aptamers against the aggregation of gold nanoparticles, a colorimetric detection method using gold nanoparticles was established by optimizing the reaction system. …”
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Optimal Skin Prick Test Panel for Detecting Respiratory Allergens in Children: A Retrospective Study by Aykut Eşki, Gökçen Kartal Öztürk, Figen Gülen, Esen Demir

“…This study aims to identify the sensitization pattern of children in different age groups and to define the minimum number and type of allergen extracts in an SPT to detect a sensitized child.Materials and Methods:This retrospective study was conducted in the Outpatient Clinic of the Pediatric Allergy, Immunology, and Pulmonology Unit of a tertiary Children’s Hospital from October 2019 to December 2020. …”
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New Heuristics Method for Malicious URLs Detection Using Machine Learning by Maher Kassem Hasan

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A Strawberry Ripeness Detection Method Based on Improved YOLOv8 by Yawei Yue, Shengbo Xu, Huanhuan Wu

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TFC: A Series of Band Selection Methods for Hyperspectral Target Detection by Qianghui Wang, Xikui Miao, Enze Guo, Tao Zhao

“…According to the different method for solving constrained optimization problem, the TFC methods are divided into TFC-MP (TFC-Matching Pursuit), TFC-OMP (TFC-Orthogonal Matching Pursuit) and TFC-StOMP (TFC-Stagewise Orthogonal Matching Pursuit) methods. …”
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Stegan detection method for latent images for intellectual property protection systems by F. B. Tebueva, M. G. Ogur, I. V. Mandritsa, A. B. Chernyshev, G. I. Linets, V. P. Mochalov

“…Improving the quality of detection and stego-detection of latent images embedded in the protected object of intellectual property by various methods. …”
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Detection of Attacks in Network Traffic with the Autoencoder-Based Unsupervised Learning Method by Yalçın Özkan

“…The threshold value is calculated as a value that will optimize the model performance. It is observed that supervised learning methods lead to difficulties and cost increases in the detection of cyber-attacks and the labeling process. …”
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Log Anomaly Detection Method Based on Transformer and Temporal Convolutional Networks by Niandong Liao, Zihan Liu

“…To overcome these difficulties, this study proposes TranConvAD, a global and local feature extraction method for log anomaly detection. The method extracts multidimensional features of logs from three perspectives: time, risk level, and message content, and designs FastText and BERT based multi-type word embedding methods for generating log representation vectors, aiming to minimize noise introduction and information loss. …”
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OBJECT DETECTION METHOD APPLICATION TO RUNWAY IMAGERY IN LOW VISIBILITY CONDITIONS by D. S. Andreev

“…Conclusions about the possibility to use the studied methods in Enhanced Vision Systems are made. Further development of optimization methods is required to perform detection in video sequences in real time. …”
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Comparative analysis of adaptive and general labeling methods for soybean leaf detection by Yuseok Jeong, Yuseok Jeong, Song Lim Kim, Thanh Tuan Thai, Thanh Tuan Thai, Thanh Tuan Thai, Anh Tuan Le, Anh Tuan Le, Chaewon Lee, Hyo Jun Bae, Inchan Choi, Sheikh Mansoor, Yong Suk Chung, Kyung-Hwan Kim

“…This study examines the influence of different labeling methods on the efficiency of artificial intelligence (AI) based soybean leaf detection. …”
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Improved YOLOv8 Object Detection Method for Drone Aerial Images by Zhong Shuai, Wang Liping

“…A new improved YOLOv8 drone aerial image object detection method, referred to as the BDI-YOLO model, is proposed to address the problems of small target object size and blurry feature information in drone aerial images, which can lead to missed and false detections. …”
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