Dynamic Classifier Auditing by Unsupervised Anomaly Detection Methods: An Application in Packaging Industry Predictive Maintenance by Fernando Mateo, Joan Vila-Francés, Emilio Soria-Olivas, Marcelino Martínez-Sober, Juan Gómez-Sanchis, Antonio José Serrano-López

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First detection and phylogenetic analysis of Trypanosoma species in European wolves and bears: discovery of novel haplotypes by Blanka Orłowska, Magdalena Świsłocka-Cutter, Katarzyna Filip-Hutsch, Daniel Młocicki, Adam Olszewski, Marek Asman, Krzysztof Anusz, Joanna Werszko

“…The detection of Trypanosoma sp. was achieved through nested- PCR amplification. …”
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FH-YOLOv4 with Constrained Aspect Ratio Loss for Video Face Detection and Public Safety by Yue Wang, Liang Hong, Dewen Gu, Pingping Fu

“…Video face detection is a crucial first step in many facial recognition and face analysis systems. …”
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Enhancing cybersecurity incident response: AI-driven optimization for strengthened advanced persistent threat detection by Gauhar Ali, Sajid Shah, Mohammed ElAffendi

“…This study proposes six event detection modules to identify 14 different types of malicious behavior using Splunk. …”
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A digital twin framework with MobileNetV2 for damage detection in slab structures by Huong Duong Nguyen, Huan Nguyen, Xiaohong Gao

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Dual-Mode Textile Sensor Based on PEDOT:PSS/SWCNTs Composites for Pressure–Temperature Detection by Ying Wang, Qingchao Zhang, Zhidong Zhang

“…Herein, we propose a dual-parameter smart e-textile that can detect human pulse and body temperature in real time, with high performance and no signal interference. …”
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Edge computing for detection of ship and ship port from remote sensing images using YOLO by Vasavi Sanikommu, Sai Pravallika Marripudi, Harini Reddy Yekkanti, Revanth Divi, R. Chandrakanth, P. Mahindra

Subjects: “…ship detection…”
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The New Approach Research on Singing Voice Detection Algorithm Based on Enhanced Reconstruction Residual Network by Lilin Liu

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Machine learning-based anomaly detection and prediction in commercial aircraft using autonomous surveillance data. by Tian Xia, Lanju Zhou, Khalil Ahmad

“…The creation of a machine learning model employing data from autonomous-reliant surveillance transmissions is essential for the detection and prediction of commercial aircraft accidents. …”
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Targeted generative data augmentation for automatic metastases detection from free-text radiology reports by Maede Ashofteh Barabadi, Xiaodan Zhu, Wai Yip Chan, Amber L. Simpson, Richard K. G. Do

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Application of Targeted Next-Generation Sequencing in Bronchoalveolar Lavage Fluid for the Detection of Pathogens in Pulmonary Infections by Dai X, Xu K, Tong Y, Li J, Dai L, Shi J, Xie H, Chen X

“…The BALF of the patients was analyzed using tNGS, and the diagnostic efficacy of tNGS was subsequently compared with that of conventional testing methods (CTs) for pathogen detection.Results: Through the analysis of tNGS from the cohort, the pathogen detection rate in BALF using tNGS was significantly higher than that of CTs (90.22% VS 57.26%, P=0.001). …”
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Detection and Management of Water Stress at Plants by Deep Learning and Image processing Case-study of Tomato by Guerbaoui Mohammed, Ichou Ismail, Bakziz Zakaria, Selmani Abdelouahed, El Faiz Samira, Ed-Dahhak Abdelali, Benhala Bachir, Lachhab Abdeslam

“…This project aims to develop an innovative technique for detecting water stress in tomato plants using deep learning and image processing techniques, and to integrate it into a mobile application for real-time monitoring. …”
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Automated White Matter Hyperintensity Detection in Multiple Sclerosis Using 3D T2 FLAIR by Yi Zhong, David Utriainen, Ying Wang, Yan Kang, E. Mark Haacke

“…White matter hyperintensities (WMH) seen on T2WI are a hallmark of multiple sclerosis (MS) as it indicates inflammation associated with the disease. Automatic detection of the WMH can be valuable in diagnosing and monitoring of treatment effectiveness. …”
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A Bioinspired Methodology Based on an Artificial Immune System for Damage Detection in Structural Health Monitoring by Maribel Anaya, Diego A. Tibaduiza, Francesc Pozo

“…The results show that the presented methodology is able to accurately detect damage.…”
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LFN-YOLO: precision underwater small object detection via a lightweight reparameterized approach by Mingxin Liu, Mingxin Liu, Yujie Wu, Ruixin Li, Cong Lin, Cong Lin

Subjects: “…underwater object detection…”
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Robust fault detection and classification in power transmission lines via ensemble machine learning models by Tahir Anwar, Chaoxu Mu, Muhammad Zain Yousaf, Wajid Khan, Saqib Khalid, Ahmad O. Hourani, Ievgen Zaitsev

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A Local Extended Algorithm Combined with Degree and Clustering Coefficient to Optimize Overlapping Community Detection by Jing Liu, Junfang Guo, Qi Li

“…Community structure is one of the most important characteristics of complex networks, which has important applications in sociology, biology, and computer science. The community detection method based on local expansion is one of the most adaptable overlapping community detection algorithms. …”
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A Label-Free Aptasensor for the Detection of Sulfaquinoxaline Using AuNPs and Aptamer in Water Environment by Zhaoyang Zhou, Xingyue Chen, Shuang Jiang, Zhuoer Chen, Sixian Wang, Yueyang Ren, Xiaodong Fan, Tao Le

“…Consequently, an aptasensor for the detection of SQX was successfully developed. This aptasensor exhibits a linear range of 40–640 ng/mL, with a detection limit of 36.95 ng/mL, demonstrating both sensitivity and selectivity. …”
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An Improved Real Time Image Detection System for Elephant Intrusion along the Forest Border Areas by S. J. Sugumar, R. Jayaparvathy

“…In this paper, we propose an automated unsupervised elephant image detection system (EIDS) as a solution to human-elephant conflict in the context of elephant conservation. …”
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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

“…Abstract Background Rice blast is one of the most destructive diseases in rice cultivation, significantly threatening global food security. Timely and precise detection of rice panicle blast is crucial for effective disease management and prevention of crop losses. …”
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