TPDTNet: Two-Phase Distillation Training for Visible-to-Infrared Unsupervised Domain Adaptive Object Detection by Siyu Wang, Xiaogang Yang, Ruitao Lu, Shuang Su, Bin Tang, Tao Zhang, Zhengjie Zhu

“…Enhanced domain data are fed into the teacher network to initialize the weights and produce pseudolabels. Next, to address small remote sensing target detection tasks, we construct a multidimensional progressive feature fusion detection framework, which initially fuses two adjacent low-level feature maps and then progressively incorporates high-level features to enhance the quality of fusing nonadjacent layer features. …”
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Non-Invasive Techniques for Monitoring and Fault Detection in Internal Combustion Engines: A Systematic Review by Norah Nadia Sánchez Torres, Jorge Gomes Lima, Joylan Nunes Maciel, Mario Gazziro, Abel Cavalcante Lima Filho, Cicero Rocha Souto, Fabiano Salvadori, Oswaldo Hideo Ando Junior

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An Energy-Efficient Cluster-Based Vehicle Detection on Road Network Using Intention Numeration Method by Deepa Devasenapathy, Kathiravan Kannan

“…Initially, sensor nodes that detect a vehicle are grouped into separate clusters. …”
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Transforming Healthcare: The Role of Machine Learning in Early Disease Detection – Innovations, Hurdles, and the Road Ahead by Prasanth Saginala

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Infrared Small Target Detection via Modified Fast Saliency and Weighted Guided Image Filtering by Yi Cui, Tao Lei, Guiting Chen, Yunjing Zhang, Gang Zhang, Xuying Hao

“…The robust detection of small targets is crucial in infrared (IR) search and tracking applications. …”
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Rapid detection and capture of clinical Escherichia coli strains mediated by OmpA-targeting nanobodies by Michèle Sorgenfrei, Lea M. Hürlimann, Andrea Printz, Fanny Wegner, Damien Morger, Fabian Ackle, Mélissa M. Remy, Grzegorz Montowski, Hans-Anton Keserue, Aline Cuénod, Frank Imkamp, Adrian Egli, Peter M. Keller, Markus A. Seeger

“…Steric hindrance caused by dense O-antigen layers initially impeded reliable capture of clinical E. coli strains. …”
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Computational intelligence to detect bearing faults using optimal features from motor current signals by G. Geetha, P. Geethanjali

“…The selection of optimal features is initially performed using three algorithms: the equilibrium optimizer, the emperor penguin optimizer (EPO), and the butterfly optimization method. …”
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Effect of Omeprazole on Esophageal Microbiota in Dogs Detected Using a Minimally Invasive Sampling Method by Aditi Handa, Giovana S. Slanzon, Yoko M. Ambrosini, Jillian M. Haines

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An Experimental Assessment Using Acoustic Emission Sensors to Effectively Detect Surface Deterioration on Steel Plates by Nikolaos Angelopoulos, Vassilios Kappatos

“…During operation, the environmental and loading conditions of metal structures can result in corrosion and surface wear damage. The early detection of surface degradation flaws is crucial, as they can serve as local stress concentration points, leading to crack initiation and failure. …”
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Detecting and Responding to a Dengue Outbreak: Evaluation of Existing Strategies in Country Outbreak Response Planning by Julia Harrington, Axel Kroeger, Silvia Runge-Ranzinger, Tim O'Dempsey

“…There was a distinct lack of consideration of contextual influences which can affect how an outbreak detection and response is managed. Conclusion. A model contingency plan for dengue outbreak prediction, detection, and response may help national disease control authorities to develop their own more detailed and functional context specific plans.…”
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Microplastics and nanoplastics detection using flow cytometry: Challenges and methodological advances with fluorescent dye application by Lucas Ainé, Justine Jacquin, Colette Breysse, Catherine Colin, Jean-Michel Andanson, Florence Delor-Jestin

“…Nile Red, a fluorochrome extensively used in MNP analysis due to its effectiveness and accessibility, has been applied to significantly enhance the sensitivity and specificity of MNP detection of this technique. Additionally, flow cytometry offers the advantage of automated detection, allowing the quantification of smaller particles, including those under 1 µm, which are often missed by traditional spectroscopic methods. …”
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An ELISA to Detect Serum Antibodies to the Salivary Gland Toxin of Ixodes holocyclus Neumann in Dogs and Rodents by S. Hall-Mendelin, P. O'Donoghue, R. B. Atwell, R. Lee, R. A. Hall

“…The optimised ELISA reliably detected antibodies reactive to I. holocyclus salivary gland antigens. …”
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A stacked ensemble approach with resampling techniques for highly effective fraud detection in imbalanced datasets by Idongesit E. Eteng, Udeze L. Chinedu, Ayei E. Ibor

“… In several earlier studies, machine learning (ML) has been widely explored for fraud detection. However, fraud detection is still a challenging problem. …”
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Detection of Mycobacterium tuberculosis in sputum in patients coinfected with HIV / tuberculosis by various methods (literature review) by I. B. Viktorova, S. Yu. Degtyareva, E. I. Kulabukhova, E. N. Beloborodova, V. N. Zimina

“…The different yield of the smear  microscopy in combination with the subclinical course of tuberculosis  and atypical radiologic presentation in patients with HIV infection leads to a delay in diagnosis and to late initiation of  antituberculosis therapy. The culture and the molecular-genetic  methods of sputum examination increase the frequency of detection  of the pathogen, however, the diagnosis of tuberculosis by culture can not be considered rapid in patients with  immunodeficiency. …”
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Theft detection dataset for benchmarking and machine learning based classification in a smart grid environment by Salah Zidi, Alaeddine Mihoub, Saeed Mian Qaisar, Moez Krichen, Qasem Abu Al-Haija

“…An effective theft generator is modelled and used for obtaining a multi-class theft detection dataset from publicly available consumer energy consumption data, owned by the “Open Energy Data Initiative” (OEDI) platform. …”
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Automatic detection of cognitive events using machine learning and understanding models’ interpretations of human cognition by Quang Dang, Murat Kucukosmanoglu, Michael Anoruo, Golshan Kargosha, Sarah Conklin, Justin Brooks

“…Cognitive events, defined as the initiation of mental processes, are closely linked to cognitive workload as they trigger cognitive responses. …”
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Detection of failures in HV surge arrester using chaos pattern with deep learning neural network by Chun‐Chun Hung, Meng‐Hui Wang, Shiue‐Der Lu, Cheng‐Chien Kuo

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Damage Detection of Seismically Excited Buildings Using Neural Network Arrays with Branch Pruning Optimization by Jau-Yu Chou, Chia-Ming Chang, Chieh-Yu Liu

“…In structural health monitoring, visual inspection remains vital for detecting damage, especially in concealed elements such as columns and beams. …”
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Beyond the Grid: GLRT-Based TomoSAR Fast Detection for Retrieving Height and Thermal Dilation by Nabil Haddad, Karima Hadj-Rabah, Alessandra Budillon, Gilda Schirinzi

“…To overcome these drawbacks, we propose an approach that combines a quick initialization process using Fast-Sup GLRT with local descent optimization. …”
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Enhanced Yolov8 network with Extended Kalman Filter for wildlife detection and tracking in complex environments by Langkun Jiang, Li Wu

“…Initially, the Stable Diffusion model augments the dataset, establishing a basis for training data. …”
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