Optimization of the Parameters of the Magnetizing Device of the Electromagnetic-Acoustic Transducer by V. A. Strizhak, A. V. Pryakhin

“…The transducer has protection of the magnetization device from overheating, and the cyclic mode of operation allows for continuous performance of up to 30 measurements per minute at an ambient temperature of 20 °C.The developed magnetizing device can be used in solving a number of problems of structuroscopy, thickness measurement, flaw detection by electromagnetic-acoustic methods based on accurate measurement of the propagation time of elastic waves in the object of testing.…”
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MULTI–CRITERIA OPTIMIZATION OF A PRODUCT RECIPE COMPOSITION by Marina A. Nikitina, Irina M. Chernukha

“…The use of the IT-technologies realized by the methods of multi-criteria structure optimization and mathematical programming allows correcting and optimizing food recipes by different criteria of the non-linear character, structuring the obtained set of alternatives and detecting the optimal food recipe option with the targeted quality, composition and properties or a diet for a particular population category with consideration for the therapeutic and prophylactic direction.…”
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An efficient fire detection algorithm based on Mamba space state linear attention by Yuming Li, Yongjie Wang, Xiaorui Shao, Anbo Zheng

“…Compared to existing methods, the proposed approach maintains high detection performance while exhibiting significant computational efficiency advantages.…”
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Depth-Enhanced Tumor Detection Framework for Breast Histopathology Images by Integrating Adaptive Multi-Scale Fusion, Semantic Depth Calibration, and Boundary-Guided Detection by A. Robert Singh, Suganya Athisayamani, Hariharasitaraman S, Faten Khalid Karim, Jose Varela-Aldas, Samih M. Mostafa

“…The proposed loss function optimizes RGB-depth feature alignment, balancing contributions from each modality for robust tumor detection. …”
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Optimal PSA Threshold for Obtaining MRI-Fusion Biopsy in Biopsy-Naïve Patients by Luke L. Wang, Brandon L. Henslee, Peter B. Sam, Chad A. LaGrange, Shawna L. Boyle

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Managing demolition wastes using GIS and optimization techniques by Mohamed Marzouk, Eman Othman, Mahmoud Metawie

“…As a result, this research presents a framework that automatically detects demolishing wastes' location and optimizes utilized resources in demolition and transportation processes. …”
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Simultaneous determination of 101 volatile organic compounds released from plastic runway tracks based on the environmental chamber-canister sampling-three-stage cold trap preconce... by Gan Liu, Gan Liu, Yong Ma, Yong Ma, Hong Wang, Hong Wang, Yanrong Meng, Yanrong Meng, Yu Huang, Yu Huang, Weitao Zheng, Weitao Zheng

“…The method applies a simultaneous determination of 101 VOCs based on the environmental chamber-canister sampling-three-stage cold trap preconcentration-gas chromatography-mass spectrometry/flame ionization detection (GC-MS/FID) method. …”
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Diagnostic algorithm for the detection of carbapenemases and extended-spectrum β-lactamases in carbapenem-resistant Pseudomonas aeruginosa by Stefano Mancini, Laia Garcia-Verellen, Helena M. B. Seth-Smith, Peter M. Keller, Natalia Kolesnik-Goldmann, Muhammad Ali Syed, Irfan Ullah, Vladimira Hinic, Tim Roloff, Adrian Egli, Oliver Nolte

“…By facilitating the early detection of resistant P. aeruginosa strains, this approach has the potential to improve patient outcomes, optimize antimicrobial therapy, and enhance global surveillance efforts against multidrug-resistant pathogens.…”
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Wireless Sensor Networks Energy Effectively Distributed Target Detection by Xiaogang Qi, Peng Wei, Lifang Liu, Mande Xie, Guoyong Cai

“…In this paper, we propose an energy effective distributed multisensor target detection method, which is different from the existing single sensor target detection methods, and target is detected by multisensor cooperation scheme. …”
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Application of Supervised Learning Methods and Information Gain Methods in the Determination of Asbestos–Cement Roofs’ Deterioration State by Manuel Saba, David Valdelamar Martínez, Leydy K. Torres Gil, Gabriel E. Chanchí Golondrino, Manuel A. Ospina Alarcón

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Crack detection in beam-like structures by nonlinear harmonic identification by Paolo Casini, Fabrizio Vestroni, Oliviero Giannini

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The Optimal Estimation Model for Soil Salinization Based on the FOD-CNN Spectral Index by Jicun Yang, Bing Guo, Rui Zhang

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Crack detection in beam-like structures by nonlinear harmonic identification by Paolo Casini, Fabrizio Vestroni, Oliviero Giannini

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Extender development for optimal cryopreservation of buck sperm to increase reproductive efficiency of goats by Mustafa Bodu, Mustafa Bodu, Mustafa Hitit, Olivia Chika Greenwood, Raheem Davian Murray, Erdogan Memili

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Breast Reconstruction in Patients with Prior Breast Augmentation: Searching for the Optimal Reconstructive Option by Pasquale Tedeschi, Rossella Elia, Angela Gurrado, Eleonora Nacchiero, Alessia Angelelli, Mario Testini, Giuseppe Giudice, Michele Maruccia

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Actuator Fault Detection and Identification Using H-Infinity Filter by Ndabarushimana Egone, Ma Lei

“…Performance metrics indicate a significant improvement in detection reliability compared to conventional methods. …”
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Evaluation of Non-Faradaic Impedimetric Parameters for IL-8 Detection Using Gold Interdigitated Electrode-Based Biosensors: Towards Early Detection of Newborn Disability by Abdulelah S. Alrebaish, Layla O. Alnami, Joud M. Alshraim, Razan A. Alnghemshi, Alanoud A. Aljammaz, Amir Altinawi, Kholood K. Alhuthali, Hend Alfadul, Abdulaziz K. Assaifan

“…Interleukin-8 (IL-8) is a critical biomarker associated with inflammation and disability in both adults and newborns. Conventional detection methods are often labor-intensive, time-consuming, and require highly trained personnel. …”
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Explainable correlation-based anomaly detection for Industrial Control Systems by Ermiyas Birihanu, Imre Lendák

“…This study proposes an explainable correlation-based anomaly detection method for ICS. The optimal window size of the data is determined using Long Short-Term Memory Networks—Autoencoder (LSTM-AE) and the correlation parameter set is extracted using the Pearson correlation. …”
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Optimal Arrangement Strategy of IoT Sensors in Urban Drainage Networks: A Review by Yiyi Ma, Tianyu Guo, Yiran Wang

“…This review examines application cases of IoT sensors in UDNs and some other hydraulic networks, evaluating the characteristics and applicability of various optimal placement methods and theories. A general framework was proposed applicable to the optimal placement of IoT sensors in the UDN, including object classification–method selection–quantitative evaluation. …”
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Optimal Selection Criterion for Runoff Component Models Based on Benefit-Risk Balance by DING Xiao-ling, HU Wei-zhong, TANG Hai-hua, LUO Bin, FENG Kuai-le

“…To address this, this study proposes a selection criterion for runoff component models based on the balance between benefits and risks. [Methods] Based on the diagnosis and quantitative description of evolution characteristics such as mutations, trends, and periodicities using time-series variability detection methods—the Mann-Kendall test, sliding T-test, Pettitt test, Standard Normal Homogeneity test, Buishand test, and periodogram—different forms of linear superposition models were developed by combinations and extraction sequences of the identified components, such as mutation, trend, and periodicity. …”
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