Optimizing Diagnosis and Management of Ventilator-Associated Pneumonia: A Systematic Evaluation of Biofilm Detection Methods and Bacterial Colonization on Endotracheal Tubes by Ioana Roxana Codru, Bogdan Ioan Vintilă, Mihai Sava, Alina Simona Bereanu, Sandra Ioana Neamțu, Raluca Maria Bădilă, Victoria Bîrluțiu

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Optimizing microfluidic chip for rapid SARS-CoV-2 detection using Taguchi method and artificial neural network PSO by Sameh Kaziz, Fraj Echouchene, Mohamed Hichem Gazzah

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Frequency Domain Sampling Optimization of Cable Defect Detection and Location Method Based on Exponentially Increased Frequency Reflection Coefficient Spectrum by Kuangyi Jiang, Kai Zhou, Xiang Ren, Yefei Xu

“…The existing linear frequency increment cable defect detection method using frequency domain reflectometry suffers from severe pseudo-peak phenomena due to non-targeted frequency domain sampling, which interferes with diagnosis. …”
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A Satellite Full-Waveform Laser Decomposition Method for Forested Areas Based on Hidden Peak Detection and Adaptive Genetic Optimization by Fangxv Zhang, Xiao Wang, Leiguang Wang, Fan Mo, Liping Zhao, Xiaomeng Yang, Xin Lv, Junfeng Xie

“…This method uses hidden peak detection algorithms to improve the accurate extraction of the Gaussian components from the original waveform and provides the initial parameters. …”
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Non-Destructive Detection Method of Apple Watercore: Optimization Using Optical Property Parameter Inversion and MobileNetV3 by Zihan Chen, Haoyun Wang, Jufei Wang, Huanliang Xu, Ni Mei, Sixu Zhang

“…Current methods for detecting apple watercore are expensive and potentially damaging to the fruit. …”
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Performance Testing and Analysis of a New GNSS Spoofing Detection Method in Different Spoofing Scenarios by Li Junzhi, Wu Haitao, Gao Jinfeng, Liu Fang, Zhang Yu, Li Gangqiang, He Yu

“…This paper addresses the vulnerability of Global Navigation Satellite Systems (GNSS) to spoofing signal attacks by proposing a spoofing detection method based on multi-parameter features and an optimized random forest algorithm. …”
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The Detection of Different Cancer Types Using an Optimized MoS₂-Based Surface Plasmon Resonance Multilayer System by Talia Tene, Diego Fabián Vique López, Paulina Elizabeth Valverde Aguirre, Adriana Monserrath Monge Moreno, Cristian Vacacela Gomez

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Identifying key drivers of heatwaves: A novel spatio-temporal framework for extreme event detection by J. Pérez-Aracil, C. Peláez-Rodríguez, Ronan McAdam, Antonello Squintu, Cosmin M. Marina, Eugenio Lorente-Ramos, Niklas Luther, Verónica Torralba, Enrico Scoccimarro, Leone Cavicchia, Matteo Giuliani, Eduardo Zorita, Felicitas Hansen, David Barriopedro, Ricardo García-Herrera, Pedro A. Gutiérrez, Jürg Luterbacher, Elena Xoplaki, Andrea Castelletti, S. Salcedo-Sanz

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Anthropogenic influence on fixed threshold-based heatwave in China and constrained future projection by Heyang Song, Ying Sun

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Remote Sensing Image Detection Method Combining Dynamic Convolution and Attention Mechanism by Yunfei Zhang, Ming Chen, Cong Chen

“…Compared with existing detection methods, this approach shows outstanding performance in detection accuracy, localization precision, and computational efficiency, particularly excelling in small object detection.…”
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Optimizing Tumor Detection in Brain MRI with One-Class SVM and Convolutional Neural Network-Based Feature Extraction by Azeddine Mjahad, Alfredo Rosado-Muñoz

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Noise Reduction Method for Partial Discharge Fluorescence Fiber Sensors Based on Optimized Empirical Wavelet Transform by Chengyong Hu, Yi Huang, Chuanlu Deng, Ming Jia, Qi Zhang, Peng Wu, Yuncai Lu, Qun Li, Xiaobei Zhang, Tingyun Wang

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Tomato leaf disease detection method based on improved YOLOv8n by Ming Chen, Chunping Wang, Chengwei Liu, Ying Yu, Yuan Yuan, Jiaxuan Ma, Kaisheng Zhang

“…Compared to existing methods, our approach shows significant advantages in detection accuracy, localization precision, and model computational efficiency, achieving improved detection performance on the tomato leaf disease dataset.…”
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Optimal Selection of Intrinsic Mode Functions Applied to Seizure Detection by Luis Daladier Guerrero Otoya, Maximiliano Bueno López, Eduardo Giraldo Suárez, Marta Molinas Cabrera

“…These seizures can be detected and diagnosed noninvasively using an electroencephalogram. …”
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The Optimization Guidance of Hollow Antiresonant Fibers Based on Various Optimization Methods by Lina Guo, Biyou Jiang, Zhiyu Chang, Yu Li, Xueqin Sun, Sukai Wang, Ping Chen, Deqing Niu, Zihan Liu

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A Novel Parameter-Adaptive VMD Method Based on Grey Wolf Optimization with Minimum Average Mutual Information for Incipient Fault Detection by Wang Xu, Jinfei Hu

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Weak Fault Detection for Rolling Bearings in Varying Working Conditions through the Second-Order Stochastic Resonance Method with Barrier Height Optimization by Huaitao Shi, Yangyang Li, Peng Zhou, Shenghao Tong, Liang Guo, Baicheng Li

“…When the fault frequency changes in variable working conditions, the signal processing effect becomes different with fixed parameters, leading to errors in fault detection. In this paper, an underdamped second-order adaptive general variable-scale stochastic resonance (USAGVSR) method with potential well parameters’ optimization is put forward. …”
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Development and Optimization of a Gas Chromatography–Mass Spectrometry Analytical Method for Detecting Sulfolane and Benzene Toluene, Ethylbenzene, and Xylenes in Water Samples by Merrik Kobarfard, Alexander Sweett, Jennie Hansson, Beth Parker, Tadeusz Górecki

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OPTIMIZATION OF ANNEALING TEMPERATURE AND PRIMER CONCENTRATION OF CYTOCHROME B (CYT B) GENE FOR PIG DNA DETECTION WITH REAL-TIME PCR METHOD by Novia Azahra Fatoni, Ai Djuminar, Acep Tantan Hardiana, Fusvita Merdekawati

“…Background: One company in Indonesia has developed a pig DNA detection kit by designing primers with the real-time Polymerase Chain Reaction (PCR) method using the cytochrome b (cyt b) gene. …”
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Oral cancer detection via Vanilla CNN optimized by improved artificial protozoa optimizer by Yulong Chai, Xiuqing Chai, Lan Zhang, Gang Ye, Fatima Rashid Sheykhahmad

“…Abstract In this study, we propose a new method for oral cancer detection using a modified Vanilla Convolutional Neural Network (CNN) architecture with incorporated batch normalization, dropout regularization, and a customized design structure for the convolutional block. …”
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