A marine ship detection method for super-resolution SAR images based on hierarchical multi-scale Mask R-CNN by Jiancong Fan, Miaoxin Guo, Lei Zhang, Jianjun Liu, Jianjun Liu, Yang Li, Yang Li

“…Secondly, a hierarchical multi-scale Mask R-CNN (HMS-MRCNN) detection method is proposed, which significantly improves the multi-scale maritime ship detection problem through the cross-layer fusion of shallow features (small targets) and deep features (large targets). …”
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Design and assessment of a multiplex real-time PCR method for simultaneous detection and differentiation of COVID-19 and Influenza A/B by Nafiseh Fotros, Reihaneh Bashiri, Samira Mohammadi-Yeganeh, Mahdi Paryan

“…We developed a multiplex real-time PCR method to simultaneously detect Influenza A and B, as well as COVID-19. …”
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PCR-amplified Immunoassay (Immuno-PCR): Principle of the Method, Variants of Execution, Possibilities and Prospects of Use for the Detection of Pathogenic Biological Agents by A. S. Gorshkov, D. V. Pechenkin, A. V. Kuznetsovskiy, V. A. Balakin

“…The main methodological issues in the immuno-PCR technology are: the choice of a carrier of biomolecule complexes, the choice of a method for conjugation of detection antibodies and a reporter nucleic acid, optimization of methods for amplifying signal DNA and accounting for results, and development of methods for reducing background indicators. …”
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Establishment of a TaqMan qPCR method with MGB probe for the specific detection of BVDV field strains circulating in China by Lele An, Lele An, Xiaoting Ren, Yetao Zhang, Shubin Zhang, Yongqing Zhao, Yongqing Zhao

“…Universal primers and an MGB probe targeting the conserved 5′ untranslated region (5′UTR) of both BVDV-1 and BVDV-2 were designed based on complete genome sequences available in GenBank. Following optimization of the reaction conditions, the assay demonstrated a detection limit of 1.265 copies/μL using a plasmid standard. …”
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Development of a rapid on-site detection method for largemouth bass virus based on RPA-CRISPR/Cas12a system by Na Li, Chunmei Dai, Yuelin Mao, Yimeng Zhang, Huiyuan Yan, Huijiao Wang, Yinghui Qin, Baicheng Huang, Xinjie Wang, Lunguang Yao

“…Rapid, simple, and reliable detection methods are essential for the timely identification of LMBV infections, enabling effective prevention and control measures.MethodsIn this study, a detection platform utilizing the clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein 12a (Cas12a) system was developed for LMBV. …”
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Early Forest Fire Detection With UAV Image Fusion: A Novel Deep Learning Method Using Visible and Infrared Sensors by Kunlong Niu, Chongyang Wang, Jianhui Xu, Jianrong Liang, Xia Zhou, Kaixiang Wen, Minjian Lu, Chuanxun Yang

“…Therefore, this research proposes a novel method to early forest fire detection by fusing visible and infrared images and creating a dataset. …”
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GA4RF: An Effective Fall Detection System Through Optimizing Random Forest Hyperparameters Using Genetic Algorithm With Mobile Sensor Data by Ha-Nam Nguyen, Hong-Lam Le, Ngo-Thi-Thu-Trang, Duc-Nhan Nguyen

“…In this paper, we introduce a Genetic Algorithm (GA) based Random Forest (RF) method, named GA4RF, to enhance the accuracy of fall detection models by optimizing their hyperparameters. …”
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Two stage malware detection model in internet of vehicles (IoV) using deep learning-based explainable artificial intelligence with optimization algorithms by Manal Abdullah Alohali, Sultan Alahmari, Mohammed Aljebreen, Mashael M. Asiri, Achraf Ben Miled, Sami Saad Albouq, Othman Alrusaini, Ali Alqazzaz

“…The main intention of the MDMIoV-DLXAI model is to enhance the malware detection and classification model in IoV by utilizing advanced two-tier optimization models. …”
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Optimized Sensitivity in Copper(II) Ion Detection: Sustainable Fabrication of Fluorescence Red-Shifted Graphene Quantum Dots via Electron-Withdrawing Modulation by Weitao Li, Qian Niu, Xinglong Pang, Shang Li, Yang Liu, Boyu Li, Shuangyan Li, Lei Wang, Huazhang Guo, Liang Wang

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Response Surface Methodology Optimization of Time-Resolved Fluorescence Immunoassay for Rapid Detection of AflatoxinB₁ in Yellow Rice Wine by Mengjie Zhu, Dun Wang, Du Wang, Jing Dong, Xue Wang, Qi Zhang, Man Xiao

“…Statistical experimental designs were used to optimize the process of this rapid detection of AFB₁ in yellow rice wine. …”
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Hyperspectral Anomaly Detection by Spatial–Spectral Fusion Based on Extreme Value-Entropy Band Selection and Cauchy Graph Distance Optimization by Song Zhao, Yali Lv, Wen Zhang, Lijun Wang, Zhiru Yang, Gaofeng Ren, Bin Wang, Xiaobin Zhao, Tongwei Lu, Jiayao Wang, Wei Li

“…Second, to enhance the model’s adaptability to non-Gaussian backgrounds and maximize spectral information utilization, we propose a Cauchy graph distance-optimized RX anomaly detection approach. This method replaces the traditional covariance matrix with a significance-weighted Cauchy distance graph, reducing the influence of the target on the background and improving the model’s robustness in complex environments. …”
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Ammonia and ethanol detection via an electronic nose utilizing a bionic chamber and a sparrow search algorithm-optimized backpropagation neural network. by Yeping Shi, Yunbo Shi, Haodong Niu, Jinzhou Liu, Pengjiao Sun

“…In livestock- and poultry-breeding facilities, a precise, rapid, and affordable method for detecting ammonia concentrations is essential. …”
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Hybrid IoT-CAD system: optimized feature selection based gated recurrent residual deep learning for cyber attack detection in IoT networks by Susheela Vishnoi, Sunil Kumar, Saikat Samanta

“…After that, the Binary Genetic Dung Beetle Optimization (B-GDBO) method is utilized for optimal feature selection and also reduces the risk of overfitting. …”
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A Fast and Cost-Effective Electronic Nose Model for Methanol Detection Using Ensemble Learning by Bilge Han Tozlu

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Optimizing Biometric Security in Industry 4.0 A Critical Analysis of Authentication Parameters and Their Impacts Using Multi-Criteria Methods by Javier Andres Esquivias Varela

“…TOPSIS and MORA decision-making frameworks were applied to determine the optimal biometric system. The results indicate that facial detection offers the highest accuracy (98%) and the lowest energy consumption (64% less than Retina recognition), although its performance is affected by lighting conditions. …”
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SGS method applied to damage location and uncertainty modeling for sensor grid in the ISHM by Pereira, Paulo Elias Carneiro, de Rezende, Stanley Washington Ferreira, Moura Júnior, José dos Reis Vieira de, Finzi Neto, Roberto Mendes

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Performance analysis of shear horizontal one port surface acoustic wave (SAW) resonator for optimal liquid sensing based on finite element method by Yih Bing Chu

“…This paper presents the numerical study using finite element method for optimal liquid sensing performance of one port surface acoustic wave (SAW) resonator. …”
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Acoustic emission localization model of concrete material based on convolutional neural network by DENG Yongdong, ZHOU Jingren, LU Xiang, CHEN Jiangkang

“…At the same time, in order to verify the localization performance of the constructed localization model, it is compared with the traditional iterative localization method, and the advantages of the constructed localization model in terms of localization accuracy and efficiency are analyzed.Results and Discussions　For the case of 8 sensors, the optimal number of convolutional layers is 4, and the optimal convolutional kernel size is 3×1. …”
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A quality-by-design optimized LC method for navigating degradation kinetics and quantification of favipiravir in the presence of degradation products and manufacturing impurities by Adel Ehab Ibrahim, Mohamed Farouk, Samy G. Alamir, Baher I. Salman, Tarek S. Belal, Sami El Deeb, Ahmed Al-Harrasi

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Low-temperature partitioning extraction optimized for antibiotics quantification in sewage sludge by liquid chromatography-tandem mass spectrometry by Camila Cristina Rodrigues Ferreira da Cunha, Mylena Gomes Freitas, Daniel Aparecido da Silva Rodrigues, André Luis Correa de Barros, Marcelo Carlos Ribeiro, Aline Gomes de Oliveira Paranhos, Sérgio Francisco de, Ananda Lima Sanson, Robson José de Cássia Franco Afonso

“…The recovery values were 52.7% (SMX), 53.6% (SDZ), and 70.1% (TMP), and the method exhibited good repeatability (≤14.7%). The method detection and quantification limits ranged from 3.6 to 11.3 ng g-1 dw (dry weight) and 11.5 and 36.1 ng g-1 dw, respectively. …”
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