Research on Concrete Crack and Depression Detection Method Based on Multi-Level Defect Fusion Segmentation Network by Zhaochen Yao, Yanjuan Li, Hao Fu, Jun Tian, Yang Zhou, Chee-Loong Chin, Chau-Khun Ma

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A Ratiometric Fluorescence Method Based on PCN-224-DABA for the Detection of Se(IV) and Fe(III) by Mao-Ling Luo, Guo-Ying Chen, Wen-Jia Li, Jia-Xin Li, Tong-Qing Chai, Zheng-Ming Qian, Feng-Qing Yang

“…After the experimental parameters were systematically optimized, the developed method shows good selectivity and interference resistance for Fe(III) and Se(IV) detection, and has good linearity in the ranges of 0.01–4 μM and 0.01–15 μM for Fe(III) and Se(IV) with a limit of detection of 0.045 μM and 0.804 μM, respectively. …”
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A low illumination target detection method based on a dynamic gradient gain allocation strategy by Zhiqiang Li, Jian Xiang, Jiawen Duan

“…This method optimizes the model through enhancements in multi-scale feature fusion, feature extraction, detection head, and loss function. …”
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LDDFSF-YOLO11: A Lightweight Insulator Defect Detection Method Focusing on Small-Sized Features by Peng Shen, Keyu Mei, Huiqiong Cao, Yongxiang Zhao, Guoqing Zhang

“…This study proposes a lightweight insulator defect detection method (LDDFSF-YOLO11) that focuses on small-sized features to efficiently detect and identify insulator defects. …”
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Development and evaluation of fluorescent recombinase polymerase amplification (RPA)-based method for rapid detection of Necator americanus. by Jia-Rui Liang, Shu-Ning Yan, Han-Yin Yang, Shuo Yang, Yu-Juan Shen, Le-Le Huo, Yu-Chun Cai, Zi-Ran Mo, Bin Zheng, Bin Xu, Wei Hu

“…The method's detection limit was assessed via serial dilution of genomic DNA. …”
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ANN-SVM-IP: An Innovative Method for Rapidly and Efficiently Detecting and Classifying of External Defects of Apple Fruits by Nashaat M. Hussain Hassan, Mohamed M. Hassan Mahmoud, Mohamed A. Ismeil, M. Mourad Mabrook, A. A. Donkol, A. M. Mabrouk

“…This paper attempts to address these issues by offering a novel method (ANN-SVM-IP) that integrates image processing (IP)-based segmentation and ML algorithms (ANN-SVM) for extracting and classifying exterior defects in apple fruits. …”
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Implementation of medication reviews to optimize the use of medications in Swiss nursing homes: a mixed-methods study by Stephanie Mena, Julie Dubois, Marie Schneider, Anne Niquille

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Catalytic test-method for determination of ruthenium microquantities based on methyl orange oxidation with potassium periodate by E. G. Khomutova, N. A. Maltseva, S. A. Zagorodnikova

“…The conditions for the indicator reaction performance were optimized. It is possible to determine ruthenium in the range of its concentrations 0.010 ÷ 0.55 µg/ml .The detection limit equals to 0.0035 µg/ml, the relative standard deviation (RSD) is not higher than 0.058. …”
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Theoretical Study on Concentration Monitoring of Suspended Particles by Laser Scattering Method by LIU Yong-jie, YU Xiao-yu, SUN Xu, SHI Yun-bo

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Modified planar sensors for the separate detection of certain cephalosporin antibiotics by Kulapina, Elena Grigorievna, Mursalov, Ruslan K., Kulapina, Olga Ivanovna

“…The standard errors of calibration and prediction are estimated, on the basis of which the optimal number of latent variables for these methods is selected. …”
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A Classification Method for E-mail Spam Using a Hybrid Approach for Feature Selection Optimization by Zeinab Hassani, vahid Hajihashemi, Keivan Borna, Iman Sahraei Dehmajnoonie

“…In this article, we're working on a feature selection method to e-mail spam. This approach is considered a hybrid of optimization algorithms and classifiers in machine learning. …”
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A refined Greylag Goose optimization method for effective IoT service allocation in edge computing systems by Hossein Najafi Khosrowshahi, Hadi S. Aghdasi, Pedram Salehpour

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Electrical Fault Diagnosis Method for Tunneling Equipment Based on Fault Simulation and Optimized Particle Swarm Algorithm by Huan Zou, Xueping Zhang, Xin Wang, Yu Li

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An Autotuning Hybrid Method with Bayesian Optimization for Road Edge Extraction in Highway Systems from Point Clouds by Jingxu Chen, Qiru Cao, Mingzhuang Hua, Jinyang Liu, Jie Ma, Di Wang, Aoxiang Liu

“…This study proposes an autotuning hybrid method with Bayesian optimization for road edge extraction in highway systems. …”
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A sustainable RP-HPLC method for simultaneously estimating aceclofenac, paracetamol, and serratiopeptidase with AQbD optimization by Vineetha Rosireddy, Manikandan Krishnan

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Research on the Optimization of the Electrode Structure and Signal Processing Method of the Field Mill Type Electric Field Sensor by Wei Zhao, Zhizhong Li, Haitao Zhang

“…An improved harmonic detection method combining fast Fourier transform and back propagation neural network (FFT-BP) was proposed, the learning rate, momentum factor, and excitation function jointly participated in the adjustment of the network, and the iterative search range of the algorithm was limited by the threshold interval, further improving the accuracy and rapidity of the sensor measurement. …”
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Optimizing deep learning models for glaucoma screening with vision transformers for resource efficiency and the pie augmentation method. by Sirikorn Sangchocanonta, Pakinee Pooprasert, Nichapa Lerthirunvibul, Kanyarak Patchimnan, Phongphan Phienphanich, Adirek Munthuli, Sujittra Puangarom, Rath Itthipanichpong, Kitiya Ratanawongphaibul, Sunee Chansangpetch, Anita Manassakorn, Visanee Tantisevi, Prin Rojanapongpun, Charturong Tantibundhit

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RT-QuIC optimization for prion detection in soils by Madeline K. Grunklee, Stuart S. Lichtenberg, Gage Rowden, Diana L. Karwan, E. Anu Li, Marc D. Schwabenlander, Tiffany M. Wolf

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The Research on Image Adaptive Block Compressive Sensing Method Based on Underwater Depth Information by Shoubo Zhao, Jing Wang, Cheng Qian, Yue Yin

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Research on Change Point Detection during Periods of Sharp Fluctuations in Stock Prices–Based on Bayes Method <i>β</i>-ARCH Models by Fenglin Tian, Yong Wang, Qi Qin, Boping Tian

“…By detecting the change points of the price of eight stocks with a high number of limit up and limit down changes occurring in the observation period, the following conclusions are obtained: (1) Change point detection using the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>β</mi></semantics></math></inline-formula>-ARCH model based on the Bayes method is effective. (2) For different values of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>β</mi></semantics></math></inline-formula>, this research study finds that based on the classical ARCH model (i.e., <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>β</mi><mo>=</mo><mn>1</mn></mrow></semantics></math></inline-formula>) of the change point parameter, the results are relatively optimal. (3) The accuracy of change point detection can be improved by correcting stock short-term effects by using the Kalman filtering method.…”
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