An abnormal traffic detection method for chain information management system network based on convolutional neural network by Chao Liu, Chunxiang Liu, Changrong Liu

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ADAM-DETR: an intelligent rice disease detection method based on adaptive multi-scale feature fusion by Hanyu Song, Xinyue Huang, Ziqiang Wang, Jianwei Hu, Huasheng Zhang, Hui Yang

“…Abstract Rice diseases pose a severe threat to global food security, while traditional detection methods suffer from low efficiency and dependence on manual expertise. …”
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A novel deep learning-based spider wasp optimization approach for enhancing brain tumor detection and physical therapy prediction by Suleiman Daoud, Ahmad Nasayreh, Khalid M.O. Nahar, Wlla k. Abedalaziz, Salem M. Alayasreh, Hasan Gharaibeh, Ayah Bashkami, Amer Jaradat, Sultan Jarrar, Hammam Al-Hawamdeh, Absalom E. Ezugwu, Raed Abu Zitar, Aseel Smerat, Vaclav Snasel, Laith Abualigah

“…We demonstrate the overall effectiveness of the proposed model by using it to select the optimal features extracted from the Resnet50V2 model for pediatric brain tumor detection. …”
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Development of Fast Analytical Method for the Detection and Quantification of Honey Adulteration Using Vibrational Spectroscopy and Chemometrics Tools by Omar Elhamdaoui, Aimen El Orche, Amine Cheikh, Brahim Mojemmi, Rachid Nejjari, Mustapha Bouatia

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Establishment and Application of TaqMan qPCR Detection Method for Human DNA Contamination in DNA Laboratory by SHEN Gao-fang, ZHOU Yong-song, ZHANG Jian-qiu, JI Shi-you, WU Ying-feng, SHANG Hao, ZHU Bo-feng

“…ObjectiveTo establish a highly sensitive and specific method for detecting human DNA based on real time quantitative PCR （qPCR） technique for the rapid detection of potential DNA contamination sources in DNA laboratories.MethodsPrimers and probes were designed with Primer ExpressTM software using the reference sequence of human 18S rRNA gene as a template, and the optimal prime-probe combination was screened by matrix method. …”
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Surface-Enhanced Raman Spectroscopy (SERS) Method for Rapid Detection of Neomycin and Chloramphenicol Residues in Chicken Meat by Yan Wu, Junshi Huang, Ni Tong, Qi Chen, Fang Peng, Muhua Liu, Jinhui Zhao, Shuanggen Huang

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Optimization of searching for moving targets of a multifunctional radar station by С.М. Піскунов, Д.С. Роменський, В.Ю. Бабич

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Collaborative Optimization of Equipment Reliability and Testability Considering BIT Characteristics by HUANG Darong, GAO Ming, ZHAO Ning, ZHANG Yu

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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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A Novel Overload Control Algorithm for Distributed Control Systems to Enhance Reliability in Industrial Automation by Taikyeong Jeong

“…The proposed method is integrated with a modular multi-functional processor (MFP) architecture, designed to enhance system reliability, optimize resource utilization, and improve fault resilience under dynamic operational conditions. …”
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Sensor Fault Detection and Diagnosis of Air-conditioning System Based on Improved Principal Component Analysis Method by Zhang Shuangshuang, Chen Huanxin, Zhang Hongtao, Guo Yabin

“…In this study, an improved principal component analysis method combining wavelet transform data optimization and neural network-based fault diagnosis optimization is proposed for the sensor fault detection and diagnosis in an air-conditioning system. …”
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A Simulation Analysis of an Extension of One-Dimensional Speckle Correlation Method for Detection of General In-Plane Translation by Ivana Hamarová, Petr Šmíd, Pavel Horváth, Miroslav Hrabovský

“…The translation components ax and ay representing the projections of a vector a of the object's displacement onto both x- and y-axes in the object plane (x,y) are evaluated separately by means of the extended one-dimensional speckle correlation method. Moreover, one can perform a distinct optimization of the method by reduction of intensity values representing detected speckle patterns. …”
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Developing an Automatic Asbestos Detection Method Based on a Convolutional Neural Network and Support Vector Machine by Tomohito Matsuo, Mitsuteru Takimoto, Suzuyo Tanaka, Ayami Futamura, Hikari Shimadera, Akira Kondo

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Study on Novel Surface Defect Detection Methods for Aeroengine Turbine Blades Based on the LFD-YOLO Framework by Wei Deng, Guixiong Liu, Jun Meng

“…This study proposes a novel defect detection method to address the low accuracy and insufficient efficiency encountered during surface defect detection on aeroengine turbine blades (ATBs). …”
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SynKGen: A kernel PCA-Based oversampling method for enhanced credit card fraud detection by Fray L. Becerra-Suarez, Luciani J. Jiménez-Fernández, Estrella D. Ticona-Tapia, José Rolando Cárdenas-Gonzáles, Pepe Humberto Bustamante-Quintana

“…Experimental results demonstrate that SynKGen improves the effectiveness of credit card bank fraud detection. These findings highlight the importance of data augmentation strategies to optimize classifier performance in financial contexts with unbalanced data. …”
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A Method Combining Order Tracking and Fuzzy C-Means for Diesel Engine Fault Detection and Isolation by Ruili Zeng, Lingling Zhang, Yunkui Xiao, Jianmin Mei, Bin Zhou, Huimin Zhao, Jide Jia

“…After standardizing these features, the fuzzy c-means (FCM) is introduced to use them as input vector; the optimized classified matrix and clustering centers can be obtained using FCM iteration method; then the fault can be detected by calculating the approach degree between the unknown samples and the known ones. …”
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A Defect Detection Method for Flexible Thermal Control Film Manufacturing Process Driven by Digital Twin by LI Rongyi, TIAN Shuaiqi, DAI Mingqiu, XU Youqiang, LI Xianbin, HOU Kailin

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A Blur-Score-Guided Region Selection Method for Airborne Aircraft Detection in Remote Sensing Images by Yujian Wang, Yi Hou, Yuting Xie, Ruofan Wang, Shilin Zhou

“…Airborne aircraft detection is of paramount importance for optimizing airspace management and enhancing flight safety and efficiency in both commercial and private sectors. …”
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Review of Acoustic Emission Detection Technology for Valve Internal Leakage: Mechanisms, Methods, Challenges, and Application Prospects by Dongjie Zheng, Xing Wang, Lingling Yang, Yunqi Li, Hui Xia, Haochuan Zhang, Xiaomei Xiang

“…Secondly, a detailed analysis is conducted on diverse signal processing techniques and their corresponding optimization strategies, encompassing parameter analysis, time–frequency analysis, nonlinear dynamics methods, and intelligent algorithms. …”
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Quantitative infrared detection methods for debonding in concrete-filled steel tubes during the hydration heat phase by Haonan Cai, Chongsheng Cheng, Hong Zhang, Jianting Zhou

“…Currently, there is a lack of an infrared detection method that can perform quantitative detection specifically during the construction phase of CFST. …”
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