Optimization of fermentation process of blueberry and Chinese yam flavored fermented milk by fuzzy mathematics comprehensive evaluation and response surface method by ZHANG Yongfang, ZHANG Jie, ZHU Ling

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Noise Analysis and Suppression Methods for the Front-End Readout Circuit of a Microelectromechanical Systems Gyroscope by Chunhua He, Yingyu Xu, Xiaoman Wang, Heng Wu, Lianglun Cheng, Guizhen Yan, Qinwen Huang

“…This study presents an optimized front-end readout circuit and noise suppression methods. …”
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Optimized Wavelet Transform for the Development of an Algorithm Designed for the Analysis of Digital Substation Electrical Equipment Parameters by Alexander S. Efimov, Stanislav A. Eroshenko, Pavel V. Matrenin, Vladislav V. Popovtsev

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An Improved DoH Traffic Classification Method for XGboost by LI Bo, WEN Xueyan, XU Kesheng, ZHAO Yonghui

“… Encrypted traffic has become the main traffic in the Internet, and its classification has always been one of the research hotspots.Aiming at the problems of accurate identification of DoH(DNS-over-HTTPS) traffic in the current network, slow processing speed and low detection efficiency, a dimension reduction method based on truncated singular value decomposition (TSVD) is proposed.Improved limit gradient boosting tree (IXGboost) with Bayesian optimization method for DoH Flow classification.This method classifies encrypted traffic into non-DOH traffic, benign DoH traffic and malicious DoH traffic by exposing data sets over the network.Experimental results show that the classification accuracy of the proposed method is more than 99%, and the processing time of each data is only 0.3ms, which proves that the proposed method has high accuracy and strong real-time performance, improves the performance of intrusion detection, and can effectively achieve accurate classification of DoH traffic.…”
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Coronary Artery Disease Detection Based on a Novel Multi-Modal Deep-Coding Method Using ECG and PCG Signals by Chengfa Sun, Changchun Liu, Xinpei Wang, Yuanyuan Liu, Shilong Zhao

“…To address this issue and capture adequate information, the development of a multi-modal method becomes imperative. In this study, a novel multi-modal learning method is proposed to integrate both ECG and PCG for CAD detection. …”
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Combining Feature Dimensionality Reduction and NGO-CNN-BiLSTM′s Network Abnormal Traffic Detection Method in Recruitment Intelligence Platform by YUAN Xiaopeng, MIAO Sirui, ZHANG Qiaojun

“…In view of the challenges brought by computer viruses and network malicious attacks to the operation and maintenance of the recruitment intelligent platform system, this paper proposes a method to detect abnormal traffic of the recruitment smart platform based on feature dimensionality reduction combined with Northern Goshawk Optimization ( NGO) to optimize convolutional neural network (CNN) and Bi-directional Long Short-Term Memory (BiLSTM). …”
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Computer Vision With Explainable Artificial Intelligence for Visual Pollution Detection in the Kingdom of Saudi Arabia by Alanoud Al Mazroa, Mohammed Maray, Abdullah M. Alashjaee, Faiz Abdullah Alotaibi, Ahmad A. Alzahrani, Abdulwhab Alkharashi, Shoayee Dlaim Alotaibi, Mrim M. Alnfiai

“…Building automated pollutants or pollution detection methods became progressively popular owing to the present growth of improved artificial intelligence methods. …”
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Selection, Identification, and Application of Aptamers against Agaricus bisporus Lectin to Establish an Aptamer-AuNPs Colorimetric Method for Detection of ABL by Hao Gao, Yiling Tian, Min Zhang, Jianhui Liu, Yaowu Yuan, Jianxin Tan, Aijin Ma

“…Due to the shortcomings of the current detection methods, it is extremely urgent to establish a rapid and sensitive detection method for ABL in foods. …”
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Electrochemical Method for Sulfamethazine Detection Based on CRISPR/Cas12a Coupled with Spherical Nucleic Acid with the Core of Gold Nanoparticle by Yue HUANG, Qian WANG, Yan ZHANG, Xianju QI, Yaosong WANG

“…Under the optimal conditions, the proposed electrochemical method exhibited prominent quantitative detection performance with the linear detection range of 0.006~600 ng/mL and the detection limit as low as 6 pg/mL. …”
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Development of a Tandem Mass Spectral Library for the Detection of Triterpenoids in Plant Metabolome Based on Reference Standards by Bibi Zareena, Syed Usama Y. Jeelani, Adeeba Khadim, Arslan Ali, Jalal Uddin, Satyajit D. Sarker, Matthias Rainer, Shaden A. M. Khalifa, Hesham R. El-Seedi, Muhammad Ramzan, Syed Ghulam Musharraf

“…For drug development, lead optimization, better knowledge of biological pathways, and high-throughput detection of secondary metabolites in plant extracts are crucial. …”
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A Survey on Video Compression Optimization Techniques for Accuracy Enhancement in Video Analytics Applications (VAPs) by Kholidiyah Masykuroh, Hendrawan, Eueung Mulyana, Farhan Krishna

“…However, the efficiency of these applications depends on optimizing video compression parameters to maintain high detection accuracy while minimizing bandwidth usage and computational costs. …”
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Development and validation of a LAMP-based method for rapid and reliable detection of Xanthomonas albilineans, the causal agent of sugarcane leaf scald by Moutoshi Chakraborty, Moutoshi Chakraborty, Shamsul Arafin Bhuiyan, Shamsul Arafin Bhuiyan, Simon Strachan, Simon Strachan, Muhammad J. A. Shiddiky, Nam-Trung Nguyen, Rebecca Ford, Rebecca Ford

“…The presence of irregular symptoms makes traditional phenotypic detection difficult, and molecular methods necessitate costly equipment, labor, and extended sample-to-answer processing times.MethodsThis study introduces an innovative rapid DNA isolation method requiring no reagents, combined with an isothermal amplification-based assay for efficient detection of Xalb DNA in sugarcane xylem sap, leaf tissue, and meristematic tissue samples. …”
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Establishment and application of a rapid new detection method for antimicrobial susceptibility testing of Klebsiella pneumoniae based on MALDI-TOF MS by Yapei Zhang, Fanghua Fan, Xuan Wang, Jie Zhu, Shilei Dong

“…Current rapid AST techniques are hampered by factors such as high costs, technological complexities, and limited detection capabilities. We present a novel rapid method and applied to the determination of the susceptibility of K. pneumoniae to imipenem. …”
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Effectiveness and optimization of bidirectional long short-term memory (BiLSTM) based fast detection of deep fake face videos for real-time applications by Haoxiang Wang

“…This study proposes a rapid detection method for deepfake face videos designed for real-time applications using bidirectional long short-term memory (BiLSTM) networks. …”
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Securing IoT devices with zero day intrusion detection system using binary snake optimization and attention based bidirectional gated recurrent classifier by Ali Saeed Almuflih, Ilyos Abdullayev, Sergey Bakhvalov, Rustem Shichiyakh, Bibhuti Bhusan Dash, K. B. V. Brahma Rao, Kritika Bansal

“…This manuscript presents a Binary Snake Optimizer with DL-Enabled Zero-Day Attack Detection and Classification (BSODL-ZDADC) method. …”
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CoDAC: Autonomous Obstacle Avoidance Optimization for Unmanned Surface Vehicle Clusters via Multi-Modal Dynamic Perception and Collaborative Community Detection by Youhong Li, Jiawei Ye, Le Gao, Min Cai

“…This paper proposes CoDAC, an autonomous obstacle avoidance optimization method that synergizes multimodal dynamic perception and incremental community detection. …”
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Method for Detection and Limitation of Short-Circuit Currents for Semiconductor Circuit Breakers in LVDC Grids Using a Pre-Saturated Inductor by Johannes Gehring, Raffael Schwanninger, Alexander Nowak, Bernd Wunder, Vincent Lorentz, Martin Marz

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Development of a permethylation-based detection method for oligo/polysialic acid structures via tandem MALDI-TOF mass spectrometry by Kai Suzuki, Di Wu, Ken Kitajima, Nao Yamakawa, Takayuki Omoto, Masaya Hane, Chihiro Sato

“…For the first time, the analysis of intact oligo/polySia structures with O-linked glycans were successfully detected using MALDI-TOF/TOF MS/MS with this optimized permethylation method.…”
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A Practical Bearing Failure Detection Method Using a New Efficient Deep Network With the Knowledge Self-Adaptive Evolution by Mengyu Ji, Lijun Chen, Yeming Yao, Xiaoping Wang, Cheng Chang, Yunan Zhou

“…The results based on two datasets demonstrate that the proposed method effectively optimizes the structure of fault diagnosis networks. …”
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YOLOv8-MSP-PD: A Lightweight YOLOv8-Based Detection Method for Jinxiu Malus Fruit in Field Conditions by Yi Liu, Xiang Han, Hongjian Zhang, Shuangxi Liu, Wei Ma, Yinfa Yan, Linlin Sun, Linlong Jing, Yongxian Wang, Jinxing Wang

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