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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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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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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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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Enhancing sustainability in the production of palm oil: creative monitoring methods using YOLOv7 and YOLOv8 for effective plantation management by Istiyak Mudassir Shaikh, Mohammad Nishat Akhtar, Abdul Aabid, Omar Shabbir Ahmed

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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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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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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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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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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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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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OPTIMAL CUT-OFF POINTS OF INSTANTANEOUS WAVE-FREE RATIO IN THE ASSESSMENT OF THE FUNCTIONAL SIGNIFICANCE OF CORONARY ARTERY STENOSES USING NONINVASIVE METHODS AS REFERENCE by D. I. Darenskiy, V. V. Gramovich, E. A. Zharova, M. G. Mitroshkin, R. V. Atanesyan, G. N. Bakashvili, Y. G. Matchin

“…ABSTRACT Objective: the aim of our study was to determine the optimal instantaneous wave-free ratio (iFR) cut-off points in assessing the functional significance of intermediate coronary artery stenoses in patients with chronic coronary artery diseases (CAD) using non-invasive methods of myocardial ischemia verification as reference. …”
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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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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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