Detection of Q235 Mild Steel Resistance Spot Welding Defects Based on EMD-SVM by Yuxin Wu, Xiangdong Gao, Dongfang Zhang, Perry Gao

“…Welding current and voltage were collected in real-time, and DR signals were processed employing a second-order Butterworth low-pass filter featuring zero-phase processing to enhance accuracy. …”
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rhBNN+ Comprehensive Detections and Analyses of the Human Body Temperatures and Sounds by the Same Smart Mask by Bingcan Liao, Pin Sun, Shuyi Chen, Rihong Huang, Junyu Yang, Guofeng Li, Chengzhi Lv, Nan Zhu, Shui Guan, Hailong Liu, Rong Liu, Ali Mansouri, Changkai Sun

“…Collected data is instantly transmitted to the processing unit. Temperature readings are labeled and stored for analysis, while audio data is classified into breathing, coughing, and speaking categories using the Support Vector Machine (SVM) algorithm. …”
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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

“…The proposed IoT system includes four steps: pre-processing, augmentation, feature selection, and classification. …”
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Safety Supervision Method for Power Operation Site Based on Machine Learning and Image Recognition by Zhengwei CHANG, Qian PENG, Ying CHEN

“…It is proposed to use the histogram of oriented gradient (HOG) and support vector machine (SVM) for full frame personnel detection, and then the OpenCV-based image processing technology is used to determine any personnel intrusion into the alert area. …”
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BOLT LOOSENING ANGLE DETECTION METHOD BASED ON COLOR SEGMENTATION by KANG Jingjie, ZHANG Lijun, SUN Yuandong, YANG Xiaoyu, WANG Ruolan, ZHAO Tianhao

“…To achieve quantitative detection of bolt loosening angles through single frame images, a method based on color segmentation and connected domain feature processing was designed. Firstly, a method for performing nonlinear stretching, normalization and optimal threshold segmentation on <italic>a</italic> component successively in the Lab color space was designed to segment and represent the red anti-loosening line image of the bolt loosening angle. …”
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An association rule-based approach for frequent item mining of multi-stage access data by Silong Wu

“…Abstract The processing of large-scale datasets is complex and requires high efficiency. …”
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Optimized SVR model for predicting dissolved oxygen levels using wavelet denoising and variable reduction: Taking the Minjiang River estuary as an example by Peng Zhang, Xinyang Liu, Huiru Zhang, Chengchun Shi, Gangfu Song, Lei Tang, Ruihua Li

“…The integrated WD-MIC data processing method shows promising potential in reducing model errors and lowering water monitoring costs by focusing on highly correlated variables.…”
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Hardware Implementation for Triaxial Contact-Force Estimation from Stress Tactile Sensor Arrays: An Efficient Design Approach by María-Luisa Pinto-Salamanca, Wilson-Javier Pérez-Holguín, José A. Hidalgo-López

“…This paper presents a contribution to the state of the art in the design of tactile sensing algorithms that take advantage of the characteristics of generalized sparse matrix-vector multiplication to reduce the area, power consumption, and data storage required for real-time hardware implementation. …”
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Integrating machine learning and sentiment analysis in movie recommendation systems by Amany M. Sarhan, Hager Ayman, Mariam Wagdi, Bassant Ali, Aliaa Adel, Rahf Osama

“…Sentiment-based movie recommendation system research employs techniques such as natural language processing and hybrid models with the goal of increasing user satisfaction. …”
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Embedded Hardware-Efficient FPGA Architecture for SVM Learning and Inference by B. B. Shabarinath, Muralidhar Pullakandam

“…Edge computing allows to do AI processing on devices with limited resources, but the challenge remains high computational costs followed by the energy limitations of such devices making on-device machine learning inefficient, especially for Support Vector Machine (SVM) classifiers. …”
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Artificial Intelligence and/or Machine Learning Algorithms in Microalgae Bioprocesses by Esra Imamoglu

“…This review examines the increasing application of artificial intelligence (AI) and/or machine learning (ML) in microalgae processes, focusing on their ability to improve production efficiency, yield, and process control. …”
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(In)acceptabilités environnementales et/ou sanitaires : dilemmes autour de la démoustication du littoral méditerranéen français by Elise Mieulet, Cécilia Claeys

“…Through a case study addressing mosquito and vector control policies in Metropolitan France, this paper stresses the need to deconstruct the normalisation and standardisation processes at work in the manufacturing of social acceptability. …”
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Therapeutic potential of microRNAs in neurological disorders: mechanisms, biomarkers, and emerging therapeutic strategies by Sourav Pal, Subhajit Mandal

“…Furthermore, studies have demonstrated the potential of miRNA-based therapies to modulate disease processes and improve clinical outcomes. This review critically evaluates current therapeutic strategies for miRNA delivery in neurological disorders, focusing on advanced platforms such as nanocarriers, exosomes, viral vectors, and ligand-mediated systems designed to overcome the blood-brain barrier. …”
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Development of a novel pseudovirus-based quality control material for HIV-1 nucleic acid testing and its application in external quality assessment by Di Han, Xin Zhang, Mingzhu Niu, Pinliang Pan, Wenge Xing, JingDong Song, Cong Jin

“…In summary, the novel HIV-1 PsV-based QCM can serve as a safe and sustainable alternative to existing HIV-1 NAT QCMs for EQA of HIV-1 NAT laboratories.IMPORTANCEThis study proposes a novel strategy to prepare HIV-1 nucleic acid testing (NAT) quality control material (QCM) using HIV-1 pseudovirus (PsV) packaged by an improved four-plasmid lentiviral vector (LV) system. The HIV-1 PsV-based QCM can simulate authentic virus particles and better monitor the entire HIV-1 NAT process, including nucleic acid extraction, amplification, and detection. …”
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Characterization, identification and life prediction of acoustic emission signals of tensile damage for HSR gearbox housing material by Ai Yibo, Zhang Yuanyuan, Cui Hao, Zhang Weidong

“…Afterward, the support vector machine (SVM) classifier is introduced to identify and classify the characteristic parameters extracted, on which basis the SVM is improved and the weighted support vector machine (WSVM) method is applied to effectively reduce the misidentification of the SVM classifier. …”
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Epidemiological Community and Differences of Transmissive Infections in Astrakhan Region by S. V. Ugleva, V. G. Akimkin, Z. B. Ponezheva, R. R. Akhmerova, A. E. Spirenkova, Y. Y. Chernikova, S. V. Shabalina

“…There are no differences significantly affecting the epidemic process of CCHF and ASF, so preventive measures are mainly aimed at controlling the vectors of the pathogens of these infections. …”
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Study of adaptive control system of asynchronous electric drive belt conveyor by V. N. Meshcheryakov, E. S. Mantukhov, A. V. Sdvizhkov

“…With the help of computer modeling, graphs of transient processes in the asynchronous electric drive system with vector control are obtained, the results of modeling dynamic characteristics and quality indicators in systems with a speed sensor mounted on the motor shaft and with speed observers. …”
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Speech Databases, Speech Features, and Classifiers in Speech Emotion Recognition: A Review by G. H. Mohmad Dar, Radhakrishnan Delhibabu

“…The review highlights the need for future work to address real-time processing, context-sensitive emotion detection, and the integration of multi-modal data to enhance the performance of SER systems. …”
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Auxiliary Converter with Voltage Closed-loop Control by TANG Zihui, JIANG Xuejun, WEI Gang

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Robust algorithm for electric fault diagnosis in the three phase induction machine based on spectral and wavelet tools. by Francisco Javier Villalobos Piña, Ricardo Álvarez Salas

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