MOTION PRECISION ANALYSIS OF PERMANENT MAGNET SYBCHRONOUS GRINDING MOTORIZED SPINDLE by GAO Feng, CHENG MingKe, LI Yan, HE PingPing, JIA WeiTao

“…Combined with the time domain and frequency domain signal analysis methods,the axial motion error trajectory is analyzed. …”
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Transfer learning based feature selection for feedforward neural network for speech emotion classifier by D. V. Krasnoproshin, M. I. Vashkevich

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High-accuracy lung sound classification for healthy versus unhealthy diagnosis using artificial neural network by Weiwei Zhang, Xinyu Li, Qiao Liu, Xiangyang Zheng, Yisu Ge, Xiaotian Pan, Xiaotian Pan, Yu Zhou

“…IntroductionIn recent years, advancements in machine learning and electronic stethoscope technology have enabled high-precision recording and analysis of lung sounds, significantly enhancing pulmonary disease diagnosis.MethodsThis study presents a comprehensive approach to classify lung sounds into healthy and unhealthy categories using a dataset collected from 112 subjects, comprising 35 healthy individuals and 77 patients with various pulmonary conditions, such as asthma, heart failure, pneumonia, bronchitis, pleural effusion, lung fibrosis, and chronic obstructive pulmonary disease (COPD), grouped as unhealthy. …”
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An improved synergistic dual-layer feature selection algorithm with two type classifier for efficient intrusion detection in IoT environment by G Logeswari, K Thangaramya, M Selvi, J. Deepika Roselind

“…A robust feature selection subsystem, employing Synergistic Dual-Layer Feature Selection (SDFC) algorithm, combines statistical methods, such as mutual information and variance thresholding, with advanced model-based techniques, including Support Vector Machine (SVM) with Recursive Feature Elimination (RFE) and Particle Swarm Optimization (PSO) are employed to identify the most relevant features. …”
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Humidity Sensing Using Polymers: A Critical Review of Current Technologies and Emerging Trends by Jintian Qian, Ruiqin Tan, Mingxia Feng, Wenfeng Shen, Dawu Lv, Weijie Song

“…Flexible polymer humidity sensors are not only capable of the real-time monitoring of human respiration and skin moisture information but also serve as a non-contact human–machine interaction method. In addition, the development of moist-electric generation technology is expected to break free from the traditional reliance of flexible electronic devices on power equipment, which is of significant importance for the miniaturization, reliability, and environmentally friendly development of flexible devices. …”
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Influence and Potential of Additive Manufactured Reference Geometries for Ultrasonic Testing by Stefan Keuler, Anne Jüngert, Martin Werz, Stefan Weihe

“…Finally, the reflection properties of flat bottom holes (FBH) in reference blocks produced by AM and electrical discharge machining (EDM) were compared. The equivalent reflector size (ERS) of the FBH, which refers to the size of an idealized defect with the same ultrasonic reflection behavior as the measured defect, was determined using the distance gain size (DGS) method—a method that uses the relationship between reflector size, scanning depth, and echo amplitude to evaluate defects. …”
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Four-class ASME BCI: investigation of the feasibility and comparison of two strategies for multiclassing by Simon Kojima, Shin'ichiro Kanoh, Shin'ichiro Kanoh

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Objective and Intelligent Acquisition of Two Types of Decision Data Based on Online Comment Information and Its Application in Emergency Decision-Making by Ruipu Tan, Lehua Yang, Jing Li

“…Therefore, this study developed two methods for the intelligent and objective acquisition of quantitative decision data based on machine learning and online review data and applied the methods to solve practical emergency problems. …”
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Control of an autonomous wind energy conversion system based on doubly fed induction generator supplying a non-linear load by M. L’Hadj Said, M. Ali Moussa, T. Bessaad

“…For this purpose, to reduce this harmonic, the proposed solution is the installation of a LC filter. Methods. The DFIG is controlled to provide a constant voltage in amplitude and frequency independently of the grid load or the drive turbine speed. …”
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Depression and Anxiety Screening for Pregnant Women via Free Conversational Speech in Naturalistic Condition by Rafael T. Sousa, Gustavo D. M. Silva, Paula L. L. Pinto, Juliano Backes, Amanda S. Mota, Thiago M. Paixao, Maria G. S. Teixeira, Wilian H. Hisatugu, Anilton S. Garcia, Kelly S. Prado, Rodrigo S. Dias, Marco A. Galletta, Hermano Tavares

“…This study addresses the challenge by making use of free conversational speech recordings via smartphones as an approach for screening depression and anxiety in pregnant women. By leveraging machine learning techniques to analyze speech patterns, this research seeks to offer a non-invasive, objective, and accessible method for early detection and intervention. …”
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International Transportation Mode Selection through Total Logistics Cost-Based Intelligent Approach by Rushikesh A. Patil, Abhishek D. Patange, Sujit S. Pardeshi

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The Future Is Organic: A Deep Dive into Techniques and Applications for Real-Time Condition Monitoring in SASO Systems—A Systematic Review by Tim Nolte, Sven Tomforde

“…Most approaches (69.09%) use Machine Learning (ML), while only 18.42% apply Deep Learning (DL). …”
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Optimizing Mental Stress Detection via Heart Rate Variability Feature Selection by Mohsen Behradfar, Shotabdi Roy, Joseph Nuamah

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Designing Microservices Using AI: A Systematic Literature Review by Daniel Narváez, Nicolas Battaglia, Alejandro Fernández, Gustavo Rossi

“…To address these issues, artificial intelligence (AI) techniques, such as machine learning (ML) and natural language processing (NLP), have been applied with increasing frequency to automate and enhance the design process. …”
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The Advanced Actuarial Data Science Based AI-Driven Solutions for Automated Loss Reserving Under IFRS 17 in Non-Life Insurance by Brighton Mahohoho, Charles Chimedza, Florance Matarise, Sheunesu Munyira

“…The model leverages advanced machine learning techniques to improve accuracy, efficiency, and adaptability in loss reserves, with a specific focus on inflation-adjusted frequency-severity modeling. …”
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Unsupervised Learning for Reference Signals Overhead Reduction in 3GPP MIMO Systems by Omar M. Sleem, Mohamed Salah Ibrahim, Akshay Malhotra, Mihaela Beluri, Constantino M. Lagoa

“…Toward this end, this paper proposes a machine learning-based approach that enables reference signal-free data channel demodulation. …”
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Classifying schizophrenia using functional MRI and investigating underlying functional phenomena by Yangyang Liu, Bi Wan, Zixuan Liu, Shuaiqi Zhang, Pei Liu, Ningning Ding, Yuxin Wang, Jun Dong, Moiz Kabeer Ahmad, Haisan Zhang

“…Background: Existing studies have revealed functional abnormalities in certain brain regions of patients with schizophrenia (SZ), but the relationships between these abnormalities and their impact on disease progression remain unclear. Methods: Fifty-six patients with SZ and 56 healthy controls were included. …”
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Autonomic nervous system development-related signature as a novel predictive biomarker for immunotherapy in pan-cancers by Cunen Wu, Cunen Wu, Cunen Wu, Cunen Wu, Weiwei Xue, Yuwen Zhuang, Dayue Darrel Duan, Dayue Darrel Duan, Zhou Zhou, Zhou Zhou, Xiaoxiao Wang, Zhenfeng Wu, Jin-yong Zhou, Xiangkun Huan, Ruiping Wang, Haibo Cheng, Haibo Cheng

“…Seven machine learning (ML) methods were applied to identify vital genes associated with both cancer and immune characteristics. …”
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Mechanical Fault Diagnosis based on LCD Information Entropy Feature and SVM by Zhang Qiantu, Fang Liqing, Zhao Yulong, Lv Yan

“…The results of experiment of bearing fault diagnosis demonstrate that the method based on LCD information entropy feature and SVM is able to identify the bearing faults accurately and effectively,and the diagnosis effect is better than the method based on empirical mode decomposition（ EMD） information entropy and SVM.…”
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Internal combustion engine acoustic diagnostics by V. D. Gabidulin

“…To ensure stable performance of transport and technological machines, constant monitoring of their technical condition is necessary. …”
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