The occurrence of and risk factors for depressive symptomatology in myocarditis survivors: a cross-sectional survey-based study using machine learning by Jean Marrero-Polanco, Laura Suarez Pardo, Shehzad K. Niazi, Daniel G. Smith, Cynthia J. Stoppel, Candace Moose, Arjun P. Athreya, Arjun P. Athreya, Leslie T. Cooper, Leslie T. Cooper, William V. Bobo

“…BackgroundThe frequency and impact of depressive symptoms in myocarditis survivors are poorly understood.ObjectivesWe conducted a cross-sectional study to identify risk factors and the relative importance of each for predicting clinically significant depressive symptomatology in myocarditis survivors.MethodsParticipants completed an electronic survey assessing sociodemographic, general health, and myocarditis-related variables, as well as self-reported cardiac symptoms and personal and family mental health history. …”
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Penerapan SMOTE untuk Mengatasi Imbalance Class dalam Klasifikasi Kepribadian MBTI Menggunakan Naive Bayes Classifier by Mutiara Persada Pulungan, Andi Purnomo, Aliyah Kurniasih

“…Additionally, the Term Frequency-Inverse Document Frequency (TF-IDF) method is used to extract important features from text. …”
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Fault Diagnosis Method for Open-circuit Faults in NPC Three-level Inverter based on WKCNN by Guozheng Zhang, Menghui Li, Xin Gu, Wei Chen

“…Experimental results under various operating conditions demonstrate that this approach maintains robust diagnostic accuracy across multiple fault scenarios, with comparative analysis further confirming its advantages in diagnostic efficiency and performance over traditional machine learning and other deep learning methods.…”
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Implementation Method of GEO and LEO Satellite Tracking Compatible Flat-Plate Antenna by Jian CHEN, Zhengqian ZHANG, Xinsheng MA, Ting CHAO, Gangtao GUO

“…In order to improve the portability, disassembly and usability of the satellite communication antenna products in the fi eld, a GEO and LEO satellite tracking compatible fl at-plate antenna implementation method was proposed, the micro strip array antenna was integrated with the radio frequency channel, and the radio frequency of the antenna was fl at and integrated, combined with the high density multi-layer vertical interconnection technology, the whole machine was small in size, light in weight and low in power consumption, and the tracking control unit could satisfi ed the requirements of GEO Beacon and carrier tracking, also could satisfi ed the LEO analysis and the program guidance tracking.The antenna did not need manual assembly and disassembly, and could be used for satellite communication with onebutton deployment.high-precision tracking and stable communication could be achieved for GEO, MEO and LEO satellite.…”
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Comparing Machine Learning-Based Crime Hotspots Versus Police Districts: What’s the Best Approach for Crime Forecasting? by Eugenio Cesario, Paolo Lindia, Andrea Vinci

“…However, traditional spatial partitioning approaches, which divide cities into predefined police districts based on geographic and operational considerations, often fail to account for variations in crime patterns. In contrast, machine learning-based approaches could dynamically adapt to areas with differing crime frequencies and densities, making them particularly effective in cities characterized by diverse population distributions and crime activity levels. …”
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Chronic stress in practice assistants: An analytic approach comparing four machine learning classifiers with a standard logistic regression model. by Arezoo Bozorgmehr, Anika Thielmann, Birgitta Weltermann

“…<h4>Methods</h4>We applied four machine learning classifiers (random forest, support vector machine, K-nearest neighbors', and artificial neural network) and logistic regression as standard approach to analyze factors contributing to chronic stress in practice assistants. …”
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BEARING FAULT DIAGNOSIS METHOD BASED ON WINGER DISTRIBUTION AND SINGULAR VALUE DECOMPOSITION by QIN HongMao, SUN JiaBing, SUN Ning

“…Firstly,winger distribution is applied to analyze the original vibration signal,then,analysis to winger spectral matrix based on singular value decomposition is conducted,and characteristic sequences which reflect the mechanical fault state is achieved,finally,taking the singular value of winger spectral as eigenvector to do the fault diagnosis with Support Vector Machine（ SVM）. The experimental results show that this method can effectively extract fault features.…”
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Risk Analysis on FGH Terminal Using Importance Index and Bowtie Analysis Methods by Mirga Maulana Rachmadhani, Mardhiah Gani, Aprisa Rian Histiarini, Oki Febiyani Amalia Tuankotta

“…Risk analysis using the Importance Index (IMPI) method is carried out to assess risks by calculating the Frequency Index and Severity Index values, identifying the causes and consequences of risks that are classified as significant, analyzing the causes and impacts of risks and preventive actions and recovery actions from existing risks, and then will be described in a bowtie diagram. …”
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Multiple-Fault Diagnosis Method Based on Multiscale Feature Extraction and MSVM_PPA by Min Zhang, Zhenyu Cai, Wenming Cheng

“…In this paper, a novel method called multiscale feature extraction (MFE) and multiclass support vector machine (MSVM) with particle parameter adaptive (PPA) is proposed. …”
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Inverse-design topology optimization of magnonic devices using level-set method by Andrey A. Voronov, Marcos Cuervo Santos, Florian Bruckner, Dieter Suess, Andrii V. Chumak, Claas Abert

“…Abstract The inverse design approach in magnonics exploits the wave nature of magnons and machine learning to develop logical devices with functionalities that exceed the capabilities of analytical methods. …”
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Performance Evaluation of Neighbors-Based Learning Methods for Network Intrusion Detection System by Ngoc Thien Nguyen

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Advances in Infant Cry Paralinguistic Classification—Methods, Implementation, and Applications: Systematic Review by Geofrey Owino, Bernard Shibwabo

“…ResultsNotable advancements in infant cry classification methods were realized, particularly from 2019 onward, using machine learning, deep learning, and hybrid approaches. …”
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Vibration, current, torque, RPM dataset for multiple fault conditions in industrial-scale electric motors under randomized speed and load variationsMendeley DataMendeley DataMendel... by Wonho Jung, Junho Kim, Kangmin Jang, Sung-Hyun Yun, Daeguen Lim, Minje Jin, Yong-Hwa Park

“…The dataset was collected to support the development and validation of data-driven fault detection methods across diverse mechanical and electrical systems. …”
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A Micro-Topography Enhancement Method for DEMs: Advancing Geological Hazard Identification by Qiulin He, Xiujun Dong, Haoliang Li, Bo Deng, Jingsong Sima

“…Geological hazards in densely vegetated mountainous regions are challenging to detect due to terrain concealment and the limitations of traditional visualization methods. This study introduces the LiDAR image highlighting algorithm (LIHA), a novel approach for enhancing micro-topographical features in digital elevation models (DEMs) derived from airborne LiDAR data. …”
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The determination of optimal cells disintegration method of Candida albicans and Candida tropicalis fungals by M. V. Rybalkyn

“…Many researchers to highlight cytoplasm antigens and all the other layers of the cell use the following methods: grinding cells with quartz sand, destroying them in different machine disintegrating, freezing and thawing a multi others. …”
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Prediction of traditional Chinese medicine for diabetes based on the multi-source ensemble method by Bin Yang, Qingyun Chi, Xiang Li, Jinglong Wang

“…IntroductionTraditional Chinese medicine (TCM) prescriptions are generally formulated by experienced TCM researchers based on their expertise and data statistical methods.MethodsIn order to predict TCM formulas for diabetes more accurately, this paper proposes a novel multi-source ensemble prediction method that combines machine learning ensemble techniques and multi-source data. …”
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Experimental Study on a New Reinforcement Method for Multilayer Industrial Building’s Vibration by Kaizhong Xie, Hongwei Wang, Jianxi Zhou, Xiao Luo, Miao Yue

“…The results show that the new reinforcement method has a good reinforcement effect. Strength and stiffness of multilayer industrial building were obviously improved, and natural frequency of industrial building in the length direction increased from 2.45 Hz to 5.87 Hz, natural frequency of industrial building in the width direction increased from 2.94 Hz to 7.83 Hz, frequencies of machines and frequencies of multilayer industrial building were not in resonance range, acceleration and velocity vibration characteristics of multilayer industrial building were improved, which can provide reference for the reinforcement of multilayer industrial building with a similar structural configuration.…”
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Stability analysis method of high-speed milling considering feed rate influence by HAN Chentong, GUO Miaoxian, JIANG Xiaohui, WEI Shouheng, LUO Shijin

“…The results show that the proposed method can determine milling stability more accurately for high-speed machining with small radial cutting depth. …”
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A Numerical-Experimental Method for Drop Impact Analysis of Composite Landing Gear by Yongliang Guan, Zhipeng Xue, Ming Li, Hongguang Jia

“…An experimental modal analysis is employed to predict the linear parameters with a frequency response function, and the nonlinear parameters caused by large deflection are identified by a nonlinear static test with the nonlinear least squares method. …”
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Mathematical and Machine Learning Innovations for Power Systems: Predicting Transformer Oil Temperature with Beluga Whale Optimization-Based Hybrid Neural Networks by Jingrui Liu, Zhiwen Hou, Bowei Liu, Xinhui Zhou

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