DESCRIPTION AND IDENTIFICATION OF TEMPORAL REGULARITIES FOR FUZZY TIME SERIES WITH APPLICATION OF HYBRID OLS-PATTERNS by D. V. Dultsev, L. I. Suchkova

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Physiology-informed regularisation enables training of universal differential equation systems for biological applications. by Max de Rooij, Balázs Erdős, Natal A W van Riel, Shauna D O'Donovan

“…The integration of neural networks and mechanistic models, forming universal differential equation (UDE) models, enables the automated learning of unknown model terms with less data than neural networks alone. Nevertheless, estimating parameters for these hybrid models remains difficult with sparse data and limited sampling durations that are common in biological applications. …”
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Research and application of new method based on MDT intelligent analysis of LTE radio interference by Qizhu ZHONG, Xiuquan WU, Yaoman LUO

“…Aiming at the traditional LTE (long term evolution) wireless interference judgment analysis method has insufficient user dimension data,insufficient correlation of quality reasons,and too much dependence on manual analysis.A new method based on MDT (minimized drive test) technology for intelligent analysis of LTE radio interference was proposed.Firstly,the user’s wireless quality data and latitude and longitude information were collected by using MDT and MR (measurement report),and then DBSCAN (density-based spatial clustering of applications with noise) and adaptive clustering algorithm were used to collect the wireless coverage indicators and the latitude and longitude and other data were used for cluster analysis.Finally,the clustered data was imported into the self-built wireless interference judgment model,and the interference type was analyzed to realize the intelligent analysis of LTE wireless interference.Compared with the traditional interference analysis method,the proposed method can avoid the complicated road test process and improve the accuracy of the analysis.Data acquisition clustering and model analysis experiments show that the new method improves the efficiency and location accuracy of data collection,and effectively reduces the time of manual investment while the results are more accurate.…”
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Application of Engineering Science Model Based on Fuzzy Sets in Enterprise Financial Evaluation Index by Yue Wang

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Cooperative Hybrid Modelling and Dimensionality Reduction for a Failure Monitoring Application in Industrial Systems by Morgane Suhas, Emmanuelle Abisset-Chavanne, Pierre-André Rey

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Application of Improved Electromagnetism-like Mechanism Algorithm on Massive Remote Sensing Image Screening by Yingjie Fang, Kun Liu, Xun Zhang, Gang Lin, Huibing Wang, Lina Dong, Su Li

“…The cost of the efficient storage, transmission, and processing of multi-source massive remote sensing data is very high. In practical applications, it is usually necessary to screen out data that meet specific coverage requirements from a large amount of remote sensing data, which can be regarded as a set covering problem. …”
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The Multicultural Values in the Novel “99 Cahaya di Langit Eropa” and Their Application in Literary Education by Amar Salahuddin, Faradilla Intan Sari, Dian Okta Vinola, Gingga Prananda

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Effects of Sampling Frequency on Human Activity Recognition with Machine Learning Aiming at Clinical Applications by Takahiro Yamane, Moeka Kimura, Mizuki Morita

“…However, lowering the frequency to 1 Hz decreases the accuracy of many activities, particularly brushing teeth. Using data with a 10 Hz sampling frequency can maintain recognition accuracy while decreasing data volume, enabling long-term patient monitoring and device miniaturization for clinical applications.…”
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Development of Creatorku Application for Managing Digital Influencer Portfolios using Lean Startup Approach by Muhammad Husni Tamiri, Elyza Gustri Wahyuni

“…Influencers face significant challenges in managing their digital portfolios to present analytics data professionally. Manual processes, such as taking screenshots and compiling data, which are time-consuming, often reduce work efficiency. …”
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An Intelligent Diagnostic System to Analyze Early-Stage Chronic Kidney Disease for Clinical Application by N. I. Md. Ashafuddula, Bayezid Islam, Rafiqul Islam

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The Utilization of the Blooket Application to Enhance the Learning of Akidah Akhlak Subject at Junior High School by Dewi Khanah, Naufal Ahmad Rijalul Alam

“…A descriptive qualitative approach was employed by using primary and secondary data sources. Primary data is obtained from interviews and observations, while secondary data is collected through documentation. …”
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A Unit Weibull Loss Distribution with Quantile Regression and Practical Applications to Actuarial Science by Abdul Ghaniyyu Abubakari, Suleman Nasiru, Christophe Chesneau

“…A quantile regression model with responses following the unit distribution is developed. Applications of the proposed distribution and its corresponding regression model to three insurance data sets are carried out, with their performance compared with other models. …”
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Bayesian Analysis for Dynamic Generalized Linear Latent Model with Application to Tree Survival Rate by Yu-sheng Cheng, Mei-wen Ding, Ye-mao Xia, Wen-fa Zhan

“…However, in real applications, most data sets are collected in follow-up, which leads to the temporal correlation among the data. …”
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Twin Support Vector Regression Model Based on Heteroscedastic Gaussian Noise and Its Application by Shiguang Zhang, Ge Feng, Feng Yuan, Shuangle Guo

“…The main purpose of twin support vector regression (TSVR) is to find linear or nonlinear relationships in sample data, and then predict future data. TSVR is the decomposition of a large convex quadratic programming problem into two small convex quadratic programming problems. …”
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Regression Modeling Using Generalized Pareto-IV Distribution With Application to Household Budget Survey by January Ponera, Srinivasa Rao Gadde, Ismail Abbas

“…The study introduced the new regression model by the T-X family technique of Type I half-logistic and Pareto IV distribution (TIHLPIV) that had to solve the weaknesses of mixed methods, which are limited to applicability, data requirements, and computational complexity. …”
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Exploration and application of in-situ stress estimation method based on core disking phenomenon of boreholes by YAN Shaokun, WANG Chenghu, GAO Guiyun, LIU Jikun, DAI Xiangqian

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In-situ modification of SiO2 coatings on steel plates for water repellent applications by Linda Silvia, Yuniar Mughayyirah, Sudarsono, Nurul Huda Osman, Muhammad Mahyiddin Ramli, Mochamad Zainuri, Darminto

“…The coated steel plates exhibited excellent hydrophobic properties, offering promising potential for practical applications in water-repellent technologies.…”
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Ultrasound Segmentation Using Semi-Supervised Learning: Application in Point-of-Care Sarcopenia Assessment by Hamza Rasaee, Maryia Samuel, Bahareh Behboodi, Jonathan Afilalo, Hassan Rivaz

“…However, accurate automatic segmentation of ultrasound images remains challenging, particularly in scenarios with limited labeled data. In this paper, we propose a semi-supervised learning approach for ultrasound image segmentation, leveraging the statistics of data in unlabeled images to enhance segmentation accuracy. …”
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Assertive Behavior and Its Application by Islamic Education Teacher in The Assessment of Student Learning Outcomes by Husna Nuur Huda

“…Furthermore, the data analysis were using the model of Miles and Huberman which are data reduction, data presentation, and drawing conclusions. …”
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Application Specific Sleep-Awake Strategy for Increasing Network Lifetime in Wireless Sensor Networks by Sinan Toklu, Mehmet Şimşek

“…Wireless Sensor Networks (WSN) is a technology that provides distributed data collection. However, these networks have some limitations. …”
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