Transitional loss of consciousness as an interdisciplinary problem of diagnosis by N. N. Petrova, N. V. Semenova

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Classifying Location Points as Daily Activities using Simultaneously Optimized DBSCAN-TE Parameters. by Gregory S. Macfarlane, Gillian Riches, Emily K. Youngs, Jared A. Nielsen

“…In this research, we apply a simulated annealing optimization procedure to identify the values of four parameters used in a density-based spatial clustering with additional noise and time entropy (DBSCAN-TE) algorithm. …”
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Predicting the Performance of Rural Banks in Ghana Using Machine Learning Approach by Emmanuel Awoin, Peter Appiahene, Frank Gyasi, Abdulai Sabtiwu

“…The result of the study suggested that the C5.0 algorithm gave an accuracy of 100%, followed by the CART algorithm with an accuracy of 84.6% and, finally, the C4.5 algorithm with an accuracy of 83.34 on average. …”
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Clinical decision support system for lipid metabolism disorders: relevance and potential by A. S. Alieva, E. I. Pavlyuk, E. M. Alborova, N. E. Zvartau, A. O. Konradi, A. L. Katapano, E. V. Shlyakhto

“…This review highlights the effectiveness of CDSS implementation in medical practice as a means for making decisions in managing patients with dyslipidemia, as well as presents the algorithm for CDSS for lipid metabolism disorders created by specialists of the Almazov National Medical Research Center and the University of Milan.…”
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ISOLATED SARCOIDOSIS OF THE HEART: CLINICAL CASE AND LITERARY REVIEW by O. M. Moiseeva, E. N. Mikhailov, L. B. Mitrofanova, D. A. Khashchevskaya, E. S. Ignatieva, K. N. Malikov, D. V. Ryzhkova

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Online incremental updating for model enhancement based on multi-perspective trusted intervals by Na Fang, Xianwen Fang, Ke Lu

“…The results show that the algorithm can execute quickly and improve the quality of the model even in a non-ideal state where the logs contain noise.…”
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A Machine Learning Approach to Evaluate the Performance of Rural Bank by Jun Wei, Tao Ye, Zhe Zhang

“…In the current performance evaluation works of commercial banks, most of the researches only focus on the relationship between a single characteristic and performance and lack a comprehensive analysis of characteristics. …”
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The incidence and prevalence of Dupuytren’s disease in primary care: results from a text mining approach on registration data by Roel J. M. van Straalen, Michiel R. de Boer, Francine Vos, Paul M. N. Werker, Dieuwke C. Broekstra

“…We present the first study that estimates the incidence and prevalence of DD in primary care by applying a text-mining algorithm to registration data.Methods This is a population-based cohort study using electronic health records from Dutch general practices involved in a regional research network. …”
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Top2Vec Topic Modeling to Analyze the Dynamics of Publication Activity Related to Environmental Monitoring Using Unmanned Aerial Vehicles by Vladimir Albrekht, Ravil I. Mukhamediev, Yelena Popova, Elena Muhamedijeva, Asset Botaibekov

“…This study uses the Top2Vec algorithm for topic modeling algorithm aimed at analyzing abstracts of more than 556 thousand scientific articles published on the arXiv platform from 2010 to 2023. …”
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Operation standardization evaluation method based on improved YOLOv8n for ship equipment disassembly and assembly by Zhendong ZHANG, Cong GUAN, Zehui ZHANG, Chao WU, Xuewen DING

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Power Management Controller for Microgrid Integration of Hybrid PV/Fuel Cell System Based on Artificial Deep Neural Network by Abdulbaset Abdulhamed Mohamed Nureddin, Javad Rahebi, Adel Ab-BelKhair

“…Based on the investigation report, an algorithm is proposed for an advanced maximum power point tracking (MPPT) controller. …”
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Digital Twin and TD3-Enabled Optimization of xEV Energy Management in Vehicle-to-Grid Networks by Irum Saba, Abdulraheem H. Alobaidi, Sultan Alghamdi, Muhammad Tariq

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Artificial intelligence for children with attention deficit/hyperactivity disorder: a scoping review by Bo Sun, Bo Sun, Fei Cai, Huiman Huang, Bo Li, Bing Wei

“…A higher level of accuracy (98.23%) was found in studies that used Convolutional Neural Networks algorithm. This review provides an overview of research on artificial intelligence models and algorithms for attention deficit/hyperactivity disorder, providing data for further research to support clinical decision-making in healthcare.…”
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Tightly Coupling Fusion of UWB Ranging and IMU Pedestrian Dead Reckoning for Indoor Localization by Rashid Ali, Ran Liu, Anand Nayyar, Basit Qureshi, Zhiqiang Cao

“…The main goal of this research is to investigate and compare two different sensor data fusion techniques. …”
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A Large-Scale Building Unsupervised Extraction Method Leveraging Airborne LiDAR Point Clouds and Remote Sensing Images Based on a Dual P-Snake Model by Zeyu Tian, Yong Fang, Xiaohui Fang, Yan Ma, Han Li

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Load Model Construction and Parameter Identification Method of Inverter-Interfaced Distributed Generator by Jie LI, Jie WANG, Wenteng LIANG, Lushan SHI, Bolun WANG, Yufeng XIONG, Liangju ZHANG, Xia ZHOU

“…[Introduction] Distributed generation (DG) has a significant impact on the operational characteristics of the load side of the power grid. However, current research focuses mainly on analyzing and modeling the characteristics of a single type of distributed generation, and there is limited research on general models that can uniformly describe DGs with certain similarities. …”
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Real-Time Energy Management in Microgrids: Integrating T-Cell Optimization, Droop Control, and HIL Validation with OPAL-RT by Achraf Boukaibat, Nissrine Krami, Youssef Rochdi, Yassir El Bakkali, Mohamed Laamim, Abdelilah Rochd

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Analysis of rating methods for assessing the scientific and technological development of the Federal districts of the Russian Federation by N. E. Egorov, G. S. Kovrov

“…The correlation between the results of the ratings under consideration is determined.Conclusions and Relevance:  according to the authors, the selected ratings can be used as adequate methods for assessing the level of scientific and technological development of the Federal districts of the Russian Federation. The proposed research algorithm allows us to demonstrate the correlation between the results of scientific and technological development ratings. …”
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Automated Semantic Segmentation of Arctic Surface Water Features with Very-High Resolution Satellite X-Band Radar Imagery and U-Net Deep Learning: Segmentation sémantique automatis... by Michael Allan Merchant, Masoud Mahdianpari, Laura Bourgeau-Chavez, Ben DeVries, Aaron Berg

“…Our study proposes a modified U-Net encoder-decoder model for this task, optimized using the Nadam algorithm. Otsu thresholding was leveraged to rapidly generate 512 × 512-pixel patches for the U-Net, resulting in an efficient and automated training pipeline. …”
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Phenotyping of outpatients with heart failure with preserved ejection fraction and poor prognosis by V. N. Larina, V. I. Lunev

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