Enhancing Epilepsy Seizure Detection Through Advanced EEG Preprocessing Techniques and Peak-to-Peak Amplitude Fluctuation Analysis by Muawiyah A. Bahhah, Eyad Talal Attar

“…<b>Results:</b> The results indicated that the frontal and parietal regions, particularly the electrode areas Cz, Pz and Fp2, are the main contributors to epileptic seizures. Additionally, the implementation of the PPAF metric enhanced the effectiveness of seizure detection and classification algorithms, achieving accuracy rates of 99%, 98% and 95% for datasets with three, four and five seizures, respectively. …”
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Analysis of disease severity and mortality prediction using machine learning during COVID-19 by Hodjat (Hojatollah) Hamidi, Mostafa Moradi

“…This paper focuses on how machine learning (ML) algorithms and applications have been used to analyze disease severity and mortality prediction in COVID-19 research. …”
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Remaining Useful Life Estimation through Deep Learning Partial Differential Equation Models: A Framework for Degradation Dynamics Interpretation Using Latent Variables by Sergio Cofre-Martel, Enrique Lopez Droguett, Mohammad Modarres

“…For the past decade, researchers have explored the application of deep learning (DL) regression algorithms to predict the system’s health state behavior based on sensor readings from the monitoring system. …”
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Comparative analysis of daily global solar radiation prediction using deep learning models inputted with stochastic variables by Amit Kumar Yadav, Raj Kumar, Meizi Wang, Gusztáv Fekete, Tej Singh

“…Abstract Photovoltaic power plant outputs depend on the daily global solar radiation (DGSR). The main issue with DGSR data is its lack of precision. …”
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Mapping Invasive <italic>Spartina alterniflora</italic> Using Phenological Information and Red-Edge Bands of Sentinel-2 Time-Series Data by Yiwei Ma, Li Zhuo, Jingjing Cao

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AGW-YOLO-Based UAV Remote Sensing Approach for Monitoring Levee Cracks by HU Weibo, ZHOU Shaoliang, ZHAO Erfeng, ZHAO Xueqiang

“…Furthermore, the integration of crack detection results with coordinate transformation algorithms enabled the precise geospatial localization of cracks. …”
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Multi-Objective Optimization of Independent Automotive Suspension by AI and Quantum Approaches: A Systematic Review by Muhammad Waqas Arshad, Stefano Lodi, David Q. Liu

“…The optimization of independent automotive suspension systems, which is one of the main pillars of the vehicle performance and comfort, is currently going through a revolutionary change due to the development of artificial intelligence and quantum computing. …”
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Influence of wearable biometric sensors on performance indicators of volleyball players by Guoqing Jia

“…Particularly volleyball requires a variety of difficult motions, including digs and blocks, which are absolutely essential for the result of the game. Research Objectives: The main goal of this work is to provide a wearable sensor-based technique for automating the detection and identification of volleyball-related events like digs and blocks. …”
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A hybrid extraction model for semantic knowledge discovery of water conservancy big data by Yanna Feng, Feng Zhang, Yongheng Zhang, Jiangang Dong, PengJu Wang

“…To address the growing demand for efficient public opinion analysis in water conservancy and related domains, as well as the inefficiencies and limited scalability of existing automated web data extraction algorithms for multi-source datasets, this research integrates advanced technologies including big data analytics, natural language processing, and deep learning. …”
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Syllable-, Bigram-, and Morphology-Driven Pseudoword Generation in Greek by Kosmas Kosmidis, Vassiliki Apostolouda, Anthi Revithiadou

“…Pseudowords are essential in (psycho)linguistic research, offering a way to study language without meaning interference. …”
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Introduction of self-control of enterprise information system through accounting documentation process of by K.О. Volskа

“…The research is devoted to determining the possibility of implementing self-control of an enterprise information system, describing the criteria for building an information system in an enterprise that will be self-organized and capable of self-analysis. …”
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Posttraumatic epilepsy: clinical, diagnostic and therapeutic features by N. E. Maslov, A. A. Litvinova, P. S. Kovalev, N. N. Maslova, N. V. Yuryeva, E. I. Khamtsova

“…Conducting studies on PTE poses numerous challenges because epilepsy never develops in many patients with TBI or it may occur more than 10 years after TBI.In this review, which includes data from studies conducted by Russian researchers, including us, and foreign colleagues over the last few years (mainly 2017–2022), we analyzed and generalized currently known risk factors, clinical and diagnostic features of PTE in order to increase the awareness about modern methods of laboratory and instrumental diagnostics related to this disease (including electroencephalography and routine/special neuroimaging techniques that allow to identify PTE biomarkers). …”
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IMMUNOPATHOGENESIS OF MYASTHENIA GRAVIS (REVIEW) by E. D. Gasymly

“…Thanks to the development of biotechnological methods, the researchers were able to identify the subtype of lymphocytes involved in the development of myasthenia gravis. …”
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Method for Selecting Pulsed Signals by Their Duration in Fading Channels by M. V. Buhaiov, S. V. Zakirov

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Identification of the best housekeeping gene for RT-qPCR analysis of human pancreatic organoids. by Alessandro Cherubini, Francesco Rusconi, Lorenza Lazzari

“…In the last few years, there has been a considerable increase in the use of organoids, which is a new three-dimensional culture technology applied in scientific research. The main reasons for their extensive use are their plasticity and multiple applications, including in regenerative medicine and the screening of new drugs. …”
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Frequency Characteristics of Rhythm Non-Assimilation in Canine Ventricular Fibrillation by M. I. Guryanov

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Prospects of anti-inflammatory and urate-lowering therapy of gout: A vector from the past to the future by A. A. Garanin, N. L. Novichkova, N. L. Novichkova

“…The article provides an overview of new and promising drugs aimed at anti-inflammatory and urate-lowering therapy of gout, both already registered and used in clinical practice, and at the stages of implementation or clinical research and demonstrating their high efficacy and safety. …”
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Intelligent energy management of microgrids using machine learning: Leveraging random forest models for solar and wind power by Hasanur Zaman Anonto, Md Ismail Hossain, Abu Shufian, Md. Shaoran Sayem, S M Tanvir Hassan Shovon, Protik Parvez Sheikh, Sadman Shahriar Alam

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FORECASTING AND OPTIMIZATION OF CATALYTIC CRACKING UNIT OPERATION UNDER CONDITIONS OF FUZZY INFORMATION by Narkez Boranbayeva, Batyr Orazbayev, Leila Rzayeva, Zhalal Karabayev, Murat Alibek, Baktygul Assanova

“…The scientific novelty of the research lies in the development and testing of advanced nonlinear regression models adapted for analyzing and optimizing catalytic cracking processes based on fuzzy data. …”
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Interdisciplinary Distance Learning Workshop for IT Students by I. A. Andrianov, S. A. Rzheutskaya, M. V. Kharina

“…Purpose of research. The purpose of research is to present proposals for the development and use of technologies for automatic checking of problem solutions in the process of forming professional competencies of students of IT-directions in the information educational environment. …”
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