Search Results - research algorithm

A review of machine learning approaches for the discovery of thermoelectric materials by Övgü C. Yelgel, Celal Yelgel

“…Recent progress in computational infrastructure, along with the advent of data-centric approaches such as machine learning (ML), has transformed the landscape of thermoelectric research. ML algorithms, trained on comprehensive datasets including experimental measurements, crystallographic data, and density functional theory (DFT) results can predict key TE metrics, such as the figure of merit (ZT), with remarkable speed and accuracy. …”
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Stroke Risk Classification Using the Ensemble Learning Method of XGBoost and Random Forest by Gullam Almuzadid, Egia Rosi Subhiyakto

“…This study proposes a stroke risk classification model using ensemble learning that combines Random Forest and XGBoost algorithms. A Kaggle dataset with 5110 samples (249 stroke, 4861 non-stroke) presented significant class imbalance. …”
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Metrics and Science Monograph Collections at the Marston Science Library, University of Florida. by Michelle F. Leonard, Stephanie C. Haas, Vernon N. Kisling

“…While data collection techniques are still not standardized and results may be skewed because of granularity problems, faulty algorithms, and a host of other factors, useful baseline data is extractable and broad trends can be identified. …”
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Analysis of the electromagnetic processes in converter with converter with eleven zone voltage regulation by В. Михайленко, Є. Троценко, Ю. Чуняк

“…The mathematical model of the semiconductor converter is also used to research transients in semiconductor converters with active inductive load. …”
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Fault Diagnosis of Induction Motors: An Architecture for Real-Time Assessment as a Cyber-Physical System by Ranjan Sasti Charan PAL, Nagesh DEWANGAN, Amiya Ranjan MOHANTY

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Autoinflammatory diseases: An immunologist’s view by A. Yu. Shcherbina

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CALCULATION OF WEIGHT COEFFICIENTS IN CONTINUOUS PARTICLE FILTER by K. A. Rybakov

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Study of the electromagnetic processes in converter with twenty four zoned regulations of the voltage by В. Михайленко, Ю. Чуняк, М. Прудніков

“…The mathematical model of the semiconductor converter is also used to research transients in semiconductor converters with active inductive load. …”
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A Review of Control Strategies for Four-Switch Buck–Boost Converters by Guanzheng Lin, Yan Li, Zhaoyun Zhang

“…Hard-switching multi-mode control strategies aim to improve control algorithms and logic to mitigate large duty cycle variations and voltage gain discontinuities caused by dead zones. …”
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Why does the Media Disregard Internal Fact-Checking? The Fact-Checking Logic Determination in the Case of Ukrainian Media by Artem Zakharchenko, Anna Nagorna, Oleksandr Chekmyshev

“…Through the qualitative research applying semi-structured interviews with seven news editors of the leading Ukrainian online media, we have revealed that their fact-checking logic is built on the efforts for reconciliation between accuracy and other factors like speed, social media algorithms, audience metrics, virality, and the management style of editors-in-chief. …”
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Russian healthcare system digitalization: Opportunities and contradictions by A. I. Afyan, D. V. Polozova, A. A. Gordeeva

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Between machines and art: The impact of CNC technology on artistic creation by Marcelo Fraile-Narváez, Mihaela I. Chidean

“…The study thus positions Gorosito as an open and reproducible framework that any creative-code laboratory can adopt, bridging machine learning research with low-cost digital fabrication.…”
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Internal Model Control for a Light-Weight Active Noise-Reducing Casing by Krzysztof MAZUR, Marek PAWEŁCZYK

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Integration of artificial intelligence in advanced oxidation processes for sustainable wastewater treatment: A bibliometric and scientometric analysis (2014–2025) by Reyhan Ata

“…This study conducts a comprehensive bibliometric and scientometric analysis of 2933 publications from 2014 to 2025, retrieved from the Scopus database, to map the evolution of AI-AOP research. China leads with 839 publications, while Chemosphere is the most active journal, publishing 99 articles. …”
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Predicting Alzheimer's Disease onset: A machine learning framework for early diagnosis using biomarker data by Shehu Mohammed, Neha Malhotra

“…In response to the formulated research problem, this study articulates a new multimodal machine-learning framework for early AD diagnosis. …”
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Novel therapeutic approaches to correct retinal metabolic abnormalities in primary open-angle glaucoma and age-related macular degeneration by K. A. Mirzabekova

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Analysis on Acoustic Disturbance Signals Expected During Partial Discharge Measurements in Power Transformers by Michał KUNICKI

“…Finally, observed properties also provide a solid basis for establishing or improving complete classification method based on the artificial intelligence algorithms.…”
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Diagnostics of Linear Systems in the State Space by Verlan A. F., Polozhaenko S. A.

“…The purpose of this research was to further develop the model-oriented methods for diagnosis of the technical state of the electrical systems and devices, which was achieved by formalizing the task and developing constructive algorithms for localization of faulty subsystems in the state space. …”
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Real-Time Waste Detection and Classification Using YOLOv12-Based Deep Learning Model by Mosharof Hossain Dipo, Fahmid Al Farid, Md. Sifti Al Mahmud, Muntasir Momtaz, Shakila Rahman, Jia Uddin, Hezerul Abdul Karim

“…Results indicate that the YOLOv12 model surpasses the current detection algorithms to provide an efficient and scalable solution to waste management challenges.…”
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Comparative characteristics of quantitative and structural chromosome abnormalities at the time of diagnosis and in relapses of acute myeloid leukemias by S.V. Andreieva, K.V. Korets, I.M. Skorokhod, I.R. Hartovska, U.I. Melnyk

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