DETECTION OF DAY ANOMALIES AND ITS EFFECT; AN APPLICATION IN BIST FOOD INDEX by Murat Erdogan, Aykan Burak Bolat, Eda Oruç Erdoğan

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Application of Artificial Neural Networks in Predicting Surface Quality and Machining Time by Andrei Raul Osan, Raul Florentin Drenţa

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MZAP—Mobile Application for Basketball Match Tracking and Digitalization of Endgame Reports by Predrag Pecev, Branko Markoski

“…Each report is accompanied by a JSON file containing match data, enabling efficient validation through hashed checksums and facilitating data extraction and searchability. …”
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Techno-economic optimization of hybrid renewable energy system for islands application by Mohammad Toudefallah, Panagiotis Stathopoulos

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Quantitative models of in vitro bacteriophage-host dynamics and their application to phage therapy. by Benjamin J Cairns, Andrew R Timms, Vincent A A Jansen, Ian F Connerton, Robert J H Payne

“…We fit the model to time series data in order to estimate thresholds and rate constants directly. …”
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The status of pesticide application equipment and the possibility of applying European standards and regulations by Maličević Zoran, Jugović Milan

“…Compliance with these standards includes the introduction of legal inspection of machinery and equipment for pesticide application. The aim of the research was to collect data (brand, model, age, technical condition, etc.) on the machinery and equipment for pesticide application, as well as to gather basic data on the operators of these machines (education, basic knowledge, participation in training for safe and proper adjustment of these machines, etc.). …”
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Applications of Complex Uncertain Sequences via Lacunary Almost Statistical Convergence by Xiu-Liang Qiu, Kuldip Raj, Sanjeev Verma, Samrati Gorka, Shixiao Xiao, Qing-Bo Cai

“…Importantly, lacunary almost statistical convergence provides a flexible framework for handling sequences with irregular behavior, which often arise in uncertain environments with imprecise data. This makes our approach particularly useful in practical fields such as engineering, data modeling and decision-making, where traditional deterministic methods are not always applicable. …”
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Application of machine learning in acute upper gastrointestinal bleeding: bibliometric analysis by Qun Li, Guolin Chen, Qiongjie Li, Dongna Guo

“…The study found that these papers mainly focus on three core research hotspots: deepening clinical consensus, precise analysis of medical images, and optimization of data integration and decision support systems.ConclusionsThis study summarizes the latest advancements in the application of machine learning to AUGIB research. …”
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Application of Vocal Biomarkers in the Field of Intelligent Medical Care for Older Adults by Shuyu Han, Wenxia Wang, Yufan Yang, Xiaomeng Wang, Wenmin Zhang, Sikai Shan, Siye Chen, Zhiwen Wang

“…It also proposes key research directions for vocal biomarkers in the field of intelligent medical care, including (1) clarifying and establishing an indicator system for vocal biomarkers of older adult; (2) developing equipment and tools for vocal biomarkers and formulating relevant research standards; (3) deepening basic research on the mechanisms by which vocal characteristics and vocal biomarkers are associated with health outcomes of older adults; (4) strengthening research on prediction models of health outcomes related to vocal biomarkers; (5) promoting the research and application of vocal biomarkers in assisting disease diagnosis and clinical decision-making; and (6) establishing a large population cohort and data platform for vocal biomarkers. …”
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Applicability of Different Assimilation Algorithms in Crop Growth Model Simulation of Evapotranspiration by Jingshu Wang, Ping Li, Rutian Bi, Lishuai Xu, Peng He, Yingjie Zhao, Xuran Li

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Applicability of Some General Prediction Correlations of Flow Boiling to a Few Pure Substances by Chen Dongsheng, Shi Yumei, Gao Zhiqian

“…But as the correlations are all empirical or semi-empirical, the accuracy of predicted results would be very different when applying them on different substances or in different working condition. To evaluate the applicability of the present flow boiling prediction correlations for pure substances, eight general predictive correlations are chosen and the prediction results of them are compared with the experimental data from some open literatures for R134a, CO2, liquid nitrogen. …”
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A CASE OF DNA-DIAGNOSTICS APPLICATION FOR ARRHYTHMOGENIC RIGHT VENTRICLE CARDIOMYOPATHY by A. G. Shestak, O. V. Blagova, Yu. A. Lutokhina, Yu. V. Frolova, S. L. Dzemeshkevich, E. V. Zaklyazminskaya

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Trends in the Application of Citizen Science in Waterbird Conservation: A Bibliometric Analysis by Ruilin Wang, Keming Ma

“…However, a systematic description of the application of citizen science data in waterbird conservation remains lacking. …”
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Game and Application Purchasing Patterns on Steam using K-Means Algorithm by Salman Fauzan Fahri Aulia, Yana Aditia Gerhana, Eva Nurlatifah

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Application of artificial intelligence in the diagnosis and treatment of lacrimal disorders: challenges and opportunities by PENG Xintong, LI Guangyu

“…AI has the ability to provide more precise disease identification and treatment strategies through efficient image analysis, multimodal data fusion, and deep learning algorithms. Additionally, it enables regular monitoring and dynamic adjustment of patients' conditions, improving treatment outcomes. …”
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Research and Application of Intelligent Terminal Network Performance and Problem Location Method by Huiyu Yang, Haobin Zheng, Jinsheng Li, Hanxin Lv

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GEOINFORMATIC BACKGROUND OF GEOTHERMAL ENERGY UTILISATION AND ITS APPLICATIONS IN EAST HUNGARY by TAMÁS BUDAY, ERIKA BUDAY-BÓDI, RICHARD WILLIAM MCINTOSH, MIKLÓS KOZÁK

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Fractional-Order MFAC with Application to DC Motor Speed Control System by Haizhen Wang, Huihua Jian, Jianhua Huang, Yonghong Lan

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Scientific Opinion on the electrical requirements for waterbath stunning equipment applicable for poultry by EFSA Panel on Animal Health and Welfare (AHAW)

“…Inspection data from slaughterhouse inspections conducted both in Member States in and non‐Member States were included. …”
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Advanced Applications of Artificial Intelligence in Pharmacovigilance: Current Trends and Future Perspectives by Yogesh S Ahire, Jayesh H Patil, Harshita N Chordiya, Rashmi A Deore, Vinod A Bairagi

“…A new era in pharmacovigilance is being ushered in by the introduction of artificial intelligence (AI), which holds the promise of vast data analysis, automated procedures, and enhanced safety signal detection. …”
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