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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Artificial Intelligence and Machine Learning Approaches for Target-Based Drug Discovery: A Focus on GPCR-Ligand Interactions by M. O. Otun

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A survey on multi-agent reinforcement learning and its application by Zepeng Ning, Lihua Xie

“…Our survey also encompasses a detailed examination of benchmark environments used in MARL research, which are instrumental in evaluating MARL algorithms and demonstrate the adaptability of MARL to diverse application scenarios. …”
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An enhanced image protection framework: polynomial-based secret sharing meets information hiding by Xiaopeng Li, Zhengxin Fu, Yuan Gao, Bin Yu

“…Secret image sharing has emerged as a prominent research topic in recent years, aiming to transfer meaningful shares while ensuring that covert communication activities remain hidden from potential attackers' monitoring and analysis. …”
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Analysis of the converter with fourteenzone voltage regulation by V. Mykhailenko, V. Svyatnenko, S. Tsyvinskiy, V. Voytyuk

“…The mathematical model of the semiconductor converter is also used to research transients in semiconductor converters with active inductive load. …”
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Wineinformatics: Wine Score Prediction with Wine Price and Reviews by Yuka Nagayoshi, Bernard Chen

“…These results indicate that incorporating price as an attribute enhances machine learning algorithms’ ability to recognize the correlation between wine reviews and scores.…”
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Digital Watermarking Technology for AI-Generated Images: A Survey by Huixin Luo, Li Li, Juncheng Li

“…Finally, we discuss the unresolved issues and propose several potential directions for future research. We look forward to this paper offering valuable reference for academics in the field of AIGC watermarking and related fields.…”
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Autoinflammatory diseases: An immunologist’s view by A. Yu. Shcherbina

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Real time thermal environment monitoring and interior design of intelligent buildings based on the Internet of Things by Lang Jiaoyu

“…Designed an intelligent building indoor real-time thermal environment monitoring system based on the Internet of Things, constructed the system architecture, and proposed effective indoor monitoring algorithms to determine the monitoring effect of the system through data analysis. …”
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CALCULATION OF WEIGHT COEFFICIENTS IN CONTINUOUS PARTICLE FILTER by K. A. Rybakov

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Detecting Source Code Plagiarism in Student Assignment Submissions Using Clustering Techniques by Raddam Sami Mehsen, Majharoddin M. Kazi, Hiren Joshi

“…Numerous studies have investigated algorithms for revealing different types of plagiarism and detecting source code plagiarism. …”
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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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Emotional Factor Recognition and Teaching Strategy Adjustment in Cultural Teaching Supported by Artificial Intelligence by Yu Xiaochen

“…Emotion recognition technology collects students’ facial expressions, speech features, and physiological data, and uses deep learning algorithms to analyze students’ emotional states in real time, providing accurate feedback support for teaching. …”
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Dynamic load balancing in cloud computing using predictive graph networks and adaptive neural scheduling by K. Rajammal, M. Chinnadurai

“…Additionally, comparative analyses with existing optimization algorithms exhibit the proposed model ability in managing the loads in cloud computing. …”
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An Analysis of Intelligent Turkish Text Classification Models for Routing Calls in Call Centers: A Case Study on the Republic of Turkiye Ministry of Trade Call Center by Muammer Özdemir, Yasin Ortakcı

“…Through a comprehensive analysis, the study answers key research questions regarding optimal classifiers and vectorization methods. …”
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Dielectric tensor prediction for inorganic materials using latent information from preferred potential by Zetian Mao, WenWen Li, Jethro Tan

“…Abstract Dielectrics are crucial for technologies like flash memory, CPUs, photovoltaics, and capacitors, but public data on these materials are scarce, restricting research and development. Existing machine learning models have focused on predicting scalar polycrystalline dielectric constants, neglecting the directional nature of dielectric tensors essential for material design. …”
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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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Radar-Based Heart Cardiac Activity Measurements: A Review by Alvaro Frazao, Pedro Pinho, Daniel Albuquerque

“…What was found was that the system architecture and signal processing algorithms had the most impact on the performance, with FMCW being the best performing architecture, whereas factors like carrier frequency did not have an impact.This means that newer systems can focus on cheaper, lower-frequency systems without any performance degradation, which will make research easier.…”
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The impact of artificial intelligence on accounting practices: an academic perspective by Talal Fawzi Alruwaili, Mahfoudh Hussein Mgammal

“…Using structured surveys and composite-based structural equation modeling (SEM) with the ADANCO approach, the research evaluates accounting academics’ knowledge, attitudes, and practices (KAP) regarding-AI. …”
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