Multimodal deep learning for art behavior analysis and personalized teaching path generation by Yikun Li, Jie Shi

“…Additionally, the study constructs a system architecture covering data layers, algorithm layers, and application layers, enabling real-time dynamic adjustment and visual traceability of teaching paths. …”
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Estimating Chlorophyll-<i>a</i> and Phycocyanin Concentrations in Inland Temperate Lakes across New York State Using Sentinel-2 Images: Application of Google Earth Engine for Effic... by Sara Akbarnejad Nesheli, Lindi J. Quackenbush, Lewis McCaffrey

“…Future work will focus on exploring alternative algorithms that can incorporate diverse data sources and lake characteristics, contributing to a deeper understanding of the relationship between remote sensing data and water quality parameters. …”
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New two parameter hybrid estimator for zero inflated negative binomial regression models by Fatimah A. Almulhim, M. Nagy, Ali T. Hammad, A. H. Mansi, Getachew Tekle Mekiso, M. M. Abd El-Raouf

“…Abstract The zero-inflated negative binomial regression (ZINBR) model is used for modeling count data that exhibit both overdispersion and zero-inflated counts. …”
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Essence of Internet Marketing strategies by T. D. Kolodnik

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Modélisation du changement d’échelles en télédétection par une méthode neuronale : application a l’étude de l’évolution de l’occupation hivernale des sols en Bretagne... by Thomas Houet, Laurence Hubert-Moy, Grégoire Mercier

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A systematic literature review on socio-ecological value scorecards for advancing sustainable smart agriculture by Saeed Niksaz, Fisnik Dalipi, Anita Mirijamdotter

“…It emphasizes the importance of data governance and sharing to unlock the full potential of these technologies, moving beyond traditional, experience-based methods. …”
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County-Level Spatiotemporal Dynamics and Driving Mechanisms of Carbon Emissions in the Pearl River Delta Urban Agglomeration, China by Fei Wang, Changjian Wang, Xiaojie Lin, Zeng Li, Changlong Sun

“…Therefore, this study focused on the Pearl River Delta urban agglomeration in China, adopting nighttime light data and socio-economic spatial data to estimate carbon emissions at the county level. …”
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Industry perceptions of employability skills for agricultural graduates in the fourth industrial revolution by Thembalethu M. Seti, Athenkosi Ngqulana, Olwetu A. Sindesi

“…Practical/managerial implications: The misalignment between industry needs and academic curricula contributes to graduate unemployment. …”
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Essence of Internet Marketing strategies by T. D. Kolodnik

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Smart City Products and Their Materials Assessment Using the Pentagon Framework by Pedro Ponce, Mario Rojas, Juana Isabel Mendez, Brian Anthony, Russel Bradley, Aminah Robinson Fayek

“…Smart cities are complex urban environments that rely on advanced technology and data analytics to enhance city services’ quality of life, sustainability, and efficiency. …”
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Fast and Cost-Effective Quantitative Assessment of the Chemical and Mineral Composition of Heavy Mineral Sands Ores: Application of the New SOLSA Combined XRF-XRD Analytical Soluti... by Maud Herbelin, Sylvain Delchini, Henry Pillière, Luca Lutterotti, Marion Nicco, Moctar Dia, Monique Le Guen, Thomas Riegler

“…Their main drawback is the time and cost associated with sample preparation, acquisition time, and data QA/QC. The combined XRF-XRD of the SOLSA (Sonic On-Line drilling and Sampling Analysis) analytical solution brings a new methodology able to produce quantitative mineralogical and geochemical data at a speed compatible with a production environment. …”
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Economic Peaks and Value-at-Risk Analysis: A Novel Approach Using the Laplace Distribution for House Prices by Jondeep Das, Partha Jyoti Hazarika, Morad Alizadeh, Javier E. Contreras-Reyes, Hebatallah H. Mohammad, Haitham M. Yousof

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Methodological aspects of space monitoring of subsoil use common minerals in the Stavropol region by Andrey Vladimirovich Skripchinsky, Olga Sergeevna Anikeeva, Alexandr Nikolaevich Roman

“…The authors have justified the application of the remote probing in the quarries studying. …”
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First study of the RuPatient health information system with optical character recognition of medical records based on machine learning by A. A. Komkov, V. P. Mazaev, S. V. Ryazanova, D. N. Samochatov, E. V. Koshkina, E. V. Bushueva, O. M. Drapkina

“…The developed RuPatient HIS, which includes a module for recognizing medical records and entering data into the corresponding fields, significantly increases the document management efficiency with high quality of optical character recognition based on neural network technologies and the automation of filling process.…”
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Strategies for Enhancing Security Resilience of New Power Systems Enabled by Digital Technology by Xiaohong Chen, Gaonan Zhang, Cheng Zhang, Jiaolong Chen, Jian Guan, Zehong Liu, Zhaocheng Liu

“…This study expounds on the enabling effect of the digital technology on the improvement in security resilience of new power systems, summarizes the major problems existing in the enabling process, and further proposes a key technology system for improving the security resilience of new power systems through the digital technology, involving multimodal data fusion technology based on artificial intelligence, intelligent situation awareness and early-warning technology based on cloud-edge collaboration, multi-energy collaborative optimization and control technology based on big data analysis, and post-disaster emergency decision-making technology based on digital twins. …”
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Dynamic modeling in the functioning of security systems in the field of information security by A. M. Konakov, A. G. Pevneva

“…The field of information security considered in the article is a necessary component of ensuring the protection of information resources and related systems from various threats. The application of the basics of dynamic modeling of data, processes and structures in terms of time, allows you to assess risks and threats, identify certain significant shortcomings and eliminate them, thereby optimizing costs, increasing the efficiency of ensuring security…”
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Machine Learning in the National Economy by Azamjon A. Usmonov

“…This article examines the application of machine learning in the national economy. …”
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Factors influencing work performance and prospective mobile health applications among village health support groups: a formative study for i-MoMCARE development to enhance maternal... by Hendra Goh, Chhavarath Dary, Mengieng Ung, Sreymom Oy, Yan Fang Lee, Sovatha Mam, Sophea Chhorn, Chanthou Ny, Sveng Chea Ath Chhay, Chhorlika Khim, Dyna Khuon, Michiko Nagashima-Hayashi, Sovanthida Suy, Rattana Kim, Siyan Yi, Vonthanak Saphonn

“…Data were analyzed according to reflexive thematic approach. …”
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Harnessing Remote Sensing Technologies for Successful Large-Scale Projects by Josip Lisjak, Matej Petrinović, Stjepan Keleminec

“…It examines the benefits of technology integration, the challenges of data interpretation, and the opportunities for improving project efficiency and sustainability. …”
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Sentiment Analysis of Rohingya Refugees in Aceh using Support Vector Machine (SVM) and Multinomial Logistic Regression by Gigih Army Buana Baliputra, Slamet Kacung, Budi Santoso

“…The analysis results show that 2112 data were classified as negative sentiments, 1400 as neutral sentiments, and 171 as positive sentiments. …”
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