A smart secure virtual reality immersive application for alzheimer’s and dementia patients by Murad Al-Rajab, Joan Lu, Saad Amawi, Nourhan Elmehalawy, Bdour Babillie, Yazan Alasmi, Hanan Sheikh Ibrahim, Samer Ellahham, Ahlam Sawsaa, Shadi Al Zraiqat

“…The security measures include access controls, encryption and continuous monitoring of cloud patient data. The initial study has been promising evidenced by the outcome of involving patients with Alzheimer’s and dementia, their families, and clinicians. …”
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Exploring Socioeconomic Challenges Using Latent Dirichlet Allocation and Text Mining: Convergence Points Between World Bank and The International Monetary Fund Reports by Yasmine Derradj, Rachid Toumache

“…By employing R software, structured data were extracted from unstructured textual content, utilizing Word Cloud visualization, "beta" frequencies for topic construction, and "gamma" proportions for topic relevance. …”
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Integrating QR Technology into Enterprise Systems: Accounting and Managerial Innovations in E-Document Flow

“…Two formats for implementing electronic document flow using QR codes have been distinguished: static (linking to a specific file) and dynamic (access to editable information through cloud services). Priority is given to the dynamic format due to its flexibility and integration capabilities in the accounting and analytical support of enterprise management. …”
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The Proposal and Validation of a Distributed Real-Time Data Management Framework Based on Edge Computing with OPC Unified Architecture and Kafka by Daixing Lu, Kun Wang, Yubo Wang, Ye Shen

“…This research provides a practical solution for the industrial data management system, not only helping enterprises improve the transparency level of manufacturing sites and the efficiency of resource scheduling but also providing a practical basis for further research on industrial data processing under the “edge-cloud collaboration” architecture in the academic community.…”
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Evolution of Supernova Remnants in a Cloudy Multiphase Interstellar Medium by Minghao Guo, Chang-Goo Kim, James M. Stone

“…However, the SNR in a cloudy medium continuously loses energy after shocks toward the cold clouds cool, resulting in less hot gas mass, thermal energy, and terminal momentum. …”
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Efficient Task Scheduling and Load Balancing in Fog Computing for Crucial Healthcare Through Deep Reinforcement Learning by Prashanth Choppara, Bommareddy Lokesh

“…The paper addresses the limitations of cloud computing systems. It proposes and replaces a fog computing architecture in supporting low latency for healthcare applications. …”
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Machine Learning-enhanced loT and Wireless Sensor Networks for predictive analysis and maintenance in wind turbine systems by Lei Gong, Yanhui Chen

“…Wind power (WP) represents a Renewable Energy Source (RES) that has noticed substantial development as people continuously search for green energy sources. Utilizing predominantly Predictive Maintenance (PM) of Wind Turbines (WT), this research analyzes the potential benefits that could be generated by Wind Energy (WE) through the use of the Internet of Things (IoT) and Wireless Sensor Networks (WSN). …”
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The Development and Construction of City Information Modeling (CIM): A Survey from Data Perspective by Wenya Yu, Xiaowei Zhou, Dongsheng Wang, Junyu Dong

“…Furthermore, it explores the application of CIM in key areas such as smart transportation and digital twin cities, emphasizing its deep integration with big data, artificial intelligence (AI), and cloud computing to enhance urban governance and intelligent services. …”
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Application of geodetic and mine surveying technologies in monitoring deformations of man-made structures by Yu.O. Zabolotna, Ye.A. Koroviaka, O.A. Pashchenko, V.O. Rastsvietaiev

“…Modern geodetic and mine surveying technologies provide a robust basis for the continuous and precise observation of such processes in real-time. …”
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Practice and discussion on maintenance of seawater pump at LNG terminal by Zhengyin WANG, Hongqiang LIU, Junxiao WANG

“…Incorporating intelligent technologies such as sensors, data analysis, and cloud computing via the Internet of Things (IoT) into overhaul and maintenance procedures can enable realtime monitoring and alerts. …”
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Quality Assessment of Operational Fengyun-4B/GIIRS Atmospheric Temperature and Humidity Profile Products by Zhi Zhu, Junxia Gu, Fang Yuan, Chunxiang Shi

“…As China’s second operational Geostationary Interferometric Infrared Sounder, Fengyun-4B/GIIRS can provide temporally and spatially continuous atmospheric temperature profile (ATP) and atmospheric humidity profile (AHP) information, which can be used in cold wave monitoring and other meteorological applications. …”
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A Blockchain-Based Secure Data Transaction and Privacy Preservation Scheme in IoT System by Jing Wu, Zeteng Bian, Hongmin Gao, Yuzhe Wang

“…First, the framework builds a multi-layer security architecture that integrates blockchain and IPFS and adapts to the “end–edge–cloud” collaborative characteristics of IoT. Secondly, a data sharing mechanism that takes into account both access control and interest balance is designed. …”
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A multi-user multi-operator computing pricing method for Internet of things based on bi-level optimization by Wei Jiang, Huiqiang Wang, Bingyang Li, Haibin Lv, Qingchuan Meng

“…Therefore, the concept of edge cloud computing has been proposed, which enhances the computing capacity of Internet of things terminals by offloading user tasks to edge servers for computation. …”
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Multi-Temporal Assessment of Soil Erosion After a Wildfire in Tuscany (Central Italy) Using Google Earth Engine by Francesco Barbadori, Pierluigi Confuorto, Bhushan Chouksey, Sandro Moretti, Federico Raspini

“…All the analyses were carried out using the Google Earth Engine (GEE) platform with free-access geospatial data and satellite images in order to exploit the cloud computing potentialities. The results indicate a differentiated impact of the fire across the study area, whereby the central parts suffered the highest damages, both in terms of fire-related RUSLE factors and soil loss rates. …”
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Greenland Ice Sheet surface roughness from Ku- and Ka-band radar altimetry surface echo strengths by K. M. Scanlan, A. Rutishauser, S. B. Simonsen

“…Surface roughness derived from the radar surface echo powers is best interpreted not as the wavelength-scale RMS deviation representative of individual features but as the continued projection of scale-dependent roughness behaviour observed at baselines hundreds of metres long down to the radar wavelength. …”
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Lessons from national biobank projects utilizing whole-genome sequencing for population-scale genomics by Hyeji Lee, Wooheon Kim, Nahyeon Kwon, Chanhee Kim, Sungmin Kim, Joon-Yong An

“…This comprehensive examination demonstrates how large-scale national genome projects are revolutionizing genetic research and healthcare delivery while highlighting the importance of continued investment in diverse, population-specific genomic resources.…”
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A machine learning approach to assess the climate change impacts on single and dual-axis tracking photovoltaic systems by Udit Mamodiya, Indra Kishor, Priyam Ganguly, Isha Mukherjee, Nithesh Naik

“…The integration of hybrid artificial intelligence models allows COMLAT to continuously update its tracking angles in real time and is a scalable and industrially viable solution for smart grids, solar farms, and hybrid renewable energy systems. …”
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Natural science education in the university core curriculum by D. N. Kyrov, N. V. Nesterova, O. A. Prituzhalova, L. D. Cheremnykh

“…As an important learning outcome, it is possible to record an increase in the digital competencies of students and teachers in terms of using jointly edited cloud files, resources for online discussions and testing, as well as the inclusion of students in joint interdisciplinary projects and the development of communication practices. …”
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ENERGY-EFFICIENT SMART MEDICAL BRACELET FOR ALZHEIMER’S PATIENT MONITORING BASED WIRELESS COMMUNICATION SYSTEM by Shahad Qassim Hadi, Mushtaq Ahmed Ali

“…Power efficiency is a critical consideration in the design of wearable IoT devices, particularly in applications requiring continuous monitoring, such as systems for Alzheimer's patient care. …”
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Advancements in artificial intelligence and machine learning for poultry farming: Applications, challenges, and future prospects by Muhammad Halim Natsir, Wayan Firdaus Mahmudy, Mochamad Tono, Yuli Frita Nuningtyas

“…Edge-AI solutions further reduce latency and dependence on cloud computing, making on-site monitoring feasible in low-connectivity environments. …”
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