IoT‐Based Elderly Health Monitoring System Using Firebase Cloud Computing by Adhan Efendi, Muhammad Imam Ammarullah, Indra Griha Tofik Isa, Meli Puspita Sari, Jasmine Nurul Izza, Yohanes Sinung Nugroho, Hamid Nasrullah, Denny Alfian

“…The system features a robust Android‐based user interface integrated with the Firebase cloud platform, ensuring real‐time data collection and analysis. …”
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Application of deep learning in cloud cover prediction using geostationary satellite images by Yeonjin Lee, Seyun Min, Jihyun Yoon, Jongsung Ha, Seungtaek Jeong, Seonghyun Ryu, Myoung-Hwan Ahn

“…Traditional methods for cloud cover prediction encounter significant limitations in capturing complete spatial and temporal cloud dynamics. …”
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FY-4A/AGRI Cloud Detection Method Based on Naive Bayesian Algorithm by Guo Xuexing, Qu Jianhua, Ye Lingmeng, Han Min, Shi Mojie

“…The recognition effects of the method are good during both day and night, ensuring not only the accuracy of day and night cloud detection, but also the continuity of cloud detection in the morning and evening transition zone. …”
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Plant functional traits related to aboveground tree biomass in cloud forests of southeastern Mexico by Noé Velázquez-Rosas, Elizabeth Fuentes Romero, Betsabé Ruiz-Guerra, Hugo López Rosas, Norma Eugenia García Calderón

“…Understanding the causal factors determining the structural variation and functioning of cloud forests continues to be one of the most relevant research challenges in these forests. …”
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A Systematic Literature Review on Risk Assessment in Cloud Computing: Recent Research Advancements by Saadia Drissi, Meriyem Chergui, Zakaria Khatar

“…Risk assessment (RA) is essential for identifying, analyzing, and evaluating potential risks that could negatively impact cloud resources, yet developing a tailored approach continues to be challenging, because of the complex nature of cloud. …”
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Implementation and Performance Analysis of an Industrial Robot’s Vision System Based on Cloud Vision Services by Ioana-Livia Stefan, Andrei Mateescu, Ionut Lentoiu, Silviu Raileanu, Florin Daniel Anton, Dragos Constantin Popescu, Ioan Stefan Sacala

“…We compare the results of our suggested method with those from an industrial machine vision software, indicating promising performance and opening additional application perspectives in the robotics field, simultaneously with the continuous improvement of Cloud and AI technology.…”
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Advancing Data Privacy in Cloud Storage: A Novel Multi-Layer Encoding Framework by Kamta Nath Mishra, Rajesh Kumar Lal, Paras Nath Barwal, Alok Mishra

“…Continuous research efforts are required to validate the effectiveness of the proposed framework across diverse contexts and assess its performance against evolving privacy vulnerabilities in cloud computing.…”
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Exploring the Wolf Approach to Constraining NIR Extinction Laws in the Corona Australis Molecular Cloud by Botao Jiang, Jun Li, Xi Chen

“…The viability of the star count (Wolf) method is assessed as a means of constraining the near-infrared (NIR) extinction law toward the Corona Australis molecular cloud. Using deep JHK _S photometry from the VISIONS survey, extinction maps with 1′ spatial resolution are constructed. …”
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Comparative evaluation of encoding techniques for workflow process remaining time prediction for cloud applications by Cong Liu, Wenjuan Liu, Na Guo, Rongjia Song, Yan Gu, Long Cheng, Qingtian Zeng

“…Abstract With the increasing adoption of cloud infrastructure for workflow process deployment, the workflow process remaining time prediction has received more attention due to its significance in improving response time and optimizing resource allocation. …”
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Dynamic Large-Scale Server Scheduling for IVF Queuing Network in Cloud Healthcare System by Yafei Li, Hongfeng Wang, Li Li, Yaping Fu

“…To deal with the insufficiency of IVF service capacity, this paper studies an IVF queuing network in an integrated cloud healthcare system, where the two key medical services, that is, egg retrieval and transplantation, are assigned to accomplish in the general hospital, while the routine medical tests are assigned into the community hospital. …”
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Assessing the Relevance of Cloud Computing for Micro, Small and Medium Enterprises in the Northern Region of India by Devesh Kumar, Harsh Vardhan Samalia, Piyush Verma

“…Perceived benefits, perceived ease of use, cost advantage, simplicity, affordability, scalability, rapid implementation and improved business continuity were the major benefits revealed in this study whereas, security, privacy, reliability and vendor lock-in concern emerged as the main challenges in using cloud computing by the MSMEs. …”
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Automated detection and structuration of building and vegetation changes from LiDAR point clouds by A. Kharroubi, Z. Ballouch, Z. Ballouch, I. Jeddoub, R. Hajji, R. Billen

“…Urban environments are continuously changing, driven by factors such as population growth and infrastructure expansion, which necessitates regular updates to urban models. …”
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A web-based tool for rapid and accurate craniometric differentiation of clouded leopard species by Chrishen R. Gomez, Andrew C. Kitchener, Andrew J. Hearn, Ibnu Maryanto, Paul J. Johnson, David W. Macdonald, Nobuyuki Yamaguchi

“…We developed a web-based classifier trained on clouded leopard (Neofelis spp.) skulls from museum collections across Europe, Asia and the U.S.A., a genus often targeted in wildlife trade. …”
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Deep Learning-Based Cloud Detection for Optical Remote Sensing Images: A Survey by Zhengxin Wang, Longlong Zhao, Jintao Meng, Yu Han, Xiaoli Li, Ruixia Jiang, Jinsong Chen, Hongzhong Li

“…In the past decade, with the continuous progress of artificial intelligence, algorithms based on deep learning have become one of the main methods for cloud detection. …”
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Limitations of Separate Cloud and Rain Categories in Parameterizing Collision‐Coalescence for Bulk Microphysics Schemes by A. L. Igel, H. Morrison, S. P. Santos, M. vanLier‐Walqui

“…We find that an important limitation in traditional bulk schemes is the use of separate cloud and rain categories. When the drop size distribution is instead represented by a continuous distribution, the simulation of cloud‐to‐rain conversion is substantially improved. …”
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Cloud-Edge Collaborative Defect Detection Based on Efficient Yolo Networks and Incremental Learning by Zhenwu Lei, Yue Zhang, Jing Wang, Meng Zhou

“…Through the incorporation of these modules, the model notably enhances feature extraction and computational efficiency while reducing the model size and computational load, making it more conducive for deployment on edge devices. Furthermore, a cloud-edge collaborative defect detection system is constructed to improve detection accuracy and efficiency through initial detection by edge devices, followed by additional inspection by cloud servers. …”
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Cloud point prediction model for polyvinyl alcohol production plants considering process dynamics by Ayami Ohkuma, Yoshihito Yamauchi, Nobuhito Yamada, Satoshi Ooyama, Hiromasa Kaneko

“…In this study, a soft sensor that continuously predicts the cloud point from process variables that can be measured in real time was constructed using machine learning. …”
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Bubble cloud-mediated cavitation for tumor mechanical ablation and effector immune cell deployment by Jing Cao, Ling Wang, Jiarui Li, Mengyu Song, Yinuo Zheng, Xiangling He, Xiaoying Li, Songcheng Xu, Litao Sun

“…Results indicated distinct cavitation patterns: (1) Nanodroplets slowly vaporized and formed continuously vibrating bubble clouds; (2) Nanodroplets rapidly vaporized and resulted in quickly collapsing bubble clouds. …”
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Impact of Cloud Microphysics Initialization Using Satellite and Radar Data on CMA-MESO Forecasts by Lijuan Zhu, Yuan Jiang, Jiandong Gong, Dan Wang

“…An analysis of the catastrophic rainfall event in Henan on 20 July 2021, and a 92-day continuous experiment (May–July 2024) revealed that assimilating cloud microphysical variables significantly improved precipitation forecasting: the equitable threat scores (ETSs) for 1 h forecasts of light, moderate, and heavy rain increased from 0.083, 0.043, and 0.007 to 0.41, 0.36, and 0.217, respectively, with average hourly ETS improvements of 21–71% for 2–6 h forecasts and increases in ETSs for light, moderate, and heavy rain of 7.5%, 9.8%, and 24.9% at 7–12 h, with limited improvement beyond 12 h. …”
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Science mapping analysis of challenges surrounding cloud universities and their impact on the resilience of higher education by Svitlana Tarasenko, Anna Vorontsova, Verena Régent, John Soss, Rymma Mylenkova

“…In the context of digital transformation, the education sector needs innovative solutions to ensure continuity and quality of the learning process amidst contemporary challenges. …”
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