Impact of land use/land cover changes on evapotranspiration and model accuracy using Google Earth engine and classification and regression tree modeling by Chaitanya B. Pande, Pranaya Diwate, Israel R. Orimoloye, Lariyah Mohd Sidek, Arun Pratap Mishra, Kanak N. Moharir, Subodh Chandra Pal, Fahad Alshehri, Abebe Debele Tolche

“…As an discoverer researcher that found detailed information of LULC classes during last 2018 to 2022 winter seasons, the use of the CART model in combination with a cloud-computing GEE demonstrates to be a practical approach for accurate land cover classification and change detection maps to create a pixel-based winter seasons information of study area. …”
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U-Surf: a global 1 km spatially continuous urban surface property dataset for kilometer-scale urban-resolving Earth system modeling by Y. Cheng, L. Zhao, L. Zhao, L. Zhao, T. Chakraborty, K. Oleson, M. Demuzere, X. Liu, Y. Che, W. Liao, Y. Zhou, X. “. Li

“…Using the urban canopy model (UCM) in the Community Earth System Model as a base model for satisfying dataset requirements, U-Surf leverages the latest advances in remote sensing, machine learning, and cloud computing to provide the most relevant urban surface biophysical parameters, including radiative, morphological, and thermal properties, for UCMs at the facet and canopy level. …”
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Crop2Cloud platform: Real-time data integration for agricultural water monitoring by Bryan Nsoh, Abia Katimbo, Kendall C. DeJonge, Weizhen Liang, Hongzhi Guo, Yufeng Ge, Derek M. Heeren, Yeyin Shi, Xin Qiao, Daran R. Rudnick, Hope Njuki Nakabuye, Birru Girma, Isa Kabenge, Joshua Wanyama

“…This study designed the Crop2Cloud (C2C) platform, a system that leverages advanced sensors using Internet of Things (IoT), edge and cloud computing techniques, and computed Water Stress Indices (WSIs) and machine learning models (i.e., fuzzy logic), to provide scalable and real-time irrigation decisions. …”
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A secure end-to-end communication framework for cooperative IoT networks using hybrid blockchain system by Suresh Babu Erukala, Dimitar Tokmakov, Anoosha Perumalla, Rajesh Kaluri, Anna Bekyarova-Tokmakova, Nevena Mileva, Slavi Lubomirov

“…These technologies enhance the convergence of Information Technology (IT), Operational Technology (OT), Core Technology (CT), and Data Technology (DT) networks, improving automation and decision-making capabilities. While cloud computing has become a mainstream technology across multiple domains, it struggles to efficiently manage the massive volume of OT data generated by IoT devices due to high latency, data transfer costs, limited resilience, and insufficient context awareness. …”
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Research and application practice of digital intelligent technology and complete set of equipment for efficient coalmining by Guofa WANG, Jinhu ZHANG, Huaiwei REN, Yibo DU, Desheng ZHANG, Ruyu YAN, Xiang YU

“…Addressing challenges such as comprehensive perception of the state of high-strength mining surrounding rock and equipment under different coal seam conditions and integrated coordinated advancement and linked control of equipment groups, the paper explores the deep integration of advanced information technologies such as the Internet of Things, cloud computing, big data analytics, and high-precision inertial navigation with coal mining technologies. …”
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Long-term Land Cover Dataset of the Mongolian Plateau Based on Multi-source Data and Rich Sample Annotations by Juanle Wang, Kai Li, Tengfei Han, Yifei Sun, Mengmeng Hong, Yating Shao, Zhichen Sun, Meng Liu, Fengjiao Li, Yuhui Su, Qilin Jia, Yaping Liu, Jiazhuo Liu, Jiawei Jiang, Altansukh Ochir, Davaadorj Davaasuren, Mengqiong Xu, Yamin Sun, Shaopu Huang, Weihao Zou, Feiran Sun

“…Using machine learning and cloud computing, the novel dataset spanning the period of 1990–2020. …”
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An annual 30 m cultivated-pasture dataset of the Tibetan Plateau from 1988 to 2021 by B. Han, J. Bi, S. Tao, T. Yang, Y. Tang, M. Ge, H. Wang, Z. Jin, J. Dong, Z. Nan, J.-S. He, J.-S. He

“…Here, we mapped the cultivated pastures on the Tibetan Plateau at a 30 m resolution for the years 1988 to 2021 using Landsat data from the Google Earth Engine (GEE) cloud computing platform. We built a random forest (RF) binary classification model with inputs of the spectral–temporal metrics of Landsat data acquired in the growing season, as well as ancillary topographic data. …”
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Enhancing Network Slicing Architectures With Machine Learning, Security, Sustainability and Experimental Networks Integration by Joberto S. B. Martins, Tereza C. Carvalho, Rodrigo Moreira, Cristiano Bonato Both, Adnei Donatti, Joao H. Correa, Jose A. Suruagy, Sand L. Correa, Antonio J. G. Abelem, Moises R. N. Ribeiro, Jose-Marcos S. Nogueira, Luiz C. S. Magalhaes, Juliano Wickboldt, Tiago C. Ferreto, Ricardo Mello, Rafael Pasquini, Marcos Schwarz, Leobino N. Sampaio, Daniel F. Macedo, Jose F. De Rezende, Kleber V. Cardoso, Flavio De Oliveira Silva

“…Network Slicing (NS) is an essential technique extensively used in 5G networks computing strategies, mobile edge computing, mobile cloud computing, and verticals like the Internet of Vehicles and industrial IoT, among others. …”
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Research status and progress on key technologies of intelligent orchard by CUI Hongwei, LU Xiaoxuan, YANG Yaqing, LU Xinyi, MA Hao, JI Jiangtao, JIN Xin, LI Xiuzhen, ZHAO Zimeng, ZENG Ningning

“…The fully intelligent management system will optimize the production process, reduce operating costs, improve the overall production efficiency and fruit quality of the orchard through technologies such as big data analysis and cloud computing, in order to provide reference and guidance for the development of key technologies in standardized orchards. …”
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Designing a model of the role of social media in crisis management and digital supply chain resilience by Farhad Jahangiri, Abolfazl Danaei, Mahsa Akbari, Younos Vakil Alroaia

“…New technologies such as big data, cloud computing, and the Internet of Things can help solve these problems. …”
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Large Language Models for Machine-Readable Citation Data: Towards an Automated Metadata Curation Pipeline for Scholarly Journals by Aerith Y. Netzer

“…Further, we prove that these models can be run locally, without cloud compute cost. With these tools, university-owned publishing operations can increase their operating efficiency which, when combined with human review, has no effect on quality.…”
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Secure deduplication and integrity audit system based on convergent encryption for cloud storage by Xiao-yong GUO, An-min FU, Bo-yu KUANG, Wei-jia DING

“…Cloud storage applications quickly become the best choice of the personal user and enterprise storage with its convenience,scalability and other advantages,secure deduplication and integrity auditing are key issues for cloud storage.At first,convergent key encapsulation/decoupling algorithm based on blind signature was set up,which could securely store key and enable it to deduplicate.Besides,a BLS signature algorithm based on convergence key was provided and use TTP to store public key and proxy audit which enables signature and pubic key deduplication and reduces client storage and computing overhead.Finally,cloud-based secure deduplicaion and integrity audit system was designed and implemented.It offered user with data privacy protection,deduplication authentication,audit authentication services and lowered client and cloud computation overhead.…”
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A Systematic Review of Blockchain Technology Assisted with Artificial Intelligence Technology for Networks and Communication Systems by Kamal Kumar, Vinod Kumar, null Seema, Mukesh Kumar Sharma, Akber Ali Khan, M. Javed Idrisi

“…Blockchain is a very secure, authentic, and distributed technology and is very prominent in areas such as edge computation, cloud computation, and Internet-of-things. Artificial intelligence assists in the completion of activities efficiently and effectively by providing intelligence, analytics, and predicting capabilities. …”
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Performance Variability in Public Clouds: An Empirical Assessment by Sanjay Ahuja, Victor H. Lopez Chalacan, Hugo Resendez

“…Cloud computing is now established as a viable alternative to on-premise infrastructure from both a system administration and cost perspective. …”
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THE E-HEALTH SYSTEMS IN POLAND by Zdzisław PÓLKOWSKI, Małgorzata WALCZAK

“…Moreover this section highlights the latest trends in e-health with particular emphasis on aspects such as the use of private and public cloud computer and t heir integration with web sites of health institutions. …”
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QuantumGS-Box—A Key-Dependent GA and QRNG-Based S-Box for High-Speed Cloud-Based Storage Encryption by Anish Saini, Athanasios Tsokanos, Raimund Kirner

“…Cloud computing has revolutionized the digital era by providing a more efficient, scalable, and cost-effective infrastructure. …”
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Numerical modeling and neural network optimization for advanced solar panel efficiency by Udit Mamodiya, Indra Kishor, Mohammed Amin Almaiah, Monia Hamdi, Rami Shehab, Tayseer Alkhdour

“…Moreover, an Edge AI architecture is introduced to make low-latency decisions with reduced dependency on cloud computation, thus improving the efficiency of the system. …”
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Temporal generalization in evergreen leaf type classification using tailored Sentinel-2 composites by Peter Hofinger, Jan Dempewolf, Simon Ecke, Hans-Joachim Klemmt

“…This data-driven approach provides a scalable solution with temporal generalization, leveraging freely available satellite imagery and cloud-compute, aiding more effective forest management and environmental monitoring.…”
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