A study on the carbon emission reduction pathways of China’s digital economy from multiple perspectives by Xiaoyan Shi, Zhenhua Zhu, Jiaxin Wu, Zhijiang Li

“…As the share of the digital economy’s output continues to rise each year, the emergence of new industries such as e-commerce, mobile payments, and cloud computing has opened new avenues for carbon emission reduction (CER). …”
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Intelligent information systems for power grid fault analysis by computer communication technology by Ronglong Xu, Jing Zhang

“…The system incorporates a novel fault diagnosis model, combining advanced communication technologies such as distributed computing, real-time data transmission, cloud computing, and big data analytics, to establish a multi-layered information processing architecture for grid fault analysis. …”
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Cost Analysis of Running Web Application in Cloud Monolith, Microservice and Serverless Architecture by Muhammad Uzair Nadeem, Syed Muhammad Khaliq-ur-Rahman Raazi, Bilal Mehboob, Syed Mubashir Ali, Saqlain Raza

“…Cloud computing has become a popular choice for deploying web applications, but the selection of the appropriate architecture for different application types remains a challenge for businesses. …”
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A P2P Framework for Developing Bioinformatics Applications in Dynamic Cloud Environments by Chun-Hung Richard Lin, Chun-Hao Wen, Ying-Chih Lin, Kuang-Yuan Tung, Rung-Wei Lin, Chun-Yuan Lin

“…Bioinformatics is advanced from in-house computing infrastructure to cloud computing for tackling the vast quantity of biological data. …”
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A Cloud-Based Optimized Ensemble Model for Risk Prediction of Diabetic Progression—An Azure Machine Learning Perspective by V. K. Daliya, T. K. Ramesh

“…The experiment is performed and implemented in Microsoft’s Azure cloud, using Azure Machine Learning service, that leverages the advantages of cloud computing with respect to scalability, security and its potential integration possibilities into IoT-based smart healthcare systems.This aspect highlights its versatility and impact with respect to remote monitoring of patients as well. …”
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A Dynamic Interval Auto-Scaling Optimization Method Based on Informer Time Series Prediction by Yu Ding, Chenhao Li, Zhengong Cai, Xinghao Wang, Bowei Yang

“…With the rapid development and application of container cloud computing-related technologies, more and more applications are being deployed to container cloud clusters. …”
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Multitenancy in Single Instance of Data Persistence Service for Supporting Low-Code Platforms by Julio Gustavo Costa, Luiz Marcos Garcia Goncalves, Samuel Xavier-de-Souza

“…This approach, however, implies a mode of operation that is not the most mature among cloud computing providers, implying for each model a service instance running on the provider side. …”
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Performance Analysis of Iteratively Decoded Convergent Source Mapping with Sphere Packing-Assisted Differential Space-Time Spreading Technique for Efficient Video Transmission by Ishtiaque Ahmed, Nasru Minallah, Jaroslav Frnda, Jan Nedoma

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Automatic priority analysis of emergency response systems using internet of things (IoT) and machine learning (ML) by Abu S.M. Mohsin, Shadab H. Choudhury, Munyem Ahammad Muyeed

“…The system provides dynamic visualisation and real-time tracking of emergency scenarios through the integration of geographical information systems (GIS) and the utilisation of cloud computing resources. This framework not only improves immediate response capabilities but also aids in strategic planning by providing actionable insights into potential future events. …”
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Toward Privacy Preservation Using Clustering Based Anonymization: Recent Advances and Future Research Outlook by Abdul Majeed, Safiullah Khan, Seong Oun Hwang

“…We highlight the significance of CAMs in different computing paradigms, such as social networks, the internet of things, cloud computing, AI, and location-based systems with regard to privacy preservation. …”
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Aplicación de la Metodología OOWS y el Marco Ágil Scrum en el Diseño del “Chat Corporativo” by Miriam López Sanluis, Elizabeth Cuatecontzi Cuahutle, María Guadalupe Medina Barrera, María Janaí Sánchez Hernández, José Juan Hernández Mora

“…Como trabajo futuro, se propuso migrar el chat a una plataforma Cloud Computing para aprovechar las ventajas como la escalabilidad, alta disponibilidad y seguridad que estas tecnologías ofrecen. …”
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AI augmented edge and fog computing for Internet of Health Things (IoHT) by Deepika Rajagopal, Pradeep Kumar Thimma Subramanian

“…Patients today seek a more advanced and personalized health-care system that keeps up with the pace of modern living. Cloud computing delivers resources over the Internet and enables the deployment of an infinite number of applications to provide services to many sectors. …”
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Rapid Detection of Hybrid Maize Parental Lines Using Stacking Ensemble Machine Learning by M. Aqil, M. Azrai, M. J. Mejaya, N. A. Subekti, F. Tabri, N. N. Andayani, Rahma Wati, S. Panikkai, S. Suwardi, Z. Bunyamin, E. Roy, M. Muslimin, M. Yasin, E. Prakasa

“…Tenfold cross-validation was used to evaluate the model performance. Cloud computing was also investigated using EfficientNet to compare the predictive performance of the models. …”
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From Technical Prerequisites to Improved Care: Distributed Edge AI for Tomographic Imaging by Bilgehan Akdemir, Hafiz Faheem Shahid, Mikael A. K. Brix, Juho Laakkola, Johirul Islam, Tanesh Kumar, Jarmo Reponen, Miika T. Nieminen, Erkki Harjula

“…Consequently, despite the undisputed benefits of cloud computing, dedicated standalone local computers are still used for image reconstruction in today’s systems. …”
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Comparing Deep Learning models for mapping rice cultivation area in Bhutan using high-resolution satellite imagery by Biplov Bhandari, Timothy Mayer

“…Two Deep Learning approaches, point-based (DNN) and patch-based (U-Net), models were used in conjunction with cloud-computing platforms. Four different models per Deep Learning approaches (DNN and U-Net) were trained: (1) Red, Green, Blue, and Near-Infrared (RGBN) channels from Planet, (2) RGBN and Elevation data (RGBNE), (3) RGBN and Sentinel-1 data (RGBNS), and (4) RGBN with Elevation and Sentinel-1 data (RGBNES). …”
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Going, going, gone: Landscape drying reduces wetland function across the American West by J. Patrick Donnelly, Johnnie N. Moore, John S. Kimball, Kelsey Jencso, Mark Petrie, David E. Naugle

“…To improve our understanding of rapid ecosystem change, we reconstructed monthly wetland surface water hydrology in the western U.S. from 1984 to 2023 using cloud computing and ∼ 150,000 satellite images to measure shifts in the timing and duration of inundations. …”
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Surface water and flood-based agricultural systems: Mapping and modelling long-term variability in the Senegal river floodplain by Andrew Ogilvie, Cheickh Sadibou Fall, Ansoumana Bodian, Didier Martin, Laurent Bruckmann, Djiby Dia, Issa Leye, Papa Malick Ndiaye, Donissongou Dimitri Soro, Jean Homian Danumah, Jean-Claude Bader, Jean-Christophe Poussin

“…Validated against ground truth data, the approach is upscaled using cloud computing across this 2250 km2 floodplain over 1999–2022. …”
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Identifying and Evaluating the Components of Human Resource Competence in the Era of Digital Transformation by Mahdieh Abidi, Rashid Zolfaghari Zafarani, Masoud Haghighi

“…Digital transformation is a dramatic change in the performance of the organization and the country, centered on transformative technologies such as the Internet of Things, cloud computing, mobile applications, social media, virtual and augmented reality, data analytics, artificial intelligence, and blockchain (Westerman et al, 2014). …”
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