Entrepreneurial strategies for sustainable growth: a deep dive into cloud-native technology and its applications by T. A. Alka, Aswathy Sreenivasan, M. Suresh

“…The findings of the study highlight the need for entrepreneurs to utilize emerging technologies to meet competition, and there is a requirement for continuous investment in data analytics, automation, cloud solutions, and emerging technologies. …”
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V-STAR: A Cloud-Based Tool for Satellite Detection and Mapping of Volcanic Thermal Anomalies by Simona Cariello, Arianna Beatrice Malaguti, Claudia Corradino, Ciro Del Negro

“…Observing volcanoes from a satellite perspective provides key advantages, enabling continuous data acquisition and near-real-time assessment of volcanic activity. …”
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MICROSERVICE ARCHITECTURE FOR BUILDING HIGH-AVAILABILITY DISTRIBUTED AUTOMATED COMPUTING SYSTEM IN A CLOUD INFRASTRUCTURE by Denis Zolotariov

“…The article is devoted to the research and development of a highly available distributed automated computing system by iterative algorithms based on the microservice architecture in a cloud infrastructure. The subject of the research is the practical foundations of building high-availability automated computing systems based on microservice architecture in a cloud-based distributed infrastructure. …”
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A multi-objective approach to load balancing in cloud environments integrating ACO and WWO techniques by Umesh Kumar Lilhore, Sarita Simaiya, Yogendra Narayan Prajapati, Anjani Kumar Rai, Ehab Seif Ghith, Mehdi Tlija, Tarik Lamoudan, Abdelaziz A. Abdelhamid

“…Abstract Effective load balancing and resource allocation are essential in dynamic cloud computing environments, where the demand for rapidity and continuous service is perpetually increasing. …”
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Railway reconstruction from 3D point cloud using Deep Learning and Parametric Modeling by A. Yarroudh, A. Kharroubi, I. Jeddoub, Z. Ballouch, R. Billen

“…Traditional methods reliant on manual surveys are time-consuming and prone to inaccuracies. Although 3D point cloud data provides detailed representations of railway environments, its unstructured nature complicates processing and modeling. …”
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A Preliminary Assessment of the VIIRS Cloud Top and Base Height Environmental Data Record Reprocessing by Qian Liu, Xianjun Hao, Cheng-Zhi Zou, Likun Wang, John J. Qu, Banghua Yan

“…This study conducts the first simultaneous quality and accuracy assessment of reprocessed Cloud Top Height (CTH) and Cloud Base Height (CBH) products against both the operational VIIRS EDRs and corresponding cloud height measurements from the active sensors of NASA’s CloudSat-CALIPSO system. …”
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Comprehensive Evaluation of Operation Safety of Earth-rock Dams Based on Weight Optimization-cloud Model by ZHANG Jianwei, WU Weitao, HOU Ge, HUANG Jinlin, WANG Bingpeng, LIU Hongze, HU Zixu

“…Since the error did not change significantly when the number of cloud drops continued to increase, 5 000 was taken as the optimal number of cloud drops to balance computational efficiency and accuracy.Results and DiscussionsThe established evaluation model was applied to the earth and rock dam of the Helong Reservoir in Guangdong Province. …”
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Three-Dimensional Point Cloud Displacement Analysis for Tunnel Deformation Detection Using Mobile Laser Scanning by Mahamadou Camara, Liying Wang, Ze You

“…Shield tunnels are increasingly monitored using 3D laser scanning technology to generate high-resolution point cloud data, which serve as a critical foundation for precise deformation analysis. …”
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Design and Evaluation of a Cloud Computing System for Real-Time Measurements in Polarization-Independent Long-Range DAS Based on Coherent Detection by Abdusomad Nur, Almaz Demise, Yonas Muanenda

“…CloudSim is a versatile simulation framework for modeling cloud infrastructure components that supports customizable and extensible application provisioning strategies, allowing for the simulation of cloud services. …”
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Enhanced security for IoT cloud environments using EfficientNet and enhanced football team training algorithm by Jian Cui, Lan Shi, Ahmed Alkhayyat

“…Abstract The growing implementation of Internet of Things (IoT) technology has resulted in a significant increase in the number of connected devices, thereby exposing IoT-cloud environments to a range of cyber threats. As the number of IoT devices continues to grow, the potential attack surface also enlarges, complicating the task of securing these systems. …”
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Enhanced novelty approaches for resource allocation model for multi-cloud environment in vehicular Ad-Hoc networks by R. Augustian Isaac, P. Sundaravadivel, V. S. Nici Marx, G. Priyanga

“…Abstract As the number of service requests for applications continues increasing due to various conditions, the limitations on the number of resources provide a barrier in providing the applications with the appropriate Quality of Service (QoS) assurances. …”
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A new temporal locality-based workload prediction approach for SaaS services in a cloud environment by Wiem Matoussi, Tarek Hamrouni

“…Indeed, cloud providers must provide an optimal quality of service (QoS) for their users in order to survive in such a competitive cloud market. …”
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Continuous patient monitoring with AI: real-time analysis of video in hospital care settings by Paolo Gabriel, Peter Rehani, Tyler Troy, Tiffany Wyatt, Michael Choma, Narinder Singh

“…IntroductionThis study introduces an AI-driven platform for continuous and passive patient monitoring in hospital settings, developed by LookDeep Health. …”
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Research on Key Technology of Cloud-edge Coordinated Digital Twin Manufacturing Platform Towards Customized Production by HU Tianliang, ZHOU Shuaichang, MENG Qi, DONG Lili, ZHOU Tingting, LIU Xiaojun

“…The diversity of equipment and processes, coupled with fluctuating demand, continually alters the allocation of production resources. …”
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Temporal and Spatial Analysis of Coastal Landscape Patterns Using the GEE Cloud Platform and Landsat Time Series by Chao Chen, Jintao Liang, Taohua Ren, Yi Wang, Zhisong Liu

“…The coastal zone is characterized by severe cloud cover, frequent changes in land type, and fragmented landscape, so it is challenging to carry out the accurate landscape patterns analysis. …”
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PyWindAM: A Python software for wind field analysis and cloud-based data management by Nanxi Chen, Rujin Ma, Baixue Ge, Haocheng Chang

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Cloud-Based Internet-of-Things System for Long-Term Bridge Bearing Monitoring Using Computer Vision by Gunhee Kim, Junsik Shin, Jongbin Won, Jongwoong Park

“…However, bearing failures caused by external factors can compromise structural safety. Therefore, continuous monitoring of bearing displacement is essential, yet current inspection methods are labor-intensive and unsuitable for long-term management. …”
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Secured cloud-based image data processing of self-driving vehicles using full homomorphic encryption by Kamran Saeed, M.Fatih Adak

“…Self-driving vehicles leverage internet of things (IoT) technology to utilize multiple sensors to continuously monitor their environment and make decisions without human intervention. …”
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Expansion and Renovation Plan for Urban Rail Transit Video Surveillance System Based on Cloud Storage Technology by LIU Dongwen, NIU Shengqi

“…[Objective] In response to issues in existing urban rail transit video surveillance systems—such as insufficient continuity assurance for video recording, data security risks, limited storage capacity scalability, and complex resource management—it is urgently necessary to implement a cloud storage-centered expansion and renovation plan. …”
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Shifts in diurnal cycles of low and high clouds warm the climate: evidence from decadal satellite observations by Tingting Chen, Jinming Ge, Chi Zhang, Yanyan Wu, Qingyu Mu, Xinyi Han, Jing Su, Xiaoyu Hu, Zeen Zhu

“…Anticipated changes in the diurnal cloud cycle (DCC) under global warming carry significant implications for future climate predictions. …”
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