Toward Transparency and Consistency: An Open‐Source Optics Parameterization for Clouds and Precipitation by Jing Feng, Raymond Menzel, David Paynter

“…Abstract In this study, a new open‐source package for cloud and precipitation modeling is introduced. Based on Mie theory and existing ice crystal data sets, the scheme generates optical properties for user‐defined gas bands, particle size distribution, and crystal habits, ensuring continuity across wide spectral bands and from small particles (clouds) to large particles (precipitation). …”
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Visual Point Cloud Map Construction and Matching Localization for Autonomous Vehicle by Shuchen Xu, Kedong Zhao, Yongrong Sun, Xiyu Fu, Kang Luo

“…Simultaneously, by continuously introducing matching constraints of real-time point cloud and prior VPCM through improved iterative closest point matching method, the proposed solution can effectively suppress the drift error of the odometry and output accurate fusion localization results based on pose graph optimization theory. …”
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Ordinal METAR Cloud Cover Classification in Sentinel-2 Satellite Data by Markus Gotz, Erik Wessel, Ugur Cayoglu, Babak Jahani, Charlotte Debus, Jan Cermak, Achim Streit

“…The results imply significantly improved cloud cover assessment in regions without weather stations, extending the capabilities to monitor localized cloud patterns.…”
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SCRHM: A Secure Continuous Remote Health Monitoring System by Qiuxiang Dong, Zhi Guan, Kunlun Gao, Zhong Chen

“…With the growing need for the remote caring at home and the everincreasing popularity of mobile devices, more and more applications are being developed to enable remote health monitoring. Combining cloud computing with mobile technologies has enabled the healthcare service provider to offer continuous health data collection and physicians to conveniently monitor and assess users’ health while they are at home. …”
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Cloud software code generation via knowledge graphs and multi-modal learning by Fanlong Zhang, Huanming Chen, Quan Chen, Jianqi Liu

“…Abstract As cloud computing continues to experience rapid growth, the demand for cloud-native applications is escalating, leading to more complex and diverse development requirements. …”
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CWTHF: Identifying Dark Matter Halos with Continuous Wavelet Transform by Minxing Li, Yun Wang, Ping He

“…We calculate the CWT from the cloud-in-cell grid and segment the grid based on the local CWT maxima. …”
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Physico-chemical analysis of hydrophilic intraocular lenses explanted due to material clouding by A.D. Chuprov, V.L. Kim, S.N. Letuta, D.A. Razdobreev

“…Relevance. Clouding and discoloration of intraocular lens (IOL) seems to be a multifactorial problem, directly related to the properties of each group of materials from which they are made. …”
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Cloud-edge hybrid deep learning framework for scalable IoT resource optimization by Umesh Kumar Lilhore, Sarita Simaiya, Yogesh Kumar Sharma, Anjani Kumar Rai, S. M. Padmaja, Khan Vajid Nabilal, Vimal Kumar, Roobaea Alroobaea, Hamed Alsufyani

“…Abstract In the dynamic environment of the Internet of Things (IoT), edge and cloud computing play critical roles in analysing and storing data from numerous connected devices to produce valuable insights. …”
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PCEP application in cloud-network convergence and end to end traffic assurance scheme by Yue WANG, Aijun WANG, Honglei XU

“…With the booming development of new technologies such as cloud computing, big data and the continuous upgrading of communication infrastructure, the major domestic ISPs have proposed the development strategy of building a centralized control and flexible cloud network infrastructure under the trend of intelligent-traction network transformation.As a path calculation protocol widely used in the existing SDN architecture, PCEP protocol was often used to solve the problem of cross-layer and cross-domain path computing under complex network environment.The application of PCEP protocol in cloud-network convergence scenario was discussed and an end-to-end traffic guarantee scheme was introduced based on PCEP protocol which could ensure the connection-oriented network communication and make end-to-end service guarantee in native IP environment.It helps to improve the operators' ability of real-time perception, agile response and intelligent analysis of the network and meets the operation and maintenance management requirements such as global scheduling of communication resources, comprehensive opening of capabilities and flexible architecture.…”
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A Novel Resource Productivity Based on Granular Neural Network in Cloud Computing by Farnaz Mahan, Seyyed Meysam Rozehkhani, Witold Pedrycz

“…In recent years, due to the growing demand for computational resources, particularly in cloud computing systems, the data centers’ energy consumption is continually increasing, which directly causes price rise and reductions of resources’ productivity. …”
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Automatic Edge Detection From Point Clouds Collected by Terrestrial Laser Scanners by Anh Thu Thi Phan, Thi Ngoc Huynh, Mai Pham Huynh

“…The continuous advancement of precise and high-speed laser scanning technology has enabled its widespread utilization in construction surveying. …”
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Approaches to Addressing Service Selection Ties in Ad Hoc Mobile Cloud Computing by Ayotuyi Tosin Akinola, Matthew Olusegun Adigun

“…The ad hoc mobile cloud (AMC) allows mobile devices to connect together through a wireless connection or any other means and send a request for web services from one to another within the mobile cloud. …”
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Improving the Leakage Rate of Ciphertext-Policy Attribute-Based Encryption for Cloud Computing by Leyou Zhang, Xiaoxu Gao, Fuchun Guo, Gongcheng Hu

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Dynamic scheduling strategies for cloud-based load balancing in parallel and distributed systems by Nasser S. Albalawi

“…Existing scheduling procedures continually fail to regulate real-time alterations, leading to suboptimal performance and resource underutilization. …”
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IoT and cloud-based non-invasive diabetes detection system from photoplethysmogram by Nusrat Jahan Papri, Ajmal Ahmed, Aditta Chowdhury

“…With the rapid advancements of the Internet of Things (IoT) and cloud computing, healthcare is evolving for early disease detection and personalized treatment solutions. …”
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COMPUTERIZED OPTICAL EXPERIMENTS WITH PORTABLE SPECTROMETERS AND AMAZON WEB SERVICES CLOUD INTEGRATION by Andriy Krupych, Ivan Karbovnyk

“…The proposed solution enables real-time optical experiments, automates spectral data collection and processing, and ensures secure cloud storage for further analysis. By leveraging cloud technologies, the system enhances research efficiency and accessibility, reducing dependence on physical presence in the laboratory. …”
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Asynchronous Real-Time Federated Learning for Anomaly Detection in Microservice Cloud Applications by Mahsa Raeiszadeh, Amin Ebrahimzadeh, Roch H. Glitho, Johan Eker, Raquel A. F. Mini

“…In this paper, we propose an Asynchronous Real-Time Federated Learning (ART-FL) approach for anomaly detection in cloud-based microservice systems. In our approach, edge clients perform real-time learning with continuous streaming local data. …”
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The Impact of Cloud Versus Local Infrastructure on Automatic IoT-Driven Hydroponic Systems by Cosmina-Mihaela Rosca, Adrian Stancu, Marian Popescu

“…This research comparatively analyzes two proposed types of infrastructures that optimize the growth flow of plants in a hydroponic system for continuous monitoring, one full-cloud and one full-local. …”
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Assessment of binary prediction of fraudulent advertisements in ATS candidate tracking cloud systems by V. V. Ligi-Goryaev, G. A. Mankaeva, T. B. Goldvarg, S. S. Muchkaeva, E. N. Dzhakhnaeva

“…The abstract describes the construction of a binary classification model for predicting the type of job advertisement in cloud-based ATS (Applicant Tracking Systems) as either legitimate or fraudulent. …”
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Assessment of binary prediction of fraudulent advertisements in ATS candidate tracking cloud systems by V. V. Ligi-Goryaev, G. A. Mankaeva, T. B. Goldvarg, S. S. Muchkaeva, V. V. Dzhakhnaev

“…The abstract describes the construction of a binary classification model for predicting the type of job advertisement in cloud-based ATS (Applicant Tracking Systems) as either legitimate or fraudulent. …”
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