Enhanced Homomorphic Encryption for Cloud Security Through Individual Optimization by Radha Marepalli, Sunitha Vanamala, Manoj Kumar Konda, Venkata Rama Lakshmi Gundala, Prasanthi B.

“…Cloud computing is susceptible to a wide range of security issues since it is decentralized. …”
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Optimizing encrypted search in the cloud using autoencoder-based query approximation by Mahmoud Mohamed, Khaled Alosman

“…The research address these gaps through large-scale experiments and novel optimizations. Our work provides a rigorous evaluation of autoencoder-based query approximation for encrypted cloud search using real-world datasets. …”
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A Cloud Vertical Structure Optimization Algorithm Combining FY-4A and DSCOVR Satellite Data by Zhuowen Zheng, Jie Yang, Taotao Lv, Yulu Yi, Zhiyong Lin, Jiaxin Dong, Siwei Li

“…Although passive remote sensing offers broad coverage and high temporal resolution, sensor and algorithmic limitations impede the accurate depiction of cloud vertical profiles. To improve estimates of their key structural parameters, e.g., cloud top height (CTH) and cloud vertical extent (CVE), we propose a multi-source collaborative optimization algorithm. …”
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Enhancing LiDAR Data Positioning Accuracy in National Forest Surveys through Multi-Source Point Cloud Matching in Terrasolid software by A. Shcherbacheva, A. Puttonen, A. Soininen

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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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Cloud-Edge-Collaboration-Based Flexibility Scheduling Strategy Considering Communication and Computation Delay by Wei Zhang, Hui Miao

“…Aiming at reducing flexibility shortage brought by delay, we propose a modified flexibility scheduling strategy based on cloud-edge collaboration. Compared with traditional strategy, centralized optimization is replaced by distributed optimization to consider both economic efficiency and effect of delay. …”
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Surface Soil Moisture Estimation Taking into Account the Land Use and Fractional Vegetation Cover by Multi-Source Remote Sensing by Rencai Lin, Xiaohua Xu, Xiuping Zhang, Zhenning Hu, Guobin Wang, Yanping Shi, Xinyu Zhao, Honghui Sang

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Integrating Mobile Devices and Wearable Technology for Optimal Sleep Conditions by You-Kwang Wang, Chien-Yu Chen

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Multi-agent Coordination and Optimal Dispatch of Microgrid with CES Based on Ecological Game by Xianshan LI, Aobo CHEN, Shan CHENG, Minrui CHEN

“…The simulation results show that the cloud energy storage service optimizes the load curve, reduces the electricity cost, and cloud energy storage operators also gain benefits, achieving a multi-party win-win effect.…”
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Green Video Transcoding in Cloud Environments Using Kubernetes: A Framework With Dynamic Renewable Energy Allocation and Priority Scheduling by B. M. Beena, Prashanth Cheluvasai Ranga, A. Vinitha Chowdary, Rohan Gamidi, M. Hemasri, Tejaswi Muppala

“…The research addresses these challenges by developing a green, energy-aware video transcoding system that predicts energy availability from renewable sources (solar and wind) using machine learning techniques and optimizes tasks allocation. …”
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P. I. E. N. O.–Petrol-Filling Itinerary Estimation aNd Optimization by Marco Savarese, Antonio de Blasi, Carmine Zaccagnino, Carlo Augusto Grazia

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Cloud Service for Interactive Simulation of Interregional Trade by A. S. Velichko, V. V. Gribova, L. A. Fedorishchev

“…The mathematical formulation of the problem belongs to the class of convex mathematical programming problems and assumes the numerical solution of nonlinear optimization problem with linear constraints. Based on the model, the software is implemented as a cloud service on heterogeneous computing architectures: the simulation module is made on a highperformance server platform, management and visualization modules are produced with IACPaaS cloud platform. …”
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APEX: an automated cloud-native material property explorer by Zhuoyuan Li, Tongqi Wen, Yuzhi Zhang, Xinzijian Liu, Chengqian Zhang, A. S. L. Subrahmanyam Pattamatta, Xiaoguo Gong, Beilin Ye, Han Wang, Linfeng Zhang, David J. Srolovitz

“…APEX is an open-source, extendable, cloud-native platform for material property calculations using a range of atomistic simulation methodologies that effectively manages diverse computational resources and is built upon user-friendly features including automatic results visualization, a web-based platform and a NoSQL database client. …”
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Mitigating malicious denial of wallet attack using attribute reduction with deep learning approach for serverless computing on next generation applications by Amal K. Alkhalifa, Mohammed Aljebreen, Rakan Alanazi, Nazir Ahmad, Sultan Alahmari, Othman Alrusaini, Ali Alqazzaz, Hassan Alkhiri

“…Abstract Denial of Wallet (DoW) attacks are one kind of cyberattack whose goal is to develop and expand the financial sources of a group by causing extreme costs in their serverless computing or cloud environments. …”
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Provisioning of Live Container Migration in Edge/Cloud Environments: Techniques and Challenges by Radhwan Al-Bayram, Rawaa Qasha

“…In IoT applications and edge/cloud deployment, the live container migration can substantially reduce computing system overheads by minimizing the migration time and transmitting minimum memory pages from the source host without interrupting the service process. …”
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An Intelligent Inspection and Scheduling Algorithm for Integrated Pipe Gallery Based on Cloud Robot by ZHOU Xiwei, SHANG Xiao, SHANG Xinjuan, YAN Maode, WANG Fafa

“…For the instantaneous and delayed flood disasters of corridor management, a mathematical model of cloud robot inspection area dispatching was established and solved by particle swarm optimization and adaptive weight particle swarm optimization. …”
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An Enhanced Framework for Assessing Pluvial Flooding Risk with Integrated Dynamic Population Vulnerability at Urban Scale by Xinyi Shu, Chenlei Ye, Zongxue Xu, Ruting Liao, Pengyue Song, Silong Zhang

“…Additionally, using multi-source remote sensing data, dynamic population vulnerability, and flood hazard processes, a quantitative dynamic flood risk analysis is conducted based on cloud models. …”
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HiGoReg: A Hierarchical Grouping Strategy for Point Cloud Registration by Tengfei Zhou, Jianxiang Gu, Zhen Dong

“…This method incrementally updates the pose of the source point cloud via a hierarchical mechanism, while adopting a grouping strategy to efficiently conduct recursive parameter estimation. …”
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Local Cloud Design for Ease of Management and Security of Sensitive Data in Business Organizations by Binastya Anggara Sekti, Ryan Putra Laksana, Rudi Heri Marwan, Mohamad Iqbal Ajie Laksono, Nizirwan Anwar

“…This research aims to design a local cloud as a private cloud to improve data management and security in the organization. …”
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Temporal fusion transformer-based strategy for efficient multi-cloud content replication by Naganandhini S., Shanthi D.

“…However, managing optimal replication while considering dynamic changes in data popularity and cloud resource availability remains a formidable challenge. …”
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