Direct FVM Simulation for Sound Propagation in an Ideal Wedge by Hongyu Ji, Xinhai Xu, Xiaowei Guo, Shuai Ye, Juan Chen, Xuejun Yang

“…The results presented in this paper validate the accuracy of the numerical techniques and show that the direct FVM simulation could be applied to large-scale complex acoustic applications with a high performance computing platform.…”
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Evaluation of Machine Learning Models for Mapping Food Crops using Sentinel-2A Imagery in West Java, Indonesia by Ridwana Riki, Kamal Muhammad, Arjasakusuma Sanjiwana, Rabbi Muh Fiqri Abdi

“…Google Earth Engine is used in this study as a big data cloud computing platform for remote sensing. Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) Sentinel2A imagery is utilized to employ time series data as input characteristics for the three most popular machine learning models: Support Vector Machine (SVM), Random Forest (RF), and Classification and Regression Trees (CART). …”
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A New Asymmetric Fully Homomorphic Encryption Scheme for Cloud Banking Data by Zana Thalage Omar, Fadhil Salman Abed, Shaimaa Khamees Ahmed

“…Our current research provides a new algorithm for a publicly-keyed encryption system to keep bank data from tampering and theft when stored on the cloud computing platform, and our new system achieves fully Homomorphic Encryption, which allows mathematical operations to be performed on the encrypted text without the need for the original text. …”
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FI-NL2PY2SQL: Financial Industry NL2SQL Innovation Model Based on Python and Large Language Model by Xiaozheng Du, Shijing Hu, Feng Zhou, Cheng Wang, Binh Minh Nguyen

“…This paper innovatively proposes a new NL2SQL method based on a large language model (LLM), which could be adapted to an edge-cloud computing platform. First, natural language is converted into Python language, and then SQL is generated through Python. …”
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Examining the landscape transformation and temperature dynamics in Pakistan by Awais Ali, Bilal Hussain, Riaz Ul Hissan, Khalid M. Al Aiban, Magdalena Radulescu, Cosimo Magazzino

“…To analyze the landscape transformation and temperature dynamics, the study used spectral indices including Land Surface Temperature, Normalized Difference Vegetation Index, Normalized Difference Water Index, Normalized Difference Built-up Index, and Normalized Difference Bareness Index by employing Google Earth Engine cloud computing platform. The results suggest that there are differences in the type of land surface temperature, ranging from 15.58 °C to 43.71 °C during the study period. …”
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Automatic Scaling Mechanism of Intermodal EDI System under Green Cloud Computing by Qiang Huang, Lin Sun, Furong Jia, Jiaxin Yuan, Yao Wu, Jinshan Pan

“…Based on the resource scheduling characteristics of container cloud and considering the distribution and heterogeneity of intermodal cloud computing platform from the perspective of resource allocation, the automatic scaling mechanism of XEDI is established, the scaling model is established, and the automatic scaling algorithm is proposed. …”
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Downscaling of ERA5 reanalysis land surface temperature based on attention mechanism and Google Earth Engine by Shiyu Li, Hong Wan, Qun Yu, Xinyuan Wang

“…Therefore, to improve the spatial resolution of ERA5-Land LST data, this study proposes an Attention Mechanism U-Net (AMUN) method, which combines data acquisition and preprocessing on the Google Earth Engine (GEE) cloud computing platform, to downscale the hourly monthly mean reanalysis LST data of ERA5-Land across China’s territory from 0.1° to 0.01°. …”
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Genetic analysis of scab disease resistance in common bean (Phaseolus vulgaris) varieties using GWAS and functional genomics approaches by Shadrack Odikara Oriama, Benard W. Kulohoma, Evans Nyaboga, Y. O. Masheti, Reuben Otsyula

“…Annotation of genes proteins with significant association values was conducted using a machine learning algorithm of support vector machine on prPred using python3 on Linux Ubuntu 18.04 computing platform with an accuracy of 0.935. Results Common bean accessions tested showed varying phenotypes of susceptibility to scab disease. …”
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Lymph Node Adiposity and Metabolic Dysfunction-Associated Steatotic Liver Disease by Jessica M. Rubino, Natalie Yanzi Ring, Krishna Patel, Xiaoqing Xia, Todd A. MacKenzie, Roberta M. diFlorio-Alexander

“…Statistical analysis using univariable and multivariable logistic regression and odds ratios was performed using R version 4.1.0 (2021), the R Foundation for Statistical Computing Platform. <b>Results</b>: We found a significant association between MASLD and mammographic LNA, defined as lymph node (LN) length > 16 mm (<i>p</i> = 0.0004) that remained significant after adjusting for clinical factors, including body mass index (BMI). …”
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Promoting Computational Access to Digital Collections in the Nordic and Baltic Countries: An Icelandic Use Case by Gustavo Candela, Olga Holownia, Max Odsbjerg, Mirjam Cuper, Nele Gabriëls, Katrine Hofmann, Edward J. Gray, Sally Chambers, Mahendra Mahey

“…Low barrier-to-entry tools, such as the web-based interactive computing platform Jupyter Notebooks have been gradually gaining popularity among users who want to explore digital collections and GLAM institutions that want to provide access to them. …”
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Precision Target Spraying System Integrated with Remote Deep Learning Recognition Model for Cabbage Plant Centers by ZHANG Hui, HU Jun, SHI Hang, LIU Changxi, WU Miao

“…The model operated on the Jetson Xavier NX controller, which was a high-performance, low-power computing platform designed for edge computing. The system was allowed to process complex tasks in real time directly in the field. …”
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Approach on runtime monitoring based on the embedded trusted platforms by Zhao-chang SUN, Jian-feng MA, Cong SUN, Di LU

“…The state-of-art trusted computing platforms fall short of monitoring its own runtime security properties.In order to mitigate these problems,an approach on runtime monitoring for the embedded trusted platforms was proposed.With the automated code instrumentation and the runtime monitoring,that the runtime security functionalities were consistent with the design specifications of trusted computing platforms could be made sure.The system performance and states meet specific constraints could also be ensured.The runtime exceptions on the specific properties were handled in real-time.The experimental results show that with the increase on the number of monitoring nodes,the precision and real-time performance of proposed runtime monitoring increase.Meanwhile,the costs on the monitoring and the exception handling are moderate.…”
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Research on resource monitoring and billing mechanisms of application engine in cloud computing environment by Yi REN, Jing ZHANG, Hong CHEN, Qing-bo WU, Jin-zhu KONG, Hua-dong DAI, Gang GUAN

“…A comprehensive study on the billing methods of existing cloud computing platforms was made.Then,AppScale,an open sourced scalable and typical PaaS software,as the foundation platform of our target resource monitoring and billing mechanisms was chose.Appscale’s structure,its components and how they worked together was analyzed.CloudMB,which enhanced AppScale by supporting process level resource monitoring and multi-user oriented billing function with flexible billing policies was designed and implemented.Finally,experiment verified that CloudMB is effective and its occupation of CPU time is lower than 3%.…”
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Exploration and Practice of Cloud Platform About Supporting Telecom Operators Intensive Management by Jingwei Yang, Lin Hu, Jinling Li, Zhiyong Liu

“…One solution was presented that telecom operators can achieve whole network resource intensive management by building centralized and unified cloud platform.Some problems were analyzed in detail and further resolved when bringing into and managing resource.The unified management,unified dispatch and unified presentation of resource by decentralization of authority and domain can be achieved,automatic opening of service by means of process connection can be achieved.The usage and use efficiency of monitored resource were also discussed combined with the actual application in cloud computer platform,which can provide evidence for intensive usage of resource.…”
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An Optimized Parallel FDTD Topology for Challenging Electromagnetic Simulations on Supercomputers by Shugang Jiang, Yu Zhang, Zhongchao Lin, Xunwang Zhao

“…The performance of the method is tested and analyzed on three high performance computing platforms with different architectures in China. …”
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Design of a Machine Learning-Based Platform for Currency Market Prediction: A Fundamental Design Model by Kevin Gordillo-Orjuela, Paulo Alonso Gaona-García, Carlos Enrique Montenegro-Marín

“…However, the development of these models and their deployment within computer platforms is a complex task, given the variety of approaches that each researcher uses based on the training process and therefore by definition of the model, which leads to the consumption of high computing resources for its training, as well as various processes for its deployment. …”
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Privacy-preserving image processing in cloud computing by Kui REN

“…Enjoying the rapid growth of image data and cloud computing platforms, various image processing ap-plications have emerged and flourished in recent years. …”
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Research on ciphertext search and sharing technology in edge computing mode by Jifeng WANG, Guofeng WANG

“…Aiming at the problem of edge computing data security, a ciphertext search and sharing solution was proposed, where the above-mentioned edge computing advantages were used to achieve user privacy data protection, edge nodes were used to construct encrypted inverted indexes, indexes and keys between edge nodes and cloud computing platforms were securely shared, and ciphertext search, secure data sharing, and dynamic index update were realized without changing the edge computing architecture and cloud computing architecture.Finally, compared to existing schemes, performance and security were analyzed and discussed, which proves that the proposed scheme has high security strength under ciphertext search attack model, and the ciphertext search efficiency and document dynamic update function are taken into account based on encrypted inverted index.…”
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Three-Dimensional Human Modeling Applications in Sport Sciences by Mehmet İmamoğlu, Osman İmamoğlu

“…The sport skills that are transferred to the computer platform turn into learning objects that many people can access from anywhere. …”
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M. Walker. Branching Is Not a Bug; It’s a Feature: Personal Identity and Legal (and Moral) Responsibility / trans. from Engl. V. A. Pilipenko by V. A. Pilipenko

“…For example, it has been speculated that the psychology of individuals might be emulated on a computer platform to create a personality duplicate — an ‘upload’. …”
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