APPLICATION OF SINGULAR SPECTRUM ANALYSIS METHOD IN FORECASTING INDONESIA COMPOSITE DATA by Latifah Nur Wijayanti, Mujiati Dwi Kartikasari

“…Thus, SSA will be utilized for forecasting ICI. The ICI data utilized is obtained from Yahoo Finance. On the basis of the forecasting result for the closing price of ICI from March 2, 2020 to March 28, 2022 using SSA, which yielded MAPE values of 1.59% for training data and 4.84% for testing data, it can be inferred that this method is accurate. …”
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A Proposal of Data - Driven Method for Determining the Weights of Composite Indicators by Kinga Kądziołka

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BlueEdge: application design for big data cleaning processing using mobile edge computing environments by Nagwa Elmobark, Haitham El-ghareeb, Sara Elhishi

Subjects: “…Fog computing…”
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Theoretical and computational investigations on estimation of viscosity of ionic liquids for green adsorbent: Effect of temperature and composition by Zhaoxiong Han

“…The viscosity of ionic liquids versus temperature and composition are estimated in this study via machine learning. …”
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A detailed study of α-relaxation in epoxy/carbon nanoparticles composites using computational analysis by C. A. Stergiou, A. Z. Stimoniaris, C. G. Delides

“…By employing some basic calculations along with an optimization procedure, which utilizes the pseudo-Voigt profile function, the experimental data have been successfully analyzed. In fact, additional values of sub-glass transition temperature (Ti) corresponding to subrelaxation mechanisms were introduced besides the dominant process. …”
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MinPlotX: A powerful tool for formula recalculation, visualization, and comparison of large mineral compositional datasets by Walters Jesse B., Gies Nils B.

“…MinPlotX is an open-source software for mineral formula recalculation and compositional plotting providing an easy-to-use stand-alone graphical user interface (GUI) as well as an advanced programming interface (API). …”
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Data on compositional diversity of textural varieties of lake superior-type Banded Iron Formation (BIF) of the Njweng prospect, Mbalam iron ore district, southern CameroonMendeley Data by Dieudonne Charles Isidore Ilouga, Cheo Emmanuel Suh, Akumbom Vishiti, Elisha Muntum Shemang

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AI Services-Oriented Dynamic Computing Resource Scheduling Algorithm Based on Distributed Data Parallelism in Edge Computing Network of Smart Grid by Jing Zou, Peizhe Xin, Chang Wang, Heli Zhang, Lei Wei, Ying Wang

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AI, big data, and quest for truth: the role of theoretical insight by Tuba Bircan

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Automated identification of pathways from quantitative genetic interaction data by Alexis Battle, Martin C Jonikas, Peter Walter, Jonathan S Weissman, Daphne Koller

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PCGOD: Enhancing Object Detection With Synthetic Data for Scarce and Sensitive Computer Vision Tasks by Walid Remmas, Martin Lints, Jaak Joonas Uudmae

“…Models trained with just 10% real data supplemented by our synthetic data achieve over 80% of the performance of models trained on 100% real data. …”
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Enhancing environmental observatories with fog computing by Ammar Kazem, Guillaume Pierre, Laurent Longuevergne

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A composite Feature Selection Method to improve Classifying Imbalanced Big Data by Shaymaa Razoqi, Ghayda Al-Talib

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A Novel Convolutional Neural Network–Long Short-term Memory Model for Interplanetary Coronal Mass Ejection Detection by Junpei Li, Hong Chen, Jingjing Wang, Yanhong Chen, Bingxian Luo, Hao Deng

Subjects: “…Astronomy data analysis…”
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Opportunities and challenges of quantum computing for climate modeling by Mierk Schwabe, Lorenzo Pastori, Inés de Vega, Pierre Gentine, Luigi Iapichino, Valtteri Lahtinen, Martin Leib, Jeanette Miriam Lorenz, Veronika Eyring

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Virtualization Security, Key Issues of Public Cloud Computing Security by Jiaren Jiang

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Enhancing Real-Time Processing in Industry 4.0 Through the Paradigm of Edge Computing by Nerea Gómez Larrakoetxea, Borja Sánz Uquijo, Iker Pastor López, Jon García Barruetabeña, Pablo García Bringas

Subjects: “…edge computing…”
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Steam Computing Analysis and Application on Operator Real-time Signal Big Data Processing by Bin Dong, Di Yang, Zheng Wang, Wenhong Zhou

Subjects: “…big data;stream computing;Storm;real-time signal data processing…”
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