A Storm Frame Optimization Method for Predicting and Warning the Safety Status of a Shearer by Pei Zhang, Yanpeng He, Li Ma, Changkui Cong

“…To solve the problem of lag in determining the operating status of a shearer, this study proposes a new method for predicting and warning the real‐time operating status of the shearer involving the Storm framework, based on parallel optimization of data processing and the gated recurrent unit (GRU) model based on hyperparameter optimization. …”
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Analisis postur kerja dan redesain fasilitas bagian pengemasan (studi kasus pada PT RNM) by Ida Bagus Suryaningrat, El Daffa Ramadiansyah, Ragil Ismi, Andrew Setiawan Rusdianto, Noer Novijanto

“…The purposes of this research are to analyze the work posture of packaging workers at UKB PT RNM, analyze the risk level of complaints of musculoskeletal disorders (MSDs) at UKB PT RNM, and design packaging station work facilities according to anthropometric data processing and QFD methods. The data processing stages in this research include processing NBM worksheet data, REBA, then processing QFD data, then processing anthropometric data, and work facility dimensions. …”
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Hyperhomocisteinemia, hypercysteinemia, glutamate excitotoxicity, taurine deficiency at hepatitis C by V. K. Pozdeev, N. V. Pozdeev, O. Ye. Nikitina

“…Data processing by nonnormal histogram plotting of substances plasma levels in hepatitis C patients revealed heterogeneity of pathochemistry of hepatitis C for tGSH, tCys and Gln. …”
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A method for estimating the polymer gel granule volume by an optical technique by M.G. Tokmachev

“…Factors that influence the result of automatic data processing in the optical micrometry method are investigated. …”
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Minimizing Energy Consumption Based on Clustering & Data Aggregation Technique in WSN (MECCLADA) by Dhulfiqar Talib Abbas, Dalal Abdulmohsin Hammood, Seham ahmed hashem, Saidatul Norlyana Azemi

“…Energy is needed at sensor nodes for a variety of operations, including data receipt and transmission, data processing, sensing, and other operations. However, data processing uses substantially less energy than data transmission, which has the highest energy consumption of all of them. …”
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Computational complexity when constructing rational plans for program execution in a given field of parallel computers by V. M. Bakanov

“…The developed software and methods have been successfully used for a number of years for increasing student competence in data processing parallelization at Russian universities.…”
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Automation of image processing through ML algorithms of GRASS GIS using embedded Scikit-Learn library of Python by Polina Lemenkova

“…Though each algorithms was developed to serve different objectives of ML applications in RS data processing, their technical implementation and practical purposes present valuable approaches to cartographic data processing and image analysis. …”
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System-Level Digital Twin Modeling for Underwater Wireless IoT Networks by Lei Wang, Lei Yan, Xinbin Li, Song Han

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LotusSQL: SQL Engine for High-Performance Big Data Systems by Xiaohan Li, Bowen Yu, Guanyu Feng, Haojie Wang, Wenguang Chen

“…In recent years, Apache Spark has become the de facto standard for big data processing. SparkSQL is a module offering support for relational analysis on Spark with Structured Query Language (SQL). …”
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Modeling Accuracy in FEA of Vibrations of a Drumhead by Robert J. Melosh

“…The study of the problem of predicting values of Rayleigh’s quotient for a square drumhead provides a basis for assessing the relation between grid size, accuracy of analysis results, and efficiency of data processing in finite element analysis. The analysis data indicate that unacceptable grid sampling can occur even for the fine grids, that strictly monotonic convergence is attainable for vibration analysis, and that more efficient computer analysis associates with use of curve fitting analysis of conventional finite element analysis results.…”
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A Self-Adaptive Extragradient Algorithm for Solving Quasimonotone Variational Inequalities by Li-Jun Zhu, Tzu-Chien Yin

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Endosonography: New Developments in 2006 by Marc Giovannini

“…Recent progress of the data processing applied to ultrasound (US) examination made it possible to develop new software. …”
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Fast Channel Selection Strategy in Cognitive Wireless Sensor Networks by Yong Sun, Jian-sheng Qian

“…In order to meet the practical requirement for Cognitive Wireless Sensor Networks applications, this paper proposes innovative fast channel selection algorithm to solve the shortcomings of original Experience-Weighted Attraction algorithm's complexity, higher energy consuming, and the nodes’ hardware restrictions of real-time data processing capabilities. Research is conducted by comparing channel selection differences and timeliness with traditional Experience-Weighted Attraction learning. …”
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Applications and Challenges of High-Throughput Phenotyping of Crops at Ground and Aviation Scales by Longyue CHEN, Dandan DUAN, Weibing XU, Zuolin LI, Chong ZHAO, Yi JIANG, Yonggang GAO, Wenqing ZUO

“…It shows that there are still challenges in data processing and analysis, cross-species, cross-organization, and cross-environment applications. …”
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Représentations sociales des nanosciences et nanotechnologies chez des lycéens by Konstantinos Grivopoulos

“…By applying the categorical and prototypical analysis method for the data processing, our general hypothesis seems to be partly verified within the limits of this research.…”
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R-SYSTEM AND INFORMATION TECHNOLOGIES AS TOOLS FOR ECONOMIC INTELLIGENCE IN ORGANIZATIONS by A. Volchkov, N. Struzhkin

“…Significant growth of computing power, evolution of intelligent data processing algorithms and development of simulation modeling allow to use R-system methods in the most efficient way.…”
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Out of school children and child protection: Understanding and improving the quality of data on out of school children by William C. Smith

“…Sampling frames, definitional challenges, and data processing procedures are considered. I end this brief article with recommendations to improve the monitoring of out of school children through improved data collection, data alignment, and data reporting.…”
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The effect of porosity on fragmentation statistics of dynamically loaded ZrO2 ceramics by Marina Davydova, Sergei Uvarov, Oleg Naimark

“…Cylindrical samples were fragmented under dynamic compression. Experimental data processing showed that the shape of stress-strain curves, the fragment size distribution and distribution of time intervals between the fractoluminiscense impulses depend on the sample porosity and load intensity. …”
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PSGpower: A MATLAB toolbox for analyzing sleep EEG data by Ahren B. Fitzroy, Rebecca M.C. Spencer

“…Sleep science has seen a surge in discoveries fueled by enhanced data processing approaches to sleep physiology recordings. …”
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Vers les analyses algorithmiques de l'espace et des territoires by Claire Bailly, Jean Magerand

“…To this end, we will highlight some of the salient points of automated data processing. Starting from the observation that the ways we read the world co-evolve with the ways we act on it, the challenge is ultimately to better understand how big data, data mining and machine learning are likely to affect our design processes.…”
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