CLOUD COMPUTING AND BIG DATA AS CONVERGENT TECHNOLOGIES FOR RETAIL PRICING STRATEGIES OF SMEs by George SUCIU, Gyorgy TODORAN, Adelina OCHIAN, Victor SUCIU, Janna CROPOTOVA

“…But, until recently, these efforts have been rooted in advances in computing technology, such as cloud computing and big data mining, rather than in newfound applications of scientific principles. …”
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Research Tests of Drill Seeder with Control and Monitoring Unit of Seed Metering Device for Differentiated Dosing of Seeds and Mineral Fertilisers in Precision Agriculture by Zolotukhin Yevgeniy, Nukeshev Sayakhat, Amantayev Maxat, Rustembayev Arman, Kakabayev Nurbol, Kravchenko Ruslan

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Weather conditions favorable for agricultural spraying in Rio Grande do Sul State by Sidinei Z. Radons, Arno B. Heldwein, Jocélia R. da Silva, Atawana V. da Silva, Eduardo Schepke, Dionéia D. P. Lucas

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Estimating corn leaf chlorophyll content using airborne multispectral imagery and machine learning by Fengkai Tian, Jianfeng Zhou, Curtis J. Ransom, Noel Aloysius, Kenneth A. Sudduth

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A concept of levels of detail for modeling Buddhist statues in 3D by Yuehan Pan, Hongchao Fan, Huabiao Li, Miaole Hou

“…The key feature of the proposed LoD concept is the integration of semantic information, which serves as fundamental data for interoperability in computer-aided applications. …”
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Grain intermodal terminals: evaluation of pure technical efficiency by Data Envelopment Analysis by Maria Gabriela Mendonça Peixoto, Maria Cristina Angélico Mendonça, Marcel Andreotti Musetti, Mario Otavio Batalha, Renato Luiz Sproesser

“…Abstract This paper aimed to verify if terminals with productive efficiency also have pure technical efficiency, using DEA (Data Envelopment Analysis) technique. The research approach was the qualitative-quantitative or mixed, with exploratory purpose; the research method defined was the case study (multicases); data were collected through interviews using a structured questionnaire and non-probability for convenience sampling. …”
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Comments on the Methods of Characterization of Textural Properties of Solids from Gas Adsorption Data by Antonio Marcilla, Amparo Gomez-Siurana, Ma Muñoz José, Francisco Javier Valdés

“…Examples are presented showing that the suggested procedure provides a proper interpretation of the data coherent with the origin of the samples and avoids the misinterpretation that could arise from the application of the conventional methods.…”
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The role of real world data and real world evidence in health technology assessment by E. A. Novoderezhkina, S. К. Zyryanov

“…Real world data (RWD) and real world evidence (RWE) is one of the most rapidly developing areas in the modern health care systems, which is caused by the development of technologies for both collecting and analyzing data, the emergence of new data sources and the formation of needs both by regulatory bodies, health technology assessment (HTA) agencies, and by the clinical and scientific communities. …”
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Research on Data Platform of Urban Rail Signaling Intelligent Operation and Maintenance System by DENG Yongqi, YANG Jiang, YANG Yibin

“…Aiming at the problem of massive data processing in the construction and application of urban rail signaling intelligent operation and maintenance system, this paper studies a data platform of urban rail signaling intelligent operation and maintenance system, and designs a data platform architecture and its communication component scheme to realize high-performance data acquisition. …”
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A Survey of Computational Tools to Analyze and Interpret Whole Exome Sequencing Data by Jennifer D. Hintzsche, William A. Robinson, Aik Choon Tan

“…WES technologies have shifted the bottleneck in experimental data production to computationally intensive informatics-based data analysis. …”
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Research on Sleeper Detection Scheme Based on Image and Laser Multi-data Fusion by LIU Yuanming, ZHANG Lei

“…In this paper, aiming at the problem of automatic detection and identification of track sleepers for a large-scale tamping machine, an automatic detection algorithm for track sleepers based on multi-dimensional sensor data fusion algorithm is proposed. This scheme combines the chaos enhanced drosophila optimization algorithm (CFOA) and the fuzzy clustering segmentation technology, expands the application scope of the algorithm, improves the accuracy of image recognition and anti-noise performance, and carries out multi-data fusion with the laser ranging sensor data. …”
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Unveiling the economic potential of sports industry in China: A data driven analysis. by Haishan Liu

“…The findings of the study reveal the importance of sports industry for economic growth of China. Moreover, the application of deep learning algorithm highlights the importance of continuous learning and training on the economic data from the sports industry. …”
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Electronic communication data, jurisdiction and international legal cooperation: Brazil and United States by Ana Paula Gonzatti da Silva

“…This study aims to find out if it is necessary to resort to international legal cooperation mechanisms to obtain data which are under control internet application providers established abroad. …”
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Analyzing Competing Risks with Progressively Type-II Censored Data in Dagum Distributions by Raghd Badwan, Reza Pakyari

“…This study investigates the application of competing risk models in the presence of progressively Type-II censored data for the Dagum distribution, a flexible distribution suited for modeling data with heavy tails and varying skewness and kurtosis. …”
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IMPLIKASI PENERAPAN PROGRAM E-HEALTH DIHUBUNGKAN DENGAN PERLINDUNGAN DATA PRIBADI by Sinta Dewi Rosadi

“… Abstract The ICT advancement to connect health centers and hospitals to use electronic health applications (e-health) has become a global issue. E-health which is one of the Action Plan of the World Summit on the Information Society (WSIS) Geneva 2003 is an ICT-based application for the health care industry. …”
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Research on Detection Technology of Wind Turbine Blade AnomalyBased on Audio Data by HU Kaikai, CHEN Yanan, CHEN Gang, SHU Hui, LI Ziyuan

“…Simulation and practical application results show that this method can identify whether the blade is damaged and whether the cooling fan works, so as to eliminate the interference by the operation of cooling fan on the blade anomaly detection and realize the abnormal detection of blade whistle, so as to form a feasible blade anomaly detection method based on the audio data of wind turbine.…”
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Implementation of Object Relational Data Base Management on Depreciation System Using ORACL by Asmaa Hammo, Alaa Saeed

“…This research implements concept of Object Relational DataBases Management System ORDBMS on depreciation system because it’s considered as a complex model. …”
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MSMCE: A novel representation module for classification of raw mass spectrometry data. by Fengyi Zhang, Boyong Gao, Yinchu Wang, Lin Guo, Wei Zhang, Xingchuang Xiong

“…Experimental results on four public datasets demonstrate that the proposed MSMCE module not only achieves substantial improvements in classification performance but also enhances computational efficiency and training stability, highlighting its effectiveness in raw MS data classification and its potential for robust application across diverse datasets.…”
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An Extension of the Quadratic Error Function for Learning Imprecise Data in Multivariate Nonlinear Regression by Castro Gbêmêmali Hounmenou, Kossi Essona Gneyou, Romain Glélé Kakaï

“…We give an extension of the generalized least squares error function in a context of multivariate nonlinear regression to learn imprecise data. The simulation study and application case on real datasets conducted and based on multilayer perceptron neural networks (MLP) with bivariate continuous response and asymmetric revealed a significant gain in precision using the new quadratic error function for these types of data rather than using a classical generalized least squares error function having any covariance matrix.…”
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Big Data Oriented Novel Background Subtraction Algorithm for Urban Surveillance Systems by Ling Hu, Qiang Ni, Feng Yuan

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