Review of preclinical data on hyperthermia treatment in lymphomas and its potential for clinical application by Moritz V. Scharr, Frederik Damm, Paul Krahl, Anna Dieper, Paraskevi D. Veltsista, Alexander Hansch, Marcus Beck, Dominik Gerster, Anna-Chiara Giovannelli, Lars Bullinger, Daniel Zips, Pirus Ghadjar

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Data Mining Approaches in Predicting Entrepreneurial Intentions Based on Internet Marketing Applications by Milan Krivokuća, Mihalj Bakator, Dragan Ćoćkalo, Marijana Vidas-Bubanja, Vesna Makitan, Luka Djordjević, Borivoj Novaković, Stefan Ugrinov

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Optimizing and dimensioning a data intensive cloud application for soccer player tracking by Dobreff Gergely, Molnar Marton, Toka Laszlo

“…Cloud-based services revolutionize how applications are designed and provisioned in more and more application domains. …”
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Martingale Stopping Rule Application in Bayesian A/B Testing With Batch Data by Yali Wang, Haiyan Yu, Ching-Chi Yang, Ronggui Zhang

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Exponentiated Inverse Rayleigh Distribution and an Application to Coating Weights of Iron Sheets Data by Gadde Srinivasa Rao, Sauda Mbwambo

“…To illustrate these methods in a practical application, a data analysis of real-world coating weights of iron sheets is obtained from the ALAF industry, Tanzania, during January-March, 2018. …”
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Some methods of estimating the spatial pattern point data with application ( comparative study) by Jaufar Mousa Mohammed

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Third demographic transition and demographic dividend: An application based on panel data analysis by González Alejandro López, González-González María Jesús

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Edge Computing Architectures for Low-Latency Data Processing in Internet of Things Applications by Banoth Sreenu, M Vineesha, Punna Hari Shankar, P Mathiyalagan, Prakash Vijay, M Jasmin

“…The explosion of Internet of Things (IoT) devices is leading to a need for ever-increasing low-latency data processing and real-time decision-making. Conventional cloud-based architectures, on the other hand, usually lead to high latency and bandwidth constraints which are not compliant to time-sensitive IoT applications. …”
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Textual Data Mining Applications in the Service Chain Knowledge Management of e-Government by Jalal Rezaeenour, MohammadReza SheikhBahaei

“…Approximately 80 percent of corporate information are in textual data formats. That is why text mining is useful and important in service chain knowledge management. …”
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Application of support vector machine system introducing multiple submodels in data mining by Weinan Tang

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SAFED: secure and adaptive framework for edge-based data aggregation in IoT applications by Zaineb Naaz, Gamini Joshi, Vidushi Sharma

“…To address these challenges, this paper presents a Secure and Adaptive Framework for Edge-based Data Aggregation (SAFED) in IoT applications. The proposed framework is simple and easy to implement in real life scenario. …”
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Comparision of Kernel Functions in Geographically Weighted Regression Model: Suicide Data as an Application by Tuba Koç, Pelin Akın

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Power Measurement and Data Logger with High-Resolution for Industrial DC-Grid Application by Apse-Apsitis Peteris, Senfelds Armands, Avotins Ansis, Paugurs Arturs, Prieditis Marcis

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Design and Application of Algorithm Intensive Environment for CMA Big Data and Cloud Platform by Huo Qing, He Wenchun, He Lin, Gao Feng, Chen Shiwang, Xu Yongjun

“…It addresses business needs such as efficient and stable processing of data products, data sharing and collaboration among business systems, and efficient and intensive business applications. …”
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The Application of Public Data in Forensic Real Estate Valuations: Problems, Limitations, Opportunities by A. Yu. Butyrin, V. M. Kruglyakova, I. A. Shipilova

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The Extended Exponential Weibull Distribution: Properties, Inference, and Applications to Real-Life Data by Adam Braima S. Mastor, Oscar Ngesa, Joseph Mung’atu, Nada M. Alfaer, Ahmed Z. Afify

“…Eventually, two real-world data sets are utilized to show the applicability of the new distribution.…”
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Research on the application of improved MCMC algorithm in the measurement of high-dimensional financial data by Naijia Liu, Yuchao Su

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A hybrid memory trace collection and analysis toolkit for big data applications by Zuojun LI, Haiyang PAN, Mingyu CHEN, Yungang BAO

“…The rise of in-memory computing framework represented by Spark,the gradual deepening of new non-volatile memory research and the increasingly severe data security situation made the existing memory behavior analysis tools unable to meet the demand for big data applications.A software-hardware hybrid memory trace collection and analysis toolkit for big data applications was proposed.Based on the basic memory trace collected by hardware,the memory behavior information with rich semantic information can be obtained quickly,accurately and undistorted by combining software information synchronization and offline annotation.It also provides an implementation method for real-time security monitoring of large data access.Finally,a group of real big data applications were analyzed by this toolkit.…”
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Application of data mining to extract knowledge about the occurrence of fistulas after palatoplasty by Patrick Pedreira Silva, Elvio Gilberto da Silva, Vinicius Santos Andrade, Telma Vidotto de Sousa Brosco, Gabriela Aparecida Prearo, Maria Inês Pegoraro-Krook, Jeniffer de Cassia Rillo Dutka

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Assessing a Measurement-Oriented Data Management Framework in Energy IoT Applications by Hariom Dhungana, Francesco Bellotti, Matteo Fresta, Pragya Dhungana, Riccardo Berta

“…The Internet of Things (IoT) has enabled the development of various applications for energy, exploiting unprecedented data collection, multi-stage data processing, enhanced awareness, and control of the physical environment. …”
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