Results 11 to 20 of about 5,534 (158)

Applicability Assessment of Technologies for Predictive and Prescriptive Analytics of Nephrology Big Data. [PDF]

Proteomics
ABSTRACT The integration of big data into nephrology research will open new avenues for analyzing and understanding complex biological datasets, driving advances in personalized management of kidney diseases. This paper describes the multifaceted challenges and opportunities by incorporating big data in nephrology, emphasizing the importance of data ...
Stojanov R, Jovanovik M, Gramatikov S, Mishkovski I, Zdravevski E, Sasanski D, Karapancheva Z, Spasovski G, Vasileska I, Eftimov T, Zhuojun W, Jankowski J, Trajanov D.   +12 more
europepmc   +2 more sources

A distributed data processing scheme based on Hadoop for synchrotron radiation experiments. [PDF]

J Synchrotron Radiat
A set of distributed data processing schemes for beamlines with experimental data using Hadoop are presented.With the development of synchrotron radiation sources and high‐frame‐rate detectors, the amount of experimental data collected at synchrotron radiation beamlines has increased exponentially. As a result, data processing for synchrotron radiation
Zhang D, Dai ZY, Sun XP, Wu XT, Li H, Tang L, He JH.   +6 more
europepmc   +2 more sources

The Lang‐Track‐App: Open‐Source Tools for Implementing the Experience Sampling Method in Second Language Acquisition Research

Language Learning, Volume 73, Issue 3, Page 869-903, September 2023., 2023
Abstract This paper introduces the Lang‐Track‐App, a smartphone application and backend system to aid second language acquisition researchers in implementing the experience sampling method (ESM). Surveying research participants with the Lang‐Track‐App multiple times per day can yield exceptionally rich data that can be analyzed in multiple ways.
Henriette L. Arndt, Jonas Granfeldt, Marianne Gullberg   +2 more
wiley   +1 more source

Big Data Infrastructure Design Optimizes Using Hadoop Technologies Based on Application Performance Analysis

Sistemasi: Jurnal Sistem Informasi, 2022
Big data's infrastructure is a technology that provides the ability to store, process, analyze, and visualize large data. The tools and applications used are one of the challenges when building big data's infrastructure.
Shafiyah Shafiyah, Ahmad Syauqi Ahsan, Rengga Asmara   +2 more
doaj   +1 more source

An investigation of distributed computing for combinatorial testing

Software Testing, Verification and Reliability, Volume 33, Issue 4, June 2023., 2023
Combinatorial test generation is the process of generating sets of input parameters for a system under test, by considering interactions between t values of multiple parameters; the paper investigates the use of distributed algorithms to generate such test suites.
Edmond La Chance, Sylvain Hallé
wiley   +1 more source

Intelligent online selling point extraction and generation for e‐commerce recommendation

AI Magazine, Volume 44, Issue 1, Page 16-29, Spring 2023., 2023
Abstract During the past decade, great significant advancements have been witnessed in the domain of automatic product description generation. As the services provided by e‐commerce platforms become diverse, it is necessary to dynamically adapt the patterns of descriptions generated.
Xiaojie Guo, Shugen Wang, Hanqing Zhao, Shiliang Diao, Jiajia Chen, Zhuoye Ding, Zhen He, Jianchao Lu, Yun Xiao, Bo Long, Han Yu, Lingfei Wu   +11 more
wiley   +1 more source

Big Data Analytics, Processing Models, Taxonomy of Tools, V’s, and Challenges: State‐of‐Art Review and Future Implications

Wireless Communications and Mobile Computing, Volume 2023, Issue 1, 2023., 2023
In the current digital era, data is budding tremendously from various sources like banks, businesses, education, entertainment, etc. Due to its significant consequence, it became a prominent proceeding for numerous research areas like the semantic web, machine learning, computational intelligence, and data mining.
Sandeep Dasari, Rajesh Kaluri, Zengpeng Li   +2 more
wiley   +1 more source

Swarm Intelligence to Face IoT Challenges

Computational Intelligence and Neuroscience, Volume 2023, Issue 1, 2023., 2023
The Internet of Things (IoT) paradigm denotes billions of physical entities connected to Internet that allow the collecting and sharing of big amounts of data. Everything may become a component of the IoT thanks to advancements in hardware, software, and wireless network availability.
Laith Abualigah, Deborah Falcone, Agostino Forestiero, Abdul Rehman Javed   +3 more
wiley   +1 more source

Design and Development of a Big Data Platform for Disease Burden Based on the Spark Engine

Computational Intelligence and Neuroscience, Volume 2023, Issue 1, 2023., 2023
Objective. This study attempts to build a big data platform for disease burden that can realize the deep coupling of artificial intelligence and public health. This is a highly open and shared intelligent platform, including big data collection, analysis, and result visualization. Methods.
Chengcheng Li, Jing Gao, Qingwei Pan, Zhihua Zhou, Yue Yang, Shangcheng Zhou, Amandeep Kaur   +6 more
wiley   +1 more source

Discursive Quads: New Kinds of Lexical Co‐occurrence Data With Linguistic Concept Modelling

Transactions of the Philological Society, Volume 120, Issue 3, Page 474-488, November 2022., 2022
Abstract This paper introduces linguistic concept modelling, a new computational approach to humanities‐driven analysis of meaning in large text collections, and presents illustrative examples of the approach applied to over one billion words of printed Early Modern English contained in Early English Books Online (Text Creation Partnership edition ...
Seth Mehl
wiley   +1 more source