Results 11 to 20 of about 30,851 (169)

A Survey of Big Data Analytics

International Journal of Information Sciences and Techniques, 2016
Due to the arrival of new technologies, devices, and communication means, the amount of data produced by mankind is growing rapidly every year. This gives rise to the era of big data. The term big data comes with the new challenges to input, process and output the data.
Nirali Honest, Atul Patel
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Big data analytics: a survey [PDF]

Journal of Big Data, 2015
The age of big data is now coming. But the traditional data analytics may not be able to handle such large quantities of data. The question that arises now is, how to develop a high performance platform to efficiently analyze big data and how to design an appropriate mining algorithm to find the useful things from big data.
Chun-Wei Tsai, Chin-Feng Lai, Han-Chieh Chao, Athanasios V. Vasilakos   +3 more
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Big Data Analytics in Healthcare [PDF]

BioMed Research International, 2015
The rapidly expanding field of big data analytics has started to play a pivotal role in the evolution of healthcare practices and research. It has provided tools to accumulate, manage, analyze, and assimilate large volumes of disparate, structured, and unstructured data produced by current healthcare systems.
Ashwin Belle, Raghuram Thiagarajan, S. M. Reza Soroushmehr, Fatemeh Navidi, Daniel A. Beard, Kayvan Najarian   +5 more
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Association between plant-based dietary pattern and biological aging trajectory in a large prospective cohort

BMC Medicine, 2023
Background Aging is a dynamic and heterogeneous process that may better be captured by trajectories of aging biomarkers. Biological age has been advocated as a better biomarker of aging than chronological age, and plant-based dietary patterns have been ...
Sicong Wang, Wenyuan Li, Shu Li, Huakang Tu, Junlin Jia, Wenting Zhao, Andi Xu, Wenxin Xu, Min Kuang Tsai, David Ta-Wei Chu, Chi Pang Wen, Xifeng Wu   +11 more
doaj   +1 more source

Lifelong Machine Learning and root cause analysis for large-scale cancer patient data

Journal of Big Data, 2019
Introduction This paper presents a lifelong learning framework which constantly adapts with changing data patterns over time through incremental learning approach.
Gautam Pal, Xianbin Hong, Zhuo Wang, Hongyi Wu, Gangmin Li, Katie Atkinson   +5 more
doaj   +1 more source

Mesh-Free Surrogate Models for Structural Mechanic FEM Simulation: A Comparative Study of Approaches

Applied Sciences, 2021
The technical world of today fundamentally relies on structural analysis in the form of design and structural mechanic simulations. A traditional and robust simulation method is the physics-based finite element method (FEM) simulation. FEM simulations in
Johannes G. Hoffer, Bernhard C. Geiger, Patrick Ofner, Roman Kern   +3 more
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Developing Personalized Marketing Service Using Generative AI

IEEE Access
In today’s world, the development of social network services (SNS) like Facebook and Instagram has enabled consumers to acquire information about products through various channels.
Gun Ho Lee, Kyoung Jun Lee, Baek Jeong, Taekyung Kim   +3 more
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Fully automatic wound segmentation with deep convolutional neural networks

Scientific Reports, 2020
Acute and chronic wounds have varying etiologies and are an economic burden to healthcare systems around the world. The advanced wound care market is expected to exceed $22 billion by 2024.
Chuanbo Wang, D. M. Anisuzzaman, Victor Williamson, Mrinal Kanti Dhar, Behrouz Rostami, Jeffrey Niezgoda, Sandeep Gopalakrishnan, Zeyun Yu   +7 more
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RDPNet: A Multi-Scale Residual Dilated Pyramid Network with Entropy-Based Feature Fusion for Epileptic EEG Classification

Entropy
Epilepsy is a prevalent neurological disorder affecting approximately 50 million individuals worldwide. Electroencephalogram (EEG) signals play a vital role in the diagnosis and analysis of epileptic seizures.
Tongle Xie, Wei Zhao, Yanyouyou Liu, Shixiao Xiao   +3 more
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A Semi-Supervised Methodology for Fishing Activity Detection Using the Geometry behind the Trajectory of Multiple Vessels

Sensors, 2022
Automatic Identification System (AIS) messages are useful for tracking vessel activity across oceans worldwide using radio links and satellite transceivers.
Martha Dais Ferreira, Gabriel Spadon, Amilcar Soares, Stan Matwin   +3 more
doaj   +1 more source