Results 51 to 60 of about 1,379,083 (303)

Multimedia big data computing for in-depth event analysis [PDF]

, 2015
While the most part of ”big data” systems target text-based analytics, multimedia data, which makes up about 2/3 of internet traffic, provide unprecedented opportunities for understanding and responding to real world situations and challenges ...
Ayguadé Parra, Eduard, Torres Viñals, Jordi, Tous Liesa, Rubén   +2 more
core   +1 more source

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
doaj   +1 more source

Innovations in Genomics and Big Data Analytics for Personalized Medicine and Health Care: A Review

International Journal of Molecular Sciences, 2022
Big data in health care is a fast-growing field and a new paradigm that is transforming case-based studies to large-scale, data-driven research. As big data is dependent on the advancement of new data standards, technology, and relevant research, the ...
Mubashir Hassan, F. Awan, Anam Naz, Enrique J. deAndrés-Galiana, Óscar Álvarez, A. Cernea, Lucas Fernández-Brillet, J. Fernández-Martínez, A. Kloczkowski   +8 more
semanticscholar   +1 more source

An Attentive Aspect-Based Recommendation Model With Deep Neural Network

IEEE Access
With the growth of the internet and e-commerce, online reviews have become a prevalent and rich source of information for personalized recommendations.
Sigeon Yang, Qinglong Li, Haebin Lim, Jaekyeong Kim   +3 more
doaj   +1 more source

Equipping Seasonal Exponential Smoothing Models with Particle Swarm Optimization Algorithm for Electricity Consumption Forecasting

Energies, 2021
Electricity consumption forecasting plays an important role in investment planning of electricity infrastructure, and in electricity production/generation and distribution.
Changrui Deng, Xiaoyuan Zhang, Yanmei Huang, Yukun Bao   +3 more
doaj   +1 more source

Enhancing Digital Health Services with Big Data Analytics

Big Data and Cognitive Computing, 2023
Medicine is constantly generating new imaging data, including data from basic research, clinical research, and epidemiology, from health administration and insurance organizations, public health services, and non-conventional data sources such as social ...
Nisrine Berros, Fatna El Mendili, Youness Filaly, Y. Idrissi   +3 more
semanticscholar   +1 more source

Big Data Analytics for Smart Cities: The H2020 CLASS Project [PDF]

, 2018
Applying big-data technologies to field applications has resulted in several new needs. First, processing data across a compute continuum spanning from cloud to edge to devices, with varying capacity, architecture etc.
Bertogna, Marko, Chiantore, Luca, Ferrer, Ana J., Hadad, Erez, Quiñones, Eduardo, Reboa, Alfredo   +5 more
core   +1 more source

Recurrent Neural-Based Vehicle Demand Forecasting and Relocation Optimization for Car-Sharing System: A Real Use Case in Thailand

Journal of Advanced Transportation, 2021
A car-sharing system has been playing an important role as an alternative transport mode in order to avoid traffic congestion and pollution due to a quick growth of usage of private cars. In this paper, we propose a novel vehicle relocation system with a
Peerapon Vateekul, Panyawut Sri-iesaranusorn, Pawit Aiemvaravutigul, Adsadawut Chanakitkarnchok, Kultida Rojviboonchai   +4 more
doaj   +1 more source

Big data Analytics

International Journal for Research in Applied Science and Engineering Technology
In the information era, enormous amounts of data have become available on hand to decision makers. Big data refers to datasets that are not only big, but also high in variety and velocity, which makes them difficult to handle using traditional tools and techniques. Due to the rapid growth of such data, solutions need to be studied and provided in order
V. Pushpalatha, H N Mahendra, Shoaib Kamal, S. Mallikarjunaswamy   +3 more
  +7 more sources

Recommendation system with minimized transaction data

Data Science and Management, 2021
This paper deals with the recommendation system in the so-called user-centric payment environment where users, i.e., the payers, can make payments without providing self-information to merchants.
Yujeong Hwangbo, Kyoung Jun Lee, Baek Jeong, Kyung Yang Park   +3 more
doaj   +1 more source