|
|
|
|
|
Kang-Ren Leow, Meng-Chew Leow and Lee-Yeng Ong
The Online Roadshow, a new type of web application, is a digital marketing approach that aims to maximize contactless business engagement. It leverages web computing to conduct interactive game sessions via the internet. As a result, massive amounts of p...
ver más
|
|
|
|
|
|
|
|
|
|
|
Theofanis P. Raptis, Claudio Cicconetti, Manolis Falelakis, Grigorios Kalogiannis, Tassos Kanellos and Tomás Pariente Lobo
In terms of the calibre and variety of services offered to end users, smart city management is undergoing a dramatic transformation. The parties involved in delivering pervasive applications can now solve key issues in the big data value chain, including...
ver más
|
|
|
|
|
|
|
|
|
|
|
João Pedro Vitorino, José Simão, Nuno Datia and Matilde Pato
This paper presents IRONEDGE, an architectural framework that can be used in different edge Stream Processing solutions for ?Smart Infrastructure? scenarios, on a case-by-case basis. The architectural framework identifies the common components that any s...
ver más
|
|
|
|
|
|
|
|
|
|
|
Dauren Ayazbayev, Andrey Bogdanchikov, Kamila Orynbekova and Iraklis Varlamis
This work focuses on determining semantically close words and using semantic similarity in general in order to improve performance in information retrieval tasks. The semantic similarity of words is an important task with many applications from informati...
ver más
|
|
|
|
|
|
|
|
|
|
|
Massimiliano Greco, Pier Francesco Caruso, Sofia Spano, Gianluigi Citterio, Antonio Desai, Alberto Molteni, Romina Aceto, Elena Costantini, Antonio Voza and Maurizio Cecconi
Background: Sepsis is one of the major causes of in-hospital death, and is frequent in patients presenting to the emergency department (ED). Early identification of high-risk septic patients is critical. Machine learning (ML) techniques have been propose...
ver más
|
|
|
|
|
|
|
|
|
|
|
Dohoon Lee, David Camacho and Jason J. Jung
Many vehicles are connected to the Internet, and big data are continually created. Various studies have been conducted involving the development of artificial intelligence, machine learning technology, and big data frameworks. The analysis of smart mobil...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jai Prakash Verma, Shir Bhargav, Madhuri Bhavsar, Pronaya Bhattacharya, Ali Bostani, Subrata Chowdhury, Julian Webber and Abolfazl Mehbodniya
The recent advancements in big data and natural language processing (NLP) have necessitated proficient text mining (TM) schemes that can interpret and analyze voluminous textual data. Text summarization (TS) acts as an essential pillar within recommendat...
ver más
|
|
|
|
|
|
|
|
|
|
|
Abu Shad Ahammed, Aniebiet Micheal Ezekiel and Roman Obermaisser
During an emergency rescue operation, rescuers have to deal with many different health complications like cardiovascular, respiratory, neurological, psychiatric, etc. The identification process of the common health complications in rescue events is not v...
ver más
|
|
|
|
|
|
|
|
|
|
|
P.A Golovnyak,K.S. Zaytsev,A.M. Pinchuk
Pág. 94 - 101
Today there is a significant increase in the number of payments made using plastic cards. Banking organizations are forced to analyze huge amounts of data in their work, and therefore software products for processing big data are being put into operation...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jamil Al-Sawwa and Mohammad Almseidin
With the rapid development of internet technology, the amount of collected or generated data has increased exponentially. The sheer volume, complexity, and unbalanced nature of this data pose a challenge to the scientific community to extract meaningful ...
ver más
|
|
|
|
|
|