scholarly journals A Survey of the Application of Artifical Intellegence on COVID-19 Diagnosis and Prediction

2021 ◽  
Vol 11 (6) ◽  
pp. 7824-7835
Author(s):  
H. Alalawi ◽  
M. Alsuwat ◽  
H. Alhakami
Keyword(s):  
Machine Learning ◽  
State Of The Art ◽  
Future Research ◽  
Classification Algorithms ◽  
Classification Methods ◽  
Research Directions ◽  
The World ◽  
Modern Methods ◽  
Future Research Directions ◽  
Class Labels

The importance of classification algorithms has increased in recent years. Classification is a branch of supervised learning with the goal of predicting class labels categorical of new cases. Additionally, with Coronavirus (COVID-19) propagation since 2019, the world still faces a great challenge in defeating COVID-19 even with modern methods and technologies. This paper gives an overview of classification algorithms to provide the readers with an understanding of the concept of the state-of-the-art classification algorithms and their applications used in the COVID-19 diagnosis and detection. It also describes some of the research published on classification algorithms, the existing gaps in the research, and future research directions. This article encourages both academics and machine learning learners to further strengthen the basis of classification methods.

Incorporating VR, AR, and Related Technologies in the Tourism Industry

2020 ◽  
pp. 211-233
Author(s):  
Sandra Maria Correia Loureiro ◽  
Eduardo Moraes Sarmento ◽  
João Ferreira do Rosário
Keyword(s):  
Augmented Reality ◽  
World Economy ◽  
State Of The Art ◽  
Tourism Industry ◽  
The State ◽  
Future Research ◽  
Research Directions ◽  
The World ◽  
Future Research Directions ◽  
Virtual And Augmented Reality

The chapter exposes the importance of tourism in the world economy, gives an overview of what academic and practitioners are doing regarding the use of engagement-facilitating technologies in tourism, and suggests avenues for further research. Authors give insights about the evolution and important of tourism. The chapter presents an overview of the state of the art on the use of engagement-facilitating technologies (mainly virtual and augmented reality) in research. Examples of applications of engagement-facilitating technologies are given. Authors suggest future research directions and present conclusions.

scholarly journals Social commerce—state-of-the-art and future research directions

2016 ◽  
Vol 26 (3) ◽  
pp. 269-290 ◽  
Author(s):  
Catherine Baethge ◽  
Julia Klier ◽  
Mathias Klier
Keyword(s):  
State Of The Art ◽  
Future Research ◽  
Social Commerce ◽  
Research Directions ◽  
Future Research Directions

scholarly journals Nine Years of Mobile Healthcare Research: A Bibliometric Analysis

2021 ◽  
Vol 17 (10) ◽  
pp. 144
Author(s):  
Javed Ali ◽  
Ahmad Jusoh ◽  
Norhalima Idris ◽  
Alhamzah F. Abbas ◽  
Ahmed H. Alsharif
Keyword(s):  
Citation Analysis ◽  
Healthcare Research ◽  
Future Research ◽  
Central Theme ◽  
Research Directions ◽  
Mobile Healthcare ◽  
The World ◽  
Author Keywords ◽  
Future Research Directions ◽  
Scopus Database

<p class="0abstractCxSpFirst"><span lang="EN-US">Purpose: The purpose of the paper was to explore the central keyword searched (<em>e.g., mobile healthcare</em>). It also aimed at identifying the valuable contributions made by authors, journals, countries, and institutions and their associations in ‘<em>mobile healthcare</em>’ search around the world. </span></p><p class="0abstractCxSpMiddle"><span lang="EN-US">Methodology: Data was extracted from 2012 to 2020 by using Scopus database and analysed through VOSviewer software and MS Excel. PRISMA guidelines were used to screen the records. </span></p><p class="0abstractCxSpMiddle"><span lang="EN-US">Analysis: Co-authorship, Co-occurrence, Bibliographic Coupling and Co-citation analysis were executed to identify the links and collaborations among the authors, countries, author keywords and documents globally. </span></p><p class="0abstractCxSpMiddle"><span lang="EN-US">Findings: Results showed that <em>Yang X</em>. had the highest association with other authors and <em>Sood, S.K.</em> had published more documents than others. <em>Australia</em> was found to have the highest association with other countries, and <em>India</em> was leading other countries in publications. <em>Computers and Electrical Engineering</em> was found to be the leading journal in publication of documents. </span></p><p class="0abstractCxSpLast"><span lang="EN-US">Originality:<em> </em>This study, to best of our knowledge, was the first of its kind in mapping the ‘<em>mobile healthcare</em>’ search which was designed till 2020. This will aid in shaping and understanding the central theme and set the future research directions for the researchers.</span></p>

scholarly journals Beyond Intra-modality: A Survey of Heterogeneous Person Re-identification

2020 ◽  
Author(s):  
Zheng Wang ◽  
Zhixiang Wang ◽  
Yinqiang Zheng ◽  
Yang Wu ◽  
Wenjun Zeng ◽  
...  
Keyword(s):  
Video Analysis ◽  
State Of The Art ◽  
Future Research ◽  
Low Resolution ◽  
Research Directions ◽  
Comprehensive Review ◽  
Practical Applications ◽  
Future Research Directions

An efficient and effective person re-identification (ReID) system relieves the users from painful and boring video watching and accelerates the process of video analysis. Recently, with the explosive demands of practical applications, a lot of research efforts have been dedicated to heterogeneous person re-identification (Hetero-ReID). In this paper, we provide a comprehensive review of state-of-the-art Hetero-ReID methods that address the challenge of inter-modality discrepancies. According to the application scenario, we classify the methods into four categories --- low-resolution, infrared, sketch, and text. We begin with an introduction of ReID, and make a comparison between Homogeneous ReID (Homo-ReID) and Hetero-ReID tasks. Then, we describe and compare existing datasets for performing evaluations, and survey the models that have been widely employed in Hetero-ReID. We also summarize and compare the representative approaches from two perspectives, i.e., the application scenario and the learning pipeline. We conclude by a discussion of some future research directions. Follow-up updates are available at https://github.com/lightChaserX/Awesome-Hetero-reID

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