Engineering Applications of Artificial Intelligence
Overview
'Engineering Applications of Artificial Intelligence' is a peer-reviewed journal that focuses on the practical applications of artificial intelligence (AI) in various engineering fields. It covers topics such as machine learning, data mining, robotics, computer vision, and expert systems, providing insights into how AI can enhance engineering processes, improve efficiency, and solve complex problems. The journal serves as a valuable resource for researchers, engineers, and practitioners seeking to explore the intersection of AI and engineering.
Details
Details
Abbr.
Eng Appl Artif Intell
Start
1988
End
Continuing
Frequency
Eight issues per year, 2003-
p-ISSN
0952-1976
Country
United Kingdom
Language
English
Metrics
Metrics
h-index / Ranks: 1719
137
SJR / Ranks: 1497
1749
CiteScore / Ranks: 901
12.30
JIF / Ranks: 681
8.0
Recent Articles
1.
Zhang S, Penkova A, Jia X, Sebag J, Sadhal S
Eng Appl Artif Intell
. 2024 Oct;
138(Pt A).
PMID: 39398231
As the medium for intravitreal drug delivery, the vitreous body can significantly influence drug delivery because of various possible liquefaction geometries. This work innovatively proposes a varying-porosity approach that is...
2.
Liyanarachchi R, Wijekoon J, Premathilaka M, Vidhanaarachchi S
Eng Appl Artif Intell
. 2024 Apr;
:106709.
PMID: 38620194
The COVID-19 pandemic disrupted regular global activities in every possible way. This pandemic, caused by the transmission of the infectious Coronavirus, is characterized by main symptoms such as fever, fatigue,...
3.
Li G, Lu J, Chen K, Yang H
Eng Appl Artif Intell
. 2024 Apr;
:106692.
PMID: 38620125
With the emergence of new mutant corona virus disease 2019 (COVID-19) strains such as Delta and Omicron, the number of infected people in various countries has reached a new high....
4.
Jeon E, Choi H, Shukla A, Wang Y, Lee H, Buman M, et al.
Eng Appl Artif Intell
. 2024 Jan;
130.
PMID: 38282698
Deep learning methods have achieved a lot of success in various applications involving converting wearable sensor data to actionable health insights. A common application areas is activity recognition, where deep-learning...
5.
Chang T, Huang C, Weng C, Chen J
Eng Appl Artif Intell
. 2023 Jun;
124:106644.
PMID: 37366394
In this study, we integrate deep neural network (DNN) with hybrid approaches (feature selection and instance clustering) to build prediction models for predicting mortality risk in patients with COVID-19. Besides,...
6.
Navaei A, Taleizadeh A, Goodarzian F
Eng Appl Artif Intell
. 2023 Jun;
124:106585.
PMID: 37362906
The advent of COVID-19 put much economic pressure on countries worldwide, especially low-income countries. Providing test kits for Covid-19 posed a huge challenge at the beginning of the pandemic. Especially...
7.
Abir F, Chowdhury M, Tapotee M, Mushtak A, Khandakar A, Mahmud S, et al.
Eng Appl Artif Intell
. 2023 Apr;
122:106130.
PMID: 37006447
The world is slowly recovering from the Coronavirus disease 2019 (COVID-19) pandemic; however, humanity has experienced one of its According to work by Mishra et al. (2020), the study's first...
8.
Zhou L, Zhao C, Liu N, Yao X, Cheng Z
Eng Appl Artif Intell
. 2023 Mar;
122:106157.
PMID: 36968247
Individuals in any country are badly impacted both economically and physically whenever an epidemic of infectious illnesses breaks out. A novel coronavirus strain was responsible for the outbreak of the...
9.
Pamucar D, Puska A, Simic V, Stojanovic I, Deveci M
Eng Appl Artif Intell
. 2023 Mar;
121:106025.
PMID: 36908983
The COVID-19 pandemic led to an increase in healthcare waste (HCW). HCW management treatment needs to be re-taken into focus to deal with this challenge. In practice, there are several...
10.
Mosallanezhad B, Gholian-Jouybari F, Cardenas-Barron L, Hajiaghaei-Keshteli M
Eng Appl Artif Intell
. 2023 Jan;
120:105903.
PMID: 36712822
Supply chains have been impacted by the COVID-19 pandemic, which is the most recent worldwide disaster. After the world health organization recognized the latest phenomena as a pandemic, nations became...