Applied Intelligence
Overview
Applied Intelligence is a peer-reviewed journal that focuses on the practical applications of artificial intelligence and machine learning. It covers a wide range of topics including data mining, pattern recognition, and intelligent systems. The journal aims to bridge the gap between theory and practice, providing valuable insights and innovative solutions for real-world problems.
Details
Details
Abbr.
Appl Intell (Dordr)
Start
1991
End
Continuing
Frequency
12 issues per year, 2018-
p-ISSN
0924-669X
e-ISSN
1573-7497
Country
Netherlands
Language
English
Metrics
Metrics
h-index / Ranks: 3387
95
SJR / Ranks: 2856
1193
CiteScore / Ranks: 2975
6.90
JIF / Ranks: 1433
5.3
Recent Articles
1.
Hou X, Bergmann J
Appl Intell (Dordr)
. 2025 Mar;
55(6):494.
PMID: 40041121
Inertial navigation is advancing rapidly due to improvements in sensor technology and tracking algorithms, with consumer-grade inertial measurement units (IMUs) becoming increasingly compact and affordable. Despite progress in pedestrian dead...
2.
Butt C, Gill J, Chun D, Babu B
Appl Intell (Dordr)
. 2024 Apr;
53(4):4874.
PMID: 38624372
No abstract available.
3.
Pereira R, Fuggitti F, Meneguzzi F, De Giacomo G
Appl Intell (Dordr)
. 2024 Jan;
54(1):470-489.
PMID: 38225993
is the task of discerning the intended goal that an agent aims to achieve, given a set of goal hypotheses, a domain model, and a sequence of observations (i.e., a...
4.
Merkurjev E, Nguyen D, Wei G
Appl Intell (Dordr)
. 2023 Nov;
53(12):15727-15746.
PMID: 38031564
Machine learning has greatly influenced many fields, including science. However, despite of the tremendous accomplishments of machine learning, one of the key limitations of most existing machine learning approaches is...
5.
Punetha N, Jain G
Appl Intell (Dordr)
. 2023 Jun;
:1-22.
PMID: 37363390
Sentiment Analysis is a method to identify, extract, and quantify people's feelings, opinions, or attitudes. The wealth of online data motivates organizations to keep tabs on customers' opinions and feelings...
6.
Chen Y, Zhang X, Li D, Park H, Li X, Liu P, et al.
Appl Intell (Dordr)
. 2023 Jun;
:1-16.
PMID: 37363389
Deep learning has been widely considered in medical image segmentation. However, the difficulty of acquiring medical images and labels can affect the accuracy of the segmentation results for deep learning...
7.
Shi T, Yang W, Qi A, Li P, Qiao J
Appl Intell (Dordr)
. 2023 Jun;
:1-15.
PMID: 37363388
Long time exposure to indoor air pollution environments can increase the risk of cardiovascular and respiratory system damage. Most previous studies focus on outdoor air quality, while few studies on...
8.
Jiang J, Chen X, Huang Z, Li X, Du Y
Appl Intell (Dordr)
. 2023 Jun;
:1-18.
PMID: 37363387
Spreading malicious rumors on social networks such as Facebook, Twitter, and WeChat can trigger political conflicts, sway public opinion, and cause social disruption. A rumor can spread rapidly across a...
9.
Li S, Wang J, Zhang H, Liang Y
Appl Intell (Dordr)
. 2023 Jun;
:1-35.
PMID: 37363386
Short-term electricity load forecasting is critical and challenging for scheduling operations and production planning in modern power management systems due to stochastic characteristics of electricity load data. Current forecasting models...
10.
Caccavale R, Ermini M, Fedeli E, Finzi A, Lippiello V, Tavano F
Appl Intell (Dordr)
. 2023 Jun;
:1-19.
PMID: 37363385
Sanitizing railway stations is a relevant issue, primarily due to the recent evolution of the Covid-19 pandemic. In this work, we propose a multi-robot approach to sanitize railway stations based...