» Journals » Comput Ind

Computers in Industry

'Computers in Industry' is a reputable journal that focuses on the application of computer technology in various industrial sectors. It covers topics such as manufacturing, logistics, supply chain management, automation, and data analytics. The journal provides valuable insights into the latest advancements, case studies, and research findings, making it an essential resource for professionals, researchers, and academics in the field of industrial computing.

Details
Abbr. Comput Ind
Publisher Elsevier
Start 1979
End Continuing
Frequency 9 issues a year, 1998-
p-ISSN 0166-3615
e-ISSN 1872-6194
Country United States
Language English
Metrics
h-index / Ranks: 1957 129
SJR / Ranks: 847 2453
CiteScore / Ranks: 304 21.10
JIF / Ranks: 457 10.0
Recent Articles
1.
Bang S, Ak R, Narayanan A, Lee Y, Cho H
Comput Ind . 2024 Oct; 104. PMID: 39440000
Data analytics techniques have been used for numerous manufacturing applications in various areas. A common assumption of data analytics models is that the environment that generates data is stationary, that...
2.
Breiner S, Jones A, Subrahmanian E
Comput Ind . 2020 Oct; 112. PMID: 33100440
Process plans provide a structure for 1) identifying the tasks involved in a given process, 2) the resources needed to accomplish them, and 3) a variety of relationships and constraints...
3.
Sood S, Mahajan I
Comput Ind . 2020 Apr; 91:33-44. PMID: 32287550
Chikungunya is a vector borne disease that spreads quickly in geographically affected areas. Its outbreak results in acute illness that may lead to chronic phase. Chikungunya virus (CHV) diagnosis solutions...
4.
Bosilj P, Duckett T, Cielniak G
Comput Ind . 2018 Jul; 98:226-240. PMID: 29997405
Discriminating value crops from weeds is an important task in precision agriculture. In this paper, we propose a novel image processing pipeline based on attribute morphology for both the segmentation...
5.
Zhang W, Hansen M, Smith M, Smith L, Grieve B
Comput Ind . 2018 Jul; 98:56-67. PMID: 29997404
Leaf venation extraction studies have been strongly discouraged by considerable challenges posed by venation architectures that are complex, diverse and subtle. Additionally, unpredictable local leaf curvatures, undesirable ambient illuminations, and...
6.
Hansen M, Smith M, Smith L, Abdul Jabbar K, Forbes D
Comput Ind . 2018 Jul; 98:14-22. PMID: 29997403
Here we propose a low-cost automated system for the unobtrusive and continuous welfare monitoring of dairy cattle on the farm. We argue that effective and regular monitoring of multiple condition...
7.
Smith L, Zhang W, Hansen M, Hales I, Smith M
Comput Ind . 2018 Jul; 97:122-131. PMID: 29997402
Machine vision systems offer great potential for automating crop control, harvesting, fruit picking, and a range of other agricultural tasks. However, most of the reported research on machine vision in...