Example of International Journal of Intelligent Systems Technologies and Applications format
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Example of International Journal of Intelligent Systems Technologies and Applications format Example of International Journal of Intelligent Systems Technologies and Applications format Example of International Journal of Intelligent Systems Technologies and Applications format Example of International Journal of Intelligent Systems Technologies and Applications format Example of International Journal of Intelligent Systems Technologies and Applications format Example of International Journal of Intelligent Systems Technologies and Applications format Example of International Journal of Intelligent Systems Technologies and Applications format Example of International Journal of Intelligent Systems Technologies and Applications format Example of International Journal of Intelligent Systems Technologies and Applications format Example of International Journal of Intelligent Systems Technologies and Applications format Example of International Journal of Intelligent Systems Technologies and Applications format Example of International Journal of Intelligent Systems Technologies and Applications format
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Example of International Journal of Intelligent Systems Technologies and Applications format Example of International Journal of Intelligent Systems Technologies and Applications format Example of International Journal of Intelligent Systems Technologies and Applications format Example of International Journal of Intelligent Systems Technologies and Applications format Example of International Journal of Intelligent Systems Technologies and Applications format Example of International Journal of Intelligent Systems Technologies and Applications format Example of International Journal of Intelligent Systems Technologies and Applications format Example of International Journal of Intelligent Systems Technologies and Applications format Example of International Journal of Intelligent Systems Technologies and Applications format Example of International Journal of Intelligent Systems Technologies and Applications format Example of International Journal of Intelligent Systems Technologies and Applications format Example of International Journal of Intelligent Systems Technologies and Applications format
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open access Open Access

International Journal of Intelligent Systems Technologies and Applications — Template for authors

Categories Rank Trend in last 3 yrs
Computer Science (all) #176 of 226 down down by 19 ranks
journal-quality-icon Journal quality:
Low
calendar-icon Last 4 years overview: 117 Published Papers | 101 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 03/06/2020
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Journal Performance & Insights

CiteRatio

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

A measure of average citations received per peer-reviewed paper published in the journal.

Measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

Measures actual citations received relative to citations expected for the journal's category.

0.9

CiteRatio for International Journal of Intelligent Systems Technologies and Applications from 2016 - 2020
Year Value
2020 0.9
2019 0.9
2018 0.9
2017 0.7
2016 0.7
graph view Graph view
table view Table view

0.156

18% from 2019

SJR for International Journal of Intelligent Systems Technologies and Applications from 2016 - 2020
Year Value
2020 0.156
2019 0.132
2018 0.21
2017 0.152
2016 0.134
graph view Graph view
table view Table view

0.37

12% from 2019

SNIP for International Journal of Intelligent Systems Technologies and Applications from 2016 - 2020
Year Value
2020 0.37
2019 0.421
2018 0.475
2017 0.433
2016 0.426
graph view Graph view
table view Table view

insights Insights

  • This journal’s CiteRatio is in the top 10 percentile category.

insights Insights

  • SJR of this journal has increased by 18% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has decreased by 12% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

International Journal of Intelligent Systems Technologies and Applications

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Inderscience Publishers

International Journal of Intelligent Systems Technologies and Applications

Approved by publishing and review experts on SciSpace, this template is built as per for International Journal of Intelligent Systems Technologies and Applications formatting guidelines as mentioned in Inderscience Publishers author instructions. The current version was created on 03 Jun 2020 and has been used by 136 authors to write and format their manuscripts to this journal.

i
Last updated on
03 Jun 2020
i
ISSN
1740-8865
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Impact Factor
Medium - 0.98
i
Open Access
No
i
Sherpa RoMEO Archiving Policy
Yellow faq
i
Plagiarism Check
Available via Turnitin
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Endnote Style
Download Available
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Bibliography Name
plainnat
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Citation Type
Author Year
(Blonder et al., 1982)
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Bibliography Example
Beenakker, C. W. J. (2006). ‘Specular Andreev Reflection in Graphene’. Phys. Rev. Lett., Vol 97, No 6, pp. 067007.

Top papers written in this journal

Journal Article DOI: 10.1504/IJISTA.2008.021296
Gesture recognition with a Time-Of-Flight camera
Eva Kollorz1, Jochen Penne1, Joachim Hornegger1, Alexander Barke2

Abstract:

This paper presents a new approach for gesture classification using x- and y- projections of the image and optional depth features. The system uses a 3D Time-Of-Flight (TOF) sensor which has the big advantage of simplifying hand segmentation. For the presented system, a Photonic-Mixer-Device (PMD) camera with a resolution of ... This paper presents a new approach for gesture classification using x- and y- projections of the image and optional depth features. The system uses a 3D Time-Of-Flight (TOF) sensor which has the big advantage of simplifying hand segmentation. For the presented system, a Photonic-Mixer-Device (PMD) camera with a resolution of 160 × 120 pixels and a frame rate of 15 frames per second is used. The goal of our system is to recognise 12 different static hand gestures. The x- and y- projections and the depth features of the captured image are good enough to use a simple nearest neighbour classifier, resulting in a fast classification. To evaluate the system, a set of 408 images is recorded, 12 gestures from 34 persons. With a 'Leave-One-Out' evaluation, the recognition rate of the system is 94.61% and the classification time is about 30 msec on a standard PC. read more read less

Topics:

Gesture recognition (62%)62% related to the paper, Time-of-flight camera (58%)58% related to the paper, Frame rate (53%)53% related to the paper, Pixel (52%)52% related to the paper
167 Citations
open accessOpen access Journal Article DOI: 10.1504/IJISTA.2008.021305
Fusion of stereo vision and Time-Of-Flight imaging for improved 3D estimation
Sigurjon Arni Gudmundsson1, Henrik Aanæs1, Rasmus Larsen1

Abstract:

This paper suggests an approach in fusing two 3D estimation techniques: stereo vision and Time-Of-Flight (TOF) imaging. By mapping the TOF-depth measurements to stereo disparities, the correspondence between the images from a fast TOF-camera and standard high resolution camera pair are found, so the TOF depth measurements can... This paper suggests an approach in fusing two 3D estimation techniques: stereo vision and Time-Of-Flight (TOF) imaging. By mapping the TOF-depth measurements to stereo disparities, the correspondence between the images from a fast TOF-camera and standard high resolution camera pair are found, so the TOF depth measurements can be linked to the image pairs. In the same framework, a method is developed to initialise and constrain a hierarchical stereo matching algorithm. It is shown that in this way, higher spatial resolution is obtained than by only using the TOF camera and higher quality dense stereo disparity maps are the results of this data fusion. read more read less

Topics:

Stereo camera (71%)71% related to the paper, Computer stereo vision (69%)69% related to the paper, Stereo cameras (66%)66% related to the paper, Time-of-flight camera (58%)58% related to the paper, Stereopsis (54%)54% related to the paper
View PDF
138 Citations
Journal Article DOI: 10.1504/IJISTA.2009.025105
Stream processing for fast and efficient rotated Haar-like features using rotated integral images
Chris Messom1, Andre L. C. Barczak1

Abstract:

An extended set of Haar-like features for image sensors beyond the standard vertically and horizontally aligned Haar-like features and the 45° twisted Haar-like features are introduced. The extended rotated Haar-like features are based on the standard Haar-like features that have been rotated based on whole integer pixel-base... An extended set of Haar-like features for image sensors beyond the standard vertically and horizontally aligned Haar-like features and the 45° twisted Haar-like features are introduced. The extended rotated Haar-like features are based on the standard Haar-like features that have been rotated based on whole integer pixel-based rotations. These rotated feature values can also be calculated using rotated integral images which mean that they can be fast and efficiently calculated with just eight operations irrespective of the feature size. The integral image calculations can be offloaded to the graphical processing unit (GPU) using the stream processing paradigm. The integral image calculation on the GPU is seen to be faster than the traditional central processing unit implementation of the algorithm, for large image sizes, allowing more complex classifiers to be implemented in real-time. read more read less

Topics:

Image processing (59%)59% related to the paper, Haar-like features (56%)56% related to the paper, Feature (computer vision) (56%)56% related to the paper
82 Citations
Journal Article DOI: 10.1504/IJISTA.2008.021298
Pose estimation and map building with a Time-Of-Flight-camera for robot navigation
A. Prusak1, O. Melnychuk1, Hubert Roth1, Ingo Schiller2, Reinhard Koch2

Abstract:

In this paper, we describe a joint approach for robot navigation with collision avoidance, pose estimation and map building with a 2.5D Photonic Mixer Device (PMD)-camera combined with a high-resolution spherical camera. The cameras are mounted at the front of the robot with a certain inclination angle. The navigation and map... In this paper, we describe a joint approach for robot navigation with collision avoidance, pose estimation and map building with a 2.5D Photonic Mixer Device (PMD)-camera combined with a high-resolution spherical camera. The cameras are mounted at the front of the robot with a certain inclination angle. The navigation and map building consists of two steps: when entering new terrain the robot first scans the surrounding. Simultaneously a 3D-panorama is generated from the PMD-images. In the second step, the robot moves along the pre-defined path, using the PMD-camera for collision avoidance and a combined Structure-from-Motion (SfM) and model-tracking approach for self-localisation. The computed poses of the robot are simultaneously used for map building with new measurements from the PMD-camera. read more read less

Topics:

Mobile robot navigation (73%)73% related to the paper, Robot calibration (62%)62% related to the paper, Pose (56%)56% related to the paper, Robot (53%)53% related to the paper, Time-of-flight camera (53%)53% related to the paper
78 Citations
Journal Article DOI: 10.1504/IJISTA.2008.021288
On-the-fly scene acquisition with a handy multi-sensor system
Benjamin Huhle1, Philipp Jenke1, Wolfgang Strasser1

Abstract:

We present a scene acquisition system which allows for fast and simple acquisition of arbitrarily large 3D environments. We propose a small device which acquires and processes frames consisting of depth and colour information at interactive rates. This allows the operator to control the acquisition process on the fly. However... We present a scene acquisition system which allows for fast and simple acquisition of arbitrarily large 3D environments. We propose a small device which acquires and processes frames consisting of depth and colour information at interactive rates. This allows the operator to control the acquisition process on the fly. However, no user input or prior knowledge of the scene is required. In each step of the processing, pipeline colour and depth data are used in combination in order to gain from different strengths of the sensors. A novel registration method is introduced that combines geometry and colour information for enhanced robustness and precision. We evaluate the performance of the system and present results from acquisition in different environments. read more read less

Topics:

Robustness (computer science) (50%)50% related to the paper
71 Citations
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Frequently asked questions

1. Can I write International Journal of Intelligent Systems Technologies and Applications in LaTeX?

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Yes, the template is compliant with the International Journal of Intelligent Systems Technologies and Applications guidelines. Our experts at SciSpace ensure that. If there are any changes to the journal's guidelines, we'll change our algorithm accordingly.

3. Can I cite my article in multiple styles in International Journal of Intelligent Systems Technologies and Applications?

Of course! We support all the top citation styles, such as APA style, MLA style, Vancouver style, Harvard style, and Chicago style. For example, when you write your paper and hit autoformat, our system will automatically update your article as per the International Journal of Intelligent Systems Technologies and Applications citation style.

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12. Is International Journal of Intelligent Systems Technologies and Applications's impact factor high enough that I should try publishing my article there?

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13. What is Sherpa RoMEO Archiving Policy for International Journal of Intelligent Systems Technologies and Applications?

SHERPA/RoMEO Database

We extracted this data from Sherpa Romeo to help researchers understand the access level of this journal in accordance with the Sherpa Romeo Archiving Policy for International Journal of Intelligent Systems Technologies and Applications. The table below indicates the level of access a journal has as per Sherpa Romeo's archiving policy.

RoMEO Colour Archiving policy
Green Can archive pre-print and post-print or publisher's version/PDF
Blue Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow Can archive pre-print (ie pre-refereeing)
White Archiving not formally supported
FYI:
  1. Pre-prints as being the version of the paper before peer review and
  2. Post-prints as being the version of the paper after peer-review, with revisions having been made.

14. What are the most common citation types In International Journal of Intelligent Systems Technologies and Applications?

The 5 most common citation types in order of usage for International Journal of Intelligent Systems Technologies and Applications are:.

S. No. Citation Style Type
1. Author Year
2. Numbered
3. Numbered (Superscripted)
4. Author Year (Cited Pages)
5. Footnote

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16. Can I download International Journal of Intelligent Systems Technologies and Applications in Endnote format?

Yes, SciSpace provides this functionality. After signing up, you would need to import your existing references from Word or Bib file to SciSpace. Then SciSpace would allow you to download your references in International Journal of Intelligent Systems Technologies and Applications Endnote style according to Elsevier guidelines.

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