Example of International Journal of Signal and Imaging Systems Engineering format
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Example of International Journal of Signal and Imaging Systems Engineering format Example of International Journal of Signal and Imaging Systems Engineering format Example of International Journal of Signal and Imaging Systems Engineering format Example of International Journal of Signal and Imaging Systems Engineering format Example of International Journal of Signal and Imaging Systems Engineering format Example of International Journal of Signal and Imaging Systems Engineering format Example of International Journal of Signal and Imaging Systems Engineering format Example of International Journal of Signal and Imaging Systems Engineering format
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Example of International Journal of Signal and Imaging Systems Engineering format Example of International Journal of Signal and Imaging Systems Engineering format Example of International Journal of Signal and Imaging Systems Engineering format Example of International Journal of Signal and Imaging Systems Engineering format Example of International Journal of Signal and Imaging Systems Engineering format Example of International Journal of Signal and Imaging Systems Engineering format Example of International Journal of Signal and Imaging Systems Engineering format Example of International Journal of Signal and Imaging Systems Engineering format
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This content is only for preview purposes. The original open access content can be found here.
open access Open Access

International Journal of Signal and Imaging Systems Engineering — Template for authors

Categories Rank Trend in last 3 yrs
Electrical and Electronic Engineering #409 of 693 up up by 42 ranks
Control and Systems Engineering #156 of 260 up up by 14 ranks
journal-quality-icon Journal quality:
Medium
calendar-icon Last 4 years overview: 69 Published Papers | 130 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 15/06/2020
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Related Journals

open access Open Access

Springer

Quality:  
High
CiteRatio: 6.6
SJR: 1.392
SNIP: 1.036
open access Open Access

IEEE

Quality:  
High
CiteRatio: 8.2
SJR: 1.23
SNIP: 1.584
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IEEE

Quality:  
High
CiteRatio: 8.9
SJR: 1.19
SNIP: 1.833
open access Open Access

Hindawi

Quality:  
High
CiteRatio: 4.1
SJR: 0.399
SNIP: 1.108

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.

1.9

36% from 2019

CiteRatio for International Journal of Signal and Imaging Systems Engineering from 2016 - 2020
Year Value
2020 1.9
2019 1.4
2018 1.2
2017 0.9
2016 0.7
graph view Graph view
table view Table view

0.231

12% from 2019

SJR for International Journal of Signal and Imaging Systems Engineering from 2016 - 2020
Year Value
2020 0.231
2019 0.263
2018 0.217
2017 0.179
2016 0.208
graph view Graph view
table view Table view

0.539

19% from 2019

SNIP for International Journal of Signal and Imaging Systems Engineering from 2016 - 2020
Year Value
2020 0.539
2019 0.452
2018 0.447
2017 0.41
2016 0.719
graph view Graph view
table view Table view

insights Insights

  • CiteRatio of this journal has increased by 36% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

insights Insights

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

insights Insights

  • SNIP of this journal has increased by 19% in last years.
  • This journal’s SNIP is in the top 10 percentile category.
International Journal of Signal and Imaging Systems Engineering

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Inderscience Publishers

International Journal of Signal and Imaging Systems Engineering

Approved by publishing and review experts on SciSpace, this template is built as per for International Journal of Signal and Imaging Systems Engineering formatting guidelines as mentioned in Inderscience Publishers author instructions. The current version was created on 14 Jun 2020 and has been used by 415 authors to write and format their manuscripts to this journal.

i
Last updated on
14 Jun 2020
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ISSN
1748-0698
i
Impact Factor
Low - 0.418
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)
i
Bibliography Example
Blonder, G. E., Tinkham, M., and Klapwijk, T. M. (1982). ‘Transition from metallic to tunneling regimes in superconducting microconstrictions: Excess current, charge imbalance, and supercurrent conversion’. Phys. Rev. B, Vol 25, No 7, pp.4515–4532.

Top papers written in this journal

Journal Article DOI: 10.1504/IJSISE.2010.034628
X-ray imaging for homeland security

Abstract:

Since 9/11, there has been a growing interest to improve the security both of air travel and of cargo shipping. Visual inspection is the simplest tool and is very efficient when single objects of small size are to be checked. The complexity of inspection increases when we have large 'boxes' and/or when several objects are pac... Since 9/11, there has been a growing interest to improve the security both of air travel and of cargo shipping. Visual inspection is the simplest tool and is very efficient when single objects of small size are to be checked. The complexity of inspection increases when we have large 'boxes' and/or when several objects are packed into a closed space, as in luggage or even in larger volumes like shipping containers or trucks. This paper gives a brief overview of how different X-ray techniques are used for fast checking of small and large objects. read more read less

Topics:

Homeland security (52%)52% related to the paper, Visual inspection (50%)50% related to the paper
92 Citations
Journal Article DOI: 10.1504/IJSISE.2018.10015063
An effective image processing method for detection of diabetic retinopathy diseases from retinal fundus images
Nasr Y. Gharaibeh1, Obaida M. Al-Hazaimeh1, Bassam Al-Naami2, Khalid M.O. Nahar3

Abstract:

Diabetic retinopathy (i.e., DR), is an eye disorder caused by diabetes, diabetic retinopathy detection is an important task in retinal fundus images due the early detection and treatment can potentially reduce the risk of blindness. Retinal fundus images play an important role in diabetic retinopathy through disease diagnosis... Diabetic retinopathy (i.e., DR), is an eye disorder caused by diabetes, diabetic retinopathy detection is an important task in retinal fundus images due the early detection and treatment can potentially reduce the risk of blindness. Retinal fundus images play an important role in diabetic retinopathy through disease diagnosis, disease recognition (i.e., by ophthalmologists), and treatment. The current state-of-the-art techniques are not satisfied with sensitivity and specificity. In fact, there are still other issues to be resolved in state-of-the-art techniques such as performances, accuracy, and easily identify the DR disease effectively. Therefore, this paper proposes an effective image processing method for detection of diabetic retinopathy diseases from retinal fundus images that will satisfy the performance metrics (i.e., sensitivity, specificity, accuracy). The proposed automatic screening system for diabetic retinopathy was conducted in several steps: Pre-processing, optic disc detection and removal, blood vessel segmentation and removal, elimination of fovea, feature extraction (i.e., Micro-aneurysm, retinal hemorrhage, and exudates), feature selection and classification. Finally, a software-based simulation using MATLAB was performed using DIARETDB1 dataset and the obtained results are validated by comparing with expert ophthalmologists. The results of the conducted experiments showed an efficient and effective in sensitivity, specificity and accuracy. read more read less

Topics:

Fundus (eye) (59%)59% related to the paper, Diabetic retinopathy (58%)58% related to the paper, Eye disorder (53%)53% related to the paper
47 Citations
Journal Article DOI: 10.1504/IJSISE.2011.039182
A correlogram algorithm for image indexing and retrieval using wavelet and Rotated Wavelet Filters
M. Subrahmanyam1, Rudra Prakash Maheshwari1, R. Balasubramanian1

Abstract:

In this paper, a new image-indexing algorithm with the combination of wavelet and Rotated Wavelet Correlogram (RWC) is proposed in contrast to the Gabor Wavelet Correlogram (GWC) The 0° and 90° information (sub-band) of image collected from Standard Wavelet Filters (SWFs) and +45° and −45° are collected from Rotated Wavelet F... In this paper, a new image-indexing algorithm with the combination of wavelet and Rotated Wavelet Correlogram (RWC) is proposed in contrast to the Gabor Wavelet Correlogram (GWC) The 0° and 90° information (sub-band) of image collected from Standard Wavelet Filters (SWFs) and +45° and −45° are collected from Rotated Wavelet Filters (RWFs) and further used for correlogram feature calculation The data handling with proposed method is very less compared with GWC therefore this method is six times faster than the GWC, which make it suitable for online application The retrieval results of the proposed method are tested on three different databases, ie, Corel 1000 (DB1) natural image database, MIT VisTex (DB2) texture image database and Corel 2450 (DB3) natural image database The results after being investigated show a significant improvement in terms of their evaluation measures as compared with most of existing techniques on respective databases read more read less

Topics:

Stationary wavelet transform (61%)61% related to the paper, Gabor wavelet (59%)59% related to the paper, Wavelet (59%)59% related to the paper, Content-based image retrieval (57%)57% related to the paper, Correlogram (57%)57% related to the paper
43 Citations
Journal Article DOI: 10.1504/IJSISE.2019.10022417
Echocardiography image segmentation using feed forward artificial neural network (FFANN) with fuzzy multi-scale edge detection (FMED)
P. Mohamed Shakeel1, S. Baskar2, R. Sampath, Mustafa Musa Jaber3

Abstract:

In the recent past Echocardiography image segmentation is one of the significant process describes about the segment out inner and outer walls or other parts of the organ boundaries. However, this kind of segmentation process is one of the difficult for physicians because of inexperience or subject specialists with the previo... In the recent past Echocardiography image segmentation is one of the significant process describes about the segment out inner and outer walls or other parts of the organ boundaries. However, this kind of segmentation process is one of the difficult for physicians because of inexperience or subject specialists with the previous cases. To enhance the cardiac image segmentation accuracy and to minimise the segmentation time a machine learning method such as neural networks has been proposed in the segmentation process. In this research, feed forward artificial neural network (FFANN) has been utilised and fuzzy multi-scale edge detection (FMED) process has been applied to detect the segmented edges to define the detected texture boundary with the help of FFANN weights. An experimental result shows an efficient learning capacity of FFANN and this work deals with the segmentation of ultrasound images using MATLAB implementation. read more read less

Topics:

Image segmentation (65%)65% related to the paper, Segmentation (55%)55% related to the paper, Edge detection (52%)52% related to the paper, Artificial neural network (52%)52% related to the paper
36 Citations
Journal Article DOI: 10.1504/IJSISE.2012.046745
Toward a more complete electrodynamic theory
Lee M. Hively1, George C. Giakos2

Abstract:

Maxwell’s equations require a gauge condition for specific solutions. This incompleteness motivates use of a dynamical quantity,

Topics:

Gauge theory (64%)64% related to the paper, Classical electromagnetism (61%)61% related to the paper, Electromagnetism (58%)58% related to the paper, Electromagnetics (56%)56% related to the paper, Scalar field (53%)53% related to the paper
30 Citations
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Frequently asked questions

1. Can I write International Journal of Signal and Imaging Systems Engineering in LaTeX?

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2. Do you follow the International Journal of Signal and Imaging Systems Engineering guidelines?

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3. Can I cite my article in multiple styles in International Journal of Signal and Imaging Systems Engineering?

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 Signal and Imaging Systems Engineering citation style.

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5. Can I use a manuscript in International Journal of Signal and Imaging Systems Engineering that I have written in MS Word?

Yes. You can choose the right template, copy-paste the contents from the word document, and click on auto-format. Once you're done, you'll have a publish-ready paper International Journal of Signal and Imaging Systems Engineering that you can download at the end.

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12. Is International Journal of Signal and Imaging Systems Engineering's impact factor high enough that I should try publishing my article there?

To be honest, the answer is no. The impact factor is one of the many elements that determine the quality of a journal. Few of these factors include review board, rejection rates, frequency of inclusion in indexes, and Eigenfactor. You need to assess all these factors before you make your final call.

13. What is Sherpa RoMEO Archiving Policy for International Journal of Signal and Imaging Systems Engineering?

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 Signal and Imaging Systems Engineering. 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 Signal and Imaging Systems Engineering?

The 5 most common citation types in order of usage for International Journal of Signal and Imaging Systems Engineering 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 Signal and Imaging Systems Engineering 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 Signal and Imaging Systems Engineering Endnote style according to Elsevier guidelines.

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