Example of International Journal of Autonomous and Adaptive Communications Systems format
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Example of International Journal of Autonomous and Adaptive Communications Systems format Example of International Journal of Autonomous and Adaptive Communications Systems format Example of International Journal of Autonomous and Adaptive Communications Systems format Example of International Journal of Autonomous and Adaptive Communications Systems format Example of International Journal of Autonomous and Adaptive Communications Systems format Example of International Journal of Autonomous and Adaptive Communications Systems format Example of International Journal of Autonomous and Adaptive Communications Systems format Example of International Journal of Autonomous and Adaptive Communications Systems format Example of International Journal of Autonomous and Adaptive Communications Systems format Example of International Journal of Autonomous and Adaptive Communications Systems format Example of International Journal of Autonomous and Adaptive Communications Systems format Example of International Journal of Autonomous and Adaptive Communications Systems format
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Example of International Journal of Autonomous and Adaptive Communications Systems format Example of International Journal of Autonomous and Adaptive Communications Systems format Example of International Journal of Autonomous and Adaptive Communications Systems format Example of International Journal of Autonomous and Adaptive Communications Systems format Example of International Journal of Autonomous and Adaptive Communications Systems format Example of International Journal of Autonomous and Adaptive Communications Systems format Example of International Journal of Autonomous and Adaptive Communications Systems format Example of International Journal of Autonomous and Adaptive Communications Systems format Example of International Journal of Autonomous and Adaptive Communications Systems format Example of International Journal of Autonomous and Adaptive Communications Systems format Example of International Journal of Autonomous and Adaptive Communications Systems format Example of International Journal of Autonomous and Adaptive Communications Systems format
Sample paper formatted on SciSpace - SciSpace
This content is only for preview purposes. The original open access content can be found here.
open access Open Access

International Journal of Autonomous and Adaptive Communications Systems — Template for authors

Categories Rank Trend in last 3 yrs
Computer Science (all) #171 of 226 up up by 16 ranks
Electrical and Electronic Engineering #543 of 693 up up by 28 ranks
journal-quality-icon Journal quality:
Low
calendar-icon Last 4 years overview: 89 Published Papers | 83 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 09/06/2020
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Top papers
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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

29% from 2019

CiteRatio for International Journal of Autonomous and Adaptive Communications Systems from 2016 - 2020
Year Value
2020 0.9
2019 0.7
2018 0.4
2017 0.3
2016 1.2
graph view Graph view
table view Table view

0.158

4% from 2019

SJR for International Journal of Autonomous and Adaptive Communications Systems from 2016 - 2020
Year Value
2020 0.158
2019 0.164
2018 0.117
2017 0.128
2016 0.145
graph view Graph view
table view Table view

0.177

59% from 2019

SNIP for International Journal of Autonomous and Adaptive Communications Systems from 2016 - 2020
Year Value
2020 0.177
2019 0.428
2018 0.092
2017 0.204
2016 0.317
graph view Graph view
table view Table view

insights Insights

  • CiteRatio of this journal has increased by 29% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

insights Insights

  • SJR of this journal has decreased by 4% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has decreased by 59% in last years.
  • This journal’s SNIP is in the top 10 percentile category.
International Journal of Autonomous and Adaptive Communications Systems

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Inderscience Publishers

International Journal of Autonomous and Adaptive Communications Systems

Approved by publishing and review experts on SciSpace, this template is built as per for International Journal of Autonomous and Adaptive Communications Systems formatting guidelines as mentioned in Inderscience Publishers author instructions. The current version was created on 08 Jun 2020 and has been used by 567 authors to write and format their manuscripts to this journal.

i
Last updated on
08 Jun 2020
i
ISSN
1754-8632
i
Impact Factor
Low - 0.399
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/IJAACS.2008.019799
Human-Centred Intelligent Human Computer Interaction (HCI²): how far are we from attaining it?
Maja Pantic1, Anton Nijholt2, Alex Pentland3, Thomas S. Huanag4

Abstract:

A widely accepted prediction is that computing will move to the background, weaving itself into the fabric of our everyday living spaces and projecting the human user into the foreground. To realise this prediction, next-generation computing should develop anticipatory user interfaces that are human-centred, built for humans ... A widely accepted prediction is that computing will move to the background, weaving itself into the fabric of our everyday living spaces and projecting the human user into the foreground. To realise this prediction, next-generation computing should develop anticipatory user interfaces that are human-centred, built for humans and based on naturally occurring multimodal human communication. These interfaces should transcend the traditional keyboard and mouse and have the capacity to understand and emulate human communicative intentions as expressed through behavioural cues, such as affective and social signals. This article discusses how far we are to the goal of human-centred computing and Human-Centred Intelligent Human-Computer Interaction (HCI2) that can understand and respond to multimodal human communication. read more read less

Topics:

User interface (58%)58% related to the paper, Human communication (58%)58% related to the paper
View PDF
122 Citations
Journal Article DOI: 10.1504/IJAACS.2013.050691
Valence, arousal and dominance in the EEG during game play
Boris Reuderink1, Christian Mühl1, Mannes Poel1

Abstract:

In this paper, we describe our investigation of traces of naturally occurring emotions in electrical brain signals, that can be used to build interfaces that respond to our emotional state. This study confirms a number of known affective correlates in a realistic, uncontrolled environment for the emotions of valence (or pleas... In this paper, we describe our investigation of traces of naturally occurring emotions in electrical brain signals, that can be used to build interfaces that respond to our emotional state. This study confirms a number of known affective correlates in a realistic, uncontrolled environment for the emotions of valence (or pleasure), arousal and dominance: (1) a significant decrease in frontal power in the theta range is found for increasingly positive valence, (2) a significant frontal increase in power in the alpha range is associated with increasing emotional arousal, (3) a significant right posterior power increase in the delta range correlates with increasing arousal and (4) asymmetry in power in the lower alpha bands correlates with self-reported valence. Furthermore, asymmetry in the higher alpha bands correlates with self-reported dominance. These last two effects provide a simple measure for subjective feelings of pleasure and feelings of control. read more read less

Topics:

Valence (psychology) (57%)57% related to the paper
114 Citations
Journal Article DOI: 10.1504/IJAACS.2013.050687
Emotional brain-computer interfaces
Gary Garcia-Molina1, Tsvetomira Tsoneva1, Anton Nijholt2

Abstract:

Research in brain-computer interface (BCI) has significantly increased during the last few years. Additionally to their initial role as assisting devices for the physically challenged, BCIs are now proposed for a wider range of applications. As any human-machine interaction system, BCIs can benefit from adapting their operati... Research in brain-computer interface (BCI) has significantly increased during the last few years. Additionally to their initial role as assisting devices for the physically challenged, BCIs are now proposed for a wider range of applications. As any human-machine interaction system, BCIs can benefit from adapting their operation to the emotional state of the user. BCIs already have access to the brain activity, which provides significant insight into the user's emotional state. This information can be utilised in two manners. (1) Knowledge of the influence of the emotional state on brain activity patterns can allow the BCI to adapt its recognition algorithms, so that the intention of the user is correctly interpreted in spite of signal deviations induced by the subject's emotional state. (2) The ability to recognise emotions can be used to provide the user with more natural ways of controlling the BCI through affective modulation and can potentially lead to higher communication throughput. read more read less
98 Citations
open accessOpen access Journal Article DOI: 10.1504/IJAACS.2017.10009671
Survey of deployment algorithms in wireless sensor networks: coverage and connectivity issues and challenges
Ines Khoufi1, Pascale Minet1, Anis Laouiti2, Saoucene Mahfoudh3

Abstract:

Wireless sensor networks (WSNs) have many fields of application, including industrial, environmental and military domains. Monitoring a given zone is one of the main goals of this technology. This consists in deploying sensor nodes in order to detect any event occurring in the zone and report it to the sink. We present a surv... Wireless sensor networks (WSNs) have many fields of application, including industrial, environmental and military domains. Monitoring a given zone is one of the main goals of this technology. This consists in deploying sensor nodes in order to detect any event occurring in the zone and report it to the sink. We present a survey that focuses on coverage and connectivity issues in WSNs. We motivate our study by giving different use cases corresponding to different coverage, connectivity, latency and robustness requirements of the applications considered. We present a general and detailed analysis of deployment problems, while highlighting the impacting factors, the common assumptions and models adopted in the literature, as well as performance criteria for evaluation purposes. Different deployment algorithms for area, barrier, and points of interest are studied and classified according to their characteristics and properties. Before concluding, we look at current trends and discuss some open issues. read more read less

Topics:

Key distribution in wireless sensor networks (60%)60% related to the paper, Wireless sensor network (58%)58% related to the paper, Deployment diagram (55%)55% related to the paper, Software deployment (52%)52% related to the paper
View PDF
91 Citations
open accessOpen access Journal Article DOI: 10.1504/IJAACS.2011.037748
Emergent engineering: a radical paradigm shift
Mihaela Ulieru1, René Doursat2

Abstract:

We shed light on the disruptive advances brought by the ubiquity of computing and communication environments, which link devices and people in unprecedented ways into a new kind of techno social systems and infrastructures recently named 'cyber-physical ecosystems' (CPE). While pointing to fundamental biases that prevent the ... We shed light on the disruptive advances brought by the ubiquity of computing and communication environments, which link devices and people in unprecedented ways into a new kind of techno social systems and infrastructures recently named 'cyber-physical ecosystems' (CPE). While pointing to fundamental biases that prevent the traditional engineering school of thought from coping with the magnitude in scale and complexity of these new technological developments, we attempt to lay out the foundation for a new way of thinking about systems design, referred to as emergent engineering. One major characteristic of CPE is that, given their very nature, they cannot be a priori defined but rather emerge from the interactions among a myriad of elementary components. We show how this emergence can be guided by balancing positive and negative feedback, which tunes the growth of new configurations and adapts the system to sharp and unexpected changes. Rather than attempting to design the system as a whole, the components of the system are endowed with capabilities of dynamic self-assembly, disassembly and re-assembly to enable 'evolve-ability'. As paradoxical as it may seem to the classically trained systems engineer, this new attitude of the designer as an 'enabler' (vs. 'dictator' of a system's blueprint) allows the system to seamlessly adapt its development and evolve to meet dynamic goals and unexpected situations in an anticipative manner – an impossible feat under the traditional approach. To the extent that it produces new functionality, the proposed method enables a system to evolve via its ability of pervasive adaptation. Emergent engineering lies at a boundary where theoretical discovery meets systems engineering, computing and communications into a new convergent science of complex systems design. It currently transforms systems and software engineering by embracing various highly interdisciplinary perspectives. read more read less

Topics:

System of systems (62%)62% related to the paper, Ultra-large-scale systems (61%)61% related to the paper, Systems design (52%)52% related to the paper
View PDF
85 Citations
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International Journal of Autonomous and Adaptive Communications Systems format uses plainnat citation style.

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Frequently asked questions

1. Can I write International Journal of Autonomous and Adaptive Communications Systems in LaTeX?

Absolutely not! Our tool has been designed to help you focus on writing. You can write your entire paper as per the International Journal of Autonomous and Adaptive Communications Systems guidelines and auto format it.

2. Do you follow the International Journal of Autonomous and Adaptive Communications Systems guidelines?

Yes, the template is compliant with the International Journal of Autonomous and Adaptive Communications Systems 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 Autonomous and Adaptive Communications Systems?

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 Autonomous and Adaptive Communications Systems citation style.

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5. Can I use a manuscript in International Journal of Autonomous and Adaptive Communications Systems 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 Autonomous and Adaptive Communications Systems that you can download at the end.

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Of course! You can do this using our intuitive editor. It's very easy. If you need help, our support team is always ready to assist you.

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12. Is International Journal of Autonomous and Adaptive Communications Systems'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 Autonomous and Adaptive Communications Systems?

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 Autonomous and Adaptive Communications Systems. 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 Autonomous and Adaptive Communications Systems?

The 5 most common citation types in order of usage for International Journal of Autonomous and Adaptive Communications Systems are:.

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

15. How do I submit my article to the International Journal of Autonomous and Adaptive Communications Systems?

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16. Can I download International Journal of Autonomous and Adaptive Communications Systems 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 Autonomous and Adaptive Communications Systems Endnote style according to Elsevier guidelines.

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