Skip to content

Advertisement

Complex Adaptive Systems Modeling
Complex Adaptive Systems Modeling Cover Image

Articles

Page 1 of 2

  1. Content type: Research

    Air traffic control system in airports is one of the most complex systems in the context of air traffic management due to the huge number of requirements. In order to help engineers to develop such complex sys...

    Authors: Abdessamad Jarrar and Youssef Balouki

    Citation: Complex Adaptive Systems Modeling 2018 6:6

    Published on:

  2. Content type: Methodology

    Smart grid can be considered as the next step in the evolution of power systems. It comprises of different entities and objects ranging from smart appliances, smart meters, generators, smart storages, and more...

    Authors: Waseem Akram and Muaz A. Niazi

    Citation: Complex Adaptive Systems Modeling 2018 6:5

    Published on:

  3. Content type: Research

    The use of online social media is also connected with the real world. A very common example of this is the effect of social media coverage on the chances of success of elections. Previous literature has identi...

    Authors: Yousra Asim, Muaz A. Niazi, Basit Raza and Ahmad Kamran Malik

    Citation: Complex Adaptive Systems Modeling 2018 6:4

    Published on:

  4. Content type: Research

    Mathematical modelling provides mechanistic insight of an infirmity by emulating the course of disease on individual or group level under various interventions and hence makes pragmatic contribution to complem...

    Authors: Ayesha Sohail, Lubna Sherin, Zhiwu Li and Qasim Ali Chaudhry

    Citation: Complex Adaptive Systems Modeling 2018 6:3

    Published on:

  6. Content type: Methodology

    Exploring and understanding outputs from agent-based models is challenging due to a relatively higher number of parameters and multidimensionality of the generated data. We use a combination of exploratory and...

    Authors: M. Hammad Patel, Mujtaba Ahmed Abbasi, M. Saeed and Shah Jamal Alam

    Citation: Complex Adaptive Systems Modeling 2018 6:1

    Published on:

  7. Content type: Research

    Bone is comprised of an enormously hierarchical construction that promotes transportation of necessary fluids and solids, guaranteeing accurate function and growth. Bone remodeling is a combined process of bon...

    Authors: Sana Javed, Ayesha Sohail, Khadija Maqbool, Saad Ihsan Butt and Qasim Ali Chaudhry

    Citation: Complex Adaptive Systems Modeling 2017 5:12

    Published on:

  14. Content type: Research

    Collaboration has become a cornerstone in biomedical research today. In contrast to physics which has a long history and experience in collaborative projects, biology is only recently becoming an evermore coll...

    Authors: J. Mario Siqueiros-García, Rodrigo García-Herrera, Enrique Hernández-Lemus and Sergio Alcalá-Corona

    Citation: Complex Adaptive Systems Modeling 2017 5:5

    Published on:

  16. Content type: Review

    The foraging task is one of the canonical testbeds for cooperative robotics, in which a collection of robots has to search and transport objects to specific storage point(s). In this paper, we investigate the Mu...

    Authors: Ouarda Zedadra, Nicolas Jouandeau, Hamid Seridi and Giancarlo Fortino

    Citation: Complex Adaptive Systems Modeling 2017 5:3

    Published on:

  17. Content type: Research

    Medieval logic defined reference as a relation between language and objects in the world. Recently, however, the term ``representational token'' has been used instead of language (Reimer and Michaelson in The...

    Authors: Roland Hausser

    Citation: Complex Adaptive Systems Modeling 2017 5:2

    Published on:

  18. Content type: Short report

    In this article, we model a behavior-based strategy of autonomous coverage and exploration at the scale of a city with multiple robots. The behavioral components are motivated by Cepeda et al. (Sensors 12 (9):...

    Authors: Kashif Zia, Ahmad Din, Khurram Shahzad and Alois Ferscha

    Citation: Complex Adaptive Systems Modeling 2017 5:1

    Published on:

  21. Content type: Research

    Internet of things (IoT) is an interaction between more than one network to facilitate communication. These networks by themselves are complex networks. Therefore, IoT network is expected to grow at unpreceden...

    Authors: Ahmed B. Altamimi and Rabie A. Ramadan

    Citation: Complex Adaptive Systems Modeling 2016 4:25

    Published on:

  24. Content type: Research

    In this paper, we propose a novel method for semi-supervised learning by combining graph embedding and sparse regression, termed as graph embedding and sparse regression with structure low rank representation ...

    Authors: Cong-Zhe You, Vasile Palade and Xiao-Jun Wu

    Citation: Complex Adaptive Systems Modeling 2016 4:22

    Published on:

  28. Content type: Review

    Complex self-organizing cognitive radio (CR) networks serve as a framework for accessing the spectrum allocation dynamically where the vacant channels can be used by CR nodes opportunistically. CR devices must...

    Authors: Munam Ali Shah, Sijing Zhang, Muhammad Kamran, Qaisar Javaid and Bahjat Fatima

    Citation: Complex Adaptive Systems Modeling 2016 4:18

    Published on:

    The Erratum to this article has been published in Complex Adaptive Systems Modeling 2016 4:26

  29. Content type: Research

    Recent advancements in technology have enabled railway organizations to shift from manual to computer based automated interlocking systems for increasing their efficiency and profits. Since automated systems a...

    Authors: Umar Khan, Jamil Ahmad, Tariq Saeed and Sikandar Hayat Mirza

    Citation: Complex Adaptive Systems Modeling 2016 4:17

    Published on:

  30. Content type: Short Report

    Opinions continuously evolve in society. While conservative ideas may get replaced by a new one, some views remain immutable. Opinion formation and innovation diffusion have witnessed lots of attention in the ...

    Authors: Ishank Sharma, Bishwaraj Chourasia, Abhishek Bhatia and Rinkaj Goyal

    Citation: Complex Adaptive Systems Modeling 2016 4:16

    Published on:

  33. Content type: Review

    In the real world, agents or entities are in a continuous state of interactions. These interactions lead to various types of complexity dynamics. One key difficulty in the study of complex agent interactions i...

    Authors: Aisha D. Farooqui and Muaz A. Niazi

    Citation: Complex Adaptive Systems Modeling 2016 4:13

    Published on:

  34. Content type: Research

    This multidisciplinary industrial research project sets out to develop a hybrid clinical decision support mechanism (inspired by ontology and machine learning driven techniques) by combining evidence, extrapol...

    Authors: Kamran Farooq and Amir Hussain

    Citation: Complex Adaptive Systems Modeling 2016 4:12

    Published on:

  36. Content type: Research

    This paper studies the influence of information and communication technologies on human reasoning and decision making. It investigates the potential impact of ambient intelligence on change in pedestrian mobil...

    Authors: Kashif Zia, Alois Ferscha, Ahmad Din, Khurram Shahzad and Awais Majeed

    Citation: Complex Adaptive Systems Modeling 2016 4:10

    Published on:

  38. Content type: Research

    Due to the large quantity of data that are recorded in energy efficient buildings, understanding the behavior of various underlying operations has become a complex and challenging task. This paper proposes a m...

    Authors: Usman Habib, Khizar Hayat and Gerhard Zucker

    Citation: Complex Adaptive Systems Modeling 2016 4:8

    Published on:

  39. Content type: Research

    Pharmaceutical industry is tightly regulated owing to health concerns. Over the years, the use of computational intelligence (CI) tools has increased in pharmaceutical research and development, manufacturing, ...

    Authors: Mohammad Hassan Khalid, Pawel Konrad Tuszyński, Pezhman Kazemi, Jakub Szlek, Renata Jachowicz and Aleksander Mendyk

    Citation: Complex Adaptive Systems Modeling 2016 4:7

    Published on:

  41. Content type: Review

    Traditional machine learning techniques follow a single shot learning approach. It includes all supervised, semi-supervised, transfer learning, hybrid and unsupervised techniques having a single target domain ...

    Authors: M. Taimoor Khan, Mehr Durrani, Shehzad Khalid and Furqan Aziz

    Citation: Complex Adaptive Systems Modeling 2016 4:5

    Published on:

  43. Content type: Review

    There is huge amount of content produced online by amateur authors, covering a large variety of topics. Sentiment analysis (SA) extracts and aggregates users’ sentiments towards a target entity. Machine learni...

    Authors: Muhammad Taimoor Khan, Mehr Durrani, Armughan Ali, Irum Inayat, Shehzad Khalid and Kamran Habib Khan

    Citation: Complex Adaptive Systems Modeling 2016 4:2

    Published on:

  45. Content type: Research

    The complex interactions between genetic machinery of HIV-1 and host immune cells mediate dynamic adaptive responses leading to Autoimmune Deficiency Syndrome. These interactions are captured as Biological Reg...

    Authors: Zurah Bibi, Jamil Ahmad, Amjad Ali, Amnah Siddiqa, Shaheen Shahzad, Samar HK Tareen, Hussnain Ahmed Janjua and Shah Khusro

    Citation: Complex Adaptive Systems Modeling 2016 4:1

    Published on:

Submit a manuscript

Follow

2017 Journal Metrics

  • Speed
    49 days from submission to first decision
    58 days from submission to acceptance
    15 days from acceptance to publication

    Usage 
    58,550 downloads

    Social Media Impact
    59 mentions

  • More about our metrics
  • ISSN: 2194-3206

Advertisement