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International Journal of Synthetic Emotions (IJSE)
Open Access Journal

International Journal of Synthetic Emotions (IJSE)

This journal was converted to full Gold Open Access on January 1, 2023
Interim Editor-in-Chief: João M. F. Rodrigues
Published: Continuous Volume |Established: 2010
ISSN: 1947-9093|EISSN: 1947-9107|DOI: 10.4018/IJSE
Out of print.
Latest Published Articles
Published: Jul 1, 2020
DOI: 10.4018/IJSE.2020070101
Volume 11
Rana Fathalla
Emotion modeling has gained attention for almost two decades now due to the rapid growth of affective computing (AC). AC aims to detect and respond to the end-user's emotions by devices and... Show More
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MLA

Fathalla, Rana. "Emotional Models: Types and Applications." vol.11, no.2 2020: pp.1-18. http://doi.org/10.4018/IJSE.2020070101

APA

Fathalla, R. (2020). Emotional Models: Types and Applications. , 11(2), 1-18. http://doi.org/10.4018/IJSE.2020070101

Chicago

Fathalla, Rana. "Emotional Models: Types and Applications," 11, no.2: 1-18. http://doi.org/10.4018/IJSE.2020070101

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Published: Jul 1, 2020
DOI: 10.4018/IJSE.2020070102
Volume 11
Umesh Kokate, Arviand V. Deshpande, Parikshit N. Mahalle
Evolution of data in the data stream environment generates patterns at different time instances. The cluster formation changes with respect to time because of the behaviour and members of clusters.... Show More
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MLA

Kokate, Umesh, et al. "Density-Based Clustering Method for Trends Analysis Using Evolving Data Stream." vol.11, no.2 2020: pp.19-36. http://doi.org/10.4018/IJSE.2020070102

APA

Kokate, U., Deshpande, A. V., & Mahalle, P. N. (2020). Density-Based Clustering Method for Trends Analysis Using Evolving Data Stream. , 11(2), 19-36. http://doi.org/10.4018/IJSE.2020070102

Chicago

Kokate, Umesh, Arviand V. Deshpande, and Parikshit N. Mahalle. "Density-Based Clustering Method for Trends Analysis Using Evolving Data Stream," 11, no.2: 19-36. http://doi.org/10.4018/IJSE.2020070102

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Published: Jul 1, 2020
DOI: 10.4018/IJSE.2020070103
Volume 11
Sushree Bibhuprada B. Priyadarshini
This paper proffers an overview of neural network, coupled with early neural network architecture, learning methods, and applications. Basically, neural networks are simplified models of biological... Show More
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MLA

Priyadarshini, Sushree Bibhuprada B. "A Comprehensive Study on Architecture of Neural Networks and Its Prospects in Cognitive Computing." vol.11, no.2 2020: pp.37-55. http://doi.org/10.4018/IJSE.2020070103

APA

Priyadarshini, S. B. (2020). A Comprehensive Study on Architecture of Neural Networks and Its Prospects in Cognitive Computing. , 11(2), 37-55. http://doi.org/10.4018/IJSE.2020070103

Chicago

Priyadarshini, Sushree Bibhuprada B. "A Comprehensive Study on Architecture of Neural Networks and Its Prospects in Cognitive Computing," 11, no.2: 37-55. http://doi.org/10.4018/IJSE.2020070103

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Description, Mission, Scope & Coverage
Description:
The International Journal of Synthetic Emotions (IJSE) covers the main issues relevant to the generation, expression, and use of synthetic emotions in agents, robots, systems, interfaces, and devices. Providing unique, interdisciplinary research from across the globe, this journal covers a wide... Show More
Mission & Scope:
The mission of the International Journal of Synthetic Emotions (IJSE) is to provide a forum for the advancement of knowledge and methods necessary for the creation of artificial devices with emotions. IJSE approaches the field of synthetic emotions, offering a unique interdisciplinary platform for all international researchers on this topic. The journal presents a new common space of richest and... Show More
Coverage:
  • Adaptative interfaces
  • Affective computing
  • Artificial intelligence for human senses
  • Artificial intelligence in emotions
  • Cognition for ambient intelligence
  • Cognitive science
  • Diffusive emotional controls
  • Electronic art approaches to emotions
  • Emotional architectures
  • Emotional computing
  • Emotional design
  • Emotional interfaces
  • Emotional languages programming
  • Emotion-based control systems
  • Emotions recognition
  • Engineering approaches to emotions
  • Evolutionary approaches to the mind
  • Feeling or showing emotion differences
  • Grounding emotions in adaptive systems
  • Human senses
  • Human-centered AI
  • Human-Computer Interaction
  • Human-machine cooperation
  • Humanoid robotics
  • Language and emotions
  • Machine learning models for emotions
  • Modeling artificial emotions
  • Neuroethics
  • Online emotional avatars
  • Sentiment Analysis
  • Sociable robotics
  • Synthetic emotions (SE) in agents, robots, systems, and devices
  • Theories of emotions
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