Special Session 1: Innovative Soft Computing Approaches for Pattern Recognition Applications (ISCAPARA)

Soft computing techniques are widely becoming popular in pattern recognition applications. Most of the applications make use of conventional soft computing techniques where the scope for improvement is significantly high. Innovative approaches like hybrid techniques, modified methodologies in terms of training algorithms, modifications in terms of architectures, etc. can be developed for the performance improvement of the overall system. This session specifically focuses on development of innovative/modified soft computing techniques which can sow the seeds for solutions of various problems. This session will be also an ideal platform for igniting the spark on budding engineers to come up with innovative solutions based on soft computing approaches.

Only original and unpublished high quality research papers are solicited from the academicians, researchers and industry practitioners on traditional and advanced topics of soft computing approaches for pattern recognition. Recommended topics include but are not limited to the following:
  • Artificial neural networks
  • Fuzzy logic theory
  • Evolutionary computation
  • Rough sets
  • Deep learning approaches
  • Swarm intelligence
  • Support Vector Machines
  • Chaos theory
  • Probabilistic approaches
  • Machine learning
  • Neuro-fuzzy techniques
  • Face recognition
  • Medical image processing
  • Gesture Recognition
  • Signal processing
  • Biometrics
  • Bio-informatics
  • Augmented reality
  • Satellite imaging
  • Video surveillance
  • Animation and graphics
How to submit:
To submit to this special issue, you need to submit through Easychair and select 'article topic' as SS:ISCAPARA.
Also mail a copy of your article to Special Session Chair for his advance intimation.


Session Chairs:
D. Jude Hemanth
Karunya University, India
jude_hemanth@rediffmail.com

Valentina Emilia Balas
‘Aurel Vlaicu’ University of Arad, Romania
valentina.balas@uav.ro

J. Anitha
Karunya University, India


Special Session 2: Cognitive Informatics (CI)

Informatics deals with the nature of information, representation, processing and transformation. It is evolved from the classical information theory, contemporary informatics, to cognitive informatics in the past half century. Cognitive Informatics (CI) is the multidisciplinary study of cognitive processes (such as perception, expression, memory, reasoning, decision making, learning, intelligence, emotions etc) and information processing mechanisms of the brain with the goal of augmenting human capabilities and investigates their engineering applications in computing. The main objective is to maximise the trust in automated systems. It may include applications and technologies from different domains such as psychology, neuroscience, artificial intelligence, or linguistics.

Major problems yet to be solved in CI are: architectures of the brain, mechanisms of the natural intelligence, cognitive processes, mental phenomena, and personality modelling. It is expected that any breakthrough in CI will profoundly significant towards the development of the next generation technologies in informatics, computing, software, and cognitive sciences. The aim of this session is to investigate the processes &computing mechanism for cognitive informatics that could result in novel findings towards the development of next generation IT and software technologies, such as neural computers, bioinformatics, quantum information processing, new software development approaches, new architectures of information systems and machines with thinking capability.


Only original and unpublished high quality research papers are solicited from the academicians, researchers and industry practitioners on traditional and advanced topics of cognitive informatics. Recommended topics include but are not limited to the following:
  • Autonomous decision making
  • Autonomous machine learning
  • CI foundations of software engineering
  • Cognitive agent technologies
  • Cognitive foundation of big data
  • Cognitive inferences
  • Cognitive information fusion
  • Cognitive knowledge bases
  • Cognitive linguistics
  • Cognitive modelling
  • Cognitive models
  • Cognitive sensors and networks
  • Computing with words (CWW)
  • Concept & semantic algebras
  • Emotion modelling
  • Emotion recognition
  • Informatics models of the brain
  • Machine consciousness
  • Memory models of the brain
  • Natural Language Processing
  • Perception and thinking processes
How to submit:
To submit to this special issue, you need to submit through Easychair and select 'article topic' as SS:CI.
Also mail a copy of your article to Special Session Chair for his advance intimation.


Session Chairs:
Krishna Asawa
Jaypee Institute of Information Technology, Noida, India
krishna.asawa@jiit.ac.in

Shikha Jain
Jaypee Institute of Information Technology, Noida, India
shikha.jain@jiit.ac.in

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ICACNI 2018