CFP: 8th Intl. Conference on Soft Computing & Machine Intelligence (ISCMI 2021)

CFP: 8th Intl. Conference on Soft Computing & Machine Intelligence (ISCMI 2021)

 

The 2021 8th Intl. Conference on Soft Computing & Machine Intelligence (ISCMI 2021) will be held in Cairo, Egypt during November 21-22, 2021. The main objective of ISCMI 2021 is to present the latest research and results of scientists related to Soft Computing & Machine Intelligence topics. This conference provides opportunities for the delegates to exchange new ideas face-to-face, to establish business or research relations as well as to find global partners for future collaborations. We hope that the conference results will lead to significant contributions to the knowledge in these up- to- date scientific fields. ISCMI 2021 is organized by India International Congress on Computational Intelligence(IICCI), and technically sponsored by the IEEE Africa Council and and IEEE Computational Intelligence Society (Egypt Chapter).

 

All submissions will be peer reviewed, and all accepted papers will be published in ISCMI 2021 conference proceedings which are expected to be included in IEEE Xplore and indexed by EI Compendex, Scopus, etc.

 

A special issue of “Neural Computing & Applications”, a Springer Publication [SCIE indexed, 2019 lmpact Factor : 4.774, 5 Year Impact Factor : 4.627; ISSN: 0941-0643 (print version) ISSN: 1433-3058 (electronic version)], will publish a selected set of extended versions of ISCMI21 papers (to be shortlisted after the conference), after the usual reviewing of those papers.

(ISCMI 2014 & ISCMI2015 & ISCMI2016 & ISCMI2017 & ISCMI2018 & ISCMI2019 have been included in the IEEE Xplore!)

Papers of ISCMI2014 & ISCMI2015 & ISCMI2016 & ISCMI2017 & ISCMI2018 & ISCMI2019 have all been indexed by Ei Compendex and Scopus!

 

Topics of interest for submission include, but are not limited to:

Advanced Intelligent Systems

Ant Colony Optimization and Swarm Intelligence

Artificial Immune Systems

Artificial Intelligence

Artificial Life

Associative Memory

Automatic Annotation

Bioinformatics and Biological Computing

Case-Based and Temporal Reasoning

Cognitive Science

Computational Intelligence

Computational Intelligence in Bioinformatics and Computational Biology

Computer Vision Systems

Connectionism

Data Fusion

Data Mining and Data Fusion

Data Mining and Knowledge Discovery

Decision Support Systems

Distributed Artificial Intelligence

DNA Computing

Emotional Intelligence

Evaluation and Refinement of Intelligent Systems

Evolutionary Computation

Evolutionary Optimization

Evolutionary Strategies

Feature Extraction

Firefly Algorithm

Fuzziness in Chaotic Systems

Fuzziness in Multi-Agent Systems

Fuzzy Aggregation Techniques

Fuzzy Control

Fuzzy Decision Making

Fuzzy Inference

Fuzzy Logic and Systems

Fuzzy Mathematics

Fuzzy Optimisation

Fuzzy Reconfigurable Systems

Fuzzy Systems and Hardware

Genetic Algorithms

 

Human-machine Interaction

Intelligent Classification

Intelligent Control

Intelligent Distributed Sensor Networks

Intelligent Hybrid Systems

Intelligent Image Processing

Intelligent Information Retrieval

Intelligent Information Systems

Intelligent Measurement

Intelligent Signal Processing

Intelligent Systems

Intelligent Tutoring Systems

Interval Computation

Knowledge Discovery

Knowledge Representation

Learning and Memory

Logical and Probabilistic Inference

Machine Learning

Mechatronics

Modeling the Real World through Contexts

Multi-Agent Systems

Multimedia Mining

Natural Language Processing

Neural Networks

Neuro-fuzzy Systems

Ontology-based Intelligent Systems

Particle Swarm Optimization

Pattern Recognition

Probabilistic Reasoning

Reinforcement Learning

Robotic Technologies

Rough Sets

Spatio-Temporal Reasoning

Statistical and Structural Pattern Recognition

Support Vector Machines

Swarm Intelligence

Syntactic and Semantic Processing

Uncertain Reasoning

Web Mining

 

Submission Methods

1.Full Paper (Presentation and Publication)

Accepted full paper will be invited to give the oral presentation at the conference and be published in the conference proceeding.

 

2.Abstract (Presentation only)

Accepted abstract will be invited to give the oral presentation at the conference, the presentation will not be published.

 

Please log in the Electronic Submission System; ( .pdf only) to submit your full paper and abstract. 

 

http://iscmi.us/index.html

http://iscmi.us/submission.html

 

For any inquiry about the conference, please feel free to contact us at: sub@iscmi.us.

 

Page Requirements

Each paper should have no less than 4 pages normally, including all figures, tables, and references.

One regular registration is within FIVE Pages. Extra pages will be charged.

 

Submission Requests

All submitted articles should report original, previously unpublished research results, experimental or theoretical. Articles submitted to the conference should meet these criteria and must not be under consideration for publication elsewhere. We firmly believe that ethical conduct is the most essential virtual of any academic. Hence any act of plagiarism is a totally unacceptable academic misconduct and cannot be tolerated. If an author is found to commit an act of plagiarism, the following acts of sanction will be taken:

1. Reject the article submitted or delete the article from the final publications.

2. Report the authors violation to his/her supervisor(s) and affiliated institution(s)

3. Report the authors violation to the appropriate overseeing office of academic ethics and research funding agency.

4. Reserve the right to publish the authors name(s), the title of the article, the name(s) of the affiliated institution and the details of misconduct, etc. of the plagiarist”.

IWANN 2021 First Call for Papers

Dear colleagues,

It is our great pleasure to announce you the 16th International Work-Conference on Artificial Neural Networks, which will take place in Madeira (Portugal) in June, 16th-18th, 2021. Please, find further information about our conference at the website:

http://iwann.uma.es/

The specific circumstances we are living now and in the near future require us to be very cautious in making decisions especially in organizing events involving numerous people.

Under these uncertain circumstances, the safety, security, respect, and well-being of our participants in the next edition of IWANN 2021 will be on top of the agenda. The conference will be adapted to fulfil the regulations imposed by the competent authorities. We will try to maintain the spirit of work and collaboration that has always distinguished the past editions of IWANN.

First of all, we have chosen as location one of the places in the world with less incidence of the COVID-19, the island of Madeira (Portugal).
The venue of the congress will be in the Hotel Vida Mar with many open spaces and large meeting rooms.

Secondly, changes have been introduced in the timing of the congress to facilitate maximum participation, such as the possibility of reviewing the content of the papers presented a few days after the congress to incorporate improvements arising from the presentation discussions.

Finally, for those researchers who cannot travel, virtual sessions with direct connection will be programmed to facilitate the debate.

We hope that the changes introduced will be well received and that we will be able to collaborate closely to make this 2021 edition a success.

You can find extended information on IWANN web pages:
http://iwann.uma.es
or contact us at iwann@ugr.es

Best wishes

Andreu Català,  Gonzalo Joya,  Ignacio Rojas Co-Chairmen IWANN 2021

Call for papers – IMPROVE 2021 (Deadline Extension)

CALL FOR PAPERS

International Conference on Image Processing and Vision Engineering

New Submission Deadline: December 22, 2020

http://www.improve.scitevents.org

April 28 – 30, 2021

Online Streaming

Due to many requests, the regular papers submission deadline of this conference has been extended.

IMPROVE is a comprehensive conference of academic and technical nature, focused on image processing and computer vision practical applications. It brings together researchers, engineers and practitioners working either in fundamental areas of image processing, developing new methods and techniques, including innovative machine learning approaches, as well as multimedia communications technology and applications of image processing and artificial vision in diverse areas.

IMPROVE is organized in 6 major tracks:
1 – Fundamentals
2 – Methods and Techniques
3 – Machine Learning
4 – Multimedia Communications
5 – Imaging
6 – Applications

Conference Chair(s)
Sebastiano Battiato, University of Catania, Italy

Program Chair(s)
Francisco Imai, Apple Inc., United States
Cosimo Distante, CNR, Italy

With the presence of internationally distinguished keynote speakers:
Matthias Niessner, Technical University of Munich, Germany
Luisa Verdoliva, University of Naples Federico II, Italy

Proceedings will be submitted for indexation by:
SCOPUS
Google Scholar
The DBLP Computer Science Bibliography
Semantic Scholar
Microsoft Academic
Engineering Index (EI)
Web of Science / Conference Proceedings Citation Index

All papers presented at the conference venue will also be available at the SCITEPRESS Digital Library.

Kind regards,
Mónica Saramago
IMPROVE Secretariat

Address: Av. S. Francisco Xavier Lote 7 Cv. C, Setubal 2900-616, Portugal
Tel: +351 265 520 185
Web: http://www.improve.scitevents.org
e-mail: improve.secretariat@insticc.org

IEEE CBMS 2021 – Special Track on “Artificial Intelligence for -omics sciences: radiomics and beyond”



Special Track “Artificial Intelligence for -omics sciences: radiomics and beyond” @ IEEE CBMS 2021

https://cbms2021.pt/st-artificial-intelligence-for-omics/

DeepLearn 2021 Summer: early registration December 26

 
4th INTERNATIONAL SCHOOL ON DEEP LEARNING
 
DeepLearn 2021 Summer
 
Las Palmas de Gran Canaria, Spain
 
July 26-30, 2021
 
Co-organized by:
 
Department of Information Engineering
Marche Polytechnic University
 
Institute for Research Development, Training and Advice – IRDTA
Brussels/London
 
https://irdta.eu/deeplearn2021s/
 
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