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AISI’19 2019 - The 5th International Conference on Advanced Intelligent Systems and Informatics (AISI’19)- DBLP, EI-Compendex, Mathematical Reviews, SCImago, Scopus.

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Website http://egyptscience.net/AISI2019/home.html | Edit Freely

Category AISI’19 2019

Deadline: March 15, 2019 | Date: October 26, 2019-October 28, 2019

Venue/Country: Cairo-Egypt, Egypt

Updated: 2019-02-07 21:48:03 (GMT+9)

Call For Papers - CFP

Call for Papers

Advanced Intelligent Systems and Informatics (AISI) is an interdisciplinary research field which involves researchers from information technologies, bioinformatics, computer science, medical informatics, biology, social studies, national Language processing, IOT, as well as robotics research. AISI’2019 conference aims for encouraging the integration of these research fields by providing a chance for academics, researchers, analysts, industry consultants, and practitioners in the fields involved to discuss and exchange recent progress in the area of informatics and intelligent systems technologies and applications. The conference has three major tracks (Intelligent Systems, Intelligent Robotics Systems, and Informatics).

Topics of interest for each track include (but are not limited to):

Intelligent Speech and Language Processing (ISLP) Track chair Prof. Khaled Shaalan, kshaalan [at] acm.org

Phonetics, Phonology, and Morphology, Syntax, Semantics, Pragmatics, Discourse, and the Lexicon

Speech Recognition and Synthesis

Natural Language Understanding and Generation

Linguistic Knowledge Acquisition and Representation, Ontologies and Semantic Networks

Lexical Resources, Corpus Linguistics and Anaphora Resolution

Word Sense Disambiguation, spelling and grammar checking

Machine Translation and Translation Aids

Language Learning and Therapy

Information Extraction, Information Retrieval, Question Answering

Text Summarization and Classification

Dialogue and Systems Evaluation

Intelligent systems

Machine Learning

Genetic Algorithms

Neural Nets, Fuzzy Systems

Rough sets, near sets, neutorsohpic system,

Fuzzy and Neuro-Fuzzy Control

Knowledge Based Systems

Expert Systems and Lazy learning

Computing Machinery and Intelligence

Computer Networks

Mining of Massive Datasets

Massive Data Analysis

Massive Datasets Applications

Algorithms for Modern Massive Data Sets

Intelligent signal processing systems

Bio-Inspired Systems

Precision Farming

Precision Agriculture

Intelligent Robotics Systems

Human-Robotic Interaction

Human-Robotic Interaction

Control, Flexible Arm Control

Pereception and Recognition

Distributed robotics

Evolutionary robotics

Behavior-based robotics

Biometrics and Bio-robotics

Bio-morphics robotics

Cognitive robotics

Bio-Inspired Robotics Lab

Sensory-Motor Systems

Reasoning, and Learning

Robotic Systems and Service

Surgery Robotics

Intelligent and autonomous systems

Mathematical modeling and analysis of complex systems

Knowledge based control systems

Adaptive control systems

Control applications in Intelligent robotics

Informatics

The Web and Business intelligence

The Web and Business Intelligence

Data mining and Big data analysis

Healthcare Informatics

Biomedical informatics

Bioinformatics

Systems biology

Medical imaging

Medical informatics

Neurosciences

Informatics in education process

Distributed multimedia

Hypermedia information space

Intelligent information retrieval

Digital libraries

Virtual and Augmented reality

Signal and Speech processing

Object recognition

Image and video retrieval

Internet of Things and Big Data Analytics

The uses of Information Technology (IT) has increasedday which therefore ended to be every thing that we are doing, we can directly go through online on the spot. Information technology is any kinds of software or tools for keeping information, retrieve and sending the information using a certain type oftechnology such as computer, mobile phones, computer networks and more. With this IT, people are now able to upload, retrieve,store their information and collect information to Big Data. Since Big Data hold massive information with the use of IT such as the internet, students are now able to study online which is called as e-Learning. As the tools provided by Information Technology (IT) have increased continuously, these have affected all aspects of ourlives, specifically, in the area of academic. Big Data and e-Learning do bring people or the users specifically, both various benefits anddisadvantages because of its multi-function ability. Therefore, it affects our social skills, mental growth, physical and risks of invadingour personal information. Hence, the discussion from regular peopleperspectives to many other different perspectives such as, businesses perspectives, health care perspectives, government perspectivesand many more. The drive to incorporate more big data within organizations is a powerful one. The use of big data analytics has grown tremendously in just the past few years, and businesses are quickly catching on to what they stand to gain. At the same time, the Internet of Things (IoT) has entered the public consciousness, sparking people’s imaginations on what a fully connected world can offer. While separately the two trends give plenty of reason for excitement, combining the two only multiplies the anticipation. The world is running on data now, and pretty soon, the world will become fully immersed in the Internet of Things. This editing book is intended to present the state-of-the-art in research on Big data and IoT and related areas.

PUBLICATIONS

All accepted papers will be published in the conference proceeding which will be published by Springer (Pending Approval) in the series of “Advances in Intelligent Systems and Computing” and abstracted/indexed in DBLP, Google Scholar, EI-Compendex, Mathematical Reviews, SCImago, Scopus.

Student Best Paper Award

Papers accepted and presented in the conference and their first author is MSc or PhD students will be given the opportunity to compete for the Best Paper Award. The entries of the competition should be presented at the conference by the student.


Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
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