AISI 2018 (International Conference on Advanced Intelligent Systems and Informatics) is an academic conference held in Cairo, Egypt on 2018-09-01. The paper submission deadline is 2018-05-20 (extended). Acceptance notifications are sent on 2018-05-30.
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’2018 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
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.
Aún no hay comentarios.