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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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 LexiconSpeech Recognition and SynthesisNatural Language Understanding and GenerationLinguistic Knowledge Acquisition and Representation, Ontologies and Semantic NetworksLexical Resources, Corpus Linguistics and Anaphora ResolutionWord Sense Disambiguation, spelling and grammar checkingMachine Translation and Translation AidsLanguage Learning and TherapyInformation Extraction, Information Retrieval, Question AnsweringText Summarization and ClassificationDialogue and Systems EvaluationIntelligent systemsMachine LearningGenetic AlgorithmsNeural Nets, Fuzzy SystemsRough sets, near sets, neutorsohpic system,Fuzzy and Neuro-Fuzzy ControlKnowledge Based SystemsExpert Systems and Lazy learningComputing Machinery and IntelligenceComputer NetworksMining of Massive DatasetsMassive Data AnalysisMassive Datasets ApplicationsAlgorithms for Modern Massive Data SetsIntelligent signal processing systemsBio-Inspired SystemsPrecision FarmingPrecision AgricultureIntelligent Robotics SystemsHuman-Robotic InteractionHuman-Robotic InteractionControl, Flexible Arm ControlPereception and RecognitionDistributed roboticsEvolutionary roboticsBehavior-based roboticsBiometrics and Bio-roboticsBio-morphics roboticsCognitive roboticsBio-Inspired Robotics LabSensory-Motor SystemsReasoning, and LearningRobotic Systems and ServiceSurgery RoboticsIntelligent and autonomous systemsMathematical modeling and analysis of complex systemsKnowledge based control systemsAdaptive control systemsControl applications in Intelligent roboticsInformaticsThe Web and Business intelligenceThe Web and Business IntelligenceData mining and Big data analysisHealthcare InformaticsBiomedical informaticsBioinformaticsSystems biologyMedical imagingMedical informaticsNeurosciencesInformatics in education processDistributed multimediaHypermedia information spaceIntelligent information retrievalDigital librariesVirtual and Augmented realitySignal and Speech processingObject recognitionImage and video retrievalInternet of Things and Big Data AnalyticsThe 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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