The Department of Computer Science & Engineering has been set up to impart training of the highest standards to the students, in the field of computers, thus preparing them to meet the exacting demands of the highly competitive global industrial market.
The Department is currently focused on providing B.Tech., M.Tech., M.C.A. & PhD programs which cover exhaustively the area of Computer Science & Engineering:.
The International Conference on Machine Learning & Computational Intelligence(ICMLCI-2017) aims to provides an opportunity for the researchers, engineers, developers and practitioners from academia and industry to discuss and address the experimental, theoretical work and methods in solving problems and to share their experience, exchange and cross-fertilize their ideas in the fields of Machine Learning and Computational Intelligence. This conference will be useful for research scholar and professionals working in data science, big data, machine learning, artificial intelligence and predictive modeling.
In the recent years, machine learning has emerged as powerful techniques for solving problem involve huge loads of data. Machine learning provides algorithms and tools that are useful for solving classification and regression tasks in the supervised learning problems, clustering and frequent pattern mining tasks in unsupervised learning problems, tasks of controlling the behavior of machines in reinforcement learning problems.
Director of Manufacturing
Chief Editor Applied Soft
Senior Member IEEE
Aurel Vlaicu University
IIT Dhanbad (ISM), India
Machine Learning & Soft Computing
IIT Delhi, India
Associate Professor, DCSE
MITS, Gwalior, India
Department of CSE
BVRIT, Narsapur Telengana,India
Department of CSE
VCE, Warangal, Telengana, India
We invite original (un-published) research contributions based on the above mentioned theme including following topics but not limited to:
• Data Mining, Data Science and Big Data
• Classification Systems
• Association Rules
• Social Media, Social Networking, Social Data
• Features Selection for Nature Algorithms and Machine Learning
• Rough Set Applied to Nature Algorithms and Machine Learning
• Fuzzy Set Applied to Nature Algorithms and Machine Learning
• Genetic Algorithms Applied to Nature Algorithms and Machine Learning
• Neural Network Applied to Nature Algorithms and Machine Learning
• Applications of Nature Algorithms and Machine Learning
• Soft Set Applied to Nature Algorithms and Machine Learning
We invite high-quality submissions describing original and unpublished work for the conference. All accepted submissions will published in the conference proceeding, Tata Mcgraw-Hill(TMH) with ISBN Number.
The accepted and presented papers are likely to be published in the SCOPUS or other journal.
All submissions will be subject to plagiarism check. Papers submitted for consideration should not have been published elsewhere and should not be under review or submitted for review elsewhere during the duration of consideration. At least one author of an accepted paper must register for the conference and present the paper in the conference. Only the presented papers will be included in the proceedings.All accepted and presented papers will be published in
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Indonesian Journal of Electrical Engineering and Computer Science (p-ISSN: 2502-4752, e-ISSN: 2502-4760) is a monthly peer reviewed International Journal in English, indexed by Scopus, EI (INSPEC, IET), Google Scholar Metrics, ProQuest, EBSCO, DOAJ, BASE, OALib, SHERPA/RoMEO etc.
The International Journal of Applied Engineering Research (IJAER) is an international research journal, which publishes top-level work from all areas of Engineering Research and their application including Mechanical, Civil, Electrical, Computer Science and IT, Chemical, Electronics, Mathematics, Environmental, Education Geological etc.
INDEXING: SCOPUS, EBSCOhost, GOOGLE Scholar, JournalSeek, J-Gate, ICI, Index Copernicus IC Value 82.67 and UGC Approved Journal - 2017 (Journal No. - 64529)
International Journal of Intelligent Systems and Applications(IJISA) is publishing refereed, high quality original research papers in all areas of Intelligent Systems and Applications. IJISA has been indexed by several world class databases: Scopus, Google Scholar, Microsoft Academic Search, CrossRef, DOAJ, IndexCopernicus, INSPEC(IET), EBSCO, JournalSeek, ULRICH's Periodicals Directory, WordCat, Scirus, Academic Journals Database, Stanford University Libraries, Cornell University Library, UniSA Library, CNKI Scholar, ProQuest, J-Gate, ZDB, BASE, OhioLINK, iThenticate, Open Access Articles, Open Science Directory, National Science Library of Chinese Academy of Sciences, The HKU Scholars Hub, etc..
International Journal of Communication Networks and Distributed Systems (IJCNDS) aims to improve the state-of-the-art of worldwide research in communication networks and distributed systems and to address the various methodologies, tools, techniques, algorithms and results. IJCNDS has been indexed by several world class databases: Scopus, Compendex [formerly Ei] (Elsevier),Academic OneFile (Gale),ACM Digital Library,cnpLINKer (CNPIEC)
The Registration is required for all participants of ICMLCI-2017 which covers conference kit, lunch, tea and Dinner.
|Category||Indian (INR)||Foreign (US Dollar)||Student||5000/-||130($)|
|Academician / R&D||6000/-||150($)|