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DCAI 2021: International Conference on Distributed Computing and Artificial Intelligence

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DCAI
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Día de Entrega:
2021-04-30
Fecha de Notificación:
2021-06-07
Fecha de conferencia:
2021-10-06
Ubicación:
Salamanca, Spain
Ediciones:
18
QUALIS: B4   Vistas: 25534   Seguidores: 5   Asistentes: 1

Índice Conference Partner (CP-I)

53,3 / 100
Puesto n.º 964 de 5.647 congresos · 18% superior

N.º 81 de 734 en Inteligencia artificial y aprendizaje automático N.º 124 de 340 en Sistemas y arquitectura

Reconocimiento académico (35%)
54
Selectividad en la revisión (20%) Sin datos: se puntúa con la línea base neutra de 50 —
Ediciones celebradas (20%)
79
Atención de la comunidad (10%)
26
Integridad del registro público (15%)
40

Datos utilizados: Categorías: QUALIS B4 · Ediciones documentadas: 18 · Investigadores que lo siguen aquí: 5 · Investigadores que abrieron esta página en los últimos 24 meses: 2

Falta en el registro público: Tasas de aceptación históricas (+4,5) · Ediciones anteriores (+3,0)
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Solicitud de Artículos

DCAI 2021 (International Conference on Distributed Computing and Artificial Intelligence) is a QUALIS B4 conference held in Salamanca, Spain on 2021-10-06. The paper submission deadline is 2021-04-30. Acceptance notifications are sent on 2021-06-07.

The 18th International Conference on Distributed Computing and Artificial Intelligence 2021 is an annual forum that will bring together ideas, projects, lessons, etc. associated with distributed computing and artificial intelligence, and their application in different areas. This meeting will be held in Salamanca (Spain) within PAAMS'21 in 6th-8th October, 2021. Nowadays, most computing systems from personal laptops/computers to cluster/grid /cloud computing systems are available for parallel and distributed computing. Distributed computing performs an increasingly important role in modern signal/data processing, information fusion and electronics engineering (e.g. electronic commerce, mobile communications and wireless devices). Particularly, applying artificial intelligence in distributed environments is becoming an element of high added value and economic potential. Research on Intelligent Distributed Systems has matured during the last decade and many effective applications are now deployed. The artificial intelligence is changing our society. Its application in distributed environments, such as the Internet, electronic commerce, mobile communications, wireless devices, distributed computing, and so on is increasing and is becoming an element of high added value and economic potential, both industrial and research. These technologies are changing constantly as a result of the large research and technical effort being undertaken in both universities and businesses. The exchange of ideas between scientists and technicians from both academic and business areas is essential to facilitate the development of systems that meet the demands of today's society. The technology transfer in this field is still a challenge and for that reason this type of contributions will be specially considered in this symposium. TOPICS At least one of the authors will be required to register and attend the symposium to present the paper in order to include the paper in the conference proceedings. - Intelligent environments - Distributed Algorithms - Distributed databases - Computer GRID - Cloud Computing - Edge Computing - Fog Computing - Multimedia and distributed animation systems - Distributed Operating Systems - Real Time Systems - E-commerce and Electronic Business - Distributed applications ICTs: trade, medicine, industry, the Internet, etc... - Implementation of AI Bioinformatics - Implementation of AI Biotechnology - Implementation of AI in the development of mobile devices - Distributed Architectures - Multiagent Systems - High-performance distributed systems - Languages, Compilers, planning, load balancing - Mobile and wireless systems - Security in computer systems - Software Engineering and Formal Methods - Distributed Intelligent Information Systems - Robotics and Control - Internet of Things (IoT) - Industrial Internet of Things (IIot) - Model based reasoning - Case based reasoning - Reasoning not monotonic - Planning and scheduling tasks - Qualitative Reasoning - Reasoning with uncertainty - Temporal and spatial reasoning - Other reasoning models - Data Analysis and Big Data Techniques - Evolutionary Computation - Neural networks - Learning through reinforcement - Other models of learning - Applications of AI (TTIA) - Logic - System support for decision-making - Fintech o Financial Technology - Intelligent Interaction - Knowledge Management - Knowledge Representation
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