Información de la conferencia

CICom 2021: EAI International Conference on Computational Intelligence and Communications

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CICom
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Día de Entrega:
2021-05-01
Fecha de Notificación:
2021-06-01
Fecha de conferencia:
2021-09-02
Ubicación:
Versailles, France
Ediciones:
2
Vistas: 10749   Seguidores: 0   Asistentes: 0

Índice Conference Partner (CP-I)

38,0 / 100
Puesto n.º 5.402 de 5.680 congresos · 96% superior

N.º 700 de 739 en Inteligencia artificial y aprendizaje automático N.º 829 de 864 en Redes y comunicaciones

Reconocimiento académico (35%) Sin datos: se puntúa con la línea base neutra de 50 —
Selectividad en la revisión (20%) Sin datos: se puntúa con la línea base neutra de 50 —
Ediciones celebradas (20%)
30
Atención de la comunidad (10%)
8
Integridad del registro público (15%)
25

Datos utilizados: Ediciones documentadas: 2 · 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) · Premios al mejor artículo (+2,3)
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Confianza 45 %: la parte de la puntuación respaldada por datos observados y no por la línea base neutra. Cómo se calcula esta puntuación · Ver la clasificación · Versión del algoritmo 1.1 · Calculado el 2026-09-11

Solicitud de Artículos

CICom 2021 (EAI International Conference on Computational Intelligence and Communications) is an academic conference held in Versailles, France on 2021-09-02. The paper submission deadline is 2021-05-01. Acceptance notifications are sent on 2021-06-01.

CiCOM 2021 will provide an opportunity to exchange innovative research on Computational Intelligence and Communications. Computational Intelligence makes use of biologically and linguistically motivated computational paradigms including neural networks, fuzzy logic systems, and evolutionary computation, as well as social reasoning, artificial life, ambient intelligence, deep learning, and the likes. New technologies in communications bring new application paradigms for healthcare, transportation, education, agriculture, and social networks. With the arrival of 5G and 6G networks technologies, we need to address new research challenges, including the tight integration of machine intelligence, efficient and reliable networking, interoperability, scalability and security. Track topics include, but are not limited to: Track 1: Computational Intelligence in Automation, Control, and Intelligent Transportation System Intelligent Decision Making and Support Adaptive and Optimal Control Model-Predictive Control Fuzzy Systems and Control Fuzzy Neural Systems and Control Hybrid Intelligent Control Object recognitions, traffic sign detection and recognition Multimodal intelligent transport systems & services Vehicle communications and connectivity Driver and traveller support systems Simulation and forecasting models Driver assistance and automation systems Driver state detection and monitoring Track 2: Computational Intelligence on Big Data, Internet of Things, and Smart Cities Efficient algorithms on processing and analysis of big data Extracting and understanding from distributed, diverse and large-scale data resources Visualisation of big data and visual data analytics Human-computer interaction and collaboration in big data Classification, Clustering, Regression Data mining from nonstationary and drifting environments Novel Architecture and Protocols of AI Integrated with IoT Security, Privacy, Access Control, & Trust Frameworks of IoT Resource Management Techniques of Using AI for IoT Control Schemes in IoT Smart Data Storage in IoT Track 3: Computational Intelligence on Wireless Communication Systems and Cyber Security Machine Learning for Networks Unmanned Aerial Vehicles Wireless Sensor Networks Network Virtualization Software Defined Networks | Blockchain and its security Waveforms and Radio Access Technologies Software Defined Radio Visible Light Communication (VLC) Radio Access Networks Intrusion/malware detection, prediction, and classification Sensor network security, web security, wireless and 4G, 5G media security Self-awareness, auto-defensiveness, self-reconfiguration, and self-healing networking paradigm Modelling adversarial behaviour for threat detection Cloud and virtualization security Track 4: Computational Intelligence on Human/Brain-omputer Interfaces & Image and Pattern Recognition Signal processing for Brain-Computer Interface (BCI) BCI Feature Extraction, Pattern Recognition, and Multiple modalities for BCI Invasive and non-invasive BCIs. Online and offline BCI applications Advances on Human-Computer Interfaces Feature ranking and weighting Feature selection, extraction, construction, and reduction Feature analysis on high-dimensional and large-scale data Evolutionary computation for feature analysis Information theory, statistics, mathematical modelling, etc., for feature analysis Feature analysis in classification, clustering, regression, image analysis, and other tasks Real-world applications of computational intelligence for feature analysis
Última actualización por Dou Sun el

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