Información de la conferencia

ICNGN 2026: International Conference on Intelligent Computing and Next Generation Networks

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Día de Entrega:
2026-11-26 Faltan 25 días Extendido
Fecha de Notificación:
Fecha de conferencia:
2026-12-12
Ubicación:
Hong Kong, China
Ediciones:
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Índice Conference Partner (CP-I)

47,7 / 100
Puesto n.º 2.228 de 5.764 congresos · 39% superior

N.º 246 de 752 en Inteligencia artificial y aprendizaje automático

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%)
48
Atención de la comunidad (10%)
23
Integridad del registro público (15%)
55

Datos utilizados: Ediciones documentadas: 5 · Investigadores que lo siguen aquí: 1 · Investigadores que abrieron esta página en los últimos 24 meses: 8

Falta en el registro público: Tasas de aceptación históricas (+4,5) · 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 1.2 · Calculado el 2026-10-31

Solicitud de Artículos

ICNGN 2026 (International Conference on Intelligent Computing and Next Generation Networks) is an academic conference held in Hong Kong, China on 2026-12-12. The paper submission deadline is 2026-11-26 (extended).

All papers must be written in English and should describe original work. The length of the paper is limited to a maximum of 5 pages (in the standard IEEE conference double column format). Papers will be refereed through a blind process for technical merit and content. To be eligible for publication in the conference proceedings, an accepted paper must be presented at the conference by one of the authors. Topics for submissions include but are not limited to the following: T1: Next Generation Networks Artificial Intelligence-enabled communications Data center network architectures and performance Future Internet and next-generation networking architectures Energy-efficient green communications Heterogeneous multi-layer and multi-domain wireless-wireline internetworking High speed and parallel processing architectures for next generation routers and switches Intent-based network control and management Optical/photonic network Small cell networks Cognitive radio network Network Functions Virtualization (NFV) Mobile Cloud Computing (MCC) and Mobile Edge Computing (MEC) Mobile security: device, application, and data Networked flying vehicles such as UAVs and drones Next-generation access networks Next-generation anomaly, intrusion, and attack detection/prevention Next-generation flow management: resource sharing, congestion control Next-generation Internet applications and service Next-generation networking protocols Next-generation network management and control Open communities, open API, open source Operational and research issues with IPv6 Overlay and peer-to-peer (P2P) networking Quality of Service (QoS) and Quality of Experience (QoE) in next-generation networks Resource orchestration in next-generation networks Future network platforms, software and services Network theory and network science T2: Next Generation Communications System Network Convergence Issue, Architecture, Applications and 5G/6G Wireless Technologies Long Term Evaluation (LTE) Performance Evaluation of NGN Networks Experimental and Simulated Testbeds Mobility Across Networks Vehicular Communications P2P Architectures for NGN Universal Mobile Telecommunications System (UMTS) T3: Computing methodologies for machine intelligence New computing theories, architectures, and models New computing devices, hardware, and software New computing paradigms, such as quantum computing, photonic computing, bio-computing, bio- inspired computing, and brain-like computing New computing systems, such as intelligent supercomputing, heterogeneous computing clusters, domain-specific computing, and wide-area collaborative computing Computation-driven machine intelligence, cognitive computing, collaborative human-computer computing, and swarm intelligence T4: Computational technology achieved through AI-based methodologies Collaboration and reconfiguration of computational hardware and software Intelligent understanding and decomposition of computing tasks Intelligent scheduling and adaptation of computing resources Trusted computing and privacy computing Ubiquitous computing and transparent T5: Scientific findings achieved through machine intelligence, data, and computing methodologies Intelligent computational materials science Intelligent computational biology Intelligent computational astronomy Intelligent computational pharmacy Intelligent computational social science T6: Computing Technologies for Signal Processing Theory and Methods for Signal Processing Novel Applications of Signal Processing Signal Processing for Communication and Networking Mixed Signal Processing Multidimensional signal processing Multimedia Signal Processing
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