Información de la conferencia

NNICE 2026: International Conference on Neural Networks, Information and Communication Engineering

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Día de Entrega:
2025-11-16
Fecha de Notificación:
Fecha de conferencia:
2026-01-30
Ubicación:
Hefei, China
Ediciones:
6
Vistas: 11077   Seguidores: 0   Asistentes: 1

Solicitud de Artículos

NNICE 2026 (International Conference on Neural Networks, Information and Communication Engineering) is an academic conference held in Hefei, China on 2026-01-30. The paper submission deadline is 2025-11-16.

The topics of interest for submission include, but are not limitedto: ◕ Neural Networks Convolutional Neural Networks (CNN Recurrent Neural Networks (RNN) Graph Neural Networks (GNN) Large-Scale Neural Networks Long Short-Term Memory (LSTM) Generative Adversarial Networks (GAN) Natural Language Processing (NLP) Deep Learning Transfer Learning Reinforcement Learning Meta-Learning Multimodal Learning Zero-Shot Learning Semi-Supervised Learning ◕ Communicaton Communication Networks Wireless Communication Mobile Communication Fiber Optic Communication Satellite Communication Communication Protocols Spectrum Sharing Quantum Communication Internet of Things (IoT) Communication Network Security Data Transmission Cloud Communication 5G/6G Technology Network Optimization Communication Channel Optimization Cellular Networks ◕ Information Information Theory Information Extraction Information Retrieval Information Security Information Fusion Information Visualization Semantic Information Processing Information Encoding Data Mining Privacy Preservation Data Management Big Data Analytics Data Integration Information Hiding Information Sharing ◕ Singal Processing Digital Signal Processing (DSP) Audio Signal Processing Image Signal Processing Video Signal Processing Complex Signal Processing Statistical Signal Processing Real Radar Signal Processing Weak Signal Detection Signal Enhancement Signal Denoising Signal Filtering Adaptive Filtering
Última actualización por Dou Sun el

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Revistas Relacionadas

CCFNombre CompletoFactor de ImpactoEditorISSN
BNeural Networks6.3Elsevier0893-6080
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