Deep Learning combines high-performance computing leading to unusual solutions for multi-model data analysis problems. Deep Learning-empowered systems can nowadays achieve performance levels in various data analysis tasks comparable to, or even exceeding, those of human beings. These advancements have the potential to open new high-impact applications in different environments. In this special issue, the authors will be through theoretical, methodological, and experiments contributions to fully exploit Deep Learning solutions in smart applications.
Topics/Areas
• Lightweight Deep Learning models for visual and audio data analysis and applications
• Deep Learning models for efficient multimodal data analysis and fusion
• Sensor data analysis based on Deep Learning
• Efficient Deep Learning methodologies for the Internet of Things
• Deep Learning for applications in smart homes, smart lighting
• Deep Learning for smart city applications
• Deep Learning for intelligent transportation systems
• Deep learning for natural language processing and applications
• Deep learning for medical sciences applications.
• Deep learning for Virtual Reality applications.
• Deep learning for Metaverse applications
• Deep learning and AI Contribution to Optimum Technological Roadmapping
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