Randomly Initialized CNN with Densely Connected Stacked Autoencoder for Efficient Fire Detection

Keyphrases

• EfficientNet 100%
• Fire Detection 100%
• Densely Connected 100%
• Stacked Autoencoder 100%
• False Alarm Rate 50%
• Vanishing Gradient Problem 50%
• Deep Model 33%
• Recognition Ability 33%
• Computer Vision 16%
• Color Features 16%
• Convergence Rate 16%
• Initialize 16%
• Scene Recognition 16%
• Fast Convergence 16%
• Feedforward Neural Network 16%
• Interesting Research 16%
• Computational Complexity 16%
• Sensor-based 16%
• Vision Sensor 16%
• Baseline Research 16%
• Effective Representation 16%
• Fire Recognition 16%
• Dense Connection 16%
• Fire Scene 16%
• Cost-aware 16%
• Offer Evaluation 16%
• Slow Convergence 16%
• Classification Decision 16%
• Lightweight Model 16%
• Useful Research 16%
• Edge Devices 16%
• Deep Neural Architecture 16%
• Very Deep Networks 16%
• Linearly Connected 16%
• Input Shaping 16%

Computer Science

• Convolutional Neural Network 100%
• Autoencoder 100%
• Convergence Speed 66%
• High False Alarm Rate 66%
• Network Architecture 33%
• Fast Convergence 33%
• Computational Complexity 33%
• color feature 33%
• Slow Convergence 33%
• Feed Forward Neural Networks 33%
• False Alarm Rate 33%
• Computer Vision 33%
• Vertebral Column 33%