An innovative deep-learning technique for fuel demand estimation in maritime transportation: a step toward sustainable development and environmental impact mitigation

Engineering

• Sustainable Development 100%
• Maritime Transportation 100%
• Learning Technique 100%
• Deep Learning Method 100%
• Operational Cost 33%
• Learning Approach 33%
• Cost Reduction 33%
• Sea State 33%
• Mean Square Error 33%
• Long Short-Term Memory 33%
• Consumption Pattern 33%
• Convolutional Neural Network 33%

Earth and Planetary Sciences

• Environmental Impact Assessment 100%
• Port 100%
• Maritime Transportation 100%
• Fuel Consumption 66%
• Weather Condition 33%
• Sea State 33%
• Cost Reduction 33%
• United Arab Emirates 33%
• Saudi Arabia 33%
• Port Management 33%

Material Science

• Fuel Consumption 100%
• Seawater 50%