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[HTML][HTML] Revolutionizing RPAS logistics and reducing CO2 emissions with advanced RPAS technology for delivery systems
To manage remotely piloted aircraft system (RPAS) networks effectively, this research
presents a multi-objective location-routing optimization model. This model integrates time …
presents a multi-objective location-routing optimization model. This model integrates time …
Pricing in spatial classification system in non-symmetric market demand based on the calculations of double interval grey numbers
Purpose The contemporary landscape of supply chains necessitates a comprehensive
integration of multiple components encompassing production, distribution and customer …
integration of multiple components encompassing production, distribution and customer …
Dynamic obstacle avoidance strategy for autonomous vehicles based on LSTM model trajectory prediction under urban roads
S Feng, F Liu, S Zhou, X Wong… - Proceedings of the …, 2025 - journals.sagepub.com
Studying obstacle avoidance strategies for self-driving cars is important research direction.
We propose a LSTM-based model for predicting the trajectories of “obstacles” around the …
We propose a LSTM-based model for predicting the trajectories of “obstacles” around the …
[PDF][PDF] Cleaner Logistics and Supply Chain
A Mahmoodi, L Hashemi, J Laliberte, RC Millar… - researchgate.net
To manage remotely piloted aircraft system (RPAS) networks effectively, this research
presents a multi-objective location-routing optimization model. This model integrates time …
presents a multi-objective location-routing optimization model. This model integrates time …