4 accepted papers
Wildfire risk prediction remains a critical yet challenging task due to the complex interactions among fuel conditions, meteorology, topography, and human activity. Despite growing interest in data-driven approaches, publicly available benchmark datasets that support long-term temporal modeling, lar
With the increasing number of items requiring handling simultaneously in complex logistics, offline three-dimensional packing methods need to plan larger numbers of items. Existing deep reinforcement learning (DRL)-based packing methods cannot plan for large numbers of items while keeping high-quali
The online setting brings greater flexibility and practicality to the three-dimensional bin packing problem (3DBPP) but at the cost of algorithm performance. Existing methods mitigate the performance impact by introducing semionline settings with look-ahead or buffer zones. However, these methods ei
To enhance the embedding capacity and security of reversible data hiding in encrypted images (RDHEI), an RDHEI algorithm based on variational lossless compression (VLC) and dual encryption is proposed. Firstly, VLC model is introduced to ensure reversibility while achieving high embedding capacity.…