Abstract: This study addresses the critical challenge of waste management at the Bandung Institute of Technology, where manual waste sorting is time-consuming, labor-intensive, and prone to errors due ...
However, in indoor environments, non-line-of-sight (NLOS) signals significantly degrade the ranging performance of UWB ...
Abstract: Solving constrained multi-objective optimization problems (CMOPs) is a challenging task due to the presence of multiple conflicting objectives and intricate constraints. In order to better ...
Read more about AI and machine learning drive digital transformation across global mining operations on Devdiscourse ...
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