Over the years, researchers have proposed multiple approaches to reduce the number of parameters Deep Learning models have.Due to the complexity of compressing models, some authors have opted to train Reinforcement Learning agents that learn how to compress a particular model without losing considerable accuracy.Nonetheless, training an agent for e
The article presents the gradient rod brake of microhardness changes as a function of the distance from the material surface after turning with a wedge provided with a coating with a ceramic intermediate layer.The investigation comprised the influence of cutting speed on surface integrity microhardness Vitamin B-1 in dry machining.The tested materi
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CVRP (Capacitated Vehicle Routing Problems) is the integrated optimization of VRP and Bin Packing Problem (BPP), which has far-reaching practical significance, because only by taking both loading and routing into consideration can we make sure the delivery route is the most economic and the items are completely and reasonably loaded into the vehicl
The sprouting of potato tubers during storage is a significant problem that suppresses obtaining high quality seeds or fried products.In this study, the potential of fusing Mop Buckets data obtained from visible (VIS)/near-infrared (NIR) spectroscopic and hyperspectral imaging systems was investigated, to improve the prediction of primordial leaf c