Aiming at the problems of the high dimensionality of features extracted by tool wear characterization sensors and the high similarity of the same tool wear state, a tool wear state recognition model ...

In this paper, we propose a unified clustering method named power-weighted nearest-neighbor robust mean-shift (MP-NN-RMS) algorithm, which is a kernel density estimation (KDE)-based method. The ...

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// Kernel: One block per query; each thread computes local top-k, then merge using shared memory.

Introduction: Understanding the neural code has been one of the central aims of neuroscience research for decades. Spikes are commonly referred to as the units of information transfer, but multi-unit ...