The field of artificial intelligence has reached a point where simply adding more data or increasing the size of a model is not the best way to make it more intelligent. For the past few years, we ...
A marriage of formal methods and LLMs seeks to harness the strengths of both.
Abstract: This article introduces a novel fuzzy logic-enhanced neuroadaptive sliding mode control (FLENNSMC) framework, developed for vehicular platoon systems subject to a confluence of challenges.
Abstract: This article addresses adaptive fixed-time event-triggered asymptotic tracking control problem for nonlinear switched systems under arbitrary switching. By adding exponential terms with ...
This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...
A discrete-time signal is a sequence of numbers defined only at integer values of time. Addition combines two signals sample by sample. y[n] = x₁[n] + x₂[n] Used in mixing and superposition of signals ...
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