Cognitive Computation and Systems

This study introduces a blazingly fast, no‐loss expert system for tic‐tac‐toe using decision trees called T3DT, which tries to emulate human gameplay as closely as possible. It does not make use of any brute force, minimax, or evolutionary techniques, but ...

Human motion prediction is an important and challenging task in computer vision with various applications. Recurrent neural networks (RNNs) and convolutional neural networks (CNNs) have been proposed to address this challenging task. However, RNNs exhibit ...

Here, the authors present a novel interactive prototype system that enhances the effectiveness and ingenuity for sound designers to explore the sound effect library created by layering in multi‐methods. They combine the explored methods of semantic ...

On the issue of low utilisation and acceptance of current adaptive cruise control (ACC), a multi‐objective adaptive cruise control (MO‐ACC) algorithm is developed in this study. Based on model predictive control theory, comprehensively considering the ...

Tensor computation evolves fast towards a prosperous existence in recent years, e.g. PyTorch. An immediate advantage of using tensor computation is that one does not need to implement low‐level parallelism to attain efficient computation, which is of ...