The key to addressing these challenges lies in separating the encoder and decoder components of multimodal machine learning models.

FabToy is a plush toy with a 24-sensor array of fabric-based pressure sensors that offers dense spatial sensing coverage ...

2025 年3月，狄耐克脑电波交互事业部一行前往厦门大学“脑认知与智能计算实验室”开展参观交流活动。此次受邀参观，是狄耐克在推动脑电波交互技术实际应用进程中的重要探索，加速相关技术在睡眠健康领域的创新与发展。

To address these issues, we propose a novel multi-level feature fusion model based on graph attention temporal convolutional network (MLFGCN) for short-term residential load forecasting. Methods: The ...

Therefore, this article proposes a gas prediction model based on the weighted loss channel-coupled attentional time convolutional network (WLCCTCN), which aims to capture the coupled information among ...

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep ...

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep ...

Designing an end-to-end framework that fully extracts the high-level features of EEG signals remains a challenge. In this study, we present a parallel spatial–temporal self-attention-based ...