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。

Nintendo has updated their upscaling patent application by indicating they could use convolutional neural networks.

The Universidade Federal do Amazonas-based research team has developed an Artificial Neural Network (ANN) model that utilizes satellite imagery and deep learning techniques to detect wildfires in the ...

人民财讯3月13日电，2025年3月，狄耐克脑电波交互事业部的彭俊仁博士在国际期刊《Journal of Neural Engineering（JNE）》发表题为：“Explainable multiscale temporal convolutional neural network model for sleep stage detection based on ...

Introduction: Residential load forecasting is a challenging task due to the random fluctuations caused by complex correlations and individual differences. The existing short-term load forecasting ...

Abstract: Gas sensors form a critical foundation for gas concentration prediction (GCP) tasks, providing the necessary technological support for the transmission and processing of industrial gas data.

Abstract: WiFi-based localization has become the prevailing localization technology for indoors, due to minimal hardware requirements, high-precision, and ubiquitous access. However, traditional ...

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 ...