The ability to associate touch with other modalities has huge implications for humans and
computational systems. However multimodal learning with touch remains challenging due to …

In recent years, human hand‐based robotic hands or dexterous hands have gained
attention due to their enormous capabilities of handling soft materials compared to …

As artificial intelligence technology progresses, deep learning models are increasingly
utilized for machine fault classification. However, a significant drawback of current state-of …

Convolutional neural networks-based object detection techniques have achieved positive
performances. However, due to the limitations of local receptive field, some existing object …

This paper investigates sensory perception's pivotal role as a universal communicative
bridge across varied cultures and disciplines, and how it manifests its value in the study of …

Delineation of retinal vessels in fundus images is essential for detecting a range of eye
disorders. An automated technique for vessel segmentation can assist clinicians and …