In recent times, Artificial Intelligence (AI) has become ubiquitous in technological fields, mainly due to its ability to perform computations in distributed systems or the cloud.Nevertheless, S.H.Figuarts for some applications -as the case of EMG signal processing- it may be highly advisable or even mandatory an on-the-edge processing, i.e., an em
A Compressed Data Partition and Loop Scheduling Scheme for Neural Networks
Neural networks (NNs) have been widely adopted in various application domains.Deeper NNs greatly enhance the output accuracy, but complex NNs with more parameters incur intensive memory accesses, and the data usually need to be partitioned since it may exceed the on-chip storage.However, there is no research considering the partition and scheduling
Remote Sensing Image Fusion at the Segment Level Using a Spatially-Weighted Approach: Applications for Land Cover Spectral Analysis and Mapping
Segment-level image fusion involves segmenting a higher spatial resolution (HSR) image to derive boundaries of land cover objects, and then extracting additional descriptors of image segments (polygons) from a lower spatial resolution (LSR) image.In past research, an unweighted segment-level fusion (USF) approach, Colander which extracts informatio
The use of mobile computing devices in microsurgery
Mobile computing devices (MCDs), such as smartphones and tablets, are revolutionizing medical practice.These devices are almost universally available and offer a multitude of capabilities, including online features, streaming capabilities, high-quality Baby Lotion cameras, and numerous applications.Within the surgical field, MCDs are increasingly b