Abstract: Split computing (SC) is an emerging technique to perform the inference task of deep neural network (DNN) models using both mobile devices and cloud/edge servers in a hybrid manner. To ...
Abstract: Heart disease prediction and detection has long been considered as a critical issue. Early detection of heart disease is an important issue in health care services (HCS). In growing amount ...
Abstract: Of late, deep neural networks have become ubiquitous in mobile applications. As mobile devices generally require immediate response while maintaining user privacy, the demand for on-device ...
Abstract: is an important problem in computer-assisted orthopedic surgery (CAOS). As one typical example, the pre-operative space where the patient-specific surgical plan is usually made needs to be ...
Abstract: Computer Architecture consists of some basic design based on Computer Organization and Architecture (COA) such as logic design. Leading students to improve knowledge about COA needs a ...
Abstract: Multispectral light detection and ranging (LiDAR) point clouds, as a new kind of data, can be characterized by high consistency and integrity of spectral information geometric data. which ...
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