Cognitive computing and wireless communications on the edge for healthcare service robots
In recent years, we have witnessed dramatic developments of mobile healthcare robots,
which enjoy many advantages over their human counterparts. Previous communication …
which enjoy many advantages over their human counterparts. Previous communication …
[HTML][HTML] Computational pathology: a survey review and the way forward
Abstract Computational Pathology (CPath) is an interdisciplinary science that augments
developments of computational approaches to analyze and model medical histopathology …
developments of computational approaches to analyze and model medical histopathology …
Deep learning models for real-time human activity recognition with smartphones
With the widespread application of mobile edge computing (MEC), MEC is serving as a
bridge to narrow the gaps between medical staff and patients. Relatedly, MEC is also …
bridge to narrow the gaps between medical staff and patients. Relatedly, MEC is also …
Faster R-CNN for multi-class fruit detection using a robotic vision system
An accurate and real-time image based multi-class fruit detection system is important for
facilitating higher level smart farm tasks such as yield mapping and robotic harvesting …
facilitating higher level smart farm tasks such as yield mapping and robotic harvesting …
An improved harris hawks optimization algorithm with simulated annealing for feature selection in the medical field
Harris Hawks Optimization (HHO) algorithm is a new metaheuristic algorithm, inspired by the
cooperative behavior and chasing style of Harris' Hawks in nature called surprise pounce …
cooperative behavior and chasing style of Harris' Hawks in nature called surprise pounce …
Diagnosis and recognition of grape leaf diseases: An automated system based on a novel saliency approach and canonical correlation analysis based multiple …
Efficient and fast segmentation of fruit symptoms is one of the major businesses nowadays in
the agro-economy. Manual segmentation and recognition of fruit symptoms is a hard job …
the agro-economy. Manual segmentation and recognition of fruit symptoms is a hard job …
A computation offloading method for edge computing with vehicle-to-everything
Nowadays, for improving the increasingly crowded traffic conditions, internet of vehicles
(IoV) emerges. In IoV, the increase of smart vehicle applications produces computation …
(IoV) emerges. In IoV, the increase of smart vehicle applications produces computation …
An Atrous Convolved Hybrid Seg-Net Model with residual and attention mechanism for gland detection and segmentation in histopathological images
Purpose A clinically compatible computerized segmentation model is presented here that
aspires to supply clinical gland informative details by seizing every small and intricate …
aspires to supply clinical gland informative details by seizing every small and intricate …
Vehicular task offloading and job scheduling method based on cloud-edge computing
Y Sun, Z Wu, K Meng, Y Zheng - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the rapid development of intelligent transportation systems (ITS), the Internet of
Vehicles (IoV) is gradually becoming mature, but at the same time, the scale of intelligent …
Vehicles (IoV) is gradually becoming mature, but at the same time, the scale of intelligent …
Dynamic resource provisioning for workflow scheduling under uncertainty in edge computing environment
Edge computing, an extension of cloud computing, is introduced to provide sufficient
computing and storage resources for mobile devices. Moreover, a series of computing tasks …
computing and storage resources for mobile devices. Moreover, a series of computing tasks …