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Communication

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Low precision decentralized distributed training over IID and non-IID data.

Neural networks : the official journal of the International Neural Network Society
Decentralized distributed learning is the key to enabling large-scale machine learning (training) on the edge devices utilizing private user-generated local data, without relying on the cloud. However, practical realization of such on-device training...

Training in the protocol for robotic undocking for life emergency support (RULES) improves team communication, coordination and reduces the time required to decouple the robotic system from the patient.

The international journal of medical robotics + computer assisted surgery : MRCAS
INTRODUCTION: Robotic surgery has expanded on it's surgical application and it is also noted an increase in surgical procedures complexity. Occurrence of emergency situations that require conversion of the minimally invasive access route to open acce...

Comprehensive Analysis of Network Slicing for the Developing Commercial Needs and Networking Challenges.

Sensors (Basel, Switzerland)
Network slicing (NS) is one of the most prominent next-generation wireless cellular technology use cases, promising to unlock the core benefits of 5G network architecture by allowing communication service providers (CSPs) and operators to construct s...

A Joint Automatic Modulation Classification Scheme in Spatial Cognitive Communication.

Sensors (Basel, Switzerland)
Automatic modulation discrimination (AMC) is one of the critical technologies in spatial cognitive communication systems. Building a high-performance AMC model in intelligent receivers can help to realize adaptive signal synchronization and demodulat...

Trends in artificial intelligence in nursing: Impacts on nursing management.

Journal of nursing management
OBJECTIVE: To investigate the academic use of artificial intelligence (AI) in nursing.

Analysis of Cross-Cultural Communication in English Subjects and the Realization of Deep Learning Teaching.

Computational intelligence and neuroscience
In subject teaching, subject characteristics are the logical starting point for teaching development, and a deep understanding of subject characteristics is the basis for effective teaching. In practice, due to ignoring the cross-cultural understandi...

RIS-Assisted Multi-Antenna AmBC Signal Detection Using Deep Reinforcement Learning.

Sensors (Basel, Switzerland)
Signal detection is one of the most critical and challenging issues in ambient backscatter communication (AmBC) systems. In this paper, a multi-antenna AmBC signal detection method is proposed based on reconfigurable intelligent surface (RIS) and dee...

Research on Data Security Communication Scheme of Heterogeneous Swarm Robotics System in Emergency Scenarios.

Sensors (Basel, Switzerland)
In emergency scenarios where the on-site information is completely lacking or the original environmental state has been completely changed, autonomous and mobile swarm robotics are used to quickly build a rescue support system to ensure the safety of...

Patient communication in radiology: Moving up the agenda.

European journal of radiology
Optimised communication between patients and the imaging team is an essential component of providing patient-centred and value-based care. Communication with patients can be challenging in the setting of busy radiology departments where there is a fo...

Reducing Detrimental Communication Failure Impacts in Microgrids by Using Deep Learning Techniques.

Sensors (Basel, Switzerland)
A Microgrid (MG), like any other smart and interoperable power system, requires device-to-device (D2D) communication structures in order to function effectively. This communication system, however, is not immune to intentional or unintentional failur...