Topology-aware deep learning model enhances EEG-based motor imagery decoding

Electroencephalography (EEG) is a fascinating noninvasive technique that measures and records the brain's electrical activity. It detects small electrical signals produced when neurons in the brain ...
EurekAlert!

Stretching shapes and building tools: topology at Cornell

Topology has real implications in the world. For example, topological techniques can be brought to bear on calculating the trajectories of spacecraft, and missions have been saved by the efforts of ...
Nature

Network topology articles from across Nature Portfolio

Network topology is the "shape" of a network of biological interactions and shows how the nodes — the parts of the network where elements interact — are connected to each other. Common topologies that ...
SDxCentral

The network engine behind AWS’ massive Rainier supercluster

Custom NeuronLink interconnects and EFA fabric enable ultra-low latency across tens-of-thousands of UltraServers ...
Frontiers

Network science and topological data analysis for understanding brain disorders

The brain’s function and integrity emerge not only from properties of individual regions, but, more fundamentally, from the intricate web of connections ...
AZoAI on MSN

Chiba University Researchers Develop Topology-Aware AI To Decode Brain Signals For Thought-Controlled Devices

Researchers at Chiba University have developed the Topology-Aware Multiscale Feature Fusion (TA-MFF) network, an advanced deep learning model that enhances the decoding of motor imagery EEG signals ...
IEEE

Network Games Induced Prior for Graph Topology Learning

Abstract: Learning the graph topology of a complex network is challenging due to limited data availability and imprecise data models. A common remedy in existing works is to incorporate priors such as ...
IEEE

Byzantine Fault Tolerance Consensus in Cyber-Physical System: Probabilistic Reliability Analysis under Various Network Topologies

Abstract: Industrial Cyber-Physical Systems (ICPS) integrate computation, perception, and control technologies to drive intel ligent manufacturing toward enhanced autonomy and efficiency. Within the ...
Princeton University

Course CEE 439/539: Structural Health Monitoring (SHM)

Needs for optimization of maintenance costs, increase of safety, and continuous developments of new construction materials and methods, as well as recent technological developments in various branches ...
BBC

Networks - Eduqas Bus network topologies

Bus network topologies are used when a small, cheap and often temporary network is needed that does not rely on very high data-transfer speeds. They may be used in locations such as a laboratory or ...
Opinion
Sunday Trust on MSNOpinion

Nile University Don Charts Pathways For Sustainable Buildings In Nigeria, At 5th Inaugural Lecture

Nile University of Nigeria has reaffirmed its reputation as a hub of thought leadership and innovation with the delivery of its 5th Inaugural Lecture, where Engineer Professor Abdulhameed Danjuma ...