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AI Model for Extracting Patterns from EMG Data
Application
Aritificial neural network-based dynamical systems modeling on electromyography (EMG) data for simultaneously estimating de-noised, high-resolution muscle activation signals across multiple muscles with millisecond-timescale precision.
Key Benefits
Generates models that produce estimates that avoid trivial output solutions (e.g., replicating...
Published: 11/5/2025
Contributor(s): Lahiru Wimalasena, Chethan Pandarinath, Mohammad Reza Keshtkaran
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Efficient Combinatorial Optimization
Application
Optimization heuristic for solving large-scale combinatorial problems.
Key Benefits
Efficient exploration of highly non-convex instances.
Capable of handling large-scale problems.
Reduces total computation time through massive parallelization.
Especially designed for unconstrained binary problems.
Market Summary
The combinatorial...
Published: 9/22/2025
Contributor(s): Stefan Boettcher
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Autonomic Formation of Wireless Mesh Networks (WMN)
Application
Autonomical control of the formation of WMNs to enable node density control, frequency diversity and cooperative, multi-domain software-defined networking (SDN) on large-scale wireless mesh networks.
Key Benefits
Enhanced capacity of wireless mesh networks.
Robust to changes in nodes (new nodes going up, old nodes going down, etc.).
Enables...
Published: 9/3/2025
Contributor(s): Sergio Luis Dias Lima Gramacho, Avani Wildani
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