This project implements a brute-force backtracking algorithm to find Eulerian circuits in undirected graphs. It was developed as part of CPS420 (Algorithm Design) at Toronto Metropolitan University.
The demand for immersive, realistic graphics in mobile gaming and AR or VR is pushing the limits of mobile hardware. Achieving lifelike simulations of fluids, cloth, and other materials historically ...
Abstract: Building an interpretable fault detection and diagnostic model based on few-shot circuit samples and prior information about circuit structures is of significant importance. To fill these ...
Abstract: Subcircuit matching in a large-scale analog circuit is a fundamental problem in VLSI computer-aided design (CAD). Existing approaches suffer from a poor scalability issue for a large-scale ...
A generative engine for automatic discovery of analog circuit topologies by representing circuits as Eulerian circuits and using a decoder-only transformer to predict the next device pin.
This report used a new double knockout mouse model to investigate the role of two neuropeptides, substance P and CGRPa, in pain signaling. There is convincing evidence that double knockout of these ...
Contemporary modeling approaches to the dynamics of neural networks include two important classes of models: biologically grounded spiking neuron models and functionally inspired rate-based units. We ...
Cancers are complex adaptive diseases regulated by the nonlinear feedback systems between genetic instabilities, environmental signals, cellular protein flows, and gene regulatory networks.
From driving cancer research forward to accurately predicting the weather, Computer Scientists are powering progress. In fact everything from social care to cybersecurity or even space travel, relies ...