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Med Robot : l'assistant chirurgical intelligent qui rend les opérations plus précises, plus sûres et accessibles à tous.
MAGSEAL is a proposed autonomous spacecraft repair system combining exterior self-healing polymers, magnetic nanocomposite guidance, and UV curing to detect hull punctures and reduce cabin air loss.
An offline-first MATLAB-based intelligent screening system that converts a fundus photograph into an explainable, safety-aware screening report for PHC-level use.
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We predicted building energy use from 75k records. Bagged trees cut error 24%, and the data shows where to retrofit first: buildings rated under 10 on Energy Star use 2-6x more than top-rated peers.
We compared linear regression, decision trees and boosted trees in MATLAB to predict building energy use. Boosted trees were best, cutting error by about 29% versus guessing the average.
Buildings contribute significantly to global energy consumption and carbon emissions. Our aim here is to understand and predict their energy usage to improve energy efficiency.
Retrofit Radar predicts how much energy a building should use based on its type, size, age, and climate, then flags buildings that use far more than similar ones.
The task is to predict Site EUI, the energy a building uses per square foot per year) for 9,705 buildings in a future year. The inputs are building characteristics and the local weather.
A building’s past predicts its energy future, built entirely in MATLAB.
Model to predict energy consumption
Leak-free, physics-informed MATLAB model predicting building energy use (RMSE 37.6, 34% better than baseline) that turns predictions into a retrofit shortlist of 1,123 high-waste buildings.
This MATLAB script predicts building energy use (site EUI) from building and climate data using gradient-boosted trees, checks its accuracy on held-out data, and saves test predictions to a CSV file.
Retrofit Radar predicts how much energy a building uses, then flags the buildings that use far more than comparable buildings in the same climate, so an organisation knows which ones to retrofit first
Turning Real-Time Asset Data into Predictive Maintenance Intelligence
In 2006, an LA heat wave knocked out power to 64,000 people simply because 800 transformers failed. Golden Fleece uses phase-change material to stop transformer overheating before the 2028 Olympics.
A real-time betting tool that profits by comparing sportsbook lines on MLB pitch speed with our own model, built on pitcher and batter data scraped from Baseball Savant.
Zero-tuning flight DSP receiver fusing 3-state EKF, Costas Loop & CCSDS frame sync to recover telemetry under -10 dB SNR and dynamic Doppler chirps.
Energy management on mars
Choir is a program that utilizes simulated receivers to decrypt signals with heavy noise and using various methods determine if a signal is real or just noise from elsewhere.
CT scans take images and stack them to build an organ or bone. This program takes these images, looks data from the image to rebuild and smooth out bones in order to be taken, and 3D printed with.
“Understanding and Mitigating Single Interference in Wireless Communication.” “Improving Wireless Signal Quality by Reducing . “A Study of Single Interference and Its Impact on Wireless
"Turning ocean waste into clean water through carbon innovation."
