You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.
A machine learning project exploring classification algorithms to predict UFC fight outcomes, developed for the Artificial Intelligence course at FEUP.
Comparative study of Mealy vs Moore FSM architectures in Verilog - Multi-item vending machine controller with timing analysis, and power metrics (79-81.5MHz on Artix-7)
A project for the comparative analysis of NMT architectures (Seq2Seq LSTM, MarianMT, M2M100), evaluating accuracy, adaptability, noise robustness and potential improvements.
Comparison of protein structure prediction methods: Rosetta Ab Initio, which uses fragment assembly, Monte Carlo optimization and energy minimization, and a Linear Algebra Algorithm based on Cayley-Menger matrices.
The main goal of this work is to compare the performance of Basic CNN, VGG16, VGG19, ResNet50, and InceptionResNetV2 on a balanced, preprocessed version of the Plant Disease Recognition Dataset.