🏆 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.

Code for paper: "Road object detection: a comparative study of deep learning-based algorithms" https://link.springer.com/article/10.1007/s11042-022-12447-5

Predicting Usefulness of Code Review Comments using Textual Features and Developer Experience

Behavioural and Neural Mechanisms of Memory Replay in Monkeys

Sequential Trial Emulation

Comparitive Study based on the accuracies

This project explores the formation of fetal ovarian reserve using comparative histology-derived metadata across mammalian species. Through structured exploratory analysis and visualization, it highlights species-specific developmental patterns while serving as a reproducible biological data science workflow that can be built upon.

A machine learning project exploring classification algorithms to predict UFC fight outcomes, developed for the Artificial Intelligence course at FEUP.

Digitaler Assistent für die typologische Systematisierung des Märchens

Framework for offensive-Language-Detection using Transformer and BiLSTM using two bench mark dataset - OLID and HateXplain.

Künstlicher Assistent für die inhaltliche Annotation des Märchens

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.

A comparative study of `cognitivefactory/interactive-clustering` package on NLP datasets.

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)

Paper's code of "How Effective Are Time Series Foundation Models for Epidemiological Data Analysis?"

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.

🔬 Comprehensive Multi-Model Analysis of AI-Driven Debugging Prompts | 13 AI Models Evaluated | Cross-Tier Evaluation Capability Discovered | MIT Licensed Academic Research | v0.1.0

Privacy On Blockchain. A comparative analysis of different approaches and techniques.

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