This repository contains the implementation, benchmarks, and supporting tools for my MSc dissertation project: Self-learning Variational Autoencoder for EEG Artifact Removal (Key code only). Benchmark ...

Abstract: This paper proposes a smart grid load anomaly detection method based on Variational Autoencoder (VAE). By leveraging deep learning to analyze smart grid load data, the proposed method ...

AI is helping scientists crack the code on next-gen batteries that could replace lithium-ion tech. By discovering novel porous materials, researchers may have paved the way for more powerful and ...

Rumors of a new Plants vs. Zombies game are escalating, as one investigative team claims to know the name, launch date, price, and available platforms for the supposed next chapter in the classic ...

This repository contains the code and models used in the paper "Understanding European Heatwaves with Variational Autoencoders" submitted to Earth System Dynamics ...

Abstract: We use a $\beta$-variational autoencoder regularized by a denoising autoencoder to learn latent representations of sleep electroencephalography (EEG) timefrequency spectrograms in a ...

Recent advances in feature selection methods for breast cancer recurrence prediction: A systematic review. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not ...

ABSTRACT: Anomaly detection in complex crowd scenes is a challenging task due to the inherent variability in crowd behaviors, interactions, and scales. This paper proposes a novel hybrid model that ...

Jomo Kenyatta University of Agriculture and Technology, Juja, Kiambu County, Kenya. Where KL denotes the Kullback-Leibler divergence, and p(z) is a prior distribution over the latent space (typically ...