GitHub

mohansree14/Bayesian-Deep-Learning-for-Probabilistic-Financial-Forecasting

This project implements state-of-the-art deep learning models for financial time series forecasting with a focus on uncertainty quantification. The system provides not just point predictions, but ...
Frontiers

MoltiTox: a multimodal fusion model for molecular toxicity prediction

1 Department of Computer Science and Engineering, Sungkyunkwan University, Suwon, Republic of Korea 2 Department of Systems Management Engineering, Sungkyunkwan University, Suwon, Republic of Korea ...
IEEE

Transformer Fault Diagnosis Based on Hybrid-Weighted and Multi-Scale One-Dimensional Convolutional Neural Network

Abstract: To address the issues of low accuracy and imbalanced datasets in transformer fault diagnosis, this paper proposes a fault diagnosis model based on a multi-scale one-dimensional convolutional ...
The Brighterside of News on MSN

Smartwatch heart signals may offer an accurate and safe way to verify age online

Age checks no longer stop at store counters or ticket booths. They now shape access to social media, online games, streaming services, and regulated products such as alcohol, tobacco, and gambling. In ...
IEEE

Breaking Neural Networks Through Algebraic Lens: A Preliminary Analysis of Mathematical Vulnerabilities in AI Architectures

Abstract: Modern deep neural networks, particularly transformer architectures, have achieved unprecedented performance across various domains through sophisticated mathematical structures that remain ...
GitHub

CascadedViT: Cascaded Chunk-FeedForward and Cascaded Group Attention Vision Transformer

This is the official repository of CascadedViT: Cascaded Chunk-FeedForward and Cascaded Group Attention Vision Transformer Srivathsan Sivakumar, Faisal Z. Qureshi CascadedViT uses Chunk-FFNs with a ...