IEEE

Optimizing Supply Chain Performance Using Vision Transformer-Enhanced Temporal Convolutional Networks

Abstract: Good supply chain management (SCM) is vital for keeping global trade in balance since demand forecasting and inventory control can affect both operating costs and customer satisfaction in ...
EurekAlert!

Bionic wearable ECG with multimodal large language models: coherent temporal modeling for early ischemia warning and reperfusion risk stratification

The workflow illustrates data acquisition from wearable sensors, hierarchical temporal feature extraction at multiple granularities, multimodal alignment with clinical text knowledge, and dual-task ...
IEEE

Convolutional Neural Networks Demystified: A Matched Filtering Perspective-Based Tutorial

Abstract: Deep neural networks (DNNs) and especially convolutional neural networks (CNNs) have revolutionized the way we approach the analysis of large quantities of data. However, the largely ad hoc ...
HUB

Small changes make some AI systems more brain-like than others

Artificial intelligence systems that are designed with a biologically inspired architecture can simulate human brain activity before ever being trained on any data, according to new research from ...
News Medical

New AI models detect dementia with high accuracy using EEG signals

Researchers at örebro University have developed two new AI models that can analyze the brain's electrical activity and accurately distinguish between healthy individuals and patients with dementia, ...
Scientific Research Publishing

Zhang, X., Zhao, J.B. and LeCun, Y. (2015) Character-Level Convolutional Networks for Text Classification.

ABSTRACT: Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language ...