Abstract: This paper proposes a spatio-temporal graph convolutional network incorporating knowledge graph embeddings for hydrological time series prediction. A knowledge graph is constructed to ...
Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding behind training a neural network, helping you truly understand how deep ...
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, ...
Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...
Abstract: With the rapid development and wide application of unmanned aerial vehicles (UAVs), concerns about their safety and reliability are increasing. Anomaly detection of flight data and ...
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 ...
Real-time American Sign Language (ASL) recognition system using PyTorch and MediaPipe. Recognizes 25 common ASL gestures with 76.05% accuracy, optimized for RTX4070 GPUs. Features live webcam ...
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