A new DCNN and EResNet model achieved an F1 score of 91.70% on an in-house conversational dataset, 2.8% higher than a BERT ...

A lightweight CNN-LSTM framework classifies negative, neutral, and positive sentiment from live video at 84.89 percent ...

B.E. CSE at Osmania University (2014-2018) and M.Tech CS / AI at SSSIHL. - saikrishnavadali05/Academic-CSE-Osmania-SSSIHL ...

Scaling capacitive pressure sensor arrays to large areas remains challenging due to electrode alignment errors, fabrication complexity, and limited dynamic range inherent in conventional ...

Yann LeCun and Brown University assistant professor Randall Balestriero have published a paper using a mathematical framework to show that models ...

High-performance brain-computer interfaces (BCIs) rely on stable neural representations, yet brain functional impairments ...

Classification is an AI task where the system assigns something to a category. Examples include sorting emails into spam and ...

Teaware, as a pivotal carrier of ceramic cultural heritage, encapsulates the craftsmanship, ingenuity, and aesthetic culture of specific historical epochs. However, digital inheritance of ancient kiln ...

"Using AI makes work faster." "From now on, people who can use AI will have an advantage." "Between Claude and ChatGPT, which ...

Learn natural language processing for market sentiment analysis: turn raw financial text into reliable ML models, clean ...

Environmental Audio Sound Classification from Log-Mel Spectrograms using a Deep 2D Convolutional Neural Network in PyTorch. - GideonMwiti/pytorch-audio-classification-cnn ...