Achieves 90.23% accuracy on 102 flower species from Oxford Dataset. Lightweight (17.9MB) model with fine-tuning and data augmentation for optimal performance. Fall detection system using Bosch BHI360 ...

but recordings for training data are scarce and difficult to collect. Networks that achieved the highest accuracy across all sample sizes was a 10-layer CNN (96.43 %) and a pre-trained ResNet50 model ...

With enterprises prioritizing secure AI deployments, it’s essential to ensure proprietary data is truly an asset, not a ...

However, its exploitation has been hindered by its data-demanding character. As a remedy, we propose here a novel data augmentation approach that combines the multiplex network modelling of ...

When the Ohio Board of Pharmacy unveiled a new data tool this year, it revealed a disturbing fact: The number of pharmacies ...

In contrast to prior UHR methods that focused on independent feature extraction, we emphasize data augmentation and multimodal feature fusion to alleviate the long-tail problem. In this paper, we ...

As artificial intelligence (AI) progresses from offering suggestions to making autonomous decisions, organizations face a ...

Artificial intelligence is revolutionising the way we tackle waste—from smarter recycling systems to optimised supply chains ...

Ghana's roadmap to a safer future through Tobacco Harm Reduction: Reflections on the Lives Saved Report, Nigeria and Kenya ...

Today’s enterprises have embraced digital evolution. Business deals are conducted in online spaces, contracts are signed with a keyboard, data is held in physical servers and the cloud, and ...

The following article was originally published by the Ohio Capital Journal and is available to the Canton Repository under a ...