aMacFeeters Hamilton Neuro-Oncology Program, Princess Margaret Cancer Centre, University Health Network and University of Toronto, Toronto, ON, Canada ...

Deep learning has become a transformative technology for modern weed detection, offering significant advantages over traditional machine vision in robustness, scalability, and recognition accuracy.

This repository contains my work from the PyTorch for Deep Learning Professional Certificate offered by DeepLearning.AI. As a BIE/Data Engineer and AI Engineer, this certificate strengthens my deep ...

Abstract: Wearable piezoresistive pressure sensors measure the electrical resistance change under mechanical strain, but existing methods struggle with heterogeneous wavelength classification due to ...

While synthetic fertilizers are filled with complicated ingredients that most of us can't pronounce, said ingredients may not be as beneficial to the soil in our gardens as much as we'd like to think.

This study investigates the application of a deep learning model, YOLOv8-Seg, for the automated classification of osteoporotic vertebral fractures (OVFs) from computed tomography (CT) images. A ...

Deep learning has transformed the field of fruit classification by enabling automated systems to identify, grade and sort a wide variety of fruits with unprecedented accuracy and speed. Convolutional ...

Abstract: Among various computer vision tasks, such as image classification, few-shot learning, and image retrieval, processing typically occurs in Euclidean and hyperspherical spaces. In ...

In “Big data – a road map for smarter data,” I describe a set of machine learning architectures that will provide advanced capabilities to include image, handwriting, video, and speech recognition, ...