most citedAn Application of Deep Learning for Sweet Cherry Phenotyping using YOLO Object Detection

3 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DB2026

Space-efficient B-tree Implementation for Memory-Constrained Flash Embedded Devices

Nadir Ould-Khessal, Scott Fazackerley, Ramon Lawrence

Small devices collecting data for agricultural, environmental, and industrial monitoring enable Internet of Things (IoT) applications. Given their critical role in data collection,…

cs.LG2023★ 2 cited

LearnedSort as a learning-augmented SampleSort: Analysis and Parallelization

Ivan Carvalho, Ramon Lawrence

This work analyzes and parallelizes LearnedSort, the novel algorithm that sorts using machine learning models based on the cumulative distribution function. LearnedSort is analyzed…

cs.DB2023

An Efficient B-tree Implementation for Memory-Constrained Embedded Systems

Nadir Ould-Khessal, Scott Fazackerley, Ramon Lawrence

Embedded devices collect and process significant amounts of data in a variety of applications including environmental monitoring, industrial automation and control, and other Inter…

cs.DB2023

Estimation of Average Annual Daily Bicycle Count Using Bike-Share GPS Data and Bike Counter Data for an Urban Active Transportation Network

Marzi Rafieenia, Liza Wood, Mohsen Zardadi +2

In 2018, the City of Kelowna entered into a license agreement with Dropbike to operate a dockless bike-share pilot in and around the downtown core. The bikes were tracked by the us…

cs.CV2023★ 3 cited

An Application of Deep Learning for Sweet Cherry Phenotyping using YOLO Object Detection

Ritayu Nagpal, Sam Long, Shahid Jahagirdar +4

Tree fruit breeding is a long-term activity involving repeated measurements of various fruit quality traits on a large number of samples. These traits are traditionally measured by…