In this paper, we present a new framework - task-oriented modeling, learning and recognition which aims at understanding the underlying functions, physics and causality in using objects as “tools”.

Object-oriented convolutional neural network (CNN) has been proven to be an effective classification method for very fine spatial resolution remotely sensed imagery. It can obtain higher accuracy and ...

To address these challenges, this study implemented and evaluated a novel laboratory-result-oriented modular teaching model, explicitly integrating ISO 15189 principles. The study assessed the design, ...

Netflix replaced a CQRS implementation using Kafka and Cassandra with a new solution leveraging RAW Hollow, an in-memory object store developed internally. Revamped architecture of Tudum offers ...