[HTML][HTML] Coffee disease classification at the edge using deep learning
JVYB Yamashita, JPRR Leite - Smart Agricultural Technology, 2023 - Elsevier
Brazil is the world's largest producer and exporter of coffee and the second largest
consumer of the beverage. The aim of this study is to embed convolutional networks in a low …
consumer of the beverage. The aim of this study is to embed convolutional networks in a low …
Optimized navigation of mobile robots based on Faster R-CNN in wireless sensor network
A Sevugan, P Karthikeyan… - … Journal of Sensors …, 2022 - ingentaconnect.com
Background: In recent years, deep learning techniques have dramatically enhanced mobile
robot sensing, navigation, and reasoning. Due to the advancements in machine vision …
robot sensing, navigation, and reasoning. Due to the advancements in machine vision …
[PDF][PDF] Edge Deep Learning Applied to Granulometric Analysis on Quasi-particles from the Hybrid Pelletized Sinter (HPS) Process.
The mining and metallurgical industry seeks to adapt to Industry 4.0 with the implementation
of Artificial Intelligence in the processes. The purpose of this paper is to develop the first …
of Artificial Intelligence in the processes. The purpose of this paper is to develop the first …
Edge deep learning towards the metallurgical industry: Improving the hybrid pelletized sinter (HPS) process
NF de C. Meira, MC Silva, CB Vieira, A Souza… - International Conference …, 2021 - Springer
The implementation of intelligent systems in the processes brings the industries of the
mining and metallurgy sectors closer to the context of Industry 4.0 and provides significant …
mining and metallurgy sectors closer to the context of Industry 4.0 and provides significant …
Design of YOLOv2-tiny accelerator based on PYNQ-Z2 platform
Y Zhao, B Hu, F Liu, T Yan… - … Conference on Information …, 2023 - spiedigitallibrary.org
Convolutional neural networks (CNNs) have been widely used in the field of image
recognition. To meet the massive computational requirements of CNNs, GPUs or other …
recognition. To meet the massive computational requirements of CNNs, GPUs or other …
[引用][C] Deep-learning-based visual odometry models for mobile robotics
[引用][C] Deep Learning e Device Edge na implementação de detetor de rasgo de correia transportadora de minério de ferro.
E Klippel - 2021