A comprehensive benchmark of deep learning libraries on mobile devices
Deploying deep learning (DL) on mobile devices has been a notable trend in recent years.
To support fast inference of on-device DL, DL libraries play a critical role as algorithms and …
To support fast inference of on-device DL, DL libraries play a critical role as algorithms and …
MobileHumanPose: Toward real-time 3D human pose estimation in mobile devices
Currently, 3D pose estimation methods are not compatible with a variety of low
computational power devices because of efficiency and accuracy. In this paper, we revisit a …
computational power devices because of efficiency and accuracy. In this paper, we revisit a …
A comprehensive deep learning library benchmark and optimal library selection
Deploying deep learning (DL) on mobile devices has been a notable trend in recent years.
To support fast inference of on-device DL, DL libraries play a critical role as algorithms and …
To support fast inference of on-device DL, DL libraries play a critical role as algorithms and …
OVER THE COUNTER STOCKS DATA ACQUISITION & ANALYSIS WITH TIME SERIES PREDICTION
YA GIWA - International Journal of Social Sciences and Scientific …, 2024 - ijssass.com
ABSTRACT Over-the-counter (OTC) stocks are securities that are traded outside of
traditional exchanges and are usually issued by smaller companies. These stocks can be …
traditional exchanges and are usually issued by smaller companies. These stocks can be …
Reinforcement learning for collaborative robots pick-and-place applications: a case study
The number of applications in which industrial robots share their working environment with
people is increasing. Robots appropriate for such applications are equipped with safety …
people is increasing. Robots appropriate for such applications are equipped with safety …
Impact of thermal throttling on long-term visual inference in a CPU-based edge device
T Benoit-Cattin, D Velasco-Montero, J Fernández-Berni - Electronics, 2020 - mdpi.com
Many application scenarios of edge visual inference, eg, robotics or environmental
monitoring, eventually require long periods of continuous operation. In such periods, the …
monitoring, eventually require long periods of continuous operation. In such periods, the …
Benchmarking deep learning models for instance segmentation
S Jung, H Heo, S Park, SU Jung, K Lee - Applied Sciences, 2022 - mdpi.com
Instance segmentation has gained attention in various computer vision fields, such as
autonomous driving, drone control, and sports analysis. Recently, many successful models …
autonomous driving, drone control, and sports analysis. Recently, many successful models …
A novel CNN ensemble framework for bearing surface defects classification based on transfer learning
J Ma, M Liu, S Hu, J Fu, G Chen… - … Science and Technology, 2022 - iopscience.iop.org
Bearing surface defect detection and classification methods based on machine vision have
been widely used in bearing quality inspection due to their high-speed, high-precision, and …
been widely used in bearing quality inspection due to their high-speed, high-precision, and …
A Review on the Application of Internet of Medical Things in Wearable Personal Health Monitoring: A Cloud-Edge Artificial Intelligence Approach
The advent of the fifth-generation mobile communication technology (5G) era has catalyzed
significant advancements in medical diagnosis delivery, primarily driven by the surge in …
significant advancements in medical diagnosis delivery, primarily driven by the surge in …
An empirical study on the performance and energy consumption of ai containerization strategies for computer-vision tasks on the edge
RM Hampau, M Kaptein, R Van Emden, T Rost… - Proceedings of the 26th …, 2022 - dl.acm.org
Context. The rise of use cases of AI catered towards the Edge, where devices have limited
computation power and storage capabilities, motivates the need for better understating of …
computation power and storage capabilities, motivates the need for better understating of …