Human-robot perception in industrial environments: A survey
Perception capability assumes significant importance for human–robot interaction. The
forthcoming industrial environments will require a high level of automation to be flexible and …
forthcoming industrial environments will require a high level of automation to be flexible and …
Improved yolov5: Efficient object detection using drone images under various conditions
HK Jung, GS Choi - Applied Sciences, 2022 - mdpi.com
With the recent development of drone technology, object detection technology is emerging,
and these technologies can also be applied to illegal immigrants, industrial and natural …
and these technologies can also be applied to illegal immigrants, industrial and natural …
An overview of deep learning techniques for COVID-19 detection: methods, challenges, and future works
Abstract The World Health Organization (WHO) declared a pandemic in response to the
coronavirus COVID-19 in 2020, which resulted in numerous deaths worldwide. Although the …
coronavirus COVID-19 in 2020, which resulted in numerous deaths worldwide. Although the …
Automated Cobb angle measurement for adolescent idiopathic scoliosis using convolutional neural network
W Caesarendra, W Rahmaniar, J Mathew, A Thien - Diagnostics, 2022 - mdpi.com
The Cobb angle measurement of the scoliotic spine is prone to inter-and intra-observer
variations in the clinical setting. This paper proposes a deep learning architecture for …
variations in the clinical setting. This paper proposes a deep learning architecture for …
A systematic review of object detection from images using deep learning
J Kaur, W Singh - Multimedia Tools and Applications, 2024 - Springer
The development of object detection has led to huge improvements in human interaction
systems. Object detection is a challenging task because it involves many parameters …
systems. Object detection is a challenging task because it involves many parameters …
[HTML][HTML] Application of a novel deep learning technique using CT images for COVID-19 diagnosis on embedded systems
Problem A novel coronavirus (COVID-19) has created a worldwide pneumonia epidemic,
and it's important to make a computer-aided way for doctors to use computed tomography …
and it's important to make a computer-aided way for doctors to use computed tomography …
[HTML][HTML] Benchmarking edge computing devices for grape bunches and trunks detection using accelerated object detection single shot multibox deep learning models
Purpose: Visual perception enables robots to perceive the environment. Visual data is
processed using computer vision algorithms that are usually time-expensive and require …
processed using computer vision algorithms that are usually time-expensive and require …
A deep-learning framework running on edge devices for handgun and knife detection from indoor video-surveillance cameras
The early detection of handguns and knives from surveillance videos is crucial to enhance
people's safety. Despite the increasing development of Deep Learning (DL) methods for …
people's safety. Despite the increasing development of Deep Learning (DL) methods for …
A system for a real-time electronic component detection and classification on a conveyor belt
D Varna, V Abromavičius - Applied Sciences, 2022 - mdpi.com
The presented research addresses the real-time object detection problem with small and
moving objects, specifically the surface-mount component on a conveyor. Detecting and …
moving objects, specifically the surface-mount component on a conveyor. Detecting and …
Deep learning and quantum algorithms approach to investigating the feasibility of wormholes: A review
W Rahmaniar, B Ramzan, A Ma'arif - Astronomy and Computing, 2024 - Elsevier
Wormholes, hypothetical structures connecting distant regions of spacetime, have long
captured the imagination of scientists and science fiction fans alike. Wormholes are a …
captured the imagination of scientists and science fiction fans alike. Wormholes are a …