Error compensation of industrial robot based on deep belief network and error similarity
With the advantages of the high degree of freedom and large action space, industrial robots
are gradually widely used in high-end large-scale equipment automatic assembly fields …
are gradually widely used in high-end large-scale equipment automatic assembly fields …
Pose accuracy compensation of mobile industry robot with binocular vision measurement and deep belief network
W Wang, W Tian, W Liao, B Li - Optik, 2021 - Elsevier
It is very important to improve the absolute pose accuracy of the robot, in the automatic
drilling and riveting system of mobile industrial robot. This paper presents a practical …
drilling and riveting system of mobile industrial robot. This paper presents a practical …
Use of overlapping group LASSO sparse deep belief network to discriminate Parkinson's disease and normal control
T Shen, J Jiang, W Lin, J Ge, P Wu, Y Zhou… - Frontiers in …, 2019 - frontiersin.org
As a medical imaging technology which can show the metabolism of the brain, 18F-
fluorodeoxyglucose (FDG)-positron emission tomography (PET) is of great value for the …
fluorodeoxyglucose (FDG)-positron emission tomography (PET) is of great value for the …
[PDF][PDF] Deep leaning architectures and its applications: A survey
In the field of Artificial Intelligence (AI), Deep Learning is a method falls in the wider family of
Machine Learning algorithms that works on the principle of learning. Deep learning models …
Machine Learning algorithms that works on the principle of learning. Deep learning models …
Deep-learning-based separation of a mixture of dual-tracer single-acquisition PET signals with equal half-lives: a simulation study
J Xu, H Liu - IEEE Transactions on Radiation and Plasma …, 2019 - ieeexplore.ieee.org
Dual-tracer positron emission tomography (PET) can characterize various aspects of
physiology and function by a single scan, both of which increase the accuracy of the …
physiology and function by a single scan, both of which increase the accuracy of the …
Optimal Deep Learning‐Based Vocal Fold Disorder Detection and Classification Model on High‐Speed Video Endoscopy
S Sakthivel, V Prabhu - Journal of Healthcare Engineering, 2022 - Wiley Online Library
The use of high‐speed video‐endoscopy (HSV) in the study of phonatory processes linked
to speech needs the precise identification of vocal fold boundaries at the time of vibration …
to speech needs the precise identification of vocal fold boundaries at the time of vibration …
Rancang Bangun Klasifikasi Cacat pada Genting Menggunakan Metode Support Vector Machine (SVM)
RY Xavierullah, MD Prasetio… - … Rekayasa Sistem & …, 2020 - jrsi.sie.telkomuniversity.ac.id
Pengendalian kualitas merupakan suatu sistem yang dapat membantu suatu perusahaan
dalam menjaga dan mempertahankan kualitas produk agar tidak adanya terjadi cacat …
dalam menjaga dan mempertahankan kualitas produk agar tidak adanya terjadi cacat …
Deep learning for environmentally robust speech recognition
AI Alhamada, OO Khalifa, AH Abdalla - AIP Conference Proceedings, 2020 - pubs.aip.org
Deep learning is an emerging technology that is one of the most promising areas of artificial
intelligence. Great strides have been made in recent years which resulted in increased …
intelligence. Great strides have been made in recent years which resulted in increased …
[PDF][PDF] DETECTIING REDUNDANT TEST CASES USING DEEP LEARNING
LL Scientific - Journal of Theoretical and Applied Information …, 2024 - jatit.org
Software testing encompasses the examination of various data scenarios to assess output
and observe software behaviour. However, comprehensive testing of all software cases …
and observe software behaviour. However, comprehensive testing of all software cases …
A Comprehensive Survey of Deep Learning and Its Applications in Advancing Artificial Intelligence.
A Sugil, K Merriliance… - International Journal of …, 2024 - search.ebscohost.com
Deep learning, a subset of machine learning, stands at the forefront of artificial intelligence,
striving to bridge the gap to its ultimate goal. This paper employs summary and induction …
striving to bridge the gap to its ultimate goal. This paper employs summary and induction …