Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[HTML][HTML] A Comprehensive Review of AI-Based Digital Twin Applications in Manufacturing: Integration Across Operator, Product, and Process Dimensions
Digital twins (DTs) represent a transformative technology in manufacturing, facilitating
significant advancements in monitoring, simulation, and optimization. This paper offers an …
significant advancements in monitoring, simulation, and optimization. This paper offers an …
[HTML][HTML] Scaling the growing neural gas for visual cluster analysis
The growing neural gas (GNG) is an unsupervised topology learning algorithm that models
a data space through interconnected units that stand on the most populated areas of that …
a data space through interconnected units that stand on the most populated areas of that …
3d maps representation using gng
Current RGB‐D sensors provide a big amount of valuable information for mobile robotics
tasks like 3D map reconstruction, but the storage and processing of the incremental data …
tasks like 3D map reconstruction, but the storage and processing of the incremental data …
GNG based foot reconstruction for custom footwear manufacturing
Custom shoes manufacturing is one of the major challenges facing the footwear industry
today. A shoe for everyone: it is a change in the production model in which each individual's …
today. A shoe for everyone: it is a change in the production model in which each individual's …
A scalable multi-signal approach for the parallelization of self-organizing neural networks
Abstract Self-Organizing Neural Networks (SONNs) have a wide range of applications with
massive computational requirements that often need to be satisfied with optimized parallel …
massive computational requirements that often need to be satisfied with optimized parallel …
Bioinspired point cloud representation: 3D object tracking
The problem of processing point cloud sequences is considered in this work. In particular, a
system that represents and tracks objects in dynamic scenes acquired using low-cost …
system that represents and tracks objects in dynamic scenes acquired using low-cost …
3D model reconstruction using neural gas accelerated on GPU
In this work, we propose the use of the neural gas (NG), a neural network that uses an
unsupervised Competitive Hebbian Learning (CHL) rule, to develop a reverse engineering …
unsupervised Competitive Hebbian Learning (CHL) rule, to develop a reverse engineering …
Processing point cloud sequences with Growing Neural Gas
We consider the problem of processing point cloud sequences. In particular, we represent
and track objects in dynamic scenes acquired using low-cost sensors such as the Kinect. A …
and track objects in dynamic scenes acquired using low-cost sensors such as the Kinect. A …
A multi-signal variant for the gpu-based parallelization of growing self-organizing networks
Among the many possible approaches for the parallelization of self-organizing networks,
and in particular of growing self-organizing networks, perhaps the most common one is …
and in particular of growing self-organizing networks, perhaps the most common one is …
Comparing parallel hardware architectures for visually guided robot navigation
Local visual homing methods are a family of algorithms for visually guided navigation on
mobile robots. Within this family, the so‐called min‐war** algorithm yields very precise …
mobile robots. Within this family, the so‐called min‐war** algorithm yields very precise …