Results 41 to 50 of about 60,104 (158)

Polarimetric SAR Data Classification via Reinforcement Learning

IEEE Access, 2019
Inspired by human’s learning characteristic that knowledge is gradually learned little by little, a Spatial-Polarimetric Reinforcement Learning (SPRL) approach is proposed for Polarimetric Synthetic Aperture Radar (PolSAR) data classification ...
Min Wang, Zhiyi Wang, Chen Yang, Shuyuan Yang, Yuteng Gao   +4 more
doaj   +1 more source

Procedural generation of synthetic forest environments to train machine learning algorithms [PDF]

, 2022
The demand for the development of forestry robotics has been increasing. As with most robotics applications, Machine Learning is the engine driving innovation in this field. However, Machine Learning development for robotic perception tasks is highly dependent on the availability of annotated datasets.
Nunes, R, Ferreira, J, Peixoto, P
openaire  

SCARA Assembly AI: The Synthetic Learning-Based Method of Component-to-Slot Assignment with Permutation-Invariant Transformers for SCARA Robot Assembly

Robotics
This paper presents a novel synthetic learning-based approach for solving the component-to-slot assignment problem in robotics using a SCARA robot. The method uses a fully simulated environment that generates and annotates scenes based on rules and ...
Tibor Péter Kapusi, Timotei István Erdei, Masuk Abdullah, Géza Husi, András Hajdu   +4 more
doaj   +1 more source

RULE-BASED HYBRID INTELLIGENT LEARNING ENVIRONMENT IMPLEMENTATION

Современные информационные технологии и IT-образование, 2018
Learning is considered as an intelligent process the development scenario of which, with an individual approach to the learner, is not known in advance.
Pavel D. Basalin, Elena A. Kumagina, Elena A. Neumark, Aleksei E. Timofeev, Irina A. Fomina, Natalja N. Chernyshova   +5 more
doaj   +1 more source

A synthetic review of learning theories, elements and virtual environment simulation types to improve learning within higher education

Thinking Skills and Creativity
Patsie Polly, Cristan Herbert
exaly   +2 more sources

Synthetic Imaging Radar Data Generation in Various Clutter Environments Using Novel UWB Log-Periodic Antenna

Sensors
In short-range microwave imaging, the collection of data in real environments for the purpose of developing techniques for target detection is very cumbersome. Simultaneously, to develop effective and efficient AI/ML-based techniques for target detection,
Deepmala Trivedi, Gopal Singh Phartiyal, Ajeet Kumar, Dharmendra Singh   +3 more
doaj   +1 more source

Instance segmentation of objects in images using deep learning and synthetic data

Компьютерная оптика
The paper considers the problem of instance segmentation of objects in images using modern deep learning models and synthetic data. The main attention is paid to the study of the effectiveness of synthetic data created on the basis of 3D models for pre ...
G.A. Algashev, E.V. Gorbunov, I.A. Kilbas, R.A. Paringer, A.V. Kupriyanov   +4 more
doaj   +1 more source

A Deep Learning-Based Approach to Strawberry Grasping Using a Telescopic-Link Differential Drive Mobile Robot in ROS-Gazebo for Greenhouse Digital Twin Environments

IEEE Access
The primary goal of this research is to develop a deep learning-powered robotic solution to address labor shortages and optimize harvesting processes in strawberry greenhouse farms. By incorporating this system into the development process, the aim is to
Rajmeet Singh, Lakmal Seneviratne, Irfan Hussain   +2 more
doaj   +1 more source

Classification of industrial components by artificial intelligence using synthetic data from a computer-aided design software

Discover Applied Sciences
The growing interest in automation in industrial production increases the demand for artificial intelligence in the recognition of manufactured components.
Nils Rabeneck, Pooja Kamble
doaj   +1 more source

Photo-realistic traffic scene datasets: real and synthetic perspectives for vision-based analysisMendeley Data

Data in Brief
Perception plays a crucial role in autonomous driving and computer vision, particularly in interpreting traffic scenes from monocular cameras. In this article, we present a comprehensive collection of traffic scene datasets organized into four distinct ...
Khulan Khalzaa, Stephen Karungaru, Kenji Terada, Tsend-Ayush Chimed-Ochir   +3 more
doaj   +1 more source