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TUJI1 Dataset: Multi-device dataset for indoor localization with high measurement density
(Elsevier, 2024-03-22)
Positioning in indoor scenarios using signals of opportunity is an effective solution enabling accurate and reliable performance in Global Navigation Satellite System (GNSS)-obscured scenarios. Despite the availability of ...
Machine learning assisted intelligent design of meta structures: a review
(OAE Publishing, 2023-10)
In recent years, the rapid development of machine learning (ML) based on data-driven or environment interaction
has injected new vitality into the field of meta-structure design. As a supplement to the traditional ...
Synthesis of High Entropy Alloy Nanoparticles by Pulsed Laser Ablation in Liquids: Influence of Target Preparation on Stoichiometry and Productivity
(Wiley, 2024-03-26)
High entropy alloys (HEAs) have a wide range of applications across various fields, including structural engineering, biomedical science, catalysis, magnetism, and nuclear technology. Nanoscale HEA particles show promising ...
Photogrammetry workflow for obtaining low-polygon 3D models using free software
(Union Agency, 2023)
This paper proposes a workflow for inexperienced designers to create low-poly 3D models using free software. It addresses the problem of the complexity generated by photogrammetry. The solution aims to enable independent ...
Single-Pixel Structured Illumination Microscopy
(Optica Publishing Group, 2023)
We describe a single-pixel imaging microscope with super-resolution properties based on structured illumination microscopy. Spatially resolved patterns are used to expand the frequency spectrum of sampling patterns in the ...
Advancing Virtual Learning: A Review of Moodle For The Optimization Of Online Education
(International Academy of Technology, Education and Development (IATED), 2024-03-04)
This review examines the use of Moodle, a well-known open-source learning management system, to
evaluate the e-teaching and e-learning process. Given the growing popularity of online courses in higher
education, this ...
Remotely Sensed Data Fusion for Spatiotemporal Geostatistical Analysis of Forest Fire Hazard
(MDPI, 2020)
Forest fires are a natural phenomenon which might have severe implications on naturaland anthropogenic ecosystems. Future projections predict that, under a climate change environment,the fire season would be lengthier with ...
Masked Auto-Encoding Spectral-Spatial Transformer for Hyperspectral Image Classification
(IEEE, 2022-10-28)
Deep learning has certainly become the dominant trend in hyperspectral (HS) remote sensing (RS) image classification owing to its excellent capabilities to extract highly discriminating spectral–spatial features. In this ...
Attentional Dense Convolutional Neural Network for Water Body Extraction From Sentinel-2 Images
(IEEE, 2022-08-15)
Monitoring water bodies from remote sensing data is
certainly an essential task to supervise the actual conditions of the
available water resources for environment conservation, sustainable development, and many other ...
Transfer Deep Learning for Remote Sensing Datasets: A Comparison Study
(IEEE, 2022-07-17)
Remote sensing is also benefiting from the quick development of deep learning algorithms for image analysis and classification tasks. In this paper, we evaluate the classification performance of a well-known Convolutional ...