Multiple access techniques for intelligent and multi-functional 6G: Tutorial, survey, and outlook
Multiple access (MA) is a crucial part of any wireless system and refers to techniques that
make use of the resource dimensions to serve multiple users/devices/machines/services …
make use of the resource dimensions to serve multiple users/devices/machines/services …
Logg3d-net: Locally guided global descriptor learning for 3d place recognition
K Vidanapathirana, M Ramezani… - … on Robotics and …, 2022 - ieeexplore.ieee.org
Retrieval-based place recognition is an efficient and effective solution for re-localization
within a pre-built map, or global data association for Simultaneous Localization and …
within a pre-built map, or global data association for Simultaneous Localization and …
Neural augmented exposure interpolation for two large-exposure-ratio images
Brightness order reversal could happen among shadow regions in a bright image and high-
light regions in a dark image if two large-exposure-ratio images are fused directly by using …
light regions in a dark image if two large-exposure-ratio images are fused directly by using …
Knowledge-driven deep learning paradigms for wireless network optimization in 6G
In the sixth-generation (6G) networks, newly emerging diversified services of massive users
in dynamic network environments are required to be satisfied by multi-dimensional …
in dynamic network environments are required to be satisfied by multi-dimensional …
Applications of Machine Learning (ML) and Mathematical Modeling (MM) in Healthcare with Special Focus on Cancer Prognosis and Anticancer Therapy: Current …
The use of data-driven high-throughput analytical techniques, which has given rise to
computational oncology, is undisputed. The widespread use of machine learning (ML) and …
computational oncology, is undisputed. The widespread use of machine learning (ML) and …
[HTML][HTML] 3DEG: Data-Driven Descriptor Extraction for Global re-localization in subterranean environments
N Stathoulopoulos, A Koval… - Expert Systems with …, 2024 - Elsevier
Localization algorithms that rely on 3D LiDAR scanners often encounter temporary failures
due to various factors, such as sensor faults, dust particles, or drifting. These failures can …
due to various factors, such as sensor faults, dust particles, or drifting. These failures can …
Model-based image signal processors via learnable dictionaries
Digital cameras transform sensor RAW readings into RGB images by means of their Image
Signal Processor (ISP). Computational photography tasks such as image denoising and …
Signal Processor (ISP). Computational photography tasks such as image denoising and …
Model-based learning on state-based potential games for distributed self-optimization of manufacturing systems
In this paper, we propose a novel approach of model-based learning on state-based
potential games (MB-SbPGs) that enables distributed self-optimization of manufacturing …
potential games (MB-SbPGs) that enables distributed self-optimization of manufacturing …
HybNet: A hybrid deep learning-matched filter approach for IoT signal detection
Random access schemes are widely used in IoT wireless access networks. They enable a
reduced complexity and overcome power consumption constraints. Nevertheless, random …
reduced complexity and overcome power consumption constraints. Nevertheless, random …
Combining band-frequency separation and deep neural networks for optoacoustic imaging
MG González, M Vera, LJR Vega - Optics and Lasers in Engineering, 2023 - Elsevier
In this paper we consider the problem of image reconstruction in optoacoustic tomography.
In particular, we devise a deep neural architecture that can explicitly take into account the …
In particular, we devise a deep neural architecture that can explicitly take into account the …