Aalto University

Doctoral Researcher in THz- and sub-millimeter-wave imaging using radar and frequency-diverse diffractive optical elements for real-time tissue assessment

The THz- and Millimeterwave Techniques group is in search of a doctoral researcher for an interdisciplinary THz medical imaging research program developing diffractive optical elements (DOEs) and ...
IEEE

Hybrid Deep Learning Models for Remote Sensing Image Processing

Abstract: Core image processing tasks, such as super-resolution, denoising, deblurring, pansharpening, and atmospheric correction, underpin all optical remote sensing (RS) pipelines. Errors at this ...
Beebom

What is Deep Learning in AI? Understanding How AI Really Works

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...
Frontiers

Deep learning driven, image-based phenotyping of seed processing efficiency in sainfoin (Onobrychis viciifolia)

Introduction: Sainfoin (Onobrychis spp.) is a perennial legume traditionally cultivated as a forage crop and is now emerging as a promising candidate for development as a perennial grain legume.
Frontiers

Deep learning-driven medical image analysis for computational material science applications

Introduction: Deep learning has significantly advanced medical image analysis, enabling precise feature extraction and pattern recognition. However, its application in computational material science ...
IEEE

Overview of Deep Learning Image Processing

Abstract: In the last decade, deep learning has rapidly advanced and achieved significant breakthroughs in the field of image processing. This survey aims to provide a comprehensive overview of recent ...