[HTML][HTML] Big data monetization throughout Big Data Value Chain: a comprehensive review
Value Chain has been considered as a key model for managing efficiently value creation
processes within organizations. However, with the digitization of the end-to-end processes …
processes within organizations. However, with the digitization of the end-to-end processes …
Staggered-layer-boosted flexible Bi2Te3 films with high thermoelectric performance
Room-temperature bismuth telluride (Bi2Te3) thermoelectrics are promising candidates for
low-grade heat harvesting. However, the brittleness and inflexibility of Bi2Te3 are far …
low-grade heat harvesting. However, the brittleness and inflexibility of Bi2Te3 are far …
A review on CT and X-ray images denoising methods
In medical imaging systems, denoising is one of the important image processing tasks.
Automatic noise removal will improve the quality of diagnosis and requires careful treatment …
Automatic noise removal will improve the quality of diagnosis and requires careful treatment …
R2rnet: Low-light image enhancement via real-low to real-normal network
J Hai, Z Xuan, R Yang, Y Hao, F Zou, F Lin… - Journal of Visual …, 2023 - Elsevier
Images captured in weak illumination conditions could seriously degrade the image quality.
Solving a series of degradation of low-light images can effectively improve the visual quality …
Solving a series of degradation of low-light images can effectively improve the visual quality …
Atomic reconstruction in twisted bilayers of transition metal dichalcogenides
Van der Waals heterostructures form a unique class of layered artificial solids in which
physical properties can be manipulated through controlled composition, order and relative …
physical properties can be manipulated through controlled composition, order and relative …
Attention guided low-light image enhancement with a large scale low-light simulation dataset
Low-light image enhancement is challenging in that it needs to consider not only brightness
recovery but also complex issues like color distortion and noise, which usually hide in the …
recovery but also complex issues like color distortion and noise, which usually hide in the …
Plug-and-play ADMM for image restoration: Fixed-point convergence and applications
Alternating direction method of multiplier (ADMM) is a widely used algorithm for solving
constrained optimization problems in image restoration. Among many useful features, one …
constrained optimization problems in image restoration. Among many useful features, one …
Image denoising: The deep learning revolution and beyond—a survey paper
Image denoising—removal of additive white Gaussian noise from an image—is one of the
oldest and most studied problems in image processing. Extensive work over several …
oldest and most studied problems in image processing. Extensive work over several …
DeepRED: Deep image prior powered by RED
G Mataev, P Milanfar, M Elad - Proceedings of the IEEE …, 2019 - openaccess.thecvf.com
Inverse problems in imaging are extensively studied, with a variety of strategies, tools, and
theory that have been accumulated over the years. Recently, this field has been immensely …
theory that have been accumulated over the years. Recently, this field has been immensely …
Big data reduction framework for value creation in sustainable enterprises
Value creation is a major sustainability factor for enterprises, in addition to profit
maximization and revenue generation. Modern enterprises collect big data from various …
maximization and revenue generation. Modern enterprises collect big data from various …