Results 91 to 100 of about 161,991 (287)

Supervised Neural Discrete Universal Denoiser for Adaptive Denoising

, 2021
Preprint
Cha, Sungmin, Min, Seonwoo, Yoon, Sungroh, Moon, Taesup   +3 more
openaire   +2 more sources

Continual Learning for Multimodal Data Fusion of a Soft Gripper

Advanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source

An Adaptive Signal Photon Detection Method Based on DBSCAN for Photon-Counting Laser Altimeter

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Photon-counting light detection and ranging is very sensitive to ambient interference, target features, and instrument performance, especially for long-distance detection of spaceborne laser altimeter and measurement of complex land-cover types with ...
Xiangfeng Liu, Zhenhua Wang, Wuzhong Yang, Shixian Chen, Fengxiang Wang, Xiaowei Chen, Weiming Xu, Rong Shu   +7 more
doaj   +1 more source

Simultaneous Nonconvex Denoising and Unmixing for Hyperspectral Imaging

IEEE Access, 2019
Sparse hyperspectral unmixing aims at finding the sparse fractional abundance vector of a spectral signature present in a mixed pixel. However, there are several types of noise present in the hyperspectral images.
Taner Ince, Tugcan Dundar
doaj   +1 more source

ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products

Advanced Robotics Research, EarlyView.
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar, Zhengtong Xu, Siavash Mahmoudi, Pouya Sohrabipour, Chaitanya Pallerla, Yu She, Wan Shou, Philip Glen Crandall, Dongyi Wang   +8 more
wiley   +1 more source

Satellite Remote Sensing Grayscale Image Colorization Based on Denoising Generative Adversarial Network

Remote Sensing
Aiming to solve the challenges of difficult training, mode collapse in current generative adversarial networks (GANs), and the efficiency issue of requiring multiple samples for Denoising Diffusion Probabilistic Models (DDPM), this paper proposes a ...
Qing Fu, Siyuan Xia, Yifei Kang, Mingwei Sun, Kai Tan   +4 more
doaj   +1 more source

Denoising-Based Turbo Compressed Sensing

IEEE Access, 2017
Turbo compressed sensing (Turbo-CS) is an efficient iterative algorithm for sparse signal recovery with partial orthogonal sensing matrices. In this paper, we extend the Turbo-CS algorithm to solve compressed sensing problems involving a more general ...
Zhipeng Xue, Junjie Ma, Xiaojun Yuan
doaj   +1 more source

High Humidity Exacerbates Psoriasiform Skin Disease Relapse by Increasing Tissue‐Resident Memory T Cells via Altering Skin Microbiota

Advanced Science, EarlyView.
We demonstrated that high humidity worsened psoriasis relapse in murine psoriasiform skin inflammation by increasing skin‐resident memory CD8+ cells via upregulating IL‐15Rα on keratinocytes. The increases in IL‐15Rα and memory CD8+ cells were attributed to S. nepalensis and its metabolite ADMA in skin exposed to high humidity.
Chun‐Ling Liang, Yuchao Chen, Chuanjian Lu, Huazhen Liu, Fenglian Qin, Sisi Dai, Feifei Qiu, Haiming Chen, Weihui Lu, Jonathan S. Bromberg, Zhenhua Dai   +10 more
wiley   +1 more source

A multiscale Bayesian approach to quantification and denoising of energy-dispersive x-ray data

Machine Learning: Science and Technology
Energy dispersive x-ray (EDX) spectrum imaging yields compositional information with a spatial resolution down to the atomic level. However, experimental limitations often produce extremely sparse and noisy EDX spectra.
Pau Torruella, Abderrahim Halimi, Ludovica Tovaglieri, Céline Lichtensteiger, Duncan T L Alexander, Cécile Hébert   +5 more
doaj   +1 more source

Smooth dynamic T2* mapping in fMRI based on a novel, total variation-minimizing algorithm for efficient multi-echo BOLD time series denoising with high signal-to-noise and contrast-to-noise ratios

Frontiers in Neuroscience
IntroductionThis report deals with advanced processing of blood oxygenation-dependent (BOLD) functional magnetic resonance imaging (fMRI) signals. It does not address functional characteristics of the human cortex, such as functional connectivity.
Jan Michálek, Michal Mikl
doaj   +1 more source