Results 51 to 60 of about 792,416 (284)
Image Super-Resolution via Dual-Dictionary Learning And Sparse Representation
, 2012 Learning-based image super-resolution aims to reconstruct high-frequency (HF) details from the prior model trained by a set of high- and low-resolution image patches.
Ma, Siwei +4 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction Characterizing stressful events reported by childhood cancer survivors experienced throughout the lifespan may help improve trauma‐informed care relevant to the survivor experience. Methods Participants included 2552 survivors (54% female; 34 years of age) and 469 community controls (62% female; 33 years of age) from the St.
Megan E. Ware +13 more
wiley +1 more source
Hyperspectral Image Denoising via Adversarial Learning
Remote Sensing, 2022 Due to sensor instability and atmospheric interference, hyperspectral images (HSIs) often suffer from different kinds of noise which degrade the performance of downstream tasks.
Junjie Zhang +3 more
doaj +1 more source
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)While Transformer models have achieved remarkable success in various domains, the effectiveness of information propagation through deep networks remains a critical challenge. Standard hidden state residuals often fail to adequately preserve initial token-level information in deeper layers.
Zhou, Zhanchao +4 more
openaire +2 more sources
Deep Residual Learning for Small-Footprint Keyword Spotting
, 2018 We explore the application of deep residual learning and dilated convolutions to the keyword spotting task, using the recently-released Google Speech Commands Dataset as our benchmark.
Lin, Jimmy, Tang, Raphael
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Neuroblastoma is the most common extracranial solid tumor in early childhood. Its clinical behavior is highly variable, ranging from spontaneous regression to fatal outcome despite intensive treatment. The International Society of Pediatric Oncology Europe Neuroblastoma Group (SIOPEN) Radiology and Nuclear Medicine Specialty Committees ...
Annemieke Littooij +11 more
wiley +1 more source
Daily Peak-Electricity-Demand Forecasting Based on Residual Long Short-Term Network
Mathematics, 2022 Forecasting the electricity demand of buildings is a key step in preventing a high concentration of electricity demand and optimizing the operation of national power systems.
Hyunsoo Kim, Jiseok Jeong, Changwan Kim
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction Adolescent siblings of children with cancer are at elevated risk for psychosocial problems. Unfortunately, various barriers such as limited family time and resources, conflicting schedules, and psychosocial staffing constraints at cancer centers hinder sibling access to support.
Christina M. Amaro +10 more
wiley +1 more source
Underwater Image Enhancement via Triple-Branch Dense Block and Generative Adversarial Network
Journal of Marine Science and Engineering, 2023 The complex underwater environment and light scattering effect lead to severe degradation problems in underwater images, such as color distortion, noise interference, and loss of details.
Peng Yang +4 more
doaj +1 more source
Road Extraction by Deep Residual U-Net
, 2017 Road extraction from aerial images has been a hot research topic in the field of remote sensing image analysis. In this letter, a semantic segmentation neural network which combines the strengths of residual learning and U-Net is proposed for road area ...
Liu, Qingjie +2 more
core +1 more source