Results 81 to 90 of about 8,129,767 (355)

An Efficient Spectral Feature Extraction Framework for Hyperspectral Images

open access: yesRemote Sensing, 2020
Extracting diverse spectral features from hyperspectral images has become a hot topic in recent years. However, these models are time consuming for training and test and suffer from a poor discriminative ability, resulting in low classification accuracy.
Zhen Li, Baojun Zhao, Wenzheng Wang
doaj   +1 more source

Perspectives on Processing for Real-Time Control

open access: yesIFAC Proceedings Volumes, 2000
Abstract An overview is provided of the issues relating to processor implementation of real-time control. The paper concentrates upon the practical rather than theoretical aspects and has a focus upon the requirements for high-performance embedded-control applications.
openaire   +1 more source

Abstraction in real time process algebra [PDF]

open access: yes, 1992
In this paper we extend Real Time Process Algebra by the silent step τ. We start by giving the operational semantics and we find a characterizing law of which the soundness and the completeness is proven. By adding the integral construct we can interpret symbolic (untimed) process terms as timed processes. We investigate the resulting τ-equivalence and
openaire   +2 more sources

Therapeutic Apheresis in Nigeria: A Multi‐Center Summary of Abstracts From the Inaugural Nigerian Society for Apheresis Scientific Meeting

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Therapeutic apheresis (TA) is an established treatment modality for hematologic, neurologic, and immunologic disorders, yet access remains severely limited in sub‐Saharan Africa. Donor apheresis, including platelet apheresis collection from healthy donors, represents an important complementary modality supporting blood product ...
Nosa Bazuaye   +33 more
wiley   +1 more source

SAR Ground Moving Target Indication Based on Relative Residue of DPCA Processing

open access: yesSensors, 2016
For modern synthetic aperture radar (SAR), it has much more urgent demands on ground moving target indication (GMTI), which includes not only the point moving targets like cars, truck or tanks but also the distributed moving targets like river or ocean ...
Jia Xu   +5 more
doaj   +1 more source

An Efficient and Robust Framework for Hyperspectral Anomaly Detection

open access: yesRemote Sensing, 2021
Hyperspectral images contain distinguishing spectral information and show great potential in the anomaly detection (AD) task which aims to extract discrepant targets from the background.
Linbo Tang   +5 more
doaj   +1 more source

Radar Signal Processing for Sensing in Assisted Living: The challenges associated with real-time implementation of emerging algorithms

open access: yesIEEE Signal Processing Magazine, 2019
This article covers radar signal processing for sensing in the context of assisted living (AL). This is presented through three example applications: human activity recognition (HAR) for activities of daily living (ADL), respiratory disorders, and sleep ...
J. Le Kernec   +7 more
semanticscholar   +1 more source

Organoids in pediatric cancer research

open access: yesFEBS Letters, EarlyView.
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley   +1 more source

Hybrid optimisation method of improved genetic algorithm and IFT for linear thinned array

open access: yesThe Journal of Engineering, 2019
The array thinning technique can greatly reduce the number of the array elements while keeping the performance of the array almost the same. However, the existing algorithms have slow convergence rates and are easy to fall into local optimum.
Zheng Wang   +3 more
doaj   +1 more source

Consecutive Pre-Training: A Knowledge Transfer Learning Strategy with Relevant Unlabeled Data for Remote Sensing Domain

open access: yesRemote Sensing, 2022
Currently, under supervised learning, a model pre-trained by a large-scale nature scene dataset and then fine-tuned on a few specific task labeling data is the paradigm that has dominated knowledge transfer learning.
Tong Zhang   +6 more
doaj   +1 more source

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