Results 31 to 40 of about 21,707,590 (377)
Process of designing robust, dependable, safe and secure software for medical devices: Point of care testing device as a case study [PDF]
, 2013 This article has been made available through the Brunel Open Access Publishing Fund.Copyright © 2013 Sivanesan Tulasidas et al. This paper presents a holistic methodology for the design of medical device software, which encompasses of a new way of ...
Balachandran, W +5 more
core +3 more sources
Edge-Boosted U-Net for 2D Medical Image Segmentation
IEEE Access, 2019 Automatic medical image segmentation has always been a heated study in computer-assisted diagnosis (CAD). It is a quite challenging task due to the diversity and complexity of medical images.
Renjie Zhao, Weiting Chen, Guitao Cao
doaj +1 more source
Does Distance Still Matter? Revisiting Collaborative Distributed Software Design
IEEE Software, 2018 Global software engineering requires supporting distributed collaboration for most software development activities. However, geographical distance challenges effective collaboration.
Rodi Jolak +3 more
semanticscholar +1 more source
A Process Algebra With Qualitative Calculus for Modeling Spatio-Temporal Behaviour
IEEE Access, 2019 Distributive real-time autonomous systems like cyber-physical systems (CPS) and biology systems have become a hot topic nowadays. The high-level design of these systems shares a common characteristic that the behavior of agents is always space-related: i.
Yuanrui Zhang, Yixiang Chen, Hengyang Wu
doaj +1 more source
Computer, 1974 To anyone who has had the slightest connection with the design and construction of large programs for digital computers, it is obvious that this is no trivial task. Many times the design of such programs is woefully inadequate, and the effort required to get them right is tremendous. The sometimes ruinous cost of such inadequate design is well-known.
openaire +2 more sources
IEEE AccessSeismic interpretation is a crucial task in geophysics, requiring accurate prediction of subsurface layer thickness and seismic wave velocity. Traditional methods are computationally intensive and often hindered by noise in seismic data.
Amir Moslemi +4 more
doaj +1 more source
Snow Removal From Light Field Images
IEEE Access, 2019 In this paper, we propose a novel deep convolutional neural network (DCNN) for removing snowflakes from light field (LF) images. We observe that snowflakes in LF images always interrupt slopes in background scenes in epipolar plane images (EPIs), which ...
Tao Yan +6 more
doaj +1 more source
A guide to similarity measures and their data science applications
Journal of Big DataSimilarity measures play a central role in various data science application domains for a wide assortment of tasks. This guide describes a comprehensive set of prevalent similarity measures to serve both non-experts and professionals.
Avivit Levy +2 more
doaj +1 more source
A survey on knowledge distillation: Recent advancements
Machine Learning with ApplicationsDeep learning has achieved notable success across academia, medicine, and industry. Its ability to identify complex patterns in large-scale data and to manage millions of parameters has made it highly advantageous. However, deploying deep learning models
Amir Moslemi +3 more
doaj +1 more source
Implementing Health‐Related Quality of Life Assessment in Pediatric Oncology: A Feasibility Study
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background There is growing interest in embedding health‐related quality of life (HRQoL) assessment and patient‐reported outcome measures (PROMs) within clinical cancer care. This study evaluated the feasibility, acceptability, and usability of implementing an electronic PROM (ePROM) platform to measure HRQoL in children with cancer ...
Mikaela Doig +13 more
wiley +1 more source