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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 +3 more sources
A Process Algebra With Qualitative Calculus for Modeling Spatio-Temporal Behaviour
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
Seismic 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
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Formation of software design skills among software engineering students
The study focuses on one of the mobile-oriented environment competence components for software engineering (SE) students. It has been demonstrated that the implementation of the higher education standard for SE bachelors has generated a number of issues
Andrii M. Striuk
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Pedagogy Embedded in Educational Software Design: Report of a Case Study [PDF]
Most educational software is designed to foster students' learning outcomes but with little consideration of the teaching framework in which it will be used.
Hinostroza, Juan Enrique, Mellar, Harvey
core +2 more sources
Snow Removal From Light Field Images
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
Similarity 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
Deep 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
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Designing software to maximize learning1 [PDF]
This paper starts from the assumption that any evaluation of educational software should focus on whether or not, and the extent to which, it maximizes learning. It is particularly concerned with the impact of software on the quality of learning.
Somekh, Bridget
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ABSTRACT Objective To evaluate selumetinib exposure using therapeutic drug monitoring (TDM) in pediatric patients with neurofibromatosis type 1 (NF1) and plexiform neurofibromas (PN), assess interpatient pharmacokinetic variability, and explore the relationship between drug exposure, clinical response, and adverse effects.
Janka Kovács +8 more
wiley +1 more source

