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A systematic mapping study of source code representation for deep learning in software engineering

open access: yesIET Software, 2022
The usage of deep learning (DL) approaches for software engineering has attracted much attention, particularly in source code modelling and analysis.
Hazem Peter Samoaa   +3 more
doaj   +1 more source

Gamification Design Patterns for User Engagement

open access: yesInformatics in Education, 2022
The rapid development of technology in today’s times make business’ survival a rather complex task. It is therefore necessary for the specialized organization and administration of each company to differentiate and strengthen its competitive advantages ...
Serafeim A. Triantafyllou   +1 more
doaj   +1 more source

Designing, implementation, and evaluation of internship comprehensive system for assessment and monitoring

open access: yesJournal of Education and Health Promotion, 2021
BACKGROUND: During the past decade, the benefits of using portfolios, especially electronic portfolios, were recognized. Due to the lack of using portfolios and especially electronic portfolio in the clinical evaluations of internship training in medical
Firouzeh Moeinzadeh   +4 more
doaj   +1 more source

Resilience Enhancement at Edge Cloud Systems

open access: yesIEEE Access, 2022
It is becoming common practice to push interactive and location-based services from remote datacenters to resource-constrained edge domains. This trend creates new management challenges at the network edge, not least to ensure resilience.
Jose Moura, David Hutchison
doaj   +1 more source

Identification of the Key Factors Related to Bladder Cancer by lncRNA-miRNA-mRNA Three-Layer Network

open access: yesFrontiers in Genetics, 2020
Bladder cancer is the most common malignant tumor of the urinary system, and it has high incidence, high degree of malignancy, and easy recurrence after surgery.
Xiaxia Wang   +8 more
doaj   +1 more source

Predicting Subsurface Layer Thickness and Seismic Wave Velocity Using Deep Learning: Knowledge Distillation Approach

open access: yesIEEE Access
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
doaj   +1 more source

Edge-Boosted U-Net for 2D Medical Image Segmentation

open access: yesIEEE 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

A Process Algebra With Qualitative Calculus for Modeling Spatio-Temporal Behaviour

open access: yesIEEE 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

A guide to similarity measures and their data science applications

open access: yesJournal of Big Data
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

open access: yesMachine Learning with Applications
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
doaj   +1 more source

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