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A review of deep learning methods for digitisation of complex documents and engineering diagrams
This paper presents a review of deep learning on engineering drawings and diagrams. These are typically complex diagrams, that contain a large number...
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Unpacking engineering students’ challenges and strategies in a fully online learning space: The mediating role of teachers
It has long been recognized that students’ experience within an online learning space is mediated by many factors, one of which is teachers’...
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Automata-Based Software Engineering with Event-B
AbstractA new automata-based programming language built by extending the Event-B specification language is proposed. When develo** models in...
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Using model-driven engineering to automate software language translation
The porting or translation of software applications from one programming language to another is a common requirement of organisations that utilise...
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Rice variety classification & yield prediction using semantic segmentation of agro-morphological characteristics
In order to increase the yield in agricultural stock, its speed of delivery & production plays a crucial role in economic growth of a county....
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Feature Engineering and Supervised Learning
Supervised learning, also known as supervised machine learning, is a subcategory of machine learning and artificial intelligence and will help us...
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The Basics of Reverse Engineering
In the preceding chapters, we introduced infrastructure as code (IaC) and Terraform. Additionally, we covered related fundamental ideas, such as...
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Requirements and software engineering for automotive perception systems: an interview study
Driving automation systems, including autonomous driving and advanced driver assistance, are an important safety-critical domain. Such systems often...
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Fairness-aware machine learning engineering: how far are we?
Machine learning is part of the daily life of people and companies worldwide. Unfortunately, bias in machine learning algorithms risks unfairly...
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CHEKG: a collaborative and hybrid methodology for engineering modular and fair domain-specific knowledge graphs
Ontologies constitute the semantic model of Knowledge Graphs (KGs). This structural association indicates the potential existence of methodological...
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A systematic review of Augmented Reality in Science, Technology, Engineering and Mathematics education
Augmented Reality has found extensive use as an interactive technology in various learning and educational environments. However, a previous...
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Validation and verification in domain-specific modeling method engineering: an integrated life-cycle view
Enterprise models have the potential to constitute a valuable asset for organizations, e.g., in terms of enabling a variety of analyses or by...
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Prompt Engineering for Narrative Choice Generation
Large language models (LLMs) have recently revolutionized performance on a variety of natural language generation tasks, but have yet to be studied...
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Requirements engineering for sustainable software systems: a systematic map** study
Various approaches toward the development of sustainable software systems have been proposed by the requirements engineering community over the last...
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Interactive remote electrical safety laboratory module in biomedical engineering education
To enable interactive remote education on electrical safety in biomedical engineering, a real-life problem-based laboratory module is proposed,...
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The using effect of fuzzy analytic hierarchy process in project engineering risk management
This work aims to explore the effectiveness of the fuzzy analytic hierarchy process (FAHP) in project engineering risk management and comprehensively...
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Data Engineering for Scalable AI
In today's digital world, data is everywhere. Data is being generated at an unprecedented rate, from your social media interactions to Internet...
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IHHO: an improved Harris Hawks optimization algorithm for solving engineering problems
Harris Hawks optimization (HHO) algorithm was a powerful metaheuristic algorithm for solving complex problems. However, HHO could easily fall within...
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Can AI serve as a substitute for human subjects in software engineering research?
Research within sociotechnical domains, such as software engineering, fundamentally requires the human perspective. Nevertheless, traditional...
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Modified crayfish optimization algorithm for solving multiple engineering application problems
Crayfish Optimization Algorithm (COA) is innovative and easy to implement, but the crayfish search efficiency decreases in the later stage of the...
