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Chapter
AI for Cyberbiosecurity in Water Systems—A Survey
The use of Artificial Intelligence (AI) is growing in areas where decisions and consequences have high-stakes such as larger scale software, critical infrastructure, and real-time systems. This transition in r...
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Reference Work Entry In depth
Contexts
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Reference Work Entry In depth
Middle East
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Reference Work Entry In depth
Anomaly Detection
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Reference Work Entry In depth
Artificial Intelligence
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Reference Work Entry In depth
Business Intelligence Analytics
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Chapter and Conference Paper
Explainable Artificial Intelligence for Technology Policy Making Using Attribution Networks
In this manuscript, we propose an alternative to conventional policy making procedures. The presented policy pipeline leverages intelligent methods that factor for causal relations and economic factors to prod...
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Article
Open AccessA survey on artificial intelligence assurance
Artificial Intelligence (AI) algorithms are increasingly providing decision making and operational support across multiple domains. AI includes a wide (and growing) library of algorithms that could be applied ...
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Article
Open AccessPreventive healthcare policies in the US: solutions for disease management using Big Data Analytics
Data-driven healthcare policy discussions are gaining traction after the Covid-19 outbreak and ahead of the 2020 US presidential elections. The US has a hybrid healthcare structure; it is a system that does no...
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Article
Predicting failures in agile software development through data analytics
Artificial intelligence-driven software development paradigms have been attracting much attention in academia, industry and the government. More specifically, within the last 5 years, a wave of data analytics ...
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Living Reference Work Entry In depth
Contexts
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Living Reference Work Entry In depth
Business Intelligence Analytics
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Living Reference Work Entry In depth
Artificial Intelligence
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Living Reference Work Entry In depth
Anomaly Detection
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Article
Open AccessA comprehensive model for management and validation of federal big data analytical systems
In this era of data science, many software vendors are rushing towards providing better solutions for data management, analytics, validation and security. The government, being one of the most important custom...
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Chapter and Conference Paper
Context-Aware User Interfaces for Intelligent Emergency Applications
The importance of context in many recent software engineering research studies has been rising significantly. Injecting context awareness into software systems has facilitated multiple facets of modelling, inc...
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Living Reference Work Entry In depth
Middle East
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Article
Validation of knowledge-based systems: a reassessment of the field
The subject of validation and verification (V&V) of knowledge-based systems (KBS) has been one of decreasing importance in the last decade. Research and development in the field reduced drastically. One of the...
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Chapter
Context-Driven Testing on the Cloud
Context-Driven Testing (CDT) is the practice of validating and verifying software systems based on their most recent status. CDT is both an art and a science; ultimately, CDT is about not accepting a specific pre...
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Chapter and Conference Paper
Context-Assisted Test Cases Reduction for Cloud Validation
Cloud computing is currently receiving much attention from the industry, government, and academia. It has changed the way computation is performed and how services are delivered to customers. Most importantly,...
