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Context-Sensitive Grammars
This chapter introduces context-sensitive grammars.
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Dynamic Context-Sensitive Deliberation
Truly realistic models for policy making require multiple aspects of life, realistic social behaviour and the ability to simulate millions of agents....
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A context-sensitive multi-tier deep learning framework for multimodal sentiment analysis
One of the most appealing multidisciplinary research areas in Artificial Intelligence (AI) is Sentiment Analysis (SA). Due to the intricate and...
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A Framework for Memory Efficient Context-Sensitive Program Analysis
Static program analysis is in general more precise if it is sensitive to execution contexts (execution paths). But then it is also more expensive in...
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Multi-object tracking using context-sensitive enhancement via feature fusion
Multi-object tracking (MOT) is one of the most challenging tasks in the field of computer vision. Most MOT methods generally face the problem of not...
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Time-sensitive autonomous architectures
Autonomous and software-defined vehicles (ASDVs) feature highly complex systems, coupling safety-critical and non-critical components such as...
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A novel context-sensitive attitude entropy-based multiclass segmentation method for brain MR images using enhanced flow directional algorithm
Computer vision techniques, aided by artificial intelligence, in medical image analysis, are currently encouraged for precise and speedy diagnosis of...
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Towards Efficient Context-Sensitive Deliberation
We propose a context-sensitive deliberation framework where the decision context does not deliver an action straight away, but where rather the...
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A general parsing algorithm with context matching for context-sensitive graph grammars
Context-sensitive graph grammars have been intuitive and rigorous formalisms for specifying visual programming languages, as they are sufficient...
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Heuristic Context-Sensitive Control of Mental Model Aggregation for Multilevel Organisational Learning
Within organisational learningOrganisational learning, aggregationAggregation of developed individual mental modelsIndividual mental model to obtain...
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Impactless association methods for wi-fi based time-sensitive networks
Current safety-critical applications, found in domains such as automotive networking, automated industries, and control systems, require...
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Multiple-input neural networks for time series forecasting incorporating historical and prospective context
Individual and societal systems are open systems continuously affected by their situational context. In recent years, context sources have been...
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First-time Sensitive Homeomorphisms
We introduce first-time sensitivity for a homeomorphism of a compact metric space, that is a condition on the first increasing times of open balls of...
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Linear Bounded Automata and Context-Sensitive Grammars
In this chapter we first show that the notions of the context-sensitive grammars and the type 1 grammars are equivalent. Then we show that every...
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Time sensitive networking security: issues of precision time protocol and its implementation
Time Sensitive Networking (TSN) will be an integral component of industrial networking. Time synchronization in TSN is provided by the IEEE-1588,...
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Configuration optimization for heterogeneous time-sensitive networks
Time-Sensitive Networking (TSN) collectively defines a set of protocols and standard amendments that enhance IEEE 802.1Q Ethernet nodes with...
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Capability Approach and Inclusion: Develo** a Context Sensitive Design for Biobased Value Chains
Biomass such as crops and agricultural waste is increasingly used as the primary resource for products like bioplastics and biofuels. Incorporating...
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Experiencer: An Open-Source Context-Sensitive Wearable Experience Sampling Tool
We introduce Experiencer, a newly developed Experience Sampling Method (ESM) software for commodity-level smartwatches. We designed this software...
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Sensitive Content Classification
In this era of ease of sharing information on the Internet, it has become incredibly easy to share any sort of information online. However, this ease...
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Explanatory pragmatism: a context-sensitive framework for explainable medical AI
Explainable artificial intelligence (XAI) is an emerging, multidisciplinary field of research that seeks to develop methods and tools for making AI...