Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 28 for “"Artificial Intelligent"”.
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Shaping the future through Artificial Intelligent technologies to reduce vehicle accidents in Abu Dhabi
… from existing studies were used to assess the artificial intelligent approaches in road safety management. The quantitative data analysis was carried out using SPSS software and Microsoft Excel software. The study findings showed that the most common traffic problems on Abu Dhabi's roads …
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Advanced control techniques for modern inertia based inverters
<p>”In this research three artificial intelligent (AI)-based techniques are proposed to regulate the voltage and frequency of a grid-connected inverter. The increase in the penetration of renewable energy sources (RESs) into the power grid has led to the increase in the penetration of …
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An intelligent model of variations' contingency on constructions projects
… those factors forra the basis for the developed artificial intelligent based neural network model developed in the research for predicting variations' contingency. The validation test of the model shows that the model can, with an acceptable degree of accuracy, predict and justify the total cost …
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Computational Support for Longitudinal Well-Being
As artificial-intelligent-powered devices have become more embedded in our lives, they offer an unprecedented ability to passively sense our daily behavior at a high resolution. These everyday devices are already equipped with machine learning techniques to monitor our basic health behaviors, such …
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A study of software agent design and implementation
… in the fields of human computer interaction, artificial intelligent and cognitive science. Recently it was the focus of both computer science research and the software industry. It has become clear that agents can take many roles in helping people complete their tasks. But, agents in real life …
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Enhancement of network security by use machine learning
… enhance the security. This put the system into artificial intelligent system. By trains the system, the security can be enhanced. The next incoming data have done checked and the system was identify whether it content errors or fake data. By the end of the research, graphs and animation system …
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An intelligent manufacturing system for heat treatment scheduling
… heat treatment operations environment using artificial intelligent techniques that are capable of dealing with such problems. This work addresses the issues involved in developing a suitable methodology for scheduling heat treatment operations of steel. Several intelligent algorithms have …
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Predicate Calculus for Perception-led Automata
Artificial Intelligence is a fuzzy concept. My role, as I see it, is to put down a working definition, a criterion, and a set of assumptions to set up equations for a workable methodology. This research introduces the notion of Artificial Intelligent Agency, denoting the application of Artificial …
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The Colour concept generator: a computer tool to propose colour concepts for products.
… process. The computer system uses elements of artificial intelligence (AI) to `learn' colour and descriptor semiotic relations from a product designer based upon a proposed objective criteria or to reflect a designers personal style. Colour concepts for products can then be generated from …
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Monocular Visual Inertial Odometry using Learning-based Methods
… for numerous applications in robotics, Artificial Intelligent and mobile computing. Many well-developed algorithms have been established using a single sensor or multiple sensors. Visual Inertial Odometry (VIO) uses images and inertial measurements to estimate the motion and is …
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A digital identity management system
… more powerful and effective technologies such as artificial intelligence, wireless communication, mobile storage devices and biometrics, it should be possible to come up with a more effective multi-modal authentication system to help reduce the cases of identity fraud and theft. A multi-modal …
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An algorithm must be seen to be believed : right to an explanation of automated decision-making in the GDPR
Rapid technological developments in the world of artificial intelligence and automated decision-making have brought new challenges for the protection of personal data. Just like their human counterparts, algorithmic decision-makers can be biased and discriminatory which can have serious …
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Theoretical Principles for Information-Efficient Reasoning under Uncertainty
… algorithms and specialized hardware to produce intelligent sensorimotor behavior. In contrast, the brain can transform noisy stimuli into effective actions that solve a wide range of tasks using limited experience, operating with modest processing capacity, and consuming less energy than a …
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Press ‘1’ to speak to a machine: An examination of the psychological factors influencing preference for interaction with artificially intelligent actors
… for interaction with a human versus an artificially intelligent actor? How can these factors be used to increase adoption of novel technologies, and what are their broader societal impacts? In this dissertation, I answer these questions through two streams of research: Firstly, by …
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XMARCUS: A Pathway Towards Remote Robotic Surgery Coaching
… is a compilation work of human-robot, human-artificial intelligence, and human-computer interaction. The thesis provides a technical overview of the history of robotic surgery, present innovation, and future impacts. We present a behaviorist overview and describe our view of the overall …
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Towards Interpretable Vision Systems
Artificial intelligent (AI) systems today are booming and they are used to solve new tasks or improve the performance on existing ones. However, most AI systems work in a black-box fashion, which prevents the users from accessing the inner modules. This leads to two major problems: (i) users have …
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Software-Hardware Co-design For Deep Learning Model Acceleration
… have shown beyond-human performance in multiple artificial intelligent tasks. However, state-of-the-art DNN models still exhibit great issues on efficiency that pose significant obstacles to their practical application in real-world scenarios. To further improve the performance, modern DNN models …
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Forecasting macroeconomic models with artificial neural networks : an empirical investigation into the foundation for an intelligent forecasting system
This study investigates the foundation of an intelligent system using Artificial Intelligent (AI) technologies to assist decision makers in a specific business problem, namely business forecasting. In time series and macroeconomic modelling, there are many assumptions being imposed on the behavior …
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Fully moral artificial agents: future or fiction
… in technology that includes the development of Artificially Intelligent agents (AI) for various purposes. The extensive progress in AI has reached a point where the introduction of AI agents as android robots or humanoids into society is plausible. This highlights the evolving relationship …
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Automatic concept learning via information lattices
… concept learning is pervasive in humans, current artificial intelligent (AI) systems are mostly good at either applying human-distilled rules (rule-based AI) or capturing patterns in a task-driven fashion (pattern recognition), but not at learning concepts in a human-interpretable way similar to …
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