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 24 for “"artificial intelligence algorithms"”.
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Artificial Intelligence algorithms for environment perception and vehicle state estimation in assisted and autonomous driving
L'abstract è presente nell'allegato / the abstract is in the attachment
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A Comparison of artificial intelligence algorithms for dynamic power allocation in flexible high throughput satellites
… allocation strategies that use autonomous algorithms at the core of their decision-making systems. These algorithms must be able to find optimal resource allocations in real or near-real time. Traditional optimization approaches no longer meet all these DRM requirements and the research …
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Simulation and verification of autonomous route planning behavior
… in virtual city environments directly as well as artificial intelligence algorithms. It provides a platform for experimentation with various incentive mechanisms and information dissemination protocols that are critical for emergency planning during disruptions.
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Applicant justice perceptions of machine learning algorithms in personnel selection
Machine-learning artificial intelligence algorithms provide organizations with the opportunity to quickly and efficiently process information about potential employees while reducing costs associated with selection and turnover. However, any bias or error present in the programming of such …
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Combining Diverse Forms of Human and Machine Intelligence
Artificial Intelligence algorithms never operate in isolation but are always part of broader processes that often involve humans, other computer algorithms, incentive structures, and interfaces which modulate the interaction between them. This thesis takes this perspective and considers these …
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Teaching machines about emotions
Artificial intelligence algorithms are becoming an increasingly important part of human life with many chat bots and digital personal assistants now interacting directly with us through natural language. Such human-computer interaction can be made more useful by enriching the underlying algorithms …
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Neural network simplification using a progressive barrier based approach
… networks are indispensable to state-of-the-art artificial intelligence algorithms. However, its high accuracy comes at the cost of high computational complexity. This leads to the high operating cost of data centers and also hinders its deployment on mobile devices. In this thesis, we propose an …
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Developing an Automatic Generation Tool for Cryptographic Pairing Functions
… pairing, and its optimized parameters. Using artificial intelligence algorithms, it generates optimized code for the final exponentiation and for hashing a point to the required group using the parametrisation of the chosen family of curves. Support for several multi-precision libraries has …
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Trusted Unmanned Aerial System Operations
… is challenged by the use of non-deterministic artificial intelligence algorithms and ever-increasing lines of code. While correctness is conventionally determined through analysis and testing, it is impossible to train and test the system for all possible scenarios or formally analyze millions …
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Machine Learning Methods for Wastewater Treatment Plants
… data are an important resource for developing artificial intelligence algorithms that can identify process or sensor anomalies. However, using anomaly detection and classification algorithms in real-time wastewater treatment is challenging due to the multiclass and imbalanced nature of the …
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An Investigation into the Use of Artificial Intelligence Techniques for the Analysis and Control of Instrumental Timbre and Timbral Combinations
… part, such research has focused on creating algorithms to work with pitches and rhythm, which has resulted in a selection of sophisticated systems. Although the musical possibilities of these systems are vast, they are not directly considering another important characteristic of sound. Timbre …
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Mathematical methods for radio pulsar searching and applications
… application of innovative techniques, such Artificial Intelligence algorithms, to all aspects of our lives, including science itself. In this PhD thesis, we will focus on the applications of mathematical algorithms in astrophysics, specifically those used to search for radio pulsar signals …
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Developing Deep-Learning Methods for Diagnosis and Prognosis of Pediatric Progressive Diseases Using Modern Imaging Techniques
… analysis tools based on 3D/2D deep learning algorithms can help improve the quality and consistency of image diagnosis and interpretation for cognitive disorders in infants. We propose to automate neuroimaging analysis with artificial intelligence algorithms. This novel approach can be used …
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ATTACK AND DEFENSE IN SECURITY ANALYTICS
… streaming data acquisition, collection, and artificial intelligence algorithms for security monitoring and threat disclosure. In this dissertation work, we utilize practical data-driven security analytics to identify the potential threat and explore the robustness of the machine learning …
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Deep learning methods for enabling real-time gravitational wave and multimessenger astrophysics
… machine learning method based on artificial neural networks. In this thesis we develop robust GW analysis algorithms for analyzing real LIGO/Virgo data based on deep learning with neural networks, that overcomes many limitations of existing techniques, allowing real-time detection …
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Deep reinforcement learning for adaptive monitarizacion and patrolling of water resources with unmanned surface vehicles
… over the past 10 years in the development of Artificial Intelligence algorithms for autonomous decision-making in mobile robotics to apply to the monitoring of hydrological resources. The two fundamental problems of monitoring in rivers and lakes have been outlined: on one hand, informative …
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Sensor-based artificial intelligence to support people with cognitive and physical disorders
… coupled with signal processing methods and artificial intelligence algorithms. The first part of the thesis focused on mental state monitoring. We investigated the application of a low-cost portable electroencephalography sensor and supervised learning methods to evaluate a person's …
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Architecture of a cognitive non-line-of-sight backhaul for 5G outdoor urban small cells
… MIMO technologies, and supporting intelligent algorithms to facilitate reliable NLOS street-to-rooftop NLOS SCB connectivity. In the proposed architecture, diffraction points are used as signal anchor points between backhaul radio devices. In the new architecture the integration of these …
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An autonomous decision support system for smart farming to increase crop productivity
… agriculture, leveraging IoT, machine learning, artificial intelligence, drones, and robotics to make a quantum leap in the future of the agricultural sector. By integrating advanced technologies into agricultural operations, this study seeks to enhance resource use and increase yields. Also, …
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Island Genetic Algorithm-based Cognitive Networks
… networks demands coupling network nodes with intelligence to perceive and adapt to different network conditions autonomously. Cognitive Networking is an emerging networking research area that aims to achieve this goal by applying distributed reasoning and learning across the protocol stack and …
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