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.
Results
Showing 1 to 20 of 43 for “"AI algorithms."”.
-
Satellite Channel State Prediction based on Fade Slope and Artificial Intelligence (AI) Algorithms
… as Ka, Q/V), where there is adequate bandwidth available to achieve the required multi-gigabyte per second data rate. But these frequency bands become susceptible to attenuation during rainfall. The resulting rain attenuation sometimes exceeds what can be mitigated by providing sufficient fixed …
-
Interactive design process based on augmented intelligence : a framework and toolkit for designers to interact and collaborate with AI algorithms
… can use artificial intelligence, such as Genetic Algorithms, to deal with the design problems which seem impossible to be quickly resolved by the human mind. However, none of the current Al algorithms interact with the designers while executing the assigned tasks. Therefore, when the designers use …
-
Contributions to the Interface between Experimental Design and Machine Learning
… methods, such as deep learning and other AI algorithms, have been widely used in many applications. These machine learning methods often have complicated model structures with a large number of model parameters and a set of hyperparameters. Moreover, these machine learning methods are …
-
In What Ways Do Data-Driven AI Algorithms Impact Complex Real-World Systems and Decision-Making? [In Che Modo Gli Algoritmi di IA Basati sui Dati Impattano i Sistemi Complessi del Mondo Reale e il Processo Decisionale ?]
Nel campo in rapida evoluzione delle applicazioni basate sui dati, questa tesi di dottorato fa progressi nel settore degli algoritmi di intelligenza artificiale (IA) progettati per elaborare grandi dataset in vari domini applicativi. I dati giocano un ruolo critico in questo contesto, poiché …
-
Towards Energy-Efficient Edge Computing for tiny AI Applications
<p>As artificial intelligence (AI) applications become more common on the edge of networks, like Raspberry Pi servers, it is crucial to optimize their energy use. This research project investigates how AI algorithms affect energy efficiency and resource usage on Raspberry Pi servers. Two models …
-
Does Artificial Intelligence Bias Exist in Mortgage Underwriting Software? Investigating Bias, Regional Disparities, and Fair AI Models
… emulated Zou and Khern's (2022) analysis of AI Bias in Mortgage Applications. They used the Home Mortgage Disclosure Act (HMDA) dataset from the Federal Financial Institution Examination Council's (FFEIC) website to review mortgage loan data from 2019 to determine if there was bias in the AI …
-
The construction of optimal socially responsible investment portfolios in South Africa using traditional and artificial intelligence techniques
… meta-heuristic artificial intelligence (AI) algorithms have enhanced portfolio construction by addressing such constraints. Socially responsible investment (SRI) has gained popularity for its focus on sustainability, but using Environmental, Social and Governance (ESG) criteria in …
-
Artificial Intelligence for Android Stealth-Attack Detection: A Digital Forensics Approach
… exploited, an attacker can have access to the main memory where data is stored in clear text e.g., encryption keys. Over the years, various static and dynamic analysis techniques (both without and with execution) have been developed, particularly automatic detection systems based on Artificial …
-
Examining personality assessment in asynchronous video interviews (AVI): convergence between human personality judgements and AI/ML scoring
… (AVIs) scored using artificial intelligence (AI) algorithms are increasingly used, allowing candidates to record responses to interview prompts that are subsequently evaluated automatically by AI algorithms and/or human raters. As questions remain about the validity of AI-based AVI scoring …
-
Advancing Learning Analytics: Detect and Predict Confusion in Learners Through AI
… this study develops predictive models with AI, specifically focusing on confusion in online learning. The methodology integrates clustering, time series analysis, and advanced AI algorithms, including Generative AI, to detect confusion patterns and provide real-time interventions. Results …
-
Evaluating Artificial Intelligence in Breast Cancer Screening
… and performance of artificial intelligence (AI) in breast cancer screening. Breast cancer screening is conducted on a population scale using mammographic imaging for the earlier detection of breast cancer and has been shown to reduce mortality. A shortage of trained radiologists, as well as …
-
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 …
-
Monkey: Platform-Agnostic Hybrid-Cloud Cluster Compute Orchestration Designed for AI/ML
As AI/ML research progresses, the amount of compute needed to train and evaluate state-of-the-art AI algorithms consistently increases. With increasing needs for compute, researchers spend time designing distributed systems to scalably train and hyper-parameter optimize their latest model rather …
-
Steps towards proof construction using reinforcement learning : environments and models for hypothesis-posing as subtask creation
… in reinforcement learning (RL) that have allowed AI algorithms to master games such as Go from scratch, scant progress has been made on applying RL to one of the first tasks seen as susceptible to automation: theorem proving. I present steps towards training agents to construct proofs through …
-
Artificial Intelligence for Cyber Security Threats
… into the realm of Artificial Intelligence (AI) and its transformative impact on bolstering cybersecurity defenses against a myriad of threats. By harnessing AI's capabilities, ranging from machine learning algorithms to deep neural networks, this study explores the potential to significantly …
-
Automatic Game Parameter Tuning using General Video Game Agents
… a subfield of Game Artificial Intelligence that aims to study the usage of AI algorithms for assisting in game design tasks. This dissertation presents a research work in this field, focusing on applying an evolutionary algorithm to video game parameterization. The task we are interested in is …
-
AI in the Cath Lab: Implications of Clinical AI-Enabled Assistance for Intravascular Ultrasound Procedures
… tools enabled by artificial intelligence (AI) are entering the medical field slowly, emerging into a space not yet fully regulated by the FDA and with unclear impacts to both medical professionals and patients. Early AI-based clinical decision support systems in healthcare often focus on …
-
Ex Ante Approaches for Security, Privacy, and Enforcement in Spectrum Sharing
… capable of executing artificial intelligence (AI) algorithms to reconfigure their transmission/reception (TX/RX) parameters to communicate efficiently while avoiding interference with licensed (a.k.a. primary or incumbent) users and unlicensed (a.k.a. secondary or cognitive) users. When …
-
Human Learning-Augmented Machine Learning Frameworks for Text Analytics
Artificial intelligence (AI) has made astonishing breakthroughs in recent years and achieved comparable or even better performance compared to humans on many real-world tasks and applications. However, it is still far from reaching human-level intelligence in many ways. Specifically, although AI …
-
Analog-to-Digital Converters for Secure and Emerging AIoT Applications
AI algorithms based on convolutional neural networks (CNNs), coupled with their high computational requirements, have stimulated the development of novel energyefficient hardware. Analog neural networks (ANNs) with in-memory computing (IMC) using resistive random-access memory (RRAM) are promising …
Page 1 of 3