ABSTRACT This thesis specifically focuses on ARP spoofing attacks and proposes an algorithm that leverages the Dynamic Source Routing (DSR) protocol to detect and prevent such attacks in MANETs. …
Design and Implementation of Anaphora Resolution for Igbo’s Personal Pronoun
ABSTRACT In this study, we propose a model for resolving anaphora occurrences in Igbo text using a knowledge-poor approach. The approach does not rely on sophisticated linguistic knowledge, and …
DESIGN AND IMPLEMENTATION OF DATA MINING ALGORITHMS ON OPEN SOURCE INTELLIGENCE TO COMBAT CYBER CRIME
ABSTRACT In this dissertation, we investigate the applications of data mining algorithms on online criminal information. Ever since the entry of the information era, the development of the World …
DESIGN AND IMPLEMENTATION OF OCULAR DISEASE DIAGNOSIS IN COLOR FUNDUS IMAGE
ABSTRACT Non-invasive assessment of retinal fundus image is well suited for early detection of ocular disease and is facilitated more by advancements in computed vision and machine learning. Most …
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DESIGN AND IMPLEMENTATION OF ROBUST AND INTERPRETABLE DEEP LEARNING
ABSTRACT Recent progress in deep learning has enabled applications in many areas, such as business, security, and science, that could impact our lives. Despite recent advances in these domains, …
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DESIGN AND IMPLEMENTATION OF SPATIOTEMPORAL DEEP LEARNING ARCHITECTURES FOR DATA-DRIVEN LEARNING OF BRAIN’S NETWORK CONNECTIVITY
ABSTRACT Brain disorders are often linked to disruptions in the dynamics of the brain’s intrinsic functional networks. It is crucial to identify these networks and determine disruptions in their …
DESIGN AND IMPLEMENTATION OF GENERAL AI USING CONTINUAL, ACTIVE LEARNING IN LARGE AND FEW SHOT DOMAINS
ABSTRACT Lifelong learning a.k.a Continual Learning is an advanced machine learning paradigm in which a system learns continuously, assembling the knowledge of prior skills in the process. The …
DESIGN OF DATA-CENTRIC ARTIFICIAL INTELLIGENCE WITH FLEXIBLE PHOTOREALISTIC SIMULATIONS
ABSTRACT Machine Learning requires data. Without the availability of large, high-quality datasets, the success of deep learning in recent years would not have been possible. Data is the fundamental …
DESIGN AND IMPLEMENTATION OF SERVICE FUNCTION PROTECTION IN NETWORK FUNCTION VIRTUALIZATION
ABSTRACT In the next generation of networking paradigms, network services are expected to be pro- vided with low latency, high reliability, and high connection density. With network function …
DESIGN AND IMPLEMENTATION OF DEEP INTERPRETABILITY METHODS FOR NEUROIMAGINGDE
ABSTRACT Brain dynamics are highly complex and yet hold the key to understanding brain function and dysfunction. The dynamics captured by resting-state functional magnetic resonance imaging data …
DESIGN OF IMPROVED VISIBLE LIGHT COMMUNICATION RECEIVER PERFORMANCE BY LEVERAGING THE SPATIAL DIMENSION
ABSTRACT In wireless communications systems, signals can be transmitted as time (temporal) or spatial variants across 3D space, and in both ways. However, using temporal variant communication …
IMPLEMENTATION OF HYBRID ENERGY-BASED MODELS FOR IMAGE GENERATION AND CLASSIFICATION
ABSTRACT In recent years, deep neural networks (DNNs) have achieved state-of-the-art performance on a wide range of learning tasks. Among those tasks, two fundamental tasks are discriminative …