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Novel Approaches to Marker Gene Representation Learning Using Trained Tokenizers and Jointly Trained Transformer Models
(2021-08-19)
Next-generation DNA sequencing technologies have made marker-gene DNA sequence data widely available. Analysis of microbiome data has many challenges, including sparsity, high cardinality, and intra-study dependencies ...
Exploring Phishing Detection Using Search Engine Optimization and Uniform Resource Locator based Information
(2021-04-29)
Phishing attacks are the work of social engineering. They are used to trick users to obtain their sensitive/private information using malicious links, websites, and electronic messages. In this thesis, phishing attack ...
Data Science Strategies for Modelling Total Knee Arthroplasty Patient Variability
(2021-03-30)
Knee osteoarthritis (OA) can present through self-reported patient symptoms and joint-level manifestations, impairing mobility and function. Symptom relief and functional restoration of end-stage OA is typically treated ...
Using Visual Analytics and Interpretability Strategies to Understand the Impact of Input Variables on Indexes derived from Municipality (Urban) Data Sets
(2020-04-29)
Composite indices have been widely used in several domains as a measure to describe abstract concepts through the combination of variables. The current approaches for index creation and analysis do not have a comprehensive ...
A Machine Learning Framework for Host Based Intrusion Detection using System Call Abstraction
(2020-04-13)
The number of cyber threats is increasing faster than the number of defensive strategies deployed to tackle those threats. An automated Intrusion Detection System (IDS) has the capability to detect, classify, and predict ...
Reinforcement Learning with Real Valued Tangled Program Graphs
(2021-08-27)
Tangled Program Graphs (TPG) represents a framework for evolving programs under an explicitly emergent model for modularity. The framework has been very successful at discovering solutions to tasks with delayed rewards ...
ELECTRONIC GAMING MACHINE PLAYSTYLE DETECTION AND RAPID PLAYSTYLE CLASSIFICATION USING MULTIVARIATE CONVOLUTIONAL LSTM NEURAL NETWORK ARCHITECTURE
(2021-09-01)
Electronic Gaming Machines (EGM) are
common, anonymous, stateless gambling machines operated by a region’s lottery and
situated in licensed venues. Previous work have shown that problem
gambling detection is possible ...
AN E-PRESCRIPTION SYSTEM FRAMEWORK TO LOWER PRESCRIBING AND MEDICATION DISPENSING ERRORS USING BLOCKCHAIN, MACHINE LEARNING, AND NEAR FIELD COMMUNICATION (NFC)
(2021-08-26)
Medication errors are among the most significant risks facing the pharmaceutical industry. These errors can result from various issues such as a heavy workload, the misinterpretation of a prescriber’s handwriting, or ...
Deep Neural Network (DNN) Design: The Utilization of Approximate Computing and Practical Considerations for Accuracy Evaluation
(2021-08-04)
Approximate computing is emerging as a viable way to achieve significant performance enhancement in terms of power, speed, and area for system on chip (SoC) designs. Utilizing approximate computing in the design of deep ...
Identification of high-frequency periodic acoustic tags with deep learning
(2021-07-30)
Marine life researchers use the concept of fish tracking to determine the activity andbehaviour of fish. It allows the researchers to recognize the valuable biological andphysical support systems required by fish species ...