Browsing by Subject "Machine learning"
Now showing items 1-13 of 13
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ANALYSING MARINE ANIMALS CHARACTERISTICS USING CONVOLUTIONAL NEURAL NETWORKS
(2019-08-09)The thesis explores the efficacy of convolutional neural network(CNNs) to categorize lobster images for improving lobster grading and traceability. Traceability ensures that lobsters are traceable to a sustainable source. ... -
BIOMASS ESTIMATION OF FISH USING DEEP NETWORKS AND STEREO VISION
(2020-05-15)Mass of an object is essential information for many an industrial application. The aquaculture industry estimates the fish's weight by scaling a sample of fish out of growing tanks. This process harms fish and reveals an ... -
COUGAR: A System for Clustering Unknown Malware Using Genetic Algorithm Routines
(2020-12-08)Malicious software is a persistent threat across our digital platforms. With unending malware growth, and increasingly higher profile attacks, organizations across the world are ramping up their cyber defence capabili ... -
Evolving Policies to Solve the Rubik's Cube: Experiments with Ideal and Approximate Performance Functions
(2016-08-26)This work reports on an approach to direct policy discovery (a form of reinforcement learning) using genetic programming (GP) for the 3 x 3 x 3 Rubik's Cube. Specifically, a synthesis of two approaches is proposed: 1) a ... -
Feature based adaptive motion model for better localization
(2014-05-13)In the 21st century, we are moving ahead in making robots a ubiquitous part of our everyday life. The need for a robot to interact with the environment has become a necessity. The interaction with the world requires a sense ... -
IDENTIFYING MIGRATION FATE AND FACTORS CONTRIBUTING TO MORTALITY OF ATLANTIC SALMON SMOLTS
(2021-12-15)Atlantic Salmon populations are in decline throughout their native distribution largely due to poor estuarine and marine survival. Predation is a significant source of salmon smolt mortality during migration from freshwater ... -
An Intrusion Detection System for Internet of Medical Things
(2021-06-25)The term IoMT (Internet of Medical Things) describes the connection of medical devices and software applications relating to healthcare information to the Internet using networking technologies. While these technologies ... -
Microplastic Contamination in Homarus americanus (American lobster) from Mi’kma’ki (Nova Scotia), Canada
(2023-08-30)Plastic pollution and microplastics (plastic pieces <5 mm) are global concerns due to detrimental effects on ecosystems and human health. This study investigated microplastic contamination in commercial Homarus americanus ... -
Predicting Catch-Per-Unit-Effort Using Semantic Trajectories and Machine Learning
(2020-04-20)This work presents a framework for the prediction of catch-per-unit-effort (CPUE)—an important index in the assessment of fisheries resource exploitation—using three data sources from the North Adriatic region: fishing ... -
Prediction of Crime Occurrences: A data-driven approach for single domain and cross-domain learning
(2020-12-15)Nowadays, urban data such as demographics, infrastructure, and crime records are becoming more accessible to researchers. This has led to improvements in quantitative crime research, such as identifying factors that ... -
Risk Estimation using Random Forests
(2017-04-06)The random forest probability machine (RFPM) introduced by Dasgupta et al. (2014) is a consistent, non-parametric regression technique that, when applied to binary outcomes, enables calculation of predictor effect size ... -
Semantic Segmentation Based Method for Platelet Quantification in Dense Aggregates
(2024-08-29)Identifying different blood components such as red blood cells, different types of white blood cells, and platelets is an important tool for health practitioners. A local company has developed a lens-less near-field ... -
STACKED DENOISING AUTOENCODER BASED PRICE PREDICTION AND CLUSTERING OF REAL ESTATE PROPERTIES
(2018-10-31)This work develops a framework for residential real estate price prediction and clustering properties in Nova Scotia province. It differs from other studies by covering large geographic area and by defining submarkets. We ...