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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 ...
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 ...
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. ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...