Full list
You will be redirected to the institution’s website in order to read these documents.
-
2024 — Trust-aware virtual network embedding algorithms for wireless sensor networksAbstract
Network virtualization (NV) in wireless sensor networks (WSNs) enables the utilization of their shared sensing capabilities. Efficient assignment of WSN resources to maximize the infrastructure provider’s revenue can be achieved by virtual network embedding (VNE) while considering the quality of information (QoI), quality of service (QoS), and wireless interference handling constraints. Improving the acceptance rate of VNE is essential because the more the virtual network requests (VNRs) can be mapped onto the substrate network, the more revenue they will generate for the infrastructure provider. However, the shared and complex nature of VNE exposes WSNs to security risks. In this thesis, … Read more
-
2024 — Designing open-source, cross-platform user interfaces for improving home careAbstract
Long-term care (LTC) facilities, once the primary source of healthcare for aging citizens face critical shortages that are increasing due to heightened demand for healthcare services. In Canada, LTC facilities struggle to meet the growing needs, which have only increased since the COVID-19 pandemic. As a result, there is a shift in preference among aging citizens towards staying in their homes, emphasizing the importance of robust home care (HC) systems. Local data suggests that by 2038, over half of Saskatchewan's population is estimated to be 55 and older, emphasizing the pressing local demands. Furthermore, statistics released in 2020 indicate around … Read more
-
2024 — Time-optimal motion planning of multiple collaborative robots for pick-and-place tasksAbstract
The ongoing revolution in robotic automation presents unparalleled opportunities and complex challenges for manufacturing industries. This thesis investigates optimization strategies for a fundamental robotic action: pick-and-place operations. Utilizing MATLAB's Robotics Toolbox, we devise detailed simulations, ranging from dual-robot static workflows (Scenario 1) to conveyor-integrated dynamism (Scenario 2). This research employs diverse optimization techniques that leverage both kinematic modeling and an analysis of robot dynamics for trajectory planning. The outcome? Significantly shortened task execution times through iterative trajectory refinement and tailored adjustments to the simulated work environment. Results not only underscore the tangible impact of simulation-driven optimization, but also point towards … Read more
-
2024 — Influence of pore structure and fluid properties on the dynamics of foamy oil production: an experimental and numerical analysisAbstract
Cyclic Solvent Injection (CSI) stands out as one of the leading solvent-based post-CHOPS Enhanced Heavy Oil Recovery (EHOR) methods, celebrated for its energy efficiency, improved oil quality, and environmental benefits. Given the escalating concern over greenhouse gas emissions, exploring the use of CO2 in EHOR methods is crucial for mitigating the greenhouse effect. Studies have demonstrated that mixing CO2 with other solvents can enhance CSI performance by leveraging foamy oil flow as the primary driving force. Our state-of-the-art microfluidic systems, developed in-house, offer precise visualizations of the process, and enable controlled simulation of reservoir properties throughout experimental series. In this … Read more
-
2024 — The development of an efficient model using deep learning for stray clays position prediction in the GPR data for potash mining operationsAbstract
This thesis focuses on the analysis of ground penetrating data obtained from potash mining room roofs with the goal of enhancing safety through the automatic detection of anomalies in the roofs. Ground Penetrating Radar (GPR) is a tool used to detect the position of geological layers of the earth. This is possible by transmitting an electromagnetic (EM) signal through an antenna and capturing the reflected signal representing the positions of the layers. Conventionally, a region of at least 60 centimeters from the roof to the 414 clay seam is necessary for mining operations. Therefore, detecting the position of the 414 … Read more
-
2024 — The Bures metric: from positive linear functionals to completely positive mapsAbstract
This thesis aims to explore the evolution of the notion of the Bures metric in Operator Algebras, from its introduction by D. Bures in 1969 for normal states of von Neumann algebras to its extension to completely positive maps of C∗-algebras by D. Kretschmann, D. Schlingemann, and R. Werner in 2008. While Bures’ work is rooted in von Neumann algebras, our primary focus will be on unital C∗-algebras. We will explore the definitions and main properties of the Bures metric for positive linear functionals, providing bounds and additional insights into fidelity — a measure closely related to the Bures metric. … Read more
-
2024 — Historical accuracy in two video games: a study on reception theory and historical representation in Assassin's CreedAbstract
Historical video games are a class of video games set in the past, and these games are considered authentic representations of the past by players. An examination of female nonplayable characters (NPCs) in Assassin’s Creed: Origins and Assassin’s Creed: Odyssey using reception as a theoretical framework gauges the historical accuracy of the representations. While some aspects of the depictions were accurate, the accurate aspects were often supplemented with invented and inaccurate details, and other aspects were entirely ahistorical. Historical representations in video games have an impact on players’ understanding of the past, and because video games see regular graphical and … Read more
-
2024 — Evaluating the effectiveness of analogies in an infographic on low-dose radiationAbstract
The aim of this research is to address misconceptions about Low Dose Radiation (LDR) by using analogies. The nuclear industry has shown that trust is asymmetrical, meaning it is easily lost and hard to regain. This was evident in Saskatchewan, where a public inquiry in 2008 revealed a significant lack of trust. Conversely, Saskatchewan possesses one of the largest uranium reserves globally, offering a carbon-neutral energy source. Additionally, it is increasingly cost-effective in the context of carbon pricing, making it an appealing option to fulfill the province’s energy and carbon objectives while ensuring energy security. The choice of analogies is … Read more
-
2024 — Machine learning-based models for failure prediction and propagation in smart grid systemsAbstract
The smart grid connects components of power systems and communication networks in an interdependent two-way system that supplies or receives electricity to or from prosumers and collects data that enables it to react to usage levels and interference from threats, such as cyber-attacks. Cascading failures resulting from cyberattacks are one of the main concerns in smart grid systems. The use of artificial intelligence (AI)-based algorithms has become more relevant in identifying and forecasting such cascading failures. However, existing models that study the propagation of cascading failures either omit the impact of the communication network or power characteristics on the propagation … Read more
-
2024 — Depicting variable elimination with Bayesian networksAbstract
This thesis presents a novel graphical representation of variable elimination in discrete Bayesian networks (BNs) utilizing the BN’s directed acyclic graph (DAG) component. This includes methods representing both multiplication and marginalization operations. This graphical representation is achieved by introducing what are known as compound BN nodes, whose presence denotes a compound BN. The key to fitting them into the pre-existing BN DAG is to re-evaluate what a single node in the DAG represents; not a single variable, but the left-hand side of a single conditional probability table (CPT) of the BN. Using compound BNs allows for more descriptive nodes that … Read more
-
2024 — Exploring factors that influence trust in non-standard stem cell therapies among patients with musculoskeletal conditionsAbstract
Although stem cell interventions (SCIs) may offer some therapeutic potential, the development of regulatory frameworks for their safe clinical application remains a significant challenge. As the regulation of these innovative therapies is still being developed, it is crucial to examine the factors that shape patients’ trust in these interventions that lack clear oversight. The purpose of this study is to explore the factors that influence the trust in nonstandard SCIs among patients with musculoskeletal disorders as well as their understanding of the role regulatory bodies play in ensuring safe and effective treatments. This understanding will be relevant to policy development … Read more
-
2024 — A robust intrusion detection system utilizing uncertain reasoning techniques in artificial intelligenceAbstract
Network Intrusion Detection Systems (NIDS) are essential components in cybersecurity, but they face several challenges, including uncertainty and a significant computational overhead. Network attacks and unauthorized access to remote computers can be detected by NIDS. Artificial Intelligence (AI) techniques have been used to automate the intrusion detection process and reduce human intervention, thereby enhancing intrusion detection systems (IDS) performance. AI techniques, such as fuzzy logic, neural networks, and evolutionary computing can also be used in IDS. One proposed application of AI is to utilize evidential reasoning to handle uncertainty in NIDS. This approach leads to more efficient abnormality detection in … Read more
-
2024 — Crushed: Climate anxiety and grief support through ceramic artAbstract
“Crushed: Climate Anxiety and Grief Support through Ceramic Art” is the support paper that accompanies my Master of Fine Arts graduating thesis exhibition, Crushed, an installation held at the Fifth Parallel Gallery from August 19-28, 2024. This paper delineates the exhibition its background, development, context, methodology, and artistic influence. It describes components of this project that extend beyond the gallery, and anticipants audience participation and reception. Crushed is an expression of my climate change anxiety and grief. With a floor scattered with super fragile ceramic vessels and a text about my fear and sadness on the walls, Crushed shows participants … Read more
-
2024 — Analyzing distributions using a systematic programmable approach as persistent homologyAbstract
Persistent homology is a tool in mathematics used for analyzing data topologically. This analysis is made possible through one of its components called a filtered simplicial complex, which is a sequence of nested simplicial complexes. With this, we can obtain our persistent π0 (gaps) which is the number of connected components, and also apply homology on the filtration to obtain the persistent homology. This thesis focuses on the comparison of three fundamental probability distributions which are the Normal distribution, Uniform distribution, and Exponential distribution, using a Python code to derive a filtration, which we analyze to obtain persistent homology. The … Read more
-
2024 — Bayesian probabilistic projections of future climate over Canada based on the RCM ensembleAbstract
In this research, a series of approaches are proposed to address the challenges in generating robust probabilistic projections of climatic variables (e.g., temperature, precipitation, and Intensity-Duration-Frequency curves) and analyzing the associated uncertainties based on the Regional Climate Model (RCM) ensemble. The proposed approaches have been applied to Canada for demonstrating their effectiveness. Specifically, a new discriminant-Bayesian Model Averaging (BMA) ensemble climate modeling (DBEC) approach is developed to help address the neglected spatiotemporal variations of model biases. Through the proposed method, the BMA weights are used as prior distributions to drive the Bayesian discriminant analysis in order to generate refined weights … Read more
-
2024 — Advanced approaches to ruin probability and novel extensions of Hoeffding Inequalities in insurance mathematicsAbstract
In the ever-evolving domain of risk theory, understanding the intricate relationships between ruin probability, risk management, and the complexities of financial mathematics has never been more imperative. This thesis provides a comprehensive exploration into the nuances of ruin probability and its critical importance in the modern financial landscape. By delving deep into the mathematical intricacies, the study generalizes Hoeffding inequalities for random variables belonging to an extended acceptable class. This generalization is pivotal, leading to the establishment of the minimum premium rate. The thesis achieves this through the construction of an exponentially decaying upper bound for the ruin probability, built … Read more
-
2024 — Winter ice angling using tip-ups: Influence of tackle and bait types on Northern Pike (Esox lucius) behaviour and catch and releaseAbstract
Catch and release angling is a multi-billion-dollar global industry and an important management tool. The effects of catch and release have been well studied in open-water fisheries, but the behaviour of fish in the winter and how they respond to catch and release ice angling has not been well studied. The gap in knowledge is critical to address given that fish in the winter are exposed to different conditions and stressors, including cold temperatures, different hook styles, and different approaches to fishing. In northern regions of the world, anglers commonly target northern pike (Esox lucius; hereafter pike) in the winter … Read more
-
2024 — Real-time Evaluation of an Automated Computer Vision System to Monitor Pain Behaviour in Older AdultsAbstract
A large body of literature supports the systematic observation of facial expressions as a tool for assessing pain in both younger and older adults. Such observation is especially critical for older adults who have limited ability to communicate their pain experience due to dementia. While frequent monitoring of pain behaviours in dementia is constrained by resource limitations, computer vision technology has the potential to mitigate these challenges, especially in long-term care environments where many people with severe dementia reside. A computerized algorithm designed to assess pain behaviour in older adults with and without dementia was recently developed and validated against … Read more
-
2024 — Paramedic students and their mental readiness for fieldworkAbstract
The present research elicits the mental health preparedness of paramedic students, in relationship to preparedness by their academic institution for fieldwork. Paramedic student’s mental health preparedness has not been extensively explored; improved understanding could result in better mental health services for paramedics-in-training. Paramedics are at a heightened risk for psychological distress. The research, led by a social worker, elicited paramedic student experiences prior to experiencing psychological distress. The research was conducted in Canada’s Prairie provinces, although no Manitoba participants opted to take part in this research. For the research, 43 participants completed the 12-question survey on study eligibility and mental … Read more
-
2024 — The impact of 3D printing on traditional construction supply chains: Challenges, benefits, and a proposed frameworkAbstract
The construction supply chain is surrounded by various challenges which hinder its effectiveness. The increasing need for housing due to the fast-growing population in North America is a matter of concern for decision makers. 3D printing or additive manufacturing is an emerging technology that is being considered as a potential solution to housing issues. The purpose of this study is to highlight the existing challenges encountered by traditional construction supply chains and the potential advantages that 3D printing, or specifically 3D concrete printing, can offer in overcoming these challenges with the help of mitigation strategies. In order to achieve this … Read more
-
2024 — Integrating stewardship and resource recovery: A dual-faceted analysis of e-waste and used oil management practices of Canadian provincesAbstract
Canada faces significant challenges in waste management, driven by high per capita waste generation. To address these issues, the country has implemented various waste management stewardship programs aimed at improving waste collection and resource recovery. This study examines the crucial role of stewardship in managing e-waste and used automotive resources including used oil, filters and containers. By focusing on stewardship practices, it highlights how effective management can improve collection rates, enhance resource recovery, and strengthen financial performance. The analysis emphasizes the importance of stewardship approaches to handling these special waste types, illustrating their potential to reduce environmental impact while optimizing … Read more
-
2024 — All that is carriedAbstract
This paper supports my Master of Fine Arts thesis exhibition, All That Is Carried, presented at The Fifth Parallel Gallery from November 25 to December 7, 2024. All That Is Carried concerns ideas of home, longing, displacement, and memory. My intention is to convey feelings of disorientation and in-betweenness caused by leaving my family home, and home country. This exhibition addresses the complexity of my transitional state between homes. The installation consists of unstretched, shaped, and cut fabrics painted with images of interiors of my former home in Iran. The paintings draw from photographs I took of my former home. … Read more
-
2024 — Fabrication of PLA-hemp 3D printing filamentsAbstract
This thesis focuses on the development and evaluation of polylactic acid (PLA) composites infused with hemp fibers for 3D printing applications. The project aims to leverage the intrinsic properties of hemp fibers and PLA to create a material that mitigates brittleness and enhances biodegradability while maintaining mechanical performance and printability. The methodology involves fabricating composite filaments from 2 mm PLA pellets and 0.4 mm hemp fiber particles. Hemp fiber at varying weight ratios (5 wt%, 10 wt%, and 15 wt%) was extruded using a single screw extruder. The optimal ratio was determined among these blends for maximum tensile and flexural … Read more
-
2024 — Application of density functional theory and machine learning in the prediction of efficient catalysts for the oxidative coupling of methane with reduced CO2 production at low temperatureAbstract
The oxidative coupling of methane (OCM) remains a promising means for the production of ethylene. Though high temperatures of 900 oC and above lead to increased conversion of methane, at higher temperatures, the OCM reaction tends to favour a competing reaction that leads to the production of COx product. This thesis focuses on the generation of catalyst component electronic properties via density functional theory (DFT) and the analysis via machine learning (ML) techniques of the combination of the DFT-computed electronic properties and high-throughput experimental data comprising 12708 data points. The DFT data includes the catalyst components' bandgap, Fermi energy and … Read more
-
2024 — Examining the gut microbiota in agingAbstract
The human gut microbiome, comprised primarily of bacteria, plays a crucial role in overall health and physiology by regulating metabolism, immunity, and behavior through the microbiota-gut-brain axis (MGBA). Key functions include fermenting complex carbohydrates into short-chain fatty acids (SCFAs) that maintain gut integrity, modulating inflammation, and influencing energy homeostasis (i.e., food intake regulation). For example, SCFAs can play a role in food intake regulation by directly or indirectly influencing episodic appetite signals (ghrelin, glucagon-like peptide 1 [GLP-1]) and tonic appetite signals (leptin, insulin). Gut dysbiosis, or an imbalance in the gut microbiome, leads to altered metabolic processes, increased epithelial permeability, … Read more
-
2024 — A mixed methods study on barriers and facilitators to exercise for suicidal ideation managementAbstract
Suicide is a leading cause of premature death. Innovative and effective interventions are needed to prevent suicide deaths. Randomized controlled trials (RCTs) have demonstrated that a variety of structured exercise programs (e.g., aerobic exercise, resistance training exercise) improve mental health, including reducing anxiety and depressive symptoms. Moreover, failure to meet established guidelines for physical activity is associated with increased odds of experiencing suicidal behaviours. Exercise may, therefore, be one intervention option to reduce the suicidal behaviours (i.e., suicidal ideation [SI] and plans for suicide) that often precede suicide. In order to benefit from the effects of exercise, individuals with suicidal … Read more
-
2024 — Dielectric characterization of materials and lossy filter design using reflected group delayAbstract
Filters play a significant role in different types of communication systems such as radars, cellular mobile and satellite communication. They are helpful in improving the performance of a communication system by restricting the transmission to the intended frequency band and rejecting the interfering signals from outside. Filters are expected to provide distortion free transmission to the signals in the passband and thus require flat in-band response and an adequate amount of out-of-band rejection. Filter technologies employing coaxial, waveguide and dielectric resonators can meet these requirements but at the cost of large size. Low loss in these filter technologies can be … Read more
-
2024 — Application of data-driven and physics-driven models in predicting vibratory responses of nonlinear dynamic systemsAbstract
The investigation of chaotic vibrations is essential for understanding the vibro-responses of engineering structures subjected to external excitations. This understanding is crucial for developing advanced strategies to control chaotic structural instability and sensitivity. Traditional methods for investigating chaotic vibration behavior rely on physics-based model establishment, where physical models are mathematically analyzed through complex calculations of differential equations. Although the development of analytical and numerical theories is relatively mature, the costly human labor required for feature engineering and high demands for expert knowledge in mathematical and physical domains limit its application in engineering fields to a certain extent. Therefore, this research … Read more
-
2024 — Geochemical modeling of diagenesis, hydrothermal alteration, and unconformity-related uranium mineralization in the Athabasca Basin, Saskatchewan, CanadaAbstract
Unconformity-related uranium (URU) deposits in the Athabasca Basin were interpreted to have formed through interactions between oxidizing basinal fluids and reducing basement-derived fluids or basement lithologies under diagenetic-hydrothermal conditions. However, there is controversy regarding whether U is ultimately derived from the basin or the basement, fluid flow mechanisms responsible for metal leaching and transport, and deposition mechanisms of ores. This study uses geochemical modeling to: 1) determine fluid flow patterns responsible for U leaching and transport in the Athabasca basin; 2) recognize critical factors controlling ore deposition near the unconformity intersected by basement faults; and 3) constrain metal sources, fluid … Read more
-
2024 — A security risk assessment framework for IoT systemsAbstract
The emergence and growth of the Internet of Things (IoT) have changed how we live and interact with technology. The seamless integration of connected devices, from household to industrial equipment, has brought about a new era of interconnectedness. However, this rapid expansion of the IoT also introduces new security concerns that need to be assessed. Assessing the security risks associated with deploying and using this technology is crucial. Consequently, organizations need a risk assessment framework that helps identify, evaluate, and manage the risks of IoT, including data privacy and confidentiality, system integrity, availability, and performance. The stateof- the-art has been … Read more
-
2024 — Regina Lawn Bowling Club Open-source Accessibility ProjectAbstract
This critical engagement paper supports and documents an interdisciplinary project, integrating maker culture, people-centered design, and community-based research to address key issues identified by the members of the Regina Lawn Bowling Club (RLBC) community, including concerns around the ability of the aging members to continue participating in the sport, potential for addressing social isolation, and other concerns related to health and wellness. The questions guiding my creative research were: (1) How could integrating maker culture, people-centered design, and community-based research address identified concerns by the RLBC such as isolation, engagement, and accessibility to continue play and social involvement?; and (2) … Read more
-
2024 — A serving of empathyAbstract
A Serving of Empathy, my MFA graduating exhibition at the Fifth Parallel Gallery at the University of Regina (June 10–21, 2024), consists of two bodies of work. Potent Moments (2024) is a collection of sixteen ceramic plates exploring the lives of young people at moments of crisis, transition, and suspense. Fragments of Memory (2022) is a suite of ten conjoined ceramic plates that depict my mother’s train journey from Regina to Victoria in 1950 when she was fifteen. The plates are displayed on the gallery walls at eye-level. In addition, “Carousel of Innocence,” an interactive work set on a low … Read more
-
2024 — Da-SeinAbstract
DA-SEIN, my MFA Thesis Project, explores the vessel as a conceptual container, which helps ideas of the self or lived experience become tangible. At the center of the project is my 'lived experience' as a woman, a single mother, a human being, as connected to phenomenology and feminist research inquiries. The terms ‘lived experience’ and ‘container’ are foundationally drawn from Ursula Le Guin’s essay “The Carrier Bag Theory of Fiction.” My MFA project includes four distinct works, which are exhibited in conversation with each other. The metaphoric and metamorphic cocoon-like structures in the piece Hüllen [hulls] are the focal point … Read more
-
2024 — Settler school psychologists readiness to decolonize practiceAbstract
This study presents a modified grounded theory analysis of settler school psychologists’ engagement with the idea of “decolonizing” their professional practice in working with Indigenous students and their families. Data was gathered through two rounds of interviews with seven settler school psychologists across Western and Northern Canada who are active in the profession. A personalized “self-location” situates the researcher as a settler school psychologist as a means of challenging psychology’s perception of itself as an “objective” science. Decolonization theory is explored from a variety of perspectives beginning with the work of Frantz Fanon (1961/2021). A variety of critical frames, including … Read more
-
2024 — Responses to hawking attack and distress call sequences by bats in SaskatchewanAbstract
Eavesdropping on acoustic signals can be an important decision-making tool for many animals. Despite how much research has gone into how bats use sound for orientation and foraging, surprisingly little research has focused on eavesdropping as a decision making and survival tool. I assessed how four insectivorous bats in North America, the big brown bat (Eptesicus fuscus), hoary bat (Lasiurus cinereus), silver haired bat (Lasionycteris noctivagans), and little brown bat (Myotis lucifugus) responded to conspecific and heterospecific call sequences. I played distress and aerial hawking attack sequences along Battle Creek in Southwest Saskatchewan, Canada and used acoustic detectors to determine … Read more
-
2024 — Nanocellulose-based materials for sustainable soil remediation and water purificationAbstract
Soil and water pollution are intricately linked environmental issues that have gained significant global attention due to their adverse effects on ecosystems, public health, and overall sustainability. In this dissertation, the pressing need for sustainable pollutant treatment using ecofriendly and biodegradable nanocellulose (CNC) biopolymers is addressed. This research focuses on the development of CNC-based materials, characterization of their adsorption behaviors, evaluation of CNC-mediated algal toxicity, and exploration of the application of the these materials in sustainable soil remediation and water purification. In the first part, the utilization of CNC nanofluid as an eco-friendly agent for the remediation of phenanthrene (PHE) … Read more
-
2024 — Screening of polyamine solvents for co2 capture: Solubility measurement and modelingAbstract
This research aims to identify new promising amines suitable for industrial-scale CO2 capture from natural and flue gas streams. Ideal amines should exhibit high CO2 solubility and low regeneration energy requirements. The amines selected for this study feature multiple amino groups, including combinations of secondary and tertiary amino groups within their molecular structures. The solubilities of two amines in CO2 were examined in this work: 1-[Bis[3-(dimethyl-amino) propyl]amino]2-propanol (BDMAPAP) and N, N, N', N', N''-Pentamethyl diethylene-triamine (PMDETA). The pressure decay method was used to measure and determine the solubilities. To fully assess the performance of these amines under varied circumstances, experiments … Read more
-
2024 — Performance evaluation of a multifractured horizonal well in an unconventional reservoir with fracture networks and flow dynamicsAbstract
With the advancement of horizontal drilling and hydraulic fracturing technologies, the unconventional reservoir resources (e.g., tight oil and shale gas) have received a growing attention; however, it is a challenging task to accurately simulate the transient pressure response and single/two-phase flow behaviour due to the reservoir boundary, fracture geometry, fracture network, and flow dynamics including stress-sensitivity, slippage effect, non-Darcy flow, and gas adsorption/desorption. Therefore, it is of a fundamental and practical importance to evaluate the performance of a multifractured horizontal well (MFHW) in an unconventional reservoir conditioned to an arbitrary boundary, fracture geometry, and complex fracture networks with the consideration … Read more
-
2024 — Joint survival and longitudinal modelling for combined cohortsAbstract
A primary goal of survival analysis is modelling the time from an initial event to a failure event and the factors which affect the hazard rate. In this thesis, we consider data drawn from an incident cohort study with follow-up and a prevalent cohort study with follow-up, yielding right-censored failure time data and left-truncated right-censored failure time data, respectively. In addition to the failure/censoring times, we assume the survival data include other measured covariates, for example, longitudinal measurements collected throughout the failure/censoring time durations. In this thesis, we review the methods of estimation for the proportional hazards model, the linear … Read more
-
2024 — Using machine learning methods to estimate spruce tree crown and DBH from aerial imageryAbstract
Spruce trees play a vital role in Canada’s forest ecosystems, which is widely used in construction, paper production, and other industries. However, spruce trees are particularly susceptible to wildfires, which pose a major risk to both natural landscapes and human settlements. Therefore, to evaluate the spruce forest biomass volume is an important step to estimate its yield and combustibility. This paper aims to use Machine Learning (ML) approaches to estimate the biomass volume of spruce trees from aerial top-view images. Since the aerial images are only show the tree crown shapes, we set up the relationship between tree crown diameter … Read more