Open Access. Powered by Scholars. Published by Universities.®
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Computer Sciences (87)
- Environmental Sciences (30)
- Chemistry (24)
- Artificial Intelligence and Robotics (21)
- Life Sciences (16)
-
- Engineering (15)
- Physics (10)
- Mathematics (5)
- Bioinformatics (4)
- Earth Sciences (4)
- Statistics and Probability (4)
- Atomic, Molecular and Optical Physics (3)
- Biochemistry (3)
- Biochemistry, Biophysics, and Structural Biology (3)
- Computer Engineering (3)
- Electrical and Computer Engineering (3)
- Geology (3)
- Materials Chemistry (3)
- Medical Specialties (3)
- Medicine and Health Sciences (3)
- Operations Research, Systems Engineering and Industrial Engineering (3)
- Animal Sciences (2)
- Biology (2)
- Business (2)
- Civil and Environmental Engineering (2)
- Computational Chemistry (2)
- Environmental Engineering (2)
- Genetics (2)
- Genetics and Genomics (2)
- Keyword
-
- Machine learning (8)
- Machine Learning (5)
- Deep learning (4)
- Artificial Intelligence (3)
- Atlantic salmon (3)
-
- Blockchain (3)
- Agent-Based Modeling (2)
- Arctic nesting seabird (2)
- COVID-19 (2)
- Chinook salmon (2)
- Classification (2)
- Common Eider (2)
- Environmental enrichment (2)
- Enzyme cysteine desulfurase (2)
- Federated learning (2)
- Fisheries restoration (2)
- GloVe (2)
- Great Lakes (2)
- Heart rate response (2)
- Helium (2)
- Integer linear programming (2)
- Maleamate amidohydrolase (2)
- Misbehavior detection (2)
- Multi-Agent Systems (2)
- Multi-task learning (2)
- Neural network (2)
- Pandemic (2)
- Peptides (2)
- Polar Bear (2)
- Predation risk (2)
Articles 1 - 30 of 159
Full-Text Articles in Physical Sciences and Mathematics
Quantifying The Relative Importance Of Boat Wakes In Fetch-Limited Environments, Abigail Maria Carswell
Quantifying The Relative Importance Of Boat Wakes In Fetch-Limited Environments, Abigail Maria Carswell
Electronic Theses and Dissertations
Wind waves and wave-generated currents are known to contribute to shoreline change, but there is increasing evidence that vessel-generated waves (i.e., boat wakes) may be responsible for erosion of shorelines in fetch-limited environments. Depending on vessel type and speed of operation, boat wakes have also been shown to be capable of resuspending sediment, degrading habitat, and water quality, and causing damage to shoreline infrastructure. The number of cottages and recreational boats on inland lakes has been steadily increasing in recent decades in Ontario, Canada, which has resulted in a growing perception that boat wakes are detrimental to the environment, infrastructure, …
An Soa-Based Approach Of Adaptive E-Tutoring Systems, Parth Hetalkumar Mistry
An Soa-Based Approach Of Adaptive E-Tutoring Systems, Parth Hetalkumar Mistry
Electronic Theses and Dissertations
The educational technology landscape continually evolves, and e-tutoring systems are pivotal in modern pedagogy. Traditional e-tutoring methods often need help with adaptability and user-friendliness across various devices and platforms. To address these challenges, this research introduces a novel approach that leverages service-oriented architecture (SOA) principles, enhancing scalability and flexibility. The SOA configuration streamlines communication between system components, optimizing question delivery and response evaluation. Additionally, the research contributes adaptive interfaces that intelligently engage users based on their device configurations and preferences, offering facial, vocal, or textual interactions. These interfaces ensure a consistent and tailored learning experience across PCs, laptops, and mobile …
City Guarding With Cameras Of Bounded Field Of View, Mohammad Hashemi
City Guarding With Cameras Of Bounded Field Of View, Mohammad Hashemi
Electronic Theses and Dissertations
We study two problems related to the City Guarding and the Art Gallery problems. 1. Given a city with k rectangular buildings, we prove that 3k+1 cameras of 180◦ field of view (half-sphere guards) are always sufficient to guard the free space (the ground, walls, roofs, and the sky). This answers a conjecture of Daescu and Malik (CCCG, 2020). 2. Given k orthogonally convex polygons of total m vertices in the plane, we prove that (m/2)+k+1 cameras of 180◦ field of view are always sufficient to guard the free space (avoiding all the polygons). This answers another conjecture of Daescu …
Automatic Construction Of Ontology With Public-Domain Datasets For Personalized Tutoring With Eca, Asim Jamal
Automatic Construction Of Ontology With Public-Domain Datasets For Personalized Tutoring With Eca, Asim Jamal
Electronic Theses and Dissertations
E-tutoring systems have transformed remote learning and personalized education, offering potent tools for tailored instruction. The core of a personalized tutor lies in its robust ontology and knowledge base, working seamlessly to deliver captivating educational experiences. These two integral components collaborate to empower the tutor to discern learners’ needs, adapt content accordingly, and provide tailored guidance. This study introduces an automated approach for constructing an ontology utilizing publicly accessible datasets, aiming to enhance personalized tutoring through Embodied Conversational Agents (ECA). The objective is to improve the tutoring encounter by delivering bespoke, domain-specific knowledge to learners. The approach harnesses natural language …
Non-Hermitian Physics Achieved Via Non-Local Gilbert Damping, Trevor Joshua Macintosh
Non-Hermitian Physics Achieved Via Non-Local Gilbert Damping, Trevor Joshua Macintosh
Electronic Theses and Dissertations
In this thesis, we study a simple model for a ferromagnet starting with Heisenberg exchange interaction including the effects of dissipation. Gilbert damping is consid- ered and generalized from an on-site term to include non-local damping interactions between neighbouring spins. The strength of the damping interaction between neigh- bours can be tuned individually to provide the freedom to change the parameters of the system and explore the range of possible non-Hermitian behaviours. We consider the example of a honeycomb lattice ferromagnet featuring Dirac cones and two sub- lattices and analyse the resulting spectra and eigenstates. Under periodic boundary conditions, we …
Xlnet4rec: Modeling User’S Long-Term And Short-Term Interests In E-Commerce Recommender Systems, Namarta Vij
Xlnet4rec: Modeling User’S Long-Term And Short-Term Interests In E-Commerce Recommender Systems, Namarta Vij
Electronic Theses and Dissertations
In e-commerce, a sequential recommender system is often used to predict the item that the user is likely to select next. This prediction can be used to create a recommender system to assist the user in making selections. However, when the user’s interests evolve over time, it becomes challenging to make such personalized recommendations. A more accurate recommender system thus needs to effectively interpret and adapt to a user’s changing interests by considering user’s long-term and short-term interests. Many attention-based methods focus on a user’s last clicked item to learn short-term interests. However, this approach may not consistently represent the …
Construction Of Quot-Schemes, Majid Dehghani
Construction Of Quot-Schemes, Majid Dehghani
Electronic Theses and Dissertations
The Quot Scheme is a construction representing parameter spaces for quotient objects of sheaves or coherent modules over a scheme. It encapsulates families of quotients by fixing a certain quotient's structure. The Hilbert Scheme, a specific type of Quot Scheme, focuses on parameterizing subschemes of a fixed projective space by fixing their Hilbert polynomials. After recalling the basic concepts of the theory, we explain the Grothendieck’s Quot scheme construction and its Grassmannian embedding. Then we continue to an explicit construction of Quot scheme in the case of graded modules over graded rings.
Knowledge Informed Fake News Detection Using Large Language Models, Jess Joseph Joseph Benny
Knowledge Informed Fake News Detection Using Large Language Models, Jess Joseph Joseph Benny
Electronic Theses and Dissertations
The spread of false or misleading information as news has been a significant threat to governments, organizations and the economy for a long time. However, it has become more prevalent and influential in recent years due to the growing popularity of social media, which is now the primary source of information for more than half of the world’s population. Detecting fake news used to rely mostly on statistical and linguistic analysis of texts, but with the advancement of AI and computer-assisted writing tools, fake news authors can now deceive statistical models. Therefore, more sophisticated methods that use document representations from …
Dynamic Metal-Ligand Interactions In Semiconducting Π-Conjugated Materials, Peter Blake Joseph St Onge
Dynamic Metal-Ligand Interactions In Semiconducting Π-Conjugated Materials, Peter Blake Joseph St Onge
Electronic Theses and Dissertations
Over the years, the development of materials has seen a vast amount of expansion into a variety of disciplines which have demonstrated usefulness in a large span of applications. One of these new and developing themes is the use of metals and ligands which are incorporated into polymers to modify their properties, which can enable different desired properties. Incorporation of metal-ligand complexes in materials chemistry has proven to be an area of rising interest, however, many of these interactions and systems remained completely unexplored. Understanding the key fundamental principles of how these materials can be changed and modified through metal-ligand …
On A Class Of James-Stein’S Estimators In High-Dimensional Data, Arash Aghaei Foroushani
On A Class Of James-Stein’S Estimators In High-Dimensional Data, Arash Aghaei Foroushani
Electronic Theses and Dissertations
In this thesis, we consider the estimation problem of the mean matrix of a multivariate normal distribution in high-dimensional data. Building upon the groundwork laid by Chételat and Wells (2012), we extend their method to the cases where the parameter is the mean matrix of a matrix normal distribution. In particular, we propose a novel class of James-Stein’s estimators for the mean matrix of a multivariate normal distribution with an unknown row covariance matrix and independent columns. Given a realistic assumption, we establish that our proposed estimator outperforms the classical maximum likelihood estimator (MLE) in the context of high-dimensional data. …
Adaptive Model Selection In Stock Market Prediction: A Modular And Scalable Big Data Analytics Approach, Mohammadehsan Akhavanpour
Adaptive Model Selection In Stock Market Prediction: A Modular And Scalable Big Data Analytics Approach, Mohammadehsan Akhavanpour
Electronic Theses and Dissertations
In today's globalized economy, financial markets are more interconnected than ever, generating vast amounts of data from thousands of sources every second. The need to accurately analyze and interpret this data is crucial for investors, analysts, and researchers alike. Traditional models for market prediction are limited by their ability to adapt to the real-time nature and 'big data' dimensions of these complex financial datasets. To address these challenges, this thesis proposes and implements a novel framework that combines Apache Kafka with a microservices framework. This framework offers a scalable, real-time solution for financial market prediction that effectively manages the 5Vs …
Quantifying Survival And Behaviour Of Hatchery-Reared Juvenile Bloater Stocked Across Bathymetric Depths In Lake Ontario, Lydia L. Paulic
Quantifying Survival And Behaviour Of Hatchery-Reared Juvenile Bloater Stocked Across Bathymetric Depths In Lake Ontario, Lydia L. Paulic
Electronic Theses and Dissertations
Over 20 million native and non-native fishes are stocked into the Great Lakes annually as part of restoration initiatives and to support commercial and recreational fisheries. Bloater (Coregonus hoyi), a deep-water planktivore that was extirpated from Lake Ontario in the 1980s, has been consistently stocked in the lake since 2012 by Canadian and American natural resource agencies with the goal of producing a self-sustaining population. Previous research has highlighted challenges with stocking such as poor survival, attributed to high predation, potential maladaptive behaviour and barotrauma resulting from introducing a hatchery-reared species into a foreign environment. To address these survival challenges, …
Stimulated Raman Spectroscopy With Widely Tunable Probe Pulse For Measuring Dissolved Inorganic Phosphorus In The Great Lakes, Nathan Gregory Drouillard
Stimulated Raman Spectroscopy With Widely Tunable Probe Pulse For Measuring Dissolved Inorganic Phosphorus In The Great Lakes, Nathan Gregory Drouillard
Electronic Theses and Dissertations
The eutrophication of freshwater ecosystems remains a persistent global problem threatening biodiversity, drinking water, and economic interests. Among the Laurentian Great Lakes, Lake Erie is most severely impacted by eutrophication, experiencing annual harmful algal blooms that are thought to result from excess phosphate deposition into the ecosystem. Efforts to study and mitigate the effects of eutrophication require accurate monitoring of phosphate concentrations. The current method for measuring phosphate, the molybdenum blue method, suffers from signal interference. In this thesis, I recommend Raman spectroscopy as a label-free, reagent-free spectroscopic technique for accurately measuring phosphate in freshwater. I verify the Raman spectrum …
Medicinal Mushrooms: The Extraction And Analysis Of Bioactive Compounds From Hericium Erinaceus And Ganoderma Lucidum Mushrooms., Jhanielle Amanda-Kaye James
Medicinal Mushrooms: The Extraction And Analysis Of Bioactive Compounds From Hericium Erinaceus And Ganoderma Lucidum Mushrooms., Jhanielle Amanda-Kaye James
Electronic Theses and Dissertations
Medicinal mushrooms, such as Hericium erinaceus (lion's mane) and Ganoderma lucidum (reishi), have a rich history of traditional use in natural remedies, garnering attention for their bioactive compounds and nutritional benefits. Renowned for being protein-rich and low in fat, these fungi exhibit antimicrobial, anti-tumor, antioxidant, anti-diabetic, and anti-hypercholesterolemic properties attributed to their diverse bioactive components, including polysaccharides, proteins, terpenes, sterols, vitamins, polyphenols, and fatty acids. This study aimed to optimize extraction techniques, comparing maceration, ultrasound-assisted maceration, and Soxhlet extraction on fresh and dried lion's mane and reishi mushrooms. Varying solvent polarities and extraction times revealed that 8-hour extractions with dried …
Boat Wake Attenuation Through Artificial Vegetation - A Case Study From Peche Island, Jamie Kathryn Lilly
Boat Wake Attenuation Through Artificial Vegetation - A Case Study From Peche Island, Jamie Kathryn Lilly
Electronic Theses and Dissertations
The use of nature-based solutions and engineering ideas has sparked interest in the value of vegetated shorelines for protecting against erosion. However, there is a lack of field data, and more research is needed to understand how effective vegetation is in reducing the impact of wind waves and boat wakes. The difference in period between wind waves and boat wakes suggests that they may be attenuated differently, requiring further study to determine the optimal management design. The purpose of this study is to quantify the ability of artificial vegetation to attenuate boat wakes and calculate the drag coefficient for model …
Influence Of Landscape And Nutrients On Stable Isotope Dynamics And Food Webs In A River Prior To Re-Establishing Fish Migration, Selina Al-Nazzal
Influence Of Landscape And Nutrients On Stable Isotope Dynamics And Food Webs In A River Prior To Re-Establishing Fish Migration, Selina Al-Nazzal
Electronic Theses and Dissertations
Great Lakes tributaries are undergoing major ecosystem restoration through dam removal aimed at improving habitat connectivity. Re-establishing connectivity can have consequences for both desirable and undesirable species, especially in watersheds that risk the invasion of non-native species. To predict and evaluate the effects of reconnecting native fish habitats, I used stable isotopes of carbon (δ13C), nitrogen (δ15N), and sulphur (δ34S), spatial stream network (SSN) models and trophic niche measurements to examine the influence of land cover and nutrient concentration on the trophic ecology and distribution of stable isotopes of biofilm, macroinvertebrates, and fishes in the Boardman/Ottaway River (BOR), a tributary …
Advanced Deep Learning Multivariate Multi-Time Series Framework For A Novel Covid-19 Dataset, Swastik Bagga
Advanced Deep Learning Multivariate Multi-Time Series Framework For A Novel Covid-19 Dataset, Swastik Bagga
Electronic Theses and Dissertations
This thesis introduces an innovative framework aimed at addressing the complexities of predicting outcomes in multivariate multi time series datasets in regression analysis. By applying this framework to a novel COVID-19 dataset, it enhances predictive analytics by providing accurate forecasts for epidemic trends at regional or provincial levels, going beyond national-level analysis. The framework incorporates advanced data preprocessing, feature selection, engineering, encoding, and model architecture, effectively capturing intricate variable interactions and temporal dependencies. This makes it a powerful tool for tackling multivariate multi time series regression challenges, offering valuable insights for informed decision-making. Predicting outcomes in such datasets is challenging …
Mitigating The Shortcomings Of Language Models: Strategies For Handling Memorization & Adversarial Attacks, Aly Kassem
Mitigating The Shortcomings Of Language Models: Strategies For Handling Memorization & Adversarial Attacks, Aly Kassem
Electronic Theses and Dissertations
Deep learning models have recently achieved remarkable progress in Natural Language Processing (NLP), specifically in classification, question-answering, and machine translation. However, NLP models face challenges related to security and privacy. Security-wise, even small perturbations in the input can significantly impact a model's prediction. This highlights the importance of generating natural adversarial attacks to analyze the weaknesses of NLP models and bolster their robustness through adversarial training (AT). Conversely, Large Language Models (LLMs) are trained on vast amounts of data, which may include sensitive information. If exposed, this poses a risk to personal privacy. LLMs can memorize portions of their training …
Root System Response Of Soybean To Microplastics Of Varying Types And Concentrations, Deqa Farow
Root System Response Of Soybean To Microplastics Of Varying Types And Concentrations, Deqa Farow
Electronic Theses and Dissertations
Biosolid fertilizer use causes the input of microplastics into the rhizosphere where they may interfere with root interactions with the soil and microbial community and thereby hinder plant acquisition of nutrients and water. However, it is unclear what microplastic concentration or types affect plant root system and when these impacts manifest. Using the rhizobox method, soybeans were grown in soil was dosed with microplastic mimics (PET sheets and PP beads at 2,000 and 15,000 particles / kg dry soil) and biosolids. A time-series analysis was conducted on plant root traits using non-destructive imaging with an Epson 12000xl scanner of the …
Exploring Paper As A Substrate For Printed Electronics, Lauren Jessica Renaud
Exploring Paper As A Substrate For Printed Electronics, Lauren Jessica Renaud
Electronic Theses and Dissertations
With the Internet of Things (IoT) rapid expansion the use of printed electronics that can be easily integrated into everyday life is gaining traction. These devices often use plastics as a substrate due to their flexibility; however, they are not biodegradable and contribute to our growing electronic waste (e-waste) problem. A greener alternative that is sought after is paper. Paper is biodegradable, flexible, and already familiar to many printing processes. Though paper appears smooth its surface is rough due to being composed of cellulose fibers which create pores. In the printed electronics (PE) industry, these pores are typically seen as …
Geo-Location Informed Team Formation Using Gnn, Karan Saxena
Geo-Location Informed Team Formation Using Gnn, Karan Saxena
Electronic Theses and Dissertations
Establishing a competent team is crucial to the success of a project and is influenced by skill distribution and geographic proximity. A team not only benefits from the shared knowledge amongst the team members derived from geographic closeness but also affects the outcome of the project the team is assigned to perform. A team benefits by sharing resources among each member, collaborating efficiently on a given task, brainstorming on an idea more effectively and saving time and money for both the team members and the organization. This thesis uses a neural-based multi-label classifier after a spatial team formation that uses …
The Effects Of Biosolid Microplastics On The Microbial Community And Root Functioning In The Rhizosphere Of Soybean Crops In Agricultural Soil, Rebecca Chloe Lebel
The Effects Of Biosolid Microplastics On The Microbial Community And Root Functioning In The Rhizosphere Of Soybean Crops In Agricultural Soil, Rebecca Chloe Lebel
Electronic Theses and Dissertations
Biosolids are semi-solid by-products from wastewater treatment plants where contaminants such as microplastics can accumulate, and transfer into the root zone causing ecotoxic effects to the rhizosphere microbial community. Furthermore, microplastics can alter soil properties which have a strong control on the size and diversity of the rhizosphere microbial community and its ability to consume root-borne carbon compounds. Using the MicroRESP system the respiration of the rhizosphere microbial community of soybeans subjected to microplastic biosolid mimics of two types (PET sheets and PPT beads) and two concentrations (2,000 vs 15,000 particles/kg dry soil) was quantified. Baseline respiration rates from extracted …
The Influence Of Spatiotemporal Variation In Food Web Models, Cecilia E. Heuvel
The Influence Of Spatiotemporal Variation In Food Web Models, Cecilia E. Heuvel
Electronic Theses and Dissertations
Aquatic ecosystems are constantly adapting to fluxes in season, temperature, nutrient cycling, and prey availability. Consequently, aquatic food webs are dynamic, and relationships between species are perpetually changing as organisms and primary producer communities adapt to current environmental conditions both in time and space. Despite this knowledge however, many food web studies continue to use temporally static and spatially homogenous representations of food webs. This thesis proposes that a detailed investigation of temporal and spatial trends in a large lake ecosystem can improve our understanding of the mechanisms and drivers of spatial and temporal variation in food web structure and …
Inference In Generalized Mean Reverting Processes, Yunhong Lyu
Inference In Generalized Mean Reverting Processes, Yunhong Lyu
Electronic Theses and Dissertations
This dissertation proposes three types of processes that are suitable for modeling positive datasets with periodic behavior and mean-reverting level phenomenon. A class of generalized exponential Ornstein–Uhlenbeck process (GEOU) is consid- ered in Chapter 2. This chapter’s key characteristics include the following: first, the classical exponential Ornstein–Uhlenbeck process is generalized to the case where the drift coefficient is driven by a period function of time; second, as opposed to the results in recent literature, the dimension of the drift parameter is considered unknown. This chapter serves to weaken some assumptions, in recent literature, underlying the asymp- totic optimality of some …
Matches Made In Heaven Or Somewhere: Personalized Query Refinement Gold Standard Generation Using Transformers, Yogeswar Lakshmi Narayanan
Matches Made In Heaven Or Somewhere: Personalized Query Refinement Gold Standard Generation Using Transformers, Yogeswar Lakshmi Narayanan
Electronic Theses and Dissertations
The foremost means of information retrieval, search engines, have difficulty searching into knowledge repositories, e.g., the web, because they are not tailored to the users' differing information needs. User queries are, more often than not, under-specified or contain ambiguous terms that also retrieve irrelevant documents. Query refinement is the process of transforming users' queries into new refined versions without semantic drift to enhance the relevance of search results. Prior query refiners have been benchmarked on ad-hoc web retrieval datasets following weak assumptions that users' input queries improve gradually within a search session. Existing methods also have employed additional metadata, such …
Many-To-One: Transformer-Based Unsupervised Anomaly Detection And Localization On Industrial Images, Naga Jyothirmayee Dodda
Many-To-One: Transformer-Based Unsupervised Anomaly Detection And Localization On Industrial Images, Naga Jyothirmayee Dodda
Electronic Theses and Dissertations
Anomaly detection is of utmost importance in the realm of industrial defect identification, particularly when employing computer vision-based inspection mechanisms within quality control systems. This research introduces the Many-to-One (M2O) framework, which relies on a multi-level transformer encoder combined with a single transformer decoder, which forms many-to-one relation in the framework for detecting and localizing anomalies. The rise of Industry 4.0 and electric vehicles has increased interest in this area. Although previous research has made significant contributions, challenges still exist in this area. It is crucial to develop models that can generalize well and overcome time complexity problems that affect …
Influence Of Lake Volume On Trophic Position, Carbon Use, And Resource Partitioning In Fish Across A Narrow Range Of Ecosystem Size, Alyssa Andersen
Influence Of Lake Volume On Trophic Position, Carbon Use, And Resource Partitioning In Fish Across A Narrow Range Of Ecosystem Size, Alyssa Andersen
Electronic Theses and Dissertations
Lake size is an important factor governing seasonal variation in limnological phenomena, origin of nutrient sources, species interactions, cross-habitat linkages, and trophic pathways, all having complex influences on food web structure and function. Lake size effects are most clearly demonstrated across very wide gradients in surface area or volume. This approach incorporates several complicating and collinear elements such as changing fish assemblages and species richness, and therefore, incorporates additional but unaccounted shifts in food web structure and function. A comparison across a finer lake size gradient where fish assemblages and species richness change little or not at all is needed …
Anomaly Detection In Large Datasets: A Case Study In Loan Defaults, Rayhaan Pirani
Anomaly Detection In Large Datasets: A Case Study In Loan Defaults, Rayhaan Pirani
Electronic Theses and Dissertations
Given the rise in loan defaults, especially after the COVID-19 pandemic, it is necessary to predict if customers might default on a loan for risk management. This thesis proposes an early warning system architecture using anomaly detection based on the unbalanced nature of loan default data in the real world. Most customers do not default on their loans; only a tiny percentage do, resulting in an unbalanced dataset. We aim to evaluate potential anomaly detection methods for their suitability in handling unbalanced datasets. We conduct a comparative study on different anomaly detection approaches on four balanced and unbalanced datasets. We …
Electromagnetically Induced Transparency In An Ensemble Of Three-Level Lambda Systems, Sara Moezzi
Electromagnetically Induced Transparency In An Ensemble Of Three-Level Lambda Systems, Sara Moezzi
Electronic Theses and Dissertations
Electromagnetically induced transparency (EIT) is a technique whereby a medium otherwise opaque to radiation of a particular frequency can be made transparent at that frequency by applying radiation of an appropriate second frequency. EIT demonstrates numerous current applications, with a notable focus on its utilization within the field of quantum information. Given the absence of an established theory of EIT in atomic ensembles, my primary focus is to develop theoretical models that describe both the quantum mechanical origin of EIT as well as the effect of interatomic interactions. In this thesis, I present two theoretical models of EIT in an …
An End-To-End Hybrid Approach To Automatic And Semi-Automatic Image Annotation, Roisul Islam Rumi
An End-To-End Hybrid Approach To Automatic And Semi-Automatic Image Annotation, Roisul Islam Rumi
Electronic Theses and Dissertations
This thesis presents a new end-to-end hybrid machine learning (ML) and deep learning (DL) approach for semi-automatic image annotation (SAIA) and automatic image annotation (AIA) in industrial assembly line setups. Image annotation refers to adding descriptive labels or tags to an image to provide information about the objects and features present in the image. On a high level, the proposed system uses the following steps to annotate images. The first step involves using an ML algorithm, Haar cascade, to split an image into smaller regions of interest (ROI) based on the object of interest, in our case, the connectors of …