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Articles 8521 - 8550 of 197986
Full-Text Articles in Engineering
64th Annual Rocky Mountain Conference On Magnetic Resonance
64th Annual Rocky Mountain Conference On Magnetic Resonance
Rocky Mountain Conference on Magnetic Resonance
Final program, abstracts, and information about the 64th annual meeting of the Rocky Mountain Conference on Magnetic Resonance. Held in the Snowbird Resort and Conference Center, Snowbird, Utah, August 3-7, 2025.
Tracing Tremor: From Upper-Limb Neuromusculoskeletal Dynamics To Movement Signatures In Essential Tremor, Landon J. Beutler
Tracing Tremor: From Upper-Limb Neuromusculoskeletal Dynamics To Movement Signatures In Essential Tremor, Landon J. Beutler
Theses and Dissertations
Tremor is a common neurological condition that significantly impairs the quality of life for millions. Despite this prevalence, the underlying mechanisms of its propagation remain poorly understood, and current treatment options often rely on trial-and-error methods. Moreover, the most common type, Essential Tremor (ET), presents a unique challenge due to its heterogeneity--patients exhibit a wide range of symptoms, severities, and responses to treatment. This thesis primarily advances tremor understanding through computational modeling, with a secondary focus on data-driven subtyping of ET via cluster analysis. These parallel paths aim to improve both mechanistic insight and clinical classification. Tremor propagation refers to …
Design Of A Fan-Based Test Stand For Evaluating Multicopter Handling In Turbulent Flow, Salim Roig
Design Of A Fan-Based Test Stand For Evaluating Multicopter Handling In Turbulent Flow, Salim Roig
Doctoral Dissertations and Master's Theses
With the innovation of eVTOL rotorcraft the need to analyze how turbulence-induced disturbances from orthogonal flow affect various rotorcraft configurations outside of simulations have grown significantly. To investigate the behavior of this type of flow and how it interacts with various rotorcraft configurations, a turbulent inducing test stand was designed and constructed. The test stand will have two walls of computer fans arranged in an L-shape frame, creating wind gusts that simulate the non-linear turbulent wind experienced by eVTOL. This also aids the Eagle Flight Research Center (EFRC) in their efforts to better understand how disturbances affect the handling qualities …
Development Of Low-Cost Small-Batch Flibe Filtration, And A Comparison Of Uranium Tetrafluoride And Ionic Oxygen Oxidation In Flibe, Jacob D. Christensen
Development Of Low-Cost Small-Batch Flibe Filtration, And A Comparison Of Uranium Tetrafluoride And Ionic Oxygen Oxidation In Flibe, Jacob D. Christensen
Theses and Dissertations
Low-cost benchtop-scale molten fluoride salt cleaning was investigated in FLiBe (LiF-BeF2), focusing on electrochemical cleaning and filtration. FLiBe filtration was demonstrated using both pressurized and open filtration systems. Copper and 400 Monel meshes were effective and reusable. Wetting appears to be the primary obstacle to FLiBe filtration. Oxygen oxidation behavior in FLiBe was examined using cyclic voltammetry (CV) and cyclic square wave voltammetry (CSWV) techniques. Standard addition height measurement was used to determine electrode surface area. Results support a single-step 2-electron process, matching observations in literature. Pt electrodes may be prone to oxidative side reactions, although more investigation is required. …
Genetic Algorithm Optimization To Maximize Sensitivity Of Triboelectric Mems Accelerometers, Yu Tian, Benyamin Davaji, Shahrzad Towfighian
Genetic Algorithm Optimization To Maximize Sensitivity Of Triboelectric Mems Accelerometers, Yu Tian, Benyamin Davaji, Shahrzad Towfighian
Mechanical Engineering Faculty Scholarship
A genetic algorithm is used to optimize the sensitivity of a triboelectric MEMS accelerometer fabricated using CMOS-compatible processes. The optimization focuses on the structural parameters of an awl-shaped serpentine microspring (ASSM) connected to the proof mass. Constraints are defined by microfabrication standards and the available chip area. Three different constraint problems are considered, and the algo- rithm yields designs with maximized sensitivity in each case. Simulations under various sinusoidal vibration scenarios show that the optimized designs significantly outperform the previous version, achieving a 2.72× improvement at 1000 Hz and up to 20× at 500 Hz.
Calibration And Validation Of The Thermal Finite Element Model For Er120s-G Wire Arc Directed Energy Deposition Using Infrared Cameras And Thermocouples, Joshua Mykl Bassett
Calibration And Validation Of The Thermal Finite Element Model For Er120s-G Wire Arc Directed Energy Deposition Using Infrared Cameras And Thermocouples, Joshua Mykl Bassett
Theses and Dissertations
Wire Arc Directed Energy Deposition (WA-DED) is a promising additive manufacturing method for producing large metallic components with high deposition rates and low costs. However, its rapid heat input can lead to residual stress, microstructural changes, and dimensional inaccuracies. Accurate thermal modeling is essential to mitigate these effects. This study presents a thermal calibration of a finite element model (FEM) for ER120S-G using thermocouples and infrared (IR) imaging. Thermal data were gathered from three experiments to complete the calibration of the FEM . Calibration focused on tuning the Goldak heat source parameters, power efficiency, and heat transfer coefficients to minimize …
Towards Applying Artificial Intelligence To Solve Np-Complete Problems Using Quantum Computing, Andrew Robert Haverly
Towards Applying Artificial Intelligence To Solve Np-Complete Problems Using Quantum Computing, Andrew Robert Haverly
Theses and Dissertations
This dissertation explores the methodology for more thoroughly entangling artificial intelligence and quantum computing. This is explored through a background search of problems solved using Grover’s quantum algorithm, a new quantum protein folding and drug discovery algorithm, using Grover’s algorithm to train quantum artificial neural networks, using quantum artificial neural networks for reinforcement learning, mapping classical assembly instructions to quantum circuits to make quantum programming easier, and using prompt engineering to get a classical artificial intelligence agent to solve an NP-Complete problem using a Grover’s algorithm. This method not only simplifies the creation of algorithms but also opens new avenues …
Spray Characterization And Fuel Property Analysis Of Tier 3 Gasoline In A Gdi System Using Machine Learning, Kyungwon Lee
Spray Characterization And Fuel Property Analysis Of Tier 3 Gasoline In A Gdi System Using Machine Learning, Kyungwon Lee
Theses and Dissertations
This study investigates the spray behavior of Tier 3 gasoline in gasoline direct injection engines using experimental methods. Tier 3 gasoline, formulated with lower sulfur content, enhances aftertreatment system efficiency and supports cleaner combustion. A comparative fuel property analysis between Tier 3 gasoline and PACE-20, surrogate fuel, was conducted to understand compositional effects on spray. A constant volume spray chamber and optical diagnostics, including diffuse back-illumination extinction, Schlieren, microscopic, and 3D CT reconstruction imaging, were used to examine spray morphology under varying injection conditions. Key spray parameters such as liquid volume fraction, projected liquid volume, droplet size, and cone angle …
Neural Architecture Search-Driven Unsupervised Domain Adaptation For Enhanced Wood Chip Quality Evaluation In Forest Industries, Abdur Rahman
Theses and Dissertations
Reliable and efficient measurement of wood chip moisture content is crucial for forest-reliant industries, including biofuel production, pulp and paper manufacturing, and bio-refineries, as it directly influences product quality and energy output. Traditional methods like the oven-drying technique, despite their widespread use, are time-consuming and impractical for real-time applications, while modern alternatives such as NIR spectroscopy, electrical capacitance, and microwave analysis are often costly, less portable, and require specialized expertise. This dissertation addresses these limitations by leveraging deep learning and machine vision to develop a scalable, accurate, and portable method for moisture content measurement using RGB images of wood chips. …
Thermo-Mechanical Advancements For Very High Strength And Ultra High Performance Concretes, Lana Grayson Brown Sisung
Thermo-Mechanical Advancements For Very High Strength And Ultra High Performance Concretes, Lana Grayson Brown Sisung
Theses and Dissertations
Interest in the use of high-strength concrete (HSC) has increased in recent years with demand for improved concrete performance. HSCs are widely associated with high heat of hydration and elusive behavior when exposed to high temperatures commonly occurring in mass structures. The optimization of HSC mixture proportioning is difficult due to a wide variety of constituents that influence thermal and mechanical properties. Additionally, determining in-place properties of mass concrete placements is elusive, and there are currently minimal to no test methods available that are both predictive and a direct measurement of mechanical properties. The objective of this dissertation is to …
Non-Thermal Dbd Plasma-Induced Co₂ Capture And Conversion To Value Added Chemicals, Chinwendu Theresa Umeojiakor
Non-Thermal Dbd Plasma-Induced Co₂ Capture And Conversion To Value Added Chemicals, Chinwendu Theresa Umeojiakor
Theses and Dissertations
Electrified CO2 conversion via nonthermal dielectric-barrier discharge (DBD) plasma presents a promising pathway for integrating renewable energy into the carbon cycle, addressing the dual challenges of CO2 reduction and sustainable fuel generation. In this research, DBD plasma technology was integrated with a sorbent material and/or catalytic materials for CO2 desorption and conversion. Specifically, with Ni/Al2O3 as the catalyst, we investigated CO2 splitting (CO2 to CO and 0.5O2) and hydrogenation (CO2 and H2 to CO and H2O) under adiabatic and subcooled conditions. We find that CO2 splitting shows higher efficiency than hydrogenation, particularly at relatively lower power inputs. While CO2 hydrogenation …
The Effect Of Wall Temperature And Transpiration On Görtler Vortices In High-Speed Boundary Layers, Asmaa Ahaggach
The Effect Of Wall Temperature And Transpiration On Görtler Vortices In High-Speed Boundary Layers, Asmaa Ahaggach
Theses and Dissertations
Görtler vortices are counterrotating flow structures generated as a result of the imbalance between the wall radial pressure gradients and the centrifugal forces in a boundary layer developing on a curved surface. Their presence leads to secondary instabilities and increases the wall shear stress as they accelerate the transition from laminar to turbulent flow. These secondary instabilities can be mitigated using control techniques aimed at decreasing the energy and the wall shear stress. In this thesis, the combined effect of wall temperature and transpiration on Görtler vortices developing in supersonic and hypersonic boundary layers is investigated. Görtler vortices are excited …
Optical Trapping For The Study Of The Chemical And Physical Dynamics Of Single Particles, Yukai Ai
Optical Trapping For The Study Of The Chemical And Physical Dynamics Of Single Particles, Yukai Ai
Theses and Dissertations
This dissertation explores the combined technique of optical trapping and Raman spectroscopy (OT-RS) to study the physical and chemical properties, as well as the dynamic surface changes, of single aerosol particles in air. The study covers a wide range of aerosol types, including bioaerosols (such as pollen, bacteria, and fungi), dust particles (such as black carbon, terrestrial, and extraterrestrial materials), and liquid droplets (such as sea-spray aerosols). The optical trapping system used in this work is based on the universal optical trap (UOT), which is capable of trapping and manipulating a wide variety of particle types. These include both transparent …
Transforming Movement Assessment In Physical Therapy Through Subaquatic Data Collection, Kaitlyn Mcdonald
Transforming Movement Assessment In Physical Therapy Through Subaquatic Data Collection, Kaitlyn Mcdonald
Theses and Dissertations
This study explored the interest and perceived barriers to integrating subaquatic diagnostic technologies (SDTs) into hydrotherapy among licensed physical therapists. Seventeen semi-structured interviews were conducted using a mixed-methods design, with 15 interviews included in the final analysis. Quantitative data were analyzed using chi-square tests, while qualitative responses were coded thematically. Results indicated no statistically significant relationships between SDT interest and career stage or hydrotherapy access, though qualitative data highlighted concerns about cost, limited access, and usability. Despite mixed interest in adoption, participants identified several potential benefits of SDTs, including improved treatment tailoring, increased patient buy-in, and enhanced outcome monitoring. Functional …
Reactive Molecular Dynamics And Method Development For Applications In Renewable Energy And Sorption Equilibria, Woodrow Wilson
Reactive Molecular Dynamics And Method Development For Applications In Renewable Energy And Sorption Equilibria, Woodrow Wilson
Theses and Dissertations
It is crucial to harness energy from sustainable sources to combat the dwindling nonrenewable feedstocks used to produce everyday commodities and fuels. Liquid-phase heterogeneous catalysis has demonstrated remarkable product selectivity and yields for reactions relevant to biomass valorization under mild operating conditions. However, active site characterization is challenging due to the complex solvated environment and interface. Ground-state first-principles (FP) molecular simulations have provided insights into reactive systems in catalysis. These calculations, however, scale poorly with the number of electrons. Observing atomic motion with molecular dynamics (MD) or sampling static properties with Monte Carlo (MC) simulations at statistically relevant lengths- and …
Load Balancing For Stream Processing In Edge Computing, Faiza Akram
Load Balancing For Stream Processing In Edge Computing, Faiza Akram
Theses and Dissertations
Unlike cloud-based systems, where resources are centralized for data processing and located at a distance from the source, leading to an increase in the response time, edge computing emerges as a transformative paradigm that processes the data closer to the sources to meet the application’s service requirements. Since the resources in edge computing are distributed and limited, load balancing is crucial. To ensure the prevention of bottlenecks and failures in resource-constrained environments, load balancing is an important aspect of edge computing as it optimizes resource utilization while maintaining the requirements of low-latency applications, improved fault tolerance, energy efficiency, adaptability, scalability, …
Interatomic Potential Of Multiphase Materials Using Modified Embedded Atom Method (Meam) And Artificial Neural Network (Rann), Henan Zhou
Theses and Dissertations
There is a significant need for computer simulations to explore multiphase materials because of their significance in both industry and research. These simulations are both more efficient and less expensive than many experimental approaches, making them an ideal choice for this purpose. It is possible to use molecular dynamics simulations that make use of the MEAM and RANN interatomic potentials in order to comprehend and characterize the properties, performance, and behavior of materials at the atomic scale of different material phases. In the realms of elements, alloys, and impurities, MEAM can be utilized in a wide variety of applications. Through …
Effect Of Arm Movement On Lower Body Muscle Contributions To Standing Long Jump Performance, Abigail Douglas
Effect Of Arm Movement On Lower Body Muscle Contributions To Standing Long Jump Performance, Abigail Douglas
Masters Theses
Previous jumping studies have proven that jumping with arm motion enhances performance compared to jumping without arm motion. The purpose of this study was to investigate the effect of arm motion on the muscle contributions of the lower extremities during the standing long jump using muscle-actuated modeling informed by experimental data. Specifically investigating how arm motion enhances performance at the muscle level and how the muscle contributions of the lower extremities differ in jumps with and without arm motion. Three male and three female participants performed three jumps with arms and three jumps without arms. The longest jumps with and …
Transformations Of Uzbekistan Quartz Raw Materials – Quartzites Of The Dzherdanak Deposit And Vein Quartz Of The Nurota Deposit Under Thermal Impact, Umar G. Nomazov, Mastura Kh. Aripova
Transformations Of Uzbekistan Quartz Raw Materials – Quartzites Of The Dzherdanak Deposit And Vein Quartz Of The Nurota Deposit Under Thermal Impact, Umar G. Nomazov, Mastura Kh. Aripova
CHEMISTRY AND CHEMICAL ENGINEERING
The aim of the work is to study the transformations of quartz raw materials as a result of high-temperature exposure. The objects of the study were quartzite from the Dzherdanak deposit in the Surkhandarya region and vein quartz from the Nurota deposit in the Samarkand region. The mineralogical composition of natural raw materials and phase and structural transformations during high-temperature exposure to 1430 ° C were studied using X-ray and differential thermal analysis. Based on the results of physicochemical analysis methods, it was found that vein quartz consists entirely of quartz and, therefore, it can be assumed that impurity elements …
Kinetics Of Adsorption Of Copper And Nickel Ions Using A Rice Husk-Based Sorbent, Aziza A. Maksudova, Shukhrat A. Mutalov, Klara M. Adilova
Kinetics Of Adsorption Of Copper And Nickel Ions Using A Rice Husk-Based Sorbent, Aziza A. Maksudova, Shukhrat A. Mutalov, Klara M. Adilova
CHEMISTRY AND CHEMICAL ENGINEERING
The aim of this study is to investigate the adsorption kinetics of Cu(II) and Ni(II) ions from aqueous solutions using an adsorbent obtained by treating rice husk with a solution of monoethanolamine. The experiments evaluated the influence of contact time on the efficiency of metal ion removal and calculated the adsorption capacity. To analyze the adsorption process kinetics, pseudo-first-order and pseudo-second-order kinetic models were applied. The results demonstrated that the adsorption process follows the pseudo-second-order kinetic model. Thus, monoethanolamine-modified rice husk can be considered an effective, environmentally friendly, and economically viable sorbent for the removal of heavy metal ions from …
Quantum-Chemical Study Of Complex Compounds Of Lanthanides With 2-Aminobenzimidazole Derivatives, Bakhtigul Yu. Ruzieva, Feruza F. Fayzullayeva, Zuhra Ch. Kadirova, Shahlo Sh. Daminova
Quantum-Chemical Study Of Complex Compounds Of Lanthanides With 2-Aminobenzimidazole Derivatives, Bakhtigul Yu. Ruzieva, Feruza F. Fayzullayeva, Zuhra Ch. Kadirova, Shahlo Sh. Daminova
CHEMISTRY AND CHEMICAL ENGINEERING
The aim of this study is to perform quantum-chemical modeling of mixed-ligand complexes of trivalent lanthanoid ions (Ln³⁺) involving primary ligands — 2-amino-1-methylbenzimidazole (MAB) and 2-phenylmethyl-1H-benzimidazole (FAB), as well as additional ligands — diethyldithiocarbamate (DEDTK), benzohydroxamic acid (BGK), and potassium diisopropyldithiophosphate (DiPDTP). Quantum-chemical calculations were carried out using semi-empirical methods within the PM3 and PM6 approaches, implemented in the BIOVIA Materials Studio (Accelrys Studio 2017) software package. The obtained data made it possible to determine the influence of the nature of the mixed ligands on the coordination behavior of lanthanoids and the stability of the corresponding complexes.
Synthesis And Ir Spectroscopic Study Of Complexes Of Selected 3d-Metals With 2-(Phenylmethyl)-1h-Benzimidazole, Gulnoza O. Babayeva, Gulbeka G. Mamatova, Daminbek A. Ziyatov, Lola Sh. Makhmudova, Shahlo Sh. Daminova
Synthesis And Ir Spectroscopic Study Of Complexes Of Selected 3d-Metals With 2-(Phenylmethyl)-1h-Benzimidazole, Gulnoza O. Babayeva, Gulbeka G. Mamatova, Daminbek A. Ziyatov, Lola Sh. Makhmudova, Shahlo Sh. Daminova
CHEMISTRY AND CHEMICAL ENGINEERING
The aim of this study was the synthesis and structural investigation of coordination compounds of selected 3d-metals with 2-(phenylmethyl)-1H-benzimidazole (FAB) using IR spectroscopy. Complexes of copper(II), nickel(II), cobalt(II), and zinc(II) with the general formula [M(FAB)2Cl2], as well as a complex [Co(FAB)2(ac)2], were synthesized. IR spectroscopic analysis revealed that FAB coordinates to metal ions through the nitrogen atom of the benzimidazole ring. Shifts in the ν(C=N), ν(C-N) bands and the appearance of new bands in the 580-430 cm⁻¹ region corresponding to ν(M-N) and ν(M-Cl) confirm the formation of metal complexes. It was established …
Technological And Mechanical Properties Of Polyethylene Filled With Nano-Sized Calcium Carbonate, Ilyos M. Makhmudov, Ravshan I. Adilov, Muzafar G. Alimukhamedov, Farangiz B. Izzatullayeva
Technological And Mechanical Properties Of Polyethylene Filled With Nano-Sized Calcium Carbonate, Ilyos M. Makhmudov, Ravshan I. Adilov, Muzafar G. Alimukhamedov, Farangiz B. Izzatullayeva
CHEMISTRY AND CHEMICAL ENGINEERING
Currently, one of the most effective and cost-effective ways to modify the properties of polyethylene is to introduce various fillers of organic or inorganic origin. The purpose of this work was to study the effect of the concentration of nanosized calcium carbonate on the technological and physicomechanical properties of polyethylenes of various origins. In the work, we used two grades of polyethylene: HDPE (273-83) and LDPE (10803-020) produced by Kazanorgsintez OJSC. The following were used as nanofillers: nanosized calcium carbonate in the form of a compound of the Nano-cal NC-K0117 brand made in China. The dependence of the physicomechanical properties …
Additional Loss On Ignition Of Cement Raw Mixes At High Temperatures, Geun-Seong Lee, Farrukh B. Erkinov, Mastura Kh. Aripova
Additional Loss On Ignition Of Cement Raw Mixes At High Temperatures, Geun-Seong Lee, Farrukh B. Erkinov, Mastura Kh. Aripova
CHEMISTRY AND CHEMICAL ENGINEERING
Loss on ignition (LOI) of cement, raw materials and raw mixes in cement industry is specified as the weight loss at 900~1000 oC and 15~30 minutes in the standards of each region (GOST, ISO, ASTM, JIS, KS) in the world, and the clinker yield produced from the raw mixes feeding to the kiln process is generally derived from the LOI. The kiln conditions are significantly different from those specified in the standards, because the material temperature is up to 1450 oC and the residence time is about 15 minutes above 1000 oC in the kiln burning process. …
Composition Of Porcelain Mass Based On Clay Shale From The Dzherdanak Deposit, Ripsime V. Mkrtchyan
Composition Of Porcelain Mass Based On Clay Shale From The Dzherdanak Deposit, Ripsime V. Mkrtchyan
CHEMISTRY AND CHEMICAL ENGINEERING
Known sources of high-quality raw materials are depleted. To meet the growing demand for porcelain products, natural raw materials from new deposits are being studied. The aim of the study is to develop a composition of porcelain mass for household porcelain based on unconventional raw materials - clay shales of the Dzherdanak deposit. Compositions of hard porcelain based on clay shales and other components of local natural raw materials with and without magnesium oxide have been developed. As a result of X-ray and electron microscopic studies of the porcelain structure, it was determined that the crystalline phases in the porcelain …
Emergence Of Norms In The Presence Of Social Network Structure In A Stochastic Evolutionary Game Theory Model, Parker Foresman
Emergence Of Norms In The Presence Of Social Network Structure In A Stochastic Evolutionary Game Theory Model, Parker Foresman
Dissertations and Theses
In their 2000 paper, The Emergence of Classes in a Multi-Agent Bargaining Model, Axtell, Epstein, and Young introduced an agent-based bargaining model to study how social norms can emerge and persist from the decentralized, asynchronous interactions of individual agents in the presence of noise, even when these agents have no predefined preferences or advantages. This thesis extends their model by incorporating structured interaction networks, allowing us to investigate how the topology of agent interactions influences long-run dynamics and norm formation. Using a custom simulation package built in the Julia programming language, we replicate the original results under a complete …
Seasonal Variation In Modulus Of Cement-Treated Base Layers And Untreated Base Layers In Utah, Mason Robert Kessler Millard
Seasonal Variation In Modulus Of Cement-Treated Base Layers And Untreated Base Layers In Utah, Mason Robert Kessler Millard
Theses and Dissertations
The objective of this research was to compare the stiffness of cement-treated base (CTB) layers and untreated base course (UTBC) layers in a cold region through a typical year. The scope of work included testing of three residential pavement segments comprising CTB layers and two comparable pavement segments comprising UTBC layers in northern Utah. Design thicknesses were verified through drilling and dynamic cone penetrometer testing in September 2024. Following 3 to 15 years of service, the sites were evaluated using portable falling-weight deflectometer (PFWD) testing in May 2024, July 2024, September 2024, November 2024, January 2025, and March 2025. After …
Kernel Principal Component Analysis And Convolutional Neural Network-Based Approach For Obstructive Sleep Apnoea Detection Using Electrocardiogram, Aida Noor Indrawati, Nuryani Nuryani, Wiharto Wiharto, Diah Kurnia Mirawati, Trio Pambudi Utomo, Nanang Wiyono
Kernel Principal Component Analysis And Convolutional Neural Network-Based Approach For Obstructive Sleep Apnoea Detection Using Electrocardiogram, Aida Noor Indrawati, Nuryani Nuryani, Wiharto Wiharto, Diah Kurnia Mirawati, Trio Pambudi Utomo, Nanang Wiyono
Iraqi Journal for Computer Science and Mathematics
Obstructive Sleep Apnoea (OSA) is a prevalent sleep disorder characterised by repeated episodes of partial or complete upper airway obstruction during sleep, primarily due to the relaxation and collapse of soft tissues in the throat. These interruptions lead to disrupted sleep patterns and reduced oxygen saturation, increasing the risk of cardiovascular complications. Although Polysomnography (PSG) is considered the gold standard for diagnosing OSA, it is often uncomfortable for patients due to the extensive use of sensors and prolonged monitoring duration. As a result, there is a growing need for alternative diagnostic methods that are more efficient, comfortable, and cost-effective. This …
Iraqi’S Car License Plate Recognition Based On Deep Learning, Mushreq Abdulhussain Shuriji, Husam Al-Behadili, Hadel A. Hussain
Iraqi’S Car License Plate Recognition Based On Deep Learning, Mushreq Abdulhussain Shuriji, Husam Al-Behadili, Hadel A. Hussain
Iraqi Journal for Computer Science and Mathematics
Vehicle license plate recognition is essential due to the rising number of operational cars, which leads to an increasing difficulty of this task even for humans. Systems for car license recognition normally consist of two branch systems, namely, license plate recognition and license plate detection. The aim of the detection part is to pinpoint the car and the position of its license plate, while the objective of the recognition part is to recognize characters on that plate. In this work, the emphasis is on Arabic car license plates. In this category of plates, there are three lines containing numerals and …
Retracted: High-Performance System For Predicting Icu Patient Durations Using Artificial Neural Networks With Transfer Learning, Mahmood. K. Awsaj, Yousif Al Mashhadany, Lamia Chaarifourati
Retracted: High-Performance System For Predicting Icu Patient Durations Using Artificial Neural Networks With Transfer Learning, Mahmood. K. Awsaj, Yousif Al Mashhadany, Lamia Chaarifourati
Iraqi Journal for Computer Science and Mathematics
In the wake of disease outbreaks such as COVID-19, real-time health monitoring and prediction systems have become essential for ensuring effective patient care. These systems rely on sensors to monitor biometric parameters such as blood pressure, body temperature, and heart rate, providing continuous and accurate data that medical staff cannot collect manually around the clock. This study presents a robust framework for managing Intensive Care Unit (ICU) patients using Artificial Neural Networks (ANN) with Transfer Learning. The data is analyzed across five distinct time windows, each representing a period of ICU stay based on vital signs and medical test results. …