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Axion-Polaritons In The Magnetic Dual Chiral Density Wave Phase Of Dense Qcd, Efrain J. Ferrer, Vivian De La Incera

Physics & Astronomy Faculty Publications

We investigate the propagation of electromagnetic radiation in the magnetic dual chiral density wave (MDCDW) phase of dense quark matter. Considering the theory of low-energy fluctuations in this phase, we show how linearly polarized photons reaching the MDCDW medium couple to the fluctuation field to produce two hybridized modes of propagation that we call in analogy with similar phenomenon in condensed matter physics axion polaritons, one of them being gapless and the other gapped. The gapped mode's gap is proportional to the background magnetic field and inversely proportional to the amplitude of the inhomogeneous condensate. The generation of axion …

Antiviral Susceptibility Of Clade 2.3.4.4b Highly Pathogenic Avian Influenza A(H5n1) Viruses Isolated From Birds And Mammals In The United States, 2022, Ha T. Nguyen, Anton Chesnokov, Juan De La Cruz, Philippe Noriel Q. Pascua, Vasiliy P. Mishin, Yunho Jang, Joyce Jones, Han Di, Andrei A. Ivashchenko, Mary Lea Killian, Mia K. Torchetti, Kristina Lantz, David E. Wentworth, Charles T. Davis, Alexandre V. Ivachtchenko, Larisa V. Gubareva

United States Department of Agriculture Wildlife Services: Staff Publications

Clade 2.3.4.4b highly pathogenic avian influenza (HPAI) A(H5N1) viruses that are responsible for devastating outbreaks in birds and mammals pose a potential threat to public health. Here, we evaluated their susceptibility to influenza antivirals. Of 1,015 sequences of HPAI A(H5N1) viruses collected in the United States during 2022, eight viruses (∼0.8%) had a molecular marker of drug resistance to an FDA-approved antiviral: three adamantane-resistant (M2-V27A), four oseltamivir-resistant (NA-H275Y), and one baloxavir-resistant (PA-I38T). Additionally, 31 viruses contained mutations that may reduce susceptibility to inhibitors of neuraminidase (NA) (n = 20) or cap-dependent endonuclease (CEN) (n = 11). A panel of 22 …

Analysis And Modeling Of Early Estradiol-Induced Greb1 Single Allele Gene Transcription At The Population Level, S Mahmood Ghasemi, Pankaj K Singh, Hannah L Johnson, Ayse Koksoy, Michael A Mancini, Fabio Stossi, Robert Azencott

Faculty, Staff and Students Publications

Single molecule fluorescence in situ hybridization (smFISH) can be used to visualize transcriptional activation at the single allele level. We and others have applied this approach to better understand the mechanisms of activation by steroid nuclear receptors. However, there is limited understanding of the interconnection between the activation of target gene alleles inside the same nucleus and within large cell populations.

Using the GREB1 gene as an early estrogen receptor (ER) response target, we applied smFISH to track E2-activated GREB1 allelic transcription over early time points to evaluate potential dependencies between alleles within the same nucleus. We compared two types …

Constrained Quantization For A Uniform Distribution With Respect To A Family Of Constraints, Megha Pandey, Mrinal Kanti Roychowdhury

School of Mathematical & Statistical Sciences Faculty Publications

In this paper, with respect to a family of constraints for a uniform probability distribution we determine the optimal sets of n-points and the nth constrained quantization errors for all positive integers n. We also calculate the constrained quantization dimension and the constrained quantization coefficient. The work in this paper shows that the constrained quantization dimension of an absolutely continuous probability measure depends on the family of constraints and is not always equal to the Euclidean dimension of the underlying space where the support of the probability measure is defined.

Impact Of Sex In Luxury Fashion Advertisements On Brand Attractiveness And Identification, Alyssa Dana Dana Adomaitis, Diana Saiki, Juan Del Pozo Severino

Publications and Research

Purpose

This study examined perceived brand attractiveness of and identification with fashion luxury brands given different levels of sexuality in advertisements. Sex in advertisements has become increasingly more common to generate attention and interest in fashion luxury products, with limited research on its influence on the consumer. However, the use of sexuality in luxury advertisements may counter the ethical expectations of brands by the current consumer in the United States.

Design/methodology/approach

A sample of 1,266 males and females completed a survey on brand attractiveness and identification after examining an advertisement of a luxury fashion product. Participants were assigned an advertisement …

Weathering The Perfect Legal Storm: Novel Virus, Novel Instruction, Novel Course, Marissa Moran

Publications and Research

For this legal educator, in the spring and fall of 2020, three simultaneous and novel events-Corona virus, virtual synchronous instruction, and teaching a new interdisciplinary course for the first time, created an environment that could have resulted in the perfect legal storm. Instead, these events contributed to beneficial teaching and learning experiences from which arose many “first-ever” innovative faculty and student endeavors.

Empowering Foot Health: Harnessing The Adaptive Weighted Sub-Gradient Convolutional Neural Network For Diabetic Foot Ulcer Classification, Abdullah Alqahtani, Shtwai Alsubai, Mohamudha Parveen Rahamathulla, Abdu Gumaei, Mohemmed Sha, Yu-Dong Zhang, Muhammad Attique Khan

School of Podiatric Medicine Publications

In recent times, DFU (diabetic foot ulcer) has become a universal health problem that affects many diabetes patients severely. DFU requires immediate proper treatment to avert amputation. Clinical examination of DFU is a tedious process and complex in nature. Concurrently, DL (deep learning) methodologies can show prominent outcomes in the classification of DFU because of their efficient learning capacity. Though traditional systems have tried using DL-based models to procure better performance, there is room for enhancement in accuracy. Therefore, the present study uses the AWSg-CNN (Adaptive Weighted Sub-gradient Convolutional Neural Network) method to classify DFU. A DFUC dataset is considered, …

On Singular Values Of Large Dimensional Lag- Τ Sample Auto-Correlation Matricesjournal Of Multivariate Analysis, Zhanting Long, Zeng Li, Ruitao Lin, Jiaxin Qiu

Faculty, Staff and Student Publications

We study the limiting behavior of singular values of a lag-τ" role="presentation" style="box-sizing: inherit; display: inline-block; line-height: 0; font-size: 18.08px; font-size-adjust: none; overflow-wrap: normal; text-wrap-mode: nowrap; float: none; direction: ltr; max-width: none; max-height: none; min-width: 0px; min-height: 0px; border: 0px; margin: 0px; padding: 1px 0px; color: rgb(33, 33, 33); font-family: BlinkMacSystemFont, -apple-system, "Segoe UI", Roboto, Oxygen, Ubuntu, Cantarell, "Fira Sans", "Droid Sans", "Helvetica Neue", sans-serif; position: relative;">ττ sample auto-correlation matrix Rτϵ" role="presentation" style="box-sizing: inherit; display: inline-block; line-height: 0; font-size: 18.08px; font-size-adjust: none; overflow-wrap: normal; text-wrap-mode: nowrap; float: none; direction: ltr; max-width: none; max-height: none; min-width: 0px; min-height: 0px; border: …

Clonal Evolution And Hierarchy In Myeloid Malignancies, Koichi Takahashi, Tomoyuki Tanaka

Faculty, Staff and Student Publications

Myeloid malignancies, a group of hematopoietic disorders that includes acute myeloid leukemia (AML), myelodysplastic syndromes (MDS), and myeloproliferative neoplasms (MPNs), are caused by the accumulation of genetic and epigenetic changes in hematopoietic stem and progenitor cells (HSPCs) over time. Despite the relatively low number of genomic drivers compared with other forms of cancer, the process by which these changes shape the genomic architecture of myeloid malignancies remains elusive. Recent advancements in clonal hematopoiesis research and the use of cutting-edge single cell technologies have shed new light on the developmental process of myeloid malignancies. In this review, we delve into the …

Mpla Case: How Do You Lead As A Lead Physicist?, Patricia Sansourekidou, Leonard Kim, Lee Xu, Mary Gronberg, Cassandra Stambaugh, Dongxu Wang

Faculty, Staff and Student Publications

This work of fiction is part of a case study series developed by the Medical Physics Leadership Academy (MPLA). It is intended to facilitate the discussion of the managerial and leadership challenges faced by a clinical medical physicist. In this case, a physicist David used to work in a clinic where he thrived and felt like a leader, despite not having the title. After a job change, he is now officially the "Lead Physicist" at a hospital newly affiliated with a large academic healthcare system. He believes he will be equally successful. Yet he struggles to bring about changes and …

Low Pitch Significantly Reduces Helical Artifacts In Abdominal Ct, Moiz Ahmad, Peng Sun, Christine B Peterson, Marcus R Anderson, Xinming Liu, Ajaykumar C Morani, Corey T Jensen

Faculty, Staff and Student Publications

Purpose: High helical pitch scanning minimizes scan times in CT imaging, and thus also minimizes motion artifact and mis-synchronization with contrast bolus. However, high pitch produces helical artifacts that may adversely affect diagnostic image quality. This study aims to determine the severity and incidence of helical artifacts in abdominal CT imaging and their relation to the helical pitch scan parameter.

Methods: To obtain a dataset with varying pitch values, we used CT exam data both internal and external to our center. A cohort of 59 consecutive adult patients receiving an abdomen CT examination at our center with an accompanying prior …

Microfluidic Paper-Based Device Coupled With 3d Printed Imaging Box For Colorimetric Detection In Resource-Limited Settings, Vijay Vaishampayan, Oinam Robita Chanu, Balasubramanian Sivasamy, Muthamilselvi Ponnuchamy, Varshini Karthik, Ambar Pendharkar, Lohith Srinivas Thotakura, Aryan Prabhu, Venkatesan Dhananjeyan, Ashish Kapoor

Faculty, Staff and Student Publications

Rapid and effective methods for the detection of analytes such as water contaminants, food adulterants and biomolecules are essential for the protection of public health and environmental protection. Most of the currently established analytical techniques need sophisticated equipment, centralized testing facilities, costly operations, and trained personnel. Such limitations make them inaccessible to the general populace, particularly in regions with limited resources. The emergence of microfluidic devices offers a promising alternative to overcome several such constraints. This work describes a protocol for fabricating a low-cost, open-source paper-based microfluidic device using easily available tools and materials for colorimetric detection of analytes. The …

Making Waves: Integrating Wastewater Surveillance With Dynamic Modeling To Track And Predict Viral Outbreaks, Tin Phan, Samantha Brozak, Bruce Pell, Jeremiah Oghuan, Anna Gitter, Tao Hu, Ruy M Ribeiro, Ruian Ke, Kristina D Mena, Alan S Perelson, Yang Kuang, Fuqing Wu

Faculty, Staff and Student Publications

Wastewater surveillance has proved to be a valuable tool to track the COVID-19 pandemic. However, most studies using wastewater surveillance data revolve around establishing correlations and lead time relative to reported case data. In this perspective, we advocate for the integration of wastewater surveillance data with dynamic within-host and between-host models to better understand, monitor, and predict viral disease outbreaks. Dynamic models overcome emblematic difficulties of using wastewater surveillance data such as establishing the temporal viral shedding profile. Complementarily, wastewater surveillance data bypasses the issues of time lag and underreporting in clinical case report data, thus enhancing the utility and …

Use Of Compartmental Modeling And Retinol Isotope Dilution To Determine Vitamin A Stores In Young People With Sickle Cell Disease Before And After Vitamin A Supplementation, Jennifer Lynn Ford, Michael H Green, Jefferson N Brownell, Joanne Balmer Green, Anthony Oxley, Georg Lietz, Joan I Schall, Virginia A Stallings

Faculty, Staff and Student Publications

BACKGROUND: Suboptimal plasma retinol concentrations have been documented in US children with sickle cell disease (SCD) hemoglobin SS type (SCD-HbSS), but little is known about vitamin A kinetics and stores in SCD.

OBJECTIVES: The objectives were to quantify vitamin A total body stores (TBS) and whole-body retinol kinetics in young people with SCD-HbSS and use retinol isotope dilution (RID) to predict TBS in SCD-HbSS and healthy peers as well as after vitamin A supplementation in SCD-HbSS subjects.

METHODS: Composite plasma [

RESULTS: Model-predicted group mean TBS for subjects with SCD-HbSS was 428 μmol, equivalent to ∼11 mo of stored vitamin …

Evaluation Of Novel Ai Architectures For Uncertainty Estimation, Erik Pautsch, John Li, Silvio Rizzi, George K. Thiruvathukal, Maria Pantoja

Computer Science: Faculty Publications and Other Works

Deep learning (DL) has become a cornerstone for advancements in computer vision, yielding models capable of remarkable performance on complex visual tasks. Despite these achievements, there remains a critical need for accurate uncertainty estimations, especially when models encounter out-of-distribution (OOD) inputs. Addressing this, our research focuses on the implementation and evaluation of uncertainty techniques in two prominent DL architectures: Convolutional Neural Networks (CNN) and Vision Transformers (ViT). These architectures were applied specifically to computer vision tasks, utilizing the MNIST and ImageNet-1K datasets for our evaluations.

High-Performance Computing (HPC) platforms, pivotal to this research, were employed to assess these techniques. The …

Pymaivar: An Open-Source Python Suit For Audio-Image Representation In Human Action Recognition, Muhammad B. Shaikh, Douglas Chai, Syed M. S. Islam, Naveed Akhtar

Research outputs 2022 to 2026

We present PyMAiVAR, a versatile toolbox that encompasses the generation of image representations for audio data including Wave plots, Spectral Centroids, Spectral Roll Offs, Mel Frequency Cepstral Coefficients (MFCC), MFCC Feature Scaling, and Chromagrams. This wide-ranging toolkit generates rich audio-image representations, playing a pivotal role in reshaping human action recognition. By fully exploiting audio data's latent potential, PyMAiVAR stands as a significant advancement in the field. The package is implemented in Python and can be used across different operating systems.

Challenges And Solutions For Autonomous Ground Robot Scene Understanding And Navigation In Unstructured Outdoor Environments: A Review, Liyana Wijayathunga, Alexander Rassau, Douglas Chai

Research outputs 2022 to 2026

The capabilities of autonomous mobile robotic systems have been steadily improving due to recent advancements in computer science, engineering, and related disciplines such as cognitive science. In controlled environments, robots have achieved relatively high levels of autonomy. In more unstructured environments, however, the development of fully autonomous mobile robots remains challenging due to the complexity of understanding these environments. Many autonomous mobile robots use classical, learning-based or hybrid approaches for navigation. More recent learning-based methods may replace the complete navigation pipeline or selected stages of the classical approach. For effective deployment, autonomous robots must understand their external environments at a …

Photothermal Catalysis: From Fundamentals To Practical Applications, Jinqiang Zhang, Haijun Chen, Xiaoguang Duan, Hongqi Sun, Shaobin Wang

Research outputs 2022 to 2026

Photothermal catalysis is an innovative approach that integrates photochemical and thermocatalytic processes to enable an efficient use of full-spectrum sunlight in catalyzing various chemical reactions for energy conversion and environmental governance. This approach has demonstrated competitive performance and energy efficiency compared to conventional techniques, making it suitable for large-scale applications. In this review, we will comprehensively examine the fundamentals and classification of photothermal catalysis and discuss detailed design principles of various types of photothermal catalysts, focusing on enhancing solar light absorption, improving internal electric field for more energetic hot carriers (EHC) and localized thermal energy (LTE), interfacial engineering for robust …

Lead Exposure Of Mainland Australia's Top Avian Predator, Jordan O. Hampton, Michael T. Lohr, Aaron J. Specht, Damien Nzabanita, Jasmin Hufschmid, Lee Berger, Kate Mcginnis, Jane Melville, Emma Bennett, James M. Pay

Research outputs 2022 to 2026

Lead (Pb) toxicity, through ingestion of lead ammunition in carcasses, is a threat to scavenging birds worldwide, but has received little attention in Australia. We analyzed lead exposure in the wedge-tailed eagle (Aquila audax), the largest raptor species found in mainland Australia and a facultative scavenger. Eagle carcasses were collected opportunistically throughout south-eastern mainland Australia between 1996 and 2022. Lead concentrations were measured in bone samples from 62 animals via portable X-ray fluorescence (XRF). Lead was detected (concentration > 1 ppm) in 84% (n = 52) of the bone samples. The mean lead concentration of birds in which lead was detected …

Harnessing The Power Of Computational Fluid Dynamics For Flow Coefficient And Rain Resistance Improvement Of Type 1 Natural Ventilators, Amin Roostaee, Mehdi Khiadani, Hussein A. Mohammed, Abdellah Shafieian

Research outputs 2022 to 2026

Type 1 Natural Ventilators act like a shield protecting the building from rain intrusion while allowing air to flow from outside. Despite their wide applications, they are far from the ideal design, mainly due to a lack of data on their air discharge coefficient and rain defense effectiveness under different climatic conditions. According to ventilation standards, since experimental testing of different geometries and configurations of these ventilators are complex, difficult, and costly, this study aims to implement Computational Fluid Dynamics (CFD) tools to investigate their performance. To do this, a combination of 9 various louvre panels was designed with 1, …

Harnessing The Power Of Neural Networks For The Investigation Of Solar-Driven Membrane Distillation Systems Under The Dynamic Operation Mode, Pooria Behnam, Masoumeh Zargar, Abdellah Shafieian, Amir Razmjou, Mehdi Khiadani

Research outputs 2022 to 2026

Accurate modeling of solar-driven direct contact membrane distillation systems (DCMD) can enhance the commercialization of these promising systems. However, the existing dynamic mathematical models for predicting the performance of these systems are complex and computationally expensive. This is due to the intermittent nature of solar energy and complex heat/mass transfer of different components of solar-driven DCMD systems (solar collectors, MD modules and storage tanks). This study applies a machine learning-based approach to model the dynamic nature of a solar-driven DCMD system for the first time. A small-scale rig was designed and fabricated to experimentally assess the performance of the system …

Carbon Isotope Chemostratigraphy, Geochemistry, And Biostratigraphy Of The Paleocene–Eocene Thermal Maximum, Deepwater Wilcox Group, Gulf Of Mexico (Usa), Glenn R. Sharman, Eugene Szymanski, Rebecca A. Hackworth, Alicia C.M. Kahn, Lawrence A. Febo, Jordan Oefinger, Gunnar M. Gregory

Geosciences Faculty Publications and Presentations

The Paleocene–Eocene Thermal Maximum (PETM) represents the most pronounced hyperthermal of the Cenozoic era and is hypothesized to have resulted in an intensification of the paleohydrologic cycle, including enhanced seasonality and increased sediment discharge to the coastal ocean. Although the PETM has been widely documented, there are few records from deposits that form the distal, deepwater components of large sediment-routing systems. This study presents new constraints on the stratigraphic placement of the PETM in the deepwater Gulf of Mexico basin through analysis of geochemical, carbon isotopic, and biostratigraphic data within a ∼124 m cored interval of the Wilcox Group. Biostratigraphic …

Guar-Based Injectable Hydrogel For Drug Delivery And In Vitro Bone Cell Growth, Humandra Poudel, Ambar R. Rangumagar, Pooja Singh, Adeolu Oluremi, Nawab Ali, Fumiya Watanabe, Joseph Batta-Mpouma, Jin-Woo Kim, Ahona Ghosh, Anindya Ghosh

Chemistry & Biochemistry Faculty Publications and Presentations

Injectable hydrogels offer numerous advantages in various areas, which include tissue engineering and drug delivery because of their unique properties such as tunability, excellent carrier properties, and biocompatibility. These hydrogels can be administered with minimal invasiveness. In this study, we synthesized an injectable hydrogel by rehydrating lyophilized mixtures of guar adamantane (Guar-ADI) and poly-β-cyclodextrin (p-βCD) in a solution of phosphate-buffered saline (PBS) maintained at pH 7.4. The hydrogel was formed via host-guest interaction between modified guar (Guar-ADI), obtained by reacting guar gum with 1-adamantyl isocyanate (ADI) and p-βCD. Comprehensive characterization of all synthesized materials, including the hydrogel, was performed using …

Challenges In Estimating The Effectiveness Of 2 Doses Of Covid-19 Vaccine Beyond 6 Months In England, Elsie M.F. Horne, William J. Hulme, Ruth H. Keogh, Tom M. Palmer, Elizabeth J. Williamson, Edward P.K. Parker, Venexia M. Walker, Rochelle Knight, Yinghui Wei, Kurt Taylor, Louis Fisher, Jessica Morley, Amir Mehrkar, Iain Dillingham, Sebastian Bacon, Ben Goldacre, Jonathan A.C. Sterne

School of Engineering, Computing and Mathematics

Understanding how the effectiveness of coronavirus disease 2019 (COVID-19) vaccine changes over time and in response to new severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants is crucial to scheduling subsequent doses. In a previous study, Horne et al. (1) quantified vaccine effectiveness (VE) over 6 consecutive 4-week periods from 2 weeks to 26 weeks after the second dose. Waning of hazard ratios (HRs) when comparing vaccinated persons with unvaccinated persons was approximately log-linear over time and was consistent across COVID-19– related outcomes and risk-based subgroups. To investigate waning beyond 26 weeks and in the era of the Omicron variant, …

Experimental And Numerical Investigation On Thermal Properties Of Alkali-Activated Concrete At Elevated Temperatures, Min Yu, Hanjie Lin, Tan Wang, Feiyu Shi, Dawang Li, Yin Chi, L-Y Li

School of Engineering, Computing and Mathematics

his paper presents the experimental and numerical investigation on the thermal properties of steel fibre-reinforced alkali-activated concrete (AAC) made by using multiple precursors at elevated temperatures. The temperature-dependent thermal properties such as mass change, thermal conductivity, density, specific heat, and thermal expansion are reported. The effects of temperature heating AAC, coarse aggregate, and steel fibre on the thermal performance of AAC are evaluated quantitatively. Experimental results show that high temperature greatly affects the thermal properties of AAC. Coarse aggregate and steel fibre also have a considerable influence on the thermal properties. Based on the test results, a multi-phase mesoscale model …

Simulations Of Laser-Driven Strong-Field Qed With Ptarmigan: Resolving Wavelength-Scale Interference And Γ-Ray Polarization, T. G. Blackburn, B. King, S. Tang

School of Engineering, Computing and Mathematics

Accurate modeling is necessary to support precision experiments investigating strong-field QED phenomena. This modeling is particularly challenging in the transition between the perturbative and nonperturbative regimes, where the normalized laser amplitude a0 is comparable to unity and wavelength-scale interference is significant. Here, we describe how to simulate nonlinear Compton scattering, Breit–Wheeler pair creation, and trident pair creation in this regime, using the Monte Carlo particle-tracking code Ptarmigan. This code simulates collisions between high-intensity lasers and beams of electrons or γ rays, primarily in the framework of the locally monochromatic approximation. We benchmark our simulation results against full QED calculations for …

Decentralized Iot System Based On Blockchain And Homomorphic Technologies, Mohanad A. Mohammed, Hala B.

Iraqi Journal of Computers, Communications, Control and Systems Engineering

decentralization within IoT eliminates the need to use distributed networks within IoT to communicate only with servers that may face difficulties related to the internet, vulnerabilities, DDOS, or hijacks, merging blockchain with IoT converted the IoT system into a decentralized with many benefits and outcomes from this conversion. An encryption scheme homomorphic technique (HE) is a method that encrypts the cipher data without the need to decrypt it,paillier encryption method is used. This paper aims to propose a system that integrates Paillier cryptosystem homomorphic technology with IoT and lightweight blockchain technology to provide decentralization to the IoT environment and improve …

Distinct Architectures Of Feed Forward Neural Network For Implementing A Human Swing Leg System, Aws M. Abdullah, Ali Mohsin, Farah F. Alkhalid

Iraqi Journal of Computers, Communications, Control and Systems Engineering

The artificial intelligence techniques such as neural networks and fuzzy systems play an important role to disconnect flexion & expansion of the swing leg, the earth response force of the other foot has been redesigned. Underthat paper, we think the fuzzy controller plan Issue for yield following flawed genuine investigation of nonlinear systems. For examination, an essential fuzzy control plot has been bristly developed dependent on a current methodology delegate under the field.In this paper, the Feedforward Neural Network has been implemented with integer, fixed point and floating point data representations. Additionally, The Fuzzy Logic Controllers in both analog and …

A New Perspective For Mining Coco Dataset, Suha Dh. Athab, Abdulamir Abdullah, Kesra Nermend

Iraqi Journal of Computers, Communications, Control and Systems Engineering

Microsoft Common Objects in Context (COCO) is a huge image dataset that has over 300 k images belonging to more than ninety-one classes. COCO has valuable information in the field of detection, segmentation, classification, and tagging; but the COCO dataset suffers from being unorganized, and classes in COCO interfere with each other. Dealing with it gives very low and unsatisfying results whether when calculating accuracy or intersection over the union in classification and segmentation algorithms. A simple method is proposed to create a customized subset from the COCO dataset by determining the class or class numbers. The suggested method is …

Efficient Iris Image Recognition System Based On Machine Learning Approach, Hind Moutaz Al-Dabbas, Raghad Abdulaali, Akbas Ezaldeen Ali

Iraqi Journal of Computers, Communications, Control and Systems Engineering

Iris identification is a well‐ known technology used to detect striking biometric identification techniques for recognizing human beings based on physical behavior. The texture of the iris is essential and its anatomy varies from individual to individual. Humans have distinctive physical characteristics that never change. This has resulted in a considerable advancement in the field of iris identification, which inherits the random variation of the data and is often a dependable technological area. This research proposes three algorithms to examine the classifications in machine learning approaches using feature extraction for the iris image. The applied recognition system used many methods …