Open Access. Powered by Scholars. Published by Universities.®

Digital Commons Network™

Open Access. Powered by Scholars. Published by Universities.®

Discipline
Institution
Keyword
Publication Year
Publication
Publication Type
File Type

Articles 73561 - 73590 of 1114311

Full-Text Articles in Entire DC Network

Neuro-Symbolic Ai Techniques To Advance Model Verification, Scalability And Equity With Applications To Math Learning, Anup Shakya Nov 2024

Neuro-Symbolic Ai Techniques To Advance Model Verification, Scalability And Equity With Applications To Math Learning, Anup Shakya

Electronic Theses and Dissertations Archive

Neuro-symbolic models leverage the combined strengths of both symbolic AI and Deep Neural networks (DNNs), namely the interpretability of symbolic AI and the representation power of DNNs. These models are gaining significant attention, particularly in high-stakes domains where domain knowledge and interpretability play a key role. In this dissertation, we propose to develop neuro-symbolic AI based techniques to improve the scalability, verifiability, and equitability of these models. Specifically, we will focus on a high-stakes domain where the aforementioned properties are crucial, namely, AI-enabled education. In particular, Intelligent Tutoring Systems (ITSs) can make high-quality education available for a large and diverse …

Go to article

How Does Herbicide Resistance Change Farmer’S Weed Management Decisions? Evidence From The Roundup Ready Experiment, Huichun Sun, Terrance Hurley, George B. Frisvold, Katherine Dentzman, David Ervin, Wesley Everman, Jeffrey Gunsolus, Jason Norsworthy, Micheal Owen Nov 2024

How Does Herbicide Resistance Change Farmer’S Weed Management Decisions? Evidence From The Roundup Ready Experiment, Huichun Sun, Terrance Hurley, George B. Frisvold, Katherine Dentzman, David Ervin, Wesley Everman, Jeffrey Gunsolus, Jason Norsworthy, Micheal Owen

Environmental Science and Management Faculty Publications and Presentations

Adoption of diverse weed management practices is viewed as essential for slowing the spread of herbicide-resistant (HR) weeds. Yet, adoption of diverse tactics has remained low, while there has been explosive growth of resistant weeds. This study analyzes U.S.-farm-level data to identify factors affecting adoption of diverse weed management practices. This study uses directed acyclic graphs (DAGs) to consider how practice adoption is influenced by different causal pathways between farmer and farm characteristics and farmer awareness of and concern over HR weeds. This study then uses multiple regression analysis to estimate the direct and indirect pathways that influence practice adoption. …

Go to article

Modulation Of Energetic And Lipid Pathways By Curcumin As A Potential Chemopreventive Strategy In Human Prostate Cancer Cells, Michele Pellegrino, Maria Antonietta Occhiuzzi, Fedora Grande, Ilaria Stefania Pagani, Stefano Aquaro, Paola Tucci Nov 2024

Modulation Of Energetic And Lipid Pathways By Curcumin As A Potential Chemopreventive Strategy In Human Prostate Cancer Cells, Michele Pellegrino, Maria Antonietta Occhiuzzi, Fedora Grande, Ilaria Stefania Pagani, Stefano Aquaro, Paola Tucci

Staff and Researcher Publications

In Western industrialized countries, prostate cancer (PCa) is the second most common malignant disease and prevalent cause of death for men. Epidemiological studies have shown that curcumin (CUR) either prevents PCa initiation or delays its progression to a more aggressive and treatment-refractory form, thus reducing related mortality. Our previous studies have proven the anticancer, antioxidant, and anti-inflammatory properties of CUR on PCa cells. However, there are few reports of the effect of CUR on energy and lipid pathways in PCa. Herein, we show that CUR can modulate the two metabolic energy pathways, increasing glycolytic reserve and reducing oxidative phosphorylation. Moreover, …

Go to article

Data Security In The Apple Ecosystem: An Evaluation, Kayrene Woods Nov 2024

Data Security In The Apple Ecosystem: An Evaluation, Kayrene Woods

Cybersecurity Undergraduate Research Showcase

This study provides a comprehensive evaluation of data security within the Apple ecosystem, focusing on the company’s privacy policies, user perceptions, and the effectiveness of its App Store review processes. Employing an interdisciplinary methodology, the research examines Apple’s commitment to data protection, emphasizing transparency and user trust. A survey of user experiences revealed varying levels of engagement and understanding of Apple’s privacy practices, with only 32.8% of respondents having read the Privacy Policy and mixed opinions on its clarity. Additionally, concerns persist about third-party app security, with 39.7% of users expressing apprehension and skepticism about Apple’s App Store review process. …

Go to article

Re: Butte Mine Flooding Operable Unit Berkeley Pit And Discharge Pilot Project – October 2024 Monthly Discharge Monitoring Report, Mark Thompson, Dave Griffis Nov 2024

Re: Butte Mine Flooding Operable Unit Berkeley Pit And Discharge Pilot Project – October 2024 Monthly Discharge Monitoring Report, Mark Thompson, Dave Griffis

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Go to article

Experiences Of Newly Graduated Registered Nurses’ Successful Transition Into Practice In Their First Year, Angelica Calvillo Nov 2024

Experiences Of Newly Graduated Registered Nurses’ Successful Transition Into Practice In Their First Year, Angelica Calvillo

Walden Dissertations and Doctoral Studies

The transition into nursing practice can be described as a phase that significantly impacts nurses’ professional development, quality of care, and attrition rates. Newly graduated registered nurses’ experiences during the transition into practice may be challenging and stressful, affect job satisfaction, attrition rates, and burnout. The purpose of this interpretive descriptive qualitative study, guided by Duchscher’s transition theory, was to describe the experiences of newly graduated registered nurses who report a successful transition into clinical practice in their first year postgraduation to identify what factors contribute to their success and retention. Nine newly graduated registered nurses, with 9-12 months of …

Go to article

The Effect Of Call Center Agent Burnout On Employee Engagement, Shyriah M. Marshall Nov 2024

The Effect Of Call Center Agent Burnout On Employee Engagement, Shyriah M. Marshall

Walden Dissertations and Doctoral Studies

Call center organizations have become important contact centers for various fields to conduct customer service. Within the automotive industry, call centers are used for emergency roadside assistance. The customer service representatives who are responsible for handling roadside assistance may be managing various issues, including burnout, which may carry over into their performance and ability to properly service customers. The relationships between burnout and employee engagement for inbound emergency roadside assistance agents were not well understood. The purpose of this study was to examine the relationship between customer service representatives’ level of burnout and employee engagement. A quantitative, cross-sectional research design …

Go to article

Trials And Tribulations Of Cell Therapy For Heart Failure, An Update On Ongoing Trials, Staff Nov 2024

Trials And Tribulations Of Cell Therapy For Heart Failure, An Update On Ongoing Trials, Staff

Browse All News

No abstract provided.

Go to article

Bioconvection Dynamics In Rotating And Stationary Cone-Disk Systems, Puneet Rana, Mahanthesh Basavarajappa Nov 2024

Bioconvection Dynamics In Rotating And Stationary Cone-Disk Systems, Puneet Rana, Mahanthesh Basavarajappa

School of Mathematical & Statistical Sciences Faculty Publications

This work focuses on the study of bioconvection in a conical region of rotating and stationary cone-disk systems utilizing nanofluids involving gyrotactic micro-organisms. The flow geometry encompasses two different configurations, namely, rotating cone-disk system (RCDS) and stationary cone-disk system (SCDS). For RCDS, four unique configurations are considered: rotating cone static disk (Model-I), static cone rotating disk (Model-II), co-rotating cone-disk (Model-III), and counter-rotating cone-disk (Model-IV), while SCDS includes both swirling and non-swirling flow scenarios. A total of six different physical configurations that differ in boundary conditions are investigated. The mathematical model comprises Navier–Stokes, energy, nanoparticle volume fraction (NVF), and micro-organism density …

Go to article

Separating A Particle's Mass From Its Momentum, Mordecai Waegell, Jeff Tollaksen, Yakir Aharonov Nov 2024

Separating A Particle's Mass From Its Momentum, Mordecai Waegell, Jeff Tollaksen, Yakir Aharonov

Mathematics, Physics, and Computer Science Faculty Articles and Research

The Quantum Cheshire Cat experiment showed that when weak measurements are performed on pre- and post-selected system, the counterintuitive result has been obtained that a neutron is measured to be in one place without its spin, and its spin is measured to be in another place without the neutron. A generalization of this effect is presented with a massive particle whose mass is measured to be in one place with no momentum, while the momentum is measured to be in another place without the mass. The new result applies to any massive particle, independent of its spin or charge. A …

Go to article

Comparing Neoantigen Cancer Vaccines And Immune Checkpoint Therapy Unveils An Effective Vaccine And Anti-Trem2 Macrophage-Targeting Dual Therapy, Sunita Keshari, Alexander S Shavkunov, Qi Miao, Akata Saha, Tomoyuki Minowa, Charmelle D Williams, Anna M Highsmith, Josué E Pineda, Sayan Alekseev, Elise Alspach, Kenneth H Hu, Marco Colonna, Kristen E Pauken, Ken Chen, Matthew M Gubin Nov 2024

Comparing Neoantigen Cancer Vaccines And Immune Checkpoint Therapy Unveils An Effective Vaccine And Anti-Trem2 Macrophage-Targeting Dual Therapy, Sunita Keshari, Alexander S Shavkunov, Qi Miao, Akata Saha, Tomoyuki Minowa, Charmelle D Williams, Anna M Highsmith, Josué E Pineda, Sayan Alekseev, Elise Alspach, Kenneth H Hu, Marco Colonna, Kristen E Pauken, Ken Chen, Matthew M Gubin

Faculty, Staff and Student Publications

The goal of therapeutic cancer vaccines and immune checkpoint therapy (ICT) is to promote T cells with anti-tumor capabilities. Here, we compared mutant neoantigen (neoAg) peptide-based vaccines with ICT in preclinical models. NeoAg vaccines induce the most robust expansion of proliferating and stem-like PD-1+TCF-1+ neoAg-specific CD8 T cells in tumors. Anti-CTLA-4 and/or anti-PD-1 ICT promotes intratumoral TCF-1- neoAg-specific CD8 T cells, although their phenotype depends in part on the specific ICT used. Anti-CTLA-4 also prompts substantial changes to CD4 T cells, including induction of ICOS+Bhlhe40+ T helper 1 (Th1)-like cells. Although neoAg vaccines or ICTs expand iNOS+ macrophages, neoAg vaccines …

Go to article

Sustainable Environmental Technologies: Recent Development, Opportunities, And Key Challenges, Prafulla Kumar Sahoo, Rupali Datta, Mohammad Mahmudur Rahman, Dibyendu Sarkar Nov 2024

Sustainable Environmental Technologies: Recent Development, Opportunities, And Key Challenges, Prafulla Kumar Sahoo, Rupali Datta, Mohammad Mahmudur Rahman, Dibyendu Sarkar

Michigan Tech Publications

No abstract provided.

Go to article

Intelligent Transportation System With 5g Vehicle-To-Everything (V2x): Architectures, Vehicular Use Cases, Emergency Vehicles, Current Challenges, And Future Directions, Vaishali Pawar, Nilima Zade, Deepali Vora, Vaishali Khairnar, Aurenice M. Oliveira, Ketan Kotecha, Ambarish Kulkarni Nov 2024

Intelligent Transportation System With 5g Vehicle-To-Everything (V2x): Architectures, Vehicular Use Cases, Emergency Vehicles, Current Challenges, And Future Directions, Vaishali Pawar, Nilima Zade, Deepali Vora, Vaishali Khairnar, Aurenice M. Oliveira, Ketan Kotecha, Ambarish Kulkarni

Michigan Tech Publications

In recent years, connected vehicle technologies emerged to provide a safer and more connected environment for transportation systems, which has further evolved into cellular vehicle-to-everything (C-V2X) technology. The current study contributes in the direction of future research of smart India @2047 in connected vehicles. The study presents the diverse aspects of 5G V2X as a comprehensive overview of Vehicle-to-Everything (V2X) technology that covers the significant scope of V2X technology, including its development, components, functionality, use cases, and future potential. It is observed that few surveys are available that cover limited aspects of 5G V2X communication technologies, with one or two …

Go to article

New Insights Into Combined Surfzone, Embayment, And Estuarine Bathing Hazards, Christopher Stokes, Timothy Poate, Gerd Masselink, Tim Scott, Steve Instance Nov 2024

New Insights Into Combined Surfzone, Embayment, And Estuarine Bathing Hazards, Christopher Stokes, Timothy Poate, Gerd Masselink, Tim Scott, Steve Instance

School of Biological and Marine Sciences

Rip currents are the single largest cause of beach safety incidents globally, but where an estuary mouth intersects a beach, additional flows are created that can exceed the speed of a typical rip current, significantly increasing the hazard level for bathers. However, there is a paucity of observations of surfzone currents at estuary mouth beaches, and our understanding and ability to predict how the bathing hazard varies under different wave and tide conditions are therefore limited. Using field observations and process-based XBeach modelling at an embayed, estuary mouth beach, we demonstrate how surfzone currents can be driven by combinations of …

Go to article

Unified Worldline Treatment Of Yukawa And Axial Couplings, James Edwards Nov 2024

Unified Worldline Treatment Of Yukawa And Axial Couplings, James Edwards

School of Engineering, Computing and Mathematics

We provide a worldline representation of the one-loop effective action for a Dirac particle coupled to external scalar, pseudoscalar, vector and axialvector fields. Extending previous work by two of the authors on the pure vector-axialvector case to all four couplings, it allows one to treat the real and the imaginary parts of the effective action in a unified manner, at the price of having a non-Hermitian Hamiltonian. Unlike existing worldline representations, our new worldline action contains terms with an odd number of Grassmann fields, leading to ordering problems that in the worldline formalism are usually encountered only in curved space. …

Go to article

Analysis, Design, And Experimental Validation Of The Thermal Subsystem Of Alainsat-1 Cubesat, Ameereh Seyedzadeh Nov 2024

Analysis, Design, And Experimental Validation Of The Thermal Subsystem Of Alainsat-1 Cubesat, Ameereh Seyedzadeh

Thesis/ Dissertation Defenses

This thesis investigates the thermal management techniques of AlAinSat-1 during extremely harsh space conditions. It presents a comprehensive analysis of its thermal behavior using numerical techniques and validates the CubeSat's survivability in space via experimental testing. AlAinSat-1 is a nanocube-shaped satellite carrying Earth observation payloads, including RITA (Remote Sensing and Interference Detector with Radiometry and Vegetation Analysis) and Locana. Understanding how the CubeSat behaves in harsh space conditions and maintains thermal stability during its mission is critical to its success. The main aim of this study is to employ finite element analysis (FEA) techniques to simulate the thermal behavior of …

Go to article

Notes For Contributors To Space & Defense Nov 2024

Notes For Contributors To Space & Defense

Space and Defense

No abstract provided.

Go to article

Front Matter, Damon Coletta Nov 2024

Front Matter, Damon Coletta

Space and Defense

No abstract provided.

Go to article

Machine Translation In The Workplace: Deciding On The Whether, Why And How, Joop Bindels, Aletta G. Dorst, Mark Pluymaekers Nov 2024

Machine Translation In The Workplace: Deciding On The Whether, Why And How, Joop Bindels, Aletta G. Dorst, Mark Pluymaekers

Global Advances in Business Communication

Machine Translation (MT) is used intensively by all kinds of professionals around the world. These translation tools, in the form of a web interface, mobile phone app or as a plugin, bring with them enormous advantages: they are instantly available in a multitude of languages, often cost-free, easy to use and most of the time correct. However, they do carry certain risks, often unknown to the professionals using them. The ineffective use of MT could lead to situations of misunderstanding or misuse with real legal, medical or other implications. Hence the need for professionals to develop an informed and critical …

Go to article

Through Their Eyes, Austin Dixon, Ty-Ie Fuller Nov 2024

Through Their Eyes, Austin Dixon, Ty-Ie Fuller

Journal of Access, Retention, and Inclusion in Higher Education

This qualitative case study explored the perceptions of success and experiences of nine minority male participants in a men-of-color-themed first-year learning community (MCLC) at a Hispanic-Serving Institution. Focus groups and individual interviews revealed four major themes: the importance of strong instructor relationships, the subjective nature of success, the value of affinity spaces, and the positive impact of the learning community on development and motivation. Participants emphasized the role of instructor rapport, defined success through the lens of personal empowerment, and highlighted the significance of culturally relevant peer connections. The findings indicate that MCLCs can foster a sense of community, identity …

Go to article

Collaborative Development Of Machine Learning Algorithms For Student Success At John Jay College, John Harnisher, Sumaya Villanueva, Dana Prieto, Ricardo Anzaldua, Katie Beem Nov 2024

Collaborative Development Of Machine Learning Algorithms For Student Success At John Jay College, John Harnisher, Sumaya Villanueva, Dana Prieto, Ricardo Anzaldua, Katie Beem

Journal of Access, Retention, and Inclusion in Higher Education

Improving graduation rates is a crucial goal in higher education, but understanding who is at risk of dropping out is resource intensive, creating barriers to effective retention interventions. Thus, identifying factors that predict drop out risk is increasingly of interest, yet current approaches often lack transparency and accessibility. To aid in this effort, DataKind collaborated with John Jay College of Criminal Justice (JJC) to co-create a data-assisted student success tool, utilizing machine learning to identify students at risk of drop out and centering the role of advisors in supporting students. The insights from this tool are used by JJC to …

Go to article

Convolutional Neural Networks For Dementia Severity Classification: Ordinal Versus Regular Methods, Ambresh Bhadrashetty, P. Sandhya Nov 2024

Convolutional Neural Networks For Dementia Severity Classification: Ordinal Versus Regular Methods, Ambresh Bhadrashetty, P. Sandhya

Iraqi Journal for Computer Science and Mathematics

Dementia, a chronic neurodegenerative disorder, progressively impairs cognitive functions such as memory, reasoning, learning, and recall, placing a significant burden on patients and healthcare systems. Early and accurate classification of dementia severity is crucial for personalized care and intervention. This study introduces a novel Convolutional Neural Network (CNN) designed to classify dementia into four ordinal severity levels (None, Very Mild, Mild, and Moderate) based on MRI brain scans. Utilizing the extensive Open Access Series of Imaging Studies (OASIS) dataset, which includes 86,437 MRI scans (67,222 ‘none,’ 13,725 ‘very mild,’ 5,002 ‘mild,’ and 488 ‘moderate’), our model addresses severe class imbalance …

Go to article

New Three-Parameter Exponentiated Benini Distribution: Properties And Applications, Elif Yıldırım, Gamze Özel, Christophe Chesneaul, Farrukh Jamal, Ahmed M. Gemeay Nov 2024

New Three-Parameter Exponentiated Benini Distribution: Properties And Applications, Elif Yıldırım, Gamze Özel, Christophe Chesneaul, Farrukh Jamal, Ahmed M. Gemeay

Iraqi Journal for Computer Science and Mathematics

Modeling of some rarely occurring environmental events, obtaining and analyzing accurate predictions is quite important in determining the nature of such events and taking measures accordingly. Modeling these rarely occurring environmental events with the statistical distributions in the literature may cause some problems. For this reason, different statistical distributions are needed for modeling this type of rare data. In this paper, a new three-parameter exponentiated Benini distribution based on the exponential family is proposed as a new lifetime distribution. It is called the three-parameter exponentiated Benini distribution. Although new distributions are derived by different methods in the literature, there is …

Go to article

Investigating Intrusion Detection System Using Federated Learning For Iot Security Challenges, Mohammed Q. Mohammed, Zena Abd Alrahman, Aouf R. Shehab Nov 2024

Investigating Intrusion Detection System Using Federated Learning For Iot Security Challenges, Mohammed Q. Mohammed, Zena Abd Alrahman, Aouf R. Shehab

Iraqi Journal for Computer Science and Mathematics

The Internet of Things (IoT) is a decentralized and ever-changing network, which poses challenges in terms of security. The input highlights the need for robust security measures to protect IoT devices and their data from potential threats. The study focuses on Federated Learning (FL) technology as a potential solution to enhance IoT security. FL models are designed to protect sensitive data while allowing its exchange with other systems, making it a promising approach for securing IoT environments. Additionally, the input suggests the implementation of intrusion detection systems (IDS) as an additional strategy to enhance overall IoT security. By combining FL …

Go to article

Explainable Machine Learning Approach Enables Computer-Aided Identification System For Children Autism Spectrum Disorder (C-Asd), Karrar Hameed Abdulkareem, Zainab Hussein Arif, Mazin Abed Mohammed Nov 2024

Explainable Machine Learning Approach Enables Computer-Aided Identification System For Children Autism Spectrum Disorder (C-Asd), Karrar Hameed Abdulkareem, Zainab Hussein Arif, Mazin Abed Mohammed

Iraqi Journal for Computer Science and Mathematics

Neurodevelopmental disorders like autism spectrum disorder (ASD) cause significant cognitive, linguistic, object identification, communication, and social skills deficits. Although there is currently no cure for autism spectrum disorder (ASD), early detection can aid in diagnosis and implementing effective preventative measures. Artificial intelligence (AI) tools allow for an earlier diagnosis of ASD than was previously possible. Furthermore, many clinical and not clinical attributes can be used for identification of ASD but select the most proper ones still challenge. Therefore, in this study we propose a Computer-Aided Identification System based on machine learning concept and feature selection methods to diagnosis Children Autism …

Go to article

Stable Heterogeneous Traffic Flow With Effective Localization And Path Planning In Wireless Network Connected And Automated Vehicles In~Internet Of Vehicular Things (Iovt), Ahmed N. Rashid, Ahmed Mahdi Jubair Nov 2024

Stable Heterogeneous Traffic Flow With Effective Localization And Path Planning In Wireless Network Connected And Automated Vehicles In~Internet Of Vehicular Things (Iovt), Ahmed N. Rashid, Ahmed Mahdi Jubair

Iraqi Journal for Computer Science and Mathematics

The increasing complexity of networks comprising both Connected Autonomous Vehicles (CAVs) and Human-Driven Vehicles (HDVs) presents substantial challenges in achieving accurate positioning, efficient communication, and optimal route planning. Current methodologies fall short in enhancing vehicular network efficiency and reliability due to noise interference, inefficient data transmission, and unstable data transfer. This study aims to improve localization accuracy, reduce communication noise, and enhance path planning efficiency in mixed CAV and HDV environments through the Stable Heterogeneous Traffic Flow using Deep Reinforcement Learning and Effective Path Planning (SHTDR-EPP) approach. The primary goals are to ensure dependable localization, efficient communication, and reliable route …

Go to article

A Comprehensive Analysis Of Partition Dimensions In Efavirenz Abacavir Lamivudine Doravirine Of Anti-Hiv Drug Structures, R. Nithya Raj, R. Sundara Rajan, Hijaz Ahmad Nov 2024

A Comprehensive Analysis Of Partition Dimensions In Efavirenz Abacavir Lamivudine Doravirine Of Anti-Hiv Drug Structures, R. Nithya Raj, R. Sundara Rajan, Hijaz Ahmad

Iraqi Journal for Computer Science and Mathematics

The partition dimension of a graph in chemical graph theory refers to a graph invariant used to analyze the structural properties of molecules. It represents the minimum number of clusters or resolving partition set required to uniquely identify each vertex in the graph based on the neighborhoods within their respective clusters. In the context of chemical graph theory, the vertices of the graph correspond to atoms, and edges represent bonds between these atoms in a molecular structure. Determining the partition dimension of a chemical graph helps in understanding the relationships between molecular components and their spatial arrangements. It assists in …

Go to article

Embedded Schemes Of The Runge-Kutta Type For The Direct Solution Of Fourth-Order Ordinary Differential Equations, F. A. Fawzi, Nizam G. Ghawadri Nov 2024

Embedded Schemes Of The Runge-Kutta Type For The Direct Solution Of Fourth-Order Ordinary Differential Equations, F. A. Fawzi, Nizam G. Ghawadri

Iraqi Journal for Computer Science and Mathematics

This paper introduces an innovative approach for solving fourth-order ordinary differential equations (ODEs) of the form. We present the embedded Runge-Kutta (RK) Direct Explicit (ERKDGF) method, a family of embedded direct explicit RK type methods tailored specifically for this purpose. Through meticulous application of Taylor expansion, we have derived algebraic equations with order conditions up to the sixth order, ensuring the accuracy and reliability of our proposed integrator. We have developed two key variants within this method, namely RKDF5(4) and ERKDGF5(4), with orders five and four, respectively. Our approach is strategically designed, with the higher-order method ensuring exceptional accuracy, and …

Go to article

Robust-Fragile Watermarking Using Integer Wavelet Transform For Tampered Detection And Copyright Protection, Hendra Budi, Ferda Ernawan, Agit Amrullah Nov 2024

Robust-Fragile Watermarking Using Integer Wavelet Transform For Tampered Detection And Copyright Protection, Hendra Budi, Ferda Ernawan, Agit Amrullah

Iraqi Journal for Computer Science and Mathematics

The use of the internet and advanced technologies enables the distribution of information and data through diverse digital images. Nevertheless, this ease of use comes with the potential risk of data misappropriation, encompassing unauthorized alterations, duplications, and reproductions of digital images. Ongoing research is being conducted in the field of watermarking to enhance the capabilities of protecting digital images. The objective of this work is to enhance the strength of copyright protection and the vulnerability of watermarking for authentication in digital images by utilizing the Integer Wavelet Transform (IWT). The watermarking approach involves embedding a durable watermark in the red …

Go to article

Modelling Security Factors Influencing E-Wallet Adoption In Malaysia, Adi Badiozaman Ruhani, Nur Suhaili Mansor, Hapini Awang, Mohamad Fadli Zolkipli, Khuzairi Mohd Zaini, Abderrahmane Benlahcene Nov 2024

Modelling Security Factors Influencing E-Wallet Adoption In Malaysia, Adi Badiozaman Ruhani, Nur Suhaili Mansor, Hapini Awang, Mohamad Fadli Zolkipli, Khuzairi Mohd Zaini, Abderrahmane Benlahcene

Iraqi Journal for Computer Science and Mathematics

This study aims to develop an effective framework that addresses the security concerns and user behavior related to e-wallet adoption. The research methodology entails quantitative data collection through a literature review and surveys of e-wallet users using convenience sampling, and the proposed model is tested using the Partial Least Squares Structural Equation Modelling (PLS-SEM). The proposed security factors in this study include phone stolen protection, app security performance, secure authentication, data privacy protection, secure online transaction and banking info security. The online survey form was disseminated to Malaysian citizens, and 186 respondents participated in the survey. Using a two-step approach, …

Go to article

First Prev Next Last