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 79261 - 79290 of 714480

Full-Text Articles in Entire DC Network

Duality In A Class Of Vector Ko ̈ The-Orlicz Spaces, Mohamed Ahmed Sidaty Jul 2023

Duality In A Class Of Vector Ko ̈ The-Orlicz Spaces, Mohamed Ahmed Sidaty

Applied Mathematics & Information Sciences

We deal with a complete normed space $E$, a scalar sequence space $\lambda$, and an Orlicz mapping $M$ to introduce and study some properties of the spaces $\lambda_M\{E\}$ of all $E-$valued sequences that are absolutely $(\lambda, M)$-summable. Denote by $\lambda_M\{E\}_{r}$ the subspace of $\lambda_M\{E\}$ whose elements are AK-sequences. We describe the continuous linear forms on this space in term of $E^*-$valued sequences that are absolutely $(\lambda^*, N)$-summable, where $N$ is the Orlicz mapping complement of $M$.

Go to article

Spectrum Of A Perturbed Harmonic Oscillator, K. Dosmagulova, B. Kanguzhin, Z. Fazullin Jul 2023

Spectrum Of A Perturbed Harmonic Oscillator, K. Dosmagulova, B. Kanguzhin, Z. Fazullin

Applied Mathematics & Information Sciences

In this article the spectrum of a perturbed harmonic oscillator is calculated. New correctly solvable boundary value problems are used for the corresponding harmonic oscillator on a two-dimensional punctured sphere. The eigenfunctions of the harmonic oscillator are studied in detail and a set of elements from the obtained functionals is introduced.

Go to article

Optimizing Reliability Of Flow Networks Using Rwga Subject To Total Capacity Constraint, S. Alkhalaf, H. S. Ahmed, M. E. Hussein, M. R. Hassan, A. Mikhaylov, E. Mahmoud Jul 2023

Optimizing Reliability Of Flow Networks Using Rwga Subject To Total Capacity Constraint, S. Alkhalaf, H. S. Ahmed, M. E. Hussein, M. R. Hassan, A. Mikhaylov, E. Mahmoud

Applied Mathematics & Information Sciences

The study of capacity assignment problem for multistate network is an essential and helps in finding the best set of assigned capacities with maximum system reliability. Analyzing the network structure with respect to the system reliability helps in determining the critical nodes. Sufficient capacity should be assigned for each node in the flow network to keep the network operating normally in the case of failure due to maintenance at one or more nodes. Capacity assignment problem aims to decrease the number of critical nodes by searching for the minimum capacity with considering system reliability constraint, it is known as NP-hard …

Go to article

Deep Transfer Learning And Image Segmentation For Fruit Recognition, Ahmad Odat, Mohammad Alodat Jul 2023

Deep Transfer Learning And Image Segmentation For Fruit Recognition, Ahmad Odat, Mohammad Alodat

Applied Mathematics & Information Sciences

This paper is structured in such a way that you can able to develop the fruit recognition web app from scratch with Machine Learning & Flask. The primary objective of this research is to identify plant products in order to estimate their pricing without having to rely on recollection to enabling retail market administration and enhancing the shopping experience for customers. Methods and techniques used in this research was machine learning, deep learning, data analysis, processing, and interpretation, depending on Experimental Methods, Survey Research, Meta-Analysis, and Data Mining to provide a comprehensive and robust analysis of the data. Convolutional neural …

Go to article

Binary Classification With Supervised Machine Learning: A Comparative Analysis, Yassine El Aachab, Mohammed Kaicer, Youness Jouilil Jul 2023

Binary Classification With Supervised Machine Learning: A Comparative Analysis, Yassine El Aachab, Mohammed Kaicer, Youness Jouilil

Applied Mathematics & Information Sciences

Over the past decade, Machine Learning has become a practical approach for simulating and examining social issues, notably poverty, education, and health diseases. This study compares the performance of various machine learning methods especially Support Vector Machines (SVM), Decision Trees (DT), and Logistic Regression (LR) in predicting poverty status. For this purpose, the present contribution employs a micro dataset which has been extracted from the National Survey on Household Consumption and Expenditure 2013/2014. Several evaluation metrics such as accuracy, precision, Cohen’s Kappa statistic, F1-score, and recall are used to evaluate the models’ outputs. The R results indicate that the three …

Go to article

New Perspectives On Predicting Economic Growth In The Presence Of Multicollinearity And Outliers, A. Ebiwonjumi, R. Chifurira, K. Chinhamu Jul 2023

New Perspectives On Predicting Economic Growth In The Presence Of Multicollinearity And Outliers, A. Ebiwonjumi, R. Chifurira, K. Chinhamu

Applied Mathematics & Information Sciences

Nigeria’s economic growth is a tremendous concern to policymakers, economics and scholars because of the inherent challenges of economic characteristics, consequences and contradictions. The Central Bank of Nigeria has implemented several policies such as tightening of monetary policy rate and heavy borrowing for infrastructural development to stimulate economic growth in the past few years. The prediction of economic growth from economic variables poses a challenge due to collinearity among the economic variables. In this study, we predict Nigerian economic growth using internal and external debt, interest and exchange rate as well as trade openness in the presence of multicollinearity and …

Go to article

On A Generalized Fractional Integral And Related Methodological Remarks, Miguel Vivas-Cortez, Juan E. Na ́Poles Valde ́S, Shilpi Jain, Praveen Agarwal Jul 2023

On A Generalized Fractional Integral And Related Methodological Remarks, Miguel Vivas-Cortez, Juan E. Na ́Poles Valde ́S, Shilpi Jain, Praveen Agarwal

Applied Mathematics & Information Sciences

In this paper, we define a generalized fractional integral of order α which are the natural extension of the newly defined k-fractional conformable integrals and they can be reduced to other fractional integrals. Later, the existence of such k-generalized integrals is proved. Finally, discuses some future possibilities.

Go to article

Creation Of A Cryptosystem That Satisfies Shannon’S Perfect Secrecy Condition Based On The Lieb-Liniger Model, Mukhayo Yunusovna Rasulova Jul 2023

Creation Of A Cryptosystem That Satisfies Shannon’S Perfect Secrecy Condition Based On The Lieb-Liniger Model, Mukhayo Yunusovna Rasulova

Applied Mathematics & Information Sciences

The paper proposes the Lieb-Liniger model of statistical mechanics for creating a cryptosystem that satisfies the Shannon perfect secrecy condition.

Go to article

Certain Integral Inequalities Associated With The Strongly Harmonic H−Convex Functions, Miguel Vivas-Cortez, Praveen Agarwal, Jorge E. Herna ́Ndez H., Shaher Momani Jul 2023

Certain Integral Inequalities Associated With The Strongly Harmonic H−Convex Functions, Miguel Vivas-Cortez, Praveen Agarwal, Jorge E. Herna ́Ndez H., Shaher Momani

Applied Mathematics & Information Sciences

We study the concept of strongly harmonically h-convex functions and some examples and properties of them. Here, we develop few inequalities for this new class of functions, specifically these inequalities are: Hermite-Hadamard and Fejer. In addition, we establish some applications of our results to special media of non zero and non negative real numbers.

Go to article

Concerning The Inequality Of Hermite-Hadamard Generalized, Miguel Vivas-Cortez, Juan E. Na ́Poles Valde ́S, Praveen Agarwal, Jorge Eliecer Herna ́Ndez Jul 2023

Concerning The Inequality Of Hermite-Hadamard Generalized, Miguel Vivas-Cortez, Juan E. Na ́Poles Valde ́S, Praveen Agarwal, Jorge Eliecer Herna ́Ndez

Applied Mathematics & Information Sciences

n this paper, we present new extensions of the Hermite-Hadamard type generalized inequalities for convex functions, within the framework of a generalized operator integral. Results are general in nature.

Go to article

Structure A Public-Key Cryptosystem Based On Hss Algebra, Hiba Shakir Salman, Hassan Rashed Yassein Jul 2023

Structure A Public-Key Cryptosystem Based On Hss Algebra, Hiba Shakir Salman, Hassan Rashed Yassein

Applied Mathematics & Information Sciences

NTRU (Number theory research unit) is a public key cryptosystem that uses lattice-based cryptography. It is more resistant to assaults than other commonly used public-key cryptosystems, and its performance has been proven to be much better. This study introduces TRUHIB, a commutative variation of the NTRU, as a novel multidimensional public-key cryptosystem. It operates using a novel mathematical structure that consists of two public keys and five private keys. in a algebra called HSS algebra. This new structure has improved the security and sophistication of the public key cryptosystem.

Go to article

Assessing The Waste Management Practices In Stone And Marble Industry In Palestine: Practical Implications, Ahmad Ramahi, Yahya Saleh, Ruaa Binsaddig, Rahaf Ghozzi, Bara’ Abu Baker, Abdelraheem Khateeb Jul 2023

Assessing The Waste Management Practices In Stone And Marble Industry In Palestine: Practical Implications, Ahmad Ramahi, Yahya Saleh, Ruaa Binsaddig, Rahaf Ghozzi, Bara’ Abu Baker, Abdelraheem Khateeb

Applied Mathematics & Information Sciences

This paper aims at assessing the current status of solid waste management practices in stone and marble industry (SMI) facilities in Palestine. To this end, mixed qualitative and quantitative approaches have been adopted. Morse specifically, both field visits and semi-structured interviews as well as questionnaires have been employed to gather needed data from a randomly selected sample of Palestinian SMI faculties. Such data include facilities’ demographics, their infrastructure and production inputs, solid and liquid waste estimated quantities as well as the current waste management practice. Statistical analyses show that SMI facilities are highly heterogeneous in their profiles and practices. Besides, …

Go to article

Modelling And Optimal Control Strategies Of Corruption Dynamics, Temesgen Duressa Keno, Fekadu Mosisa Legesse Jul 2023

Modelling And Optimal Control Strategies Of Corruption Dynamics, Temesgen Duressa Keno, Fekadu Mosisa Legesse

Applied Mathematics & Information Sciences

In this study, we presented a non linear deterministic corruption transmission dynamics using optimal control analysis and cost effective strategies. To begin, we demonstrated that in a given set of initial conditions, the model solution is non-negative and bounded. A basic reproductive number is calculated using the corruption-free equilibrium point via the next generation matrix. The linearization and the Lyapunov function are then used to demonstrate how corruption-free equilibrium is both locally and globally stable. The corruption-free equilibrium point is asymptotically stable both locally and globally if the basic reproduction number is less than one; otherwise, an endemic corruption equilibrium …

Go to article

The Double Ara-Formable Transform With Applications, Rania Saadeh, Motasem M. Mustafa Jul 2023

The Double Ara-Formable Transform With Applications, Rania Saadeh, Motasem M. Mustafa

Applied Mathematics & Information Sciences

The main goal of this work is to introduce a new double transform named the double ARA-Formable transform (DARA- FT) we introduce the application of the new double transform to various fundamental functions and master properties. Additionally, we state and prove the convolution and existence theorems. Subsequently, by utilizing these findings, different kinds of partial differential equations (PDEs) are solved. We establish novel methods for resolving families of PDEs. With the latter, one can obtain precise answers to some well-known PDEs, including the telegraph equation, the advection-diffusion equation, the Klein-Gordon equation, and others. The results demonstrate the double ARA-Formable transform …

Go to article

Optimal Control Strategy On Mathematical Model For The Dynamics Of Mastitis, Basem Abu Izneid, Eshetu Dadi Gurmu, Legesse Lemecha Obsu, Abdisa Shiferaw Melese, Mohammad Kanan, Ahmad Al-Qerem Jul 2023

Optimal Control Strategy On Mathematical Model For The Dynamics Of Mastitis, Basem Abu Izneid, Eshetu Dadi Gurmu, Legesse Lemecha Obsu, Abdisa Shiferaw Melese, Mohammad Kanan, Ahmad Al-Qerem

Applied Mathematics & Information Sciences

Inthisstudy,anonlinearmathematicalmodelforthetransmissiondynamicsofmastitisdiseasesisformulatedandanalyzed. The local and global stability analysis of mastitis-free equilibrium and endemic equilibrium is obtained using the stability theory of differential equation. It was established that the mastitis-free equilibrium is locally stable if the basic reproduction number is less than unity. The endemic equilibrium, which exists only when the basic reproduction number is greater than unity, is globally asymptotically stable. Sensitivity analysis of the reproduction number suggested that the concentration of bacteria in the environment has a high impact on the dynamics of mastitis. Furthermore, an optimal control problem is formulated by applying Pontryagin’s minimum principle with three control strategies, …

Go to article

Numerical Design And Optimization Of Near-Infrared Band- Pass Filter, Hafiza Syeeda Faiza, Ghazi Aman Nowsherwan, Basem A. Abu Izneid, Muhammad Azhar, Saira Riaz, Syed Sajjad Hussain, Saira Ikram, Mohsin Khan, Shahzad Naseem, Mohammad Kanan, Ibrahim M. Mansour Jul 2023

Numerical Design And Optimization Of Near-Infrared Band- Pass Filter, Hafiza Syeeda Faiza, Ghazi Aman Nowsherwan, Basem A. Abu Izneid, Muhammad Azhar, Saira Riaz, Syed Sajjad Hussain, Saira Ikram, Mohsin Khan, Shahzad Naseem, Mohammad Kanan, Ibrahim M. Mansour

Applied Mathematics & Information Sciences

Band-pass filters functioning in the near-infrared (IR) range are desired for laser technology, multi-photon fluorescence, and IR imaging applications. In this study, we have designed four band-pass filters in the near Infrared spectrum (900-1200 nm) by vertically stacking different high and low-index materials. The band-pass filters are modelled by Essential Macleod software with different thicknesses. The layer’s thicknesses were optimized in such a way to provide the negligible reflectance and maximum transmission on the front side. All the simulated band-pass filters exhibit high transmittance, but TiO2/Al2O3 and Ta2O5/Al2O3 outperforms other modelled structure in terms of performance due to the better …

Go to article

Ara-Sumudu Method For Solving Volterra Partial Integro-Differential Equations, Ahmad Qazza, Rania Saadeh, Shams A. Ahmed Jul 2023

Ara-Sumudu Method For Solving Volterra Partial Integro-Differential Equations, Ahmad Qazza, Rania Saadeh, Shams A. Ahmed

Applied Mathematics & Information Sciences

The major goal of the study, is investigate solving various kinds of Volterra integral equations via via a new method. This article presents a novel double ARA- Sumudu (ARA-S) transformation . this novel approach is implemented to handle some integral equations and partial integro-differential equations. Fundamental characteristics and results related to double ARA-S transformation are investigated including the existence, inverse derivative and the convolution property. Furthermore, to prove the applicability of the presented transform, we discuss the solution of some examples on integral equations using double ARA-S transformation.

Go to article

Nuclear Magnetic Resonance Studies Of Potential Environmental Contaminants Interacting With Dna, Anna Hopkins, Leah B. Casabianca Jul 2023

Nuclear Magnetic Resonance Studies Of Potential Environmental Contaminants Interacting With Dna, Anna Hopkins, Leah B. Casabianca

Chemistry Summer Research Program

No abstract provided.

Go to article

Big Data For A Deep Problem: Exploring Natural Deep Eutectic Solvent (Nades) Properties Through Rdkit And Data Analytics, Grayson Weavil, Lucas B. Ayres, Carlos D. Garcia Jul 2023

Big Data For A Deep Problem: Exploring Natural Deep Eutectic Solvent (Nades) Properties Through Rdkit And Data Analytics, Grayson Weavil, Lucas B. Ayres, Carlos D. Garcia

Chemistry Summer Research Program

No abstract provided.

Go to article

The Dynamic Shift To Green Chemistry: Investigating The Spectral Behavior Of Natural Deep Eutectic Solvents (Nades) And Their Performance As Maldi-Tof Matrices, Grayson Weavil, Lucas B. Ayres, Miguel Jose-Bueno, Rakesh Sachdeva, Carlos D. Garcia Jul 2023

The Dynamic Shift To Green Chemistry: Investigating The Spectral Behavior Of Natural Deep Eutectic Solvents (Nades) And Their Performance As Maldi-Tof Matrices, Grayson Weavil, Lucas B. Ayres, Miguel Jose-Bueno, Rakesh Sachdeva, Carlos D. Garcia

Chemistry Summer Research Program

No abstract provided.

Go to article

Investigation Of Vitamin D Metabolites Using Different Ion Mobility-Mass Spectrometry (Im-Ms) Methods, Selena Kingsley, Christopher D. Chouinard Jul 2023

Investigation Of Vitamin D Metabolites Using Different Ion Mobility-Mass Spectrometry (Im-Ms) Methods, Selena Kingsley, Christopher D. Chouinard

Chemistry Summer Research Program

No abstract provided.

Go to article

Prediction Of Dislocation Densities In Pure Metals And Alloys, J. Garey Weaver, Enrique Martinez Jul 2023

Prediction Of Dislocation Densities In Pure Metals And Alloys, J. Garey Weaver, Enrique Martinez

Chemistry Summer Research Program

No abstract provided.

Go to article

Supramolecular Π-Donor/Acceptor Arrays Based On Metal-Organic Cage Inclusion Complexes, Sean Hannigan, Evan Thibodeaux, Sourav Saha Jul 2023

Supramolecular Π-Donor/Acceptor Arrays Based On Metal-Organic Cage Inclusion Complexes, Sean Hannigan, Evan Thibodeaux, Sourav Saha

Chemistry Summer Research Program

No abstract provided.

Go to article

Measurement Of Protein And Drug Adsorption On Nanoparticles By Competition With Dyes, Ashleigh Carroll, Jason Mcneill Jul 2023

Measurement Of Protein And Drug Adsorption On Nanoparticles By Competition With Dyes, Ashleigh Carroll, Jason Mcneill

Chemistry Summer Research Program

No abstract provided.

Go to article

Using Alginate Beads Modified With Graphite As An Effective Electrode, Madeline Mchugh, Barbara G. S. Guinati, Carlos D. Garcia Jul 2023

Using Alginate Beads Modified With Graphite As An Effective Electrode, Madeline Mchugh, Barbara G. S. Guinati, Carlos D. Garcia

Chemistry Summer Research Program

No abstract provided.

Go to article

Polymersomes As Chemotherapeutic Agents For Non-Invasive Treatment Of Glioblastoma, Tj Fletcher, Molli Garifo, Jessica Larsen, Jessica Larsen Jul 2023

Polymersomes As Chemotherapeutic Agents For Non-Invasive Treatment Of Glioblastoma, Tj Fletcher, Molli Garifo, Jessica Larsen, Jessica Larsen

Chemistry Summer Research Program

No abstract provided.

Go to article

Accessing Rare Heterocycles From Alkynyl Ethers And Nitrogenous Electrophiles & The Development Of Small Molecule Inhibitors Against Naegleria Fowleri Infection, James W. D. Morris, Samuel Kwain, Daniel C. Whitehead Jul 2023

Accessing Rare Heterocycles From Alkynyl Ethers And Nitrogenous Electrophiles & The Development Of Small Molecule Inhibitors Against Naegleria Fowleri Infection, James W. D. Morris, Samuel Kwain, Daniel C. Whitehead

Chemistry Summer Research Program

No abstract provided.

Go to article

Combining Alginate Beads With Methylene To Create A Biosensor To Assess The Quality Of Milk, Vivien Zheng, Barbara Guinati, Carlos D. Garcia Jul 2023

Combining Alginate Beads With Methylene To Create A Biosensor To Assess The Quality Of Milk, Vivien Zheng, Barbara Guinati, Carlos D. Garcia

Chemistry Summer Research Program

No abstract provided.

Go to article

Multi-Catalysis: Trifluoromethylation Of Amides, Ethan Apsley, Jason Wilt, Giovani Gutierrez, Byoungmoo Kim Jul 2023

Multi-Catalysis: Trifluoromethylation Of Amides, Ethan Apsley, Jason Wilt, Giovani Gutierrez, Byoungmoo Kim

Chemistry Summer Research Program

No abstract provided.

Go to article

A Universal Unbiased Method For Classification From Aggregate Observations, Zixi Wei, Lei Feng, Bo Han, Tongliang Liu, Gang Niu, Xiaofeng Zhu, Heng Tao Shen Jul 2023

A Universal Unbiased Method For Classification From Aggregate Observations, Zixi Wei, Lei Feng, Bo Han, Tongliang Liu, Gang Niu, Xiaofeng Zhu, Heng Tao Shen

Machine Learning Faculty Publications

In conventional supervised classification, true labels are required for individual instances. However, it could be prohibitive to collect the true labels for individual instances, due to privacy concerns or unaffordable annotation costs. This motivates the study on classification from aggregate observations (CFAO), where the supervision is provided to groups of instances, instead of individual instances. CFAO is a generalized learning framework that contains various learning problems, such as multiple-instance learning and learning from label proportions. The goal of this paper is to present a novel universal method of CFAO, which holds an unbiased estimator of the classification risk for arbitrary …

Go to article

First Prev Next Last