K-Banhatti Invariants Empowered Topological Investigation of Bridge Networks

Hamid, Khalid; Iqbal, Muhammad Waseem; Arif, Erssa; Mahmood, Yasir; Khan, Ahmad Salman; Kama, Nazri; Azmi, Azri; Ikram, Atif

doi:10.32604/cmc.2022.030927

Cited by 9 publications

(10 citation statements)

References 32 publications

(29 reference statements)

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“…This concept has been covered in a lot of published literature. The literature can be enhanced with cloud and machine learning areas [13][14][15][16][17]. There exist different related studies which are close to the current research work.…”

Section: Related Workmentioning

confidence: 55%

Offshore Software Maintenance Outsourcing Process Model Validation: A Case Study Approach

Ikram¹,

Jalil²,

Ngah³

et al. 2023

Computers, Materials &Amp; Continua

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The successful execution and management of Offshore Software Maintenance Outsourcing (OSMO) can be very beneficial for OSMO vendors and the OSMO client. Although a lot of research on software outsourcing is going on, most of the existing literature on offshore outsourcing deals with the outsourcing of software development only. Several frameworks have been developed focusing on guiding software system managers concerning offshore software outsourcing. However, none of these studies delivered comprehensive guidelines for managing the whole process of OSMO. There is a considerable lack of research working on managing OSMO from a vendor's perspective. Therefore, to find the best practices for managing an OSMO process, it is necessary to further investigate such complex and multifaceted phenomena from the vendor's perspective. This study validated the preliminary OSMO process model via a case study research approach. The results showed that the OSMO process model is applicable in an industrial setting with few changes. The industrial data collected during the case study enabled this paper to extend the preliminary OSMO process model. The refined version of the OSMO process model has four major phases including (i) Project Assessment, (ii) SLA (iii) Execution, and (iv) Risk.

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Section: Related Workmentioning

confidence: 55%

Offshore Software Maintenance Outsourcing Process Model Validation: A Case Study Approach

Ikram¹,

Jalil²,

Ngah³

et al. 2023

Computers, Materials &Amp; Continua

View full text Add to dashboard Cite

show abstract

“…The concerning results in the form of formulas will compare with existing results. These deduced results will apply to many other networks in the fields of computer networks, processor interconnection networks, power interconnection networks, parallel computing, PV cells, intelligent systems and puzzle games afterward [28]. The methodology diagram also shows the step-by-step flow of the study.…”

Section: Methodsmentioning

confidence: 79%

Intelligent Systems and Photovoltaic Cells Empowered Topologically by Sudoku Networks

Hamid¹,

Iqbal²,

Ashraf³

et al. 2023

Computers, Materials &Amp; Continua

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A graph invariant is a number that can be easily and uniquely calculated through a graph. Recently, part of mathematical graph invariants has been portrayed and utilized for relationship examination. Nevertheless, no reliable appraisal has been embraced to pick, how much these invariants are associated with a network graph in interconnection networks of various fields of computer science, physics, and chemistry. In this paper, the study talks about sudoku networks will be networks of fractal nature having some applications in computer science like sudoku puzzle game, intelligent systems, Local area network (LAN) development and parallel processors interconnections, music composition creation, physics like power generation interconnections, Photovoltaic (PV) cells and chemistry, synthesis of chemical compounds. These networks are generally utilized in disorder, fractals, recursive groupings, and complex frameworks. Our outcomes are the normal speculations of currently accessible outcomes for specific classes of such kinds of networks of two unmistakable sorts with two invariants K-banhatti sombor (KBSO) invariants, Irregularity sombor (ISO) index, Contraharmonic-quadratic invariants (CQIs) and dharwad invariants with their reduced forms. The study solved the Sudoku network used in mentioned systems to improve the performance and find irregularities present in them. The calculated outcomes can be utilized for the modeling, scalability, introduction of new architectures of sudoku puzzle games, intelligent systems, PV cells, interconnection networks, chemical compounds, and extremely huge scope in very large-scale integrated circuits (VLSI) of processors.

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“…The paper goes on to describe existing practices in architecting ML-based software systems and highlights the future directions to develop improved approaches for architecting such systems . ) and has become a significant public health concern (Hamid, Aslam, et al, 2024). Castiglioni and his colleagues described the application of a deep learning model, specifically a convolutional neural network (CNN), to analyze chest X-ray images of patients suspected of having COVID-19.…”

Section: Software Architecture and Machine Learningmentioning

confidence: 99%

Analyzing the Software Architecture of ML-based Covid-19 Detection System: Future Challenges and Opportunities

Sabir,

Hassan,

Ittifaq

et al. 2024

BBE

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Two major study topics have emerged because of the challenges in software architecture and ML working together, as modern software systems produce a vast amount of data that is supported particularly by machine learning (ML), and artificial intelligence (AI) to produce useful insights. Software architecture for machine learning systems that primarily concerned with creating architectural methods for creating ML systems more effectively; ii) ML for Software architectures is concerned with creating ML methods for better-developing software systems. This study focuses on the ML-based software systems' architecture to highlight the many architectural methods currently in use. To more clearly identify a set of acceptable standards for designing ML-based software systems, we explore four crucial components of software architecture in this work that demand the focus of ML and software developers. These areas are based on an ML-based software system for addressing challenges in the COVID-19 detecting system.

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K-Banhatti Invariants Empowered Topological Investigation of Bridge Networks

Cited by 9 publications

References 32 publications

Offshore Software Maintenance Outsourcing Process Model Validation: A Case Study Approach

Offshore Software Maintenance Outsourcing Process Model Validation: A Case Study Approach

Intelligent Systems and Photovoltaic Cells Empowered Topologically by Sudoku Networks

Analyzing the Software Architecture of ML-based Covid-19 Detection System: Future Challenges and Opportunities

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