Author name: siavosh kaviani

Professor Siavosh Kaviani was born in 1961 in Tehran. He had a professorship. He holds a Ph.D. in Software Engineering from the QL University of Software Development Methodology and an honorary Ph.D. from the University of Chelsea.

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SEO: A unique approach to enhance the site rank by implementing Efficient Keywords Scheme

Abstract In search engine optimization individual website pages are optimized through precise keywords, while the websites are optimized using a backlink watch. The existing literature has no proper guidelines for […]

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Multidisciplinary Approach of Artificial Intelligence over Medical Imaging: A Review, Challenges, Recent Opportunities for Research

Multidisciplinary Approach of Artificial Intelligence over Medical Imaging: A Review, Challenges, Recent Opportunities for Research

Abstract The multidisciplinary approach of artificial intelligence is revolutionizing the traditional technologies used in medical image computing, radiology imaging, medical diagnoses, and features based disease identification [1], [2]. In this

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Computer-aided simulation and exergy analysis of TiO2 nanoparticles production via green chemistry

Computer-aided simulation and exergy analysis of TiO2 nanoparticles production via green chemistry

Abstract Background: The production of photocatalytic nanoparticles such as TiO2 has received increasing interest for biomedical and wastewater treatment applications. However, the conventional synthesis of such materials faces several environmental

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A Reference Architecture for Big Data Systems in the National Security Domain

A Reference Architecture for Big Data Systems in the National Security Domain

ABSTRACT Acquirers, system builders, and other stakeholders of big data systems need to define requirements, develop and evaluate solutions, and integrate systems together. A reference architecture enables these software engineering

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Color measurement of plastics - From compounding via pelletizing, up to injection molding and extrusion

Color measurement of plastics – From compounding via pelletizing, up to injection molding and extrusion

Abstract The typical offline color measurement on injection molded or pressed specimens is a very expensive and time-consuming process. In order to optimize productivity and quality, it is desirable to

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Airborne Nanoparticle Release Associated with the Compounding of Nanocomposites using Nanoalumina as Fillers

Airborne Nanoparticle Release Associated with the Compounding of Nanocomposites using Nanoalumina as Fillers

Abstract Twin-screw extrusion is the preferred process to commercially produce nanocomposites by compounding the nanoparticles and polymer melts. Polymer nanocomposites, which contain nanoparticles dispersed in a polymer matrix, provide improved

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COVID-19 Future Forecasting Using Supervised Machine Learning Models

COVID-19 Future Forecasting Using Supervised Machine Learning Models

Abstract Machine learning (ML) based forecasting mechanisms have proved their significance to anticipate in perioperative outcomes to improve the decision making on the future course of actions. The ML models

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