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.

Detection and Tracking Contagion using IoT-Edge Technologies: Confronting COVID-19 Pandemic

Detection and Tracking Contagion using IoT-Edge Technologies: Confronting COVID-19 Pandemic

Abstract The ongoing pandemic of Corona-Virus (COVID-19) induced by the coming forth category of SARS-CoV-2, has terrified worldwide human health. Primarily, COVID-19 challenges can be categorized into (a) way of […]

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Blockchain-Envisioned Softwarized Multi-Swarming UAVs to Tackle COVID-I9 Situations

Blockchain-Envisioned Softwarized Multi-Swarming UAVs to Tackle COVID-I9 Situations

Abstract With the spread of novel coronavirus, global health concerns have increased as it has flattened the curve of mortality worldwide. To handle such containment of the disease, multi-swarm Unmanned

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Robotic Specialization in Autonomous RoboticStructural Assembly

Robotic Specialization in Autonomous Robotic Structural Assembly

Abstract Robotic in-space assembly of large space structures is a long-term NASA goal to reduce launch costs and enable larger-scale missions. Recently, researchers have proposed using discrete lattice building blocks

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Improving the Quality of Electronic Cleansing of Colorectal CT Images Using a Hybrid Method

Improving the Quality of Electronic Cleansing of Colorectal CT Images Using a Hybrid Method

Abstract Introduction: Colorectal cancer, as one of the most important fatal cancers, is caused by the lack of timely diagnosis of colorectal polyps. Presently, because of the advancements in CT

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BUSINESS INTELLIGENCE AND ANALYTICS: FROM BIG DATA TO BIG IMPACT

BUSINESS INTELLIGENCE AND ANALYTICS: FROM BIG DATA TO BIG IMPACT

Abstract Business intelligence and analytics (BI&A) has emerged as an important area of study for both practitioners and researchers, reflecting the magnitude and impact of data-related problems to be solved

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Deep clustering of protein folding simulations

Deep clustering of protein folding simulations

Abstract We examine the problem of clustering bio-molecular simulations using deep learning techniques. Since bio-molecular simulation datasets are inherently high dimensional, it is often necessary to build low dimensional representations

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Recommender in AI-enhanced Learning: An Assessment from the Perspective of Instructional Design

Recommender in AI-enhanced Learning: An Assessment from the Perspective of Instructional Design

Abstract As tools for AI-enhanced human learning, recommender systems support learners in finding materials and sequencing learning paths. The paper explores how these recommenders improve the learning experience from a

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Covid-19 vaccination

17,01,2021 Covid-19 vaccination in the world

With the start of the distribution of Corona vaccine in different countries of the world, many high-risk groups including medical staff and the elderly in different countries of the world as well as eight countries in the region including Saudi Arabia, UAE, Kuwait, Bahrain, Israel, Qatar, Oman and Turkey. They have received a dose of this vaccine.

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Recognizing Art Style Automatically in painting with deep learning

Recognizing Art Style Automatically in Painting with Deep Learning

Abstract The artistic style (or artistic movement) of a painting is a rich descriptor that captures both visual and historical information about the painting. Correctly identifying the artistic style of

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