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.

Wildfire Segmentation on Satellite Images using Deep Learning

Wildfire Segmentation on Satellite Images using Deep Learning

Abstract Deep learning and convolutional neural network technologies are increasingly used in the problems of analysis, segmentation, and recognition of objects in images. In this article, a convolutional neural network

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DEEP LEARNING BASED SEGMENTATION OF BODY PARTS IN CT LOCALIZERS ANDAPPLICATION TO SCAN PLANNING

Deep Learning Based Segmentation of Body Parts in CT Localizers and Application to Scan Planning

Abstract in this paper, we propose a deep learning approach for the segmentation of body parts in computer tomography (CT) localizer images. Such images pose dif[1]culties in the automatic image

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A Rapid, Accurate and Machine-Agnostic Segmentation and Quantification Method for CT-Based COVID-19 Diagnosis

A Rapid, Accurate and Machine-Agnostic Segmentation and Quantification Method for CT-Based COVID-19 Diagnosis

Abstract COVID-19 has caused a global pandemic and become the most urgent threat to the entire world. Tremendous efforts and resources have been invested in developing diagnosis, prognosis and treatment

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Work-in-Progress—The Sudden Requirement to Work from Home Due to COVID-19 Pandemic Restrictions: Attitudes and Changes in Perceived Value of Physical and Immersive Workspaces —

Work-in-Progress—The Sudden Requirement to Work from Home Due to COVID-19 Pandemic Restrictions: Attitudes and Changes in Perceived Value of Physical and Immersive Workspaces

Abstract What begins as an undifferentiated space becomes a place as we get to know it better and endow it with value, space is freedom [1]. The context for this

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Application of artificial intelligence and Zen space in modern landscape design and topology optimization

Application of artificial intelligence and Zen space in modern landscape design and topology optimization

Abstract Application of artificial intelligence and Zen space in modern landscape design and topology optimization is studied in this manuscript. With the rapid development of the big data technology, simple

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Data Sentinel: A Declarative Production-Scale DataValidation Platform

Data Sentinel: A Declarative Production-Scale Data Validation Platform

Abstract Many organizations process big data for important business operations and decisions. Hence, data quality greatly affects their success. Data quality problems continue to be widespread, costing US businesses an

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Non-smooth Projected Primal-Dual DynamicalApproach to Solve the Extended Fermat-TorricelliProblem

Non-smooth Projected Primal-Dual Dynamical Approach to Solve the Extended Fermat-Torricelli Problem

Abstract The problem of finding a point inRn, from which the sum-of-distances to a finite number of non-empty, closed, and convex sets is minimum is called the generalized Fermat-Torricelli Problem

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Control Library modification to improve robot interaction with its environment

Control Library modification to improve robot interaction with its environment

Abstract The Poppy Project aims to offer a platform accessible to beginners and experts, allowing robots to be used in multiple fields, including research and teaching. During the work with

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