Karlo Abnoosian

Karlo Abnoosian
Iran University of Science and Technology · School of Mathematics

Research Assistant

About

23
Publications
3,556
Reads
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27
Citations
Citations since 2016
22 Research Items
25 Citations
201620172018201920202021202202468101214
201620172018201920202021202202468101214
201620172018201920202021202202468101214
201620172018201920202021202202468101214
Introduction
Karlo Abnoosian currently works at the Faculty of Mathematics and Statistics, Islamic Azad University, Science and Research Branch, Tehran as a PhD Candidate, MSc of Computer Science at AmirKabir University of Technology, Tehran. He is also a Research Assistant and Visiting Lecturer at Iran University of Science and Technology and Islamic Azad University (IZU). His research interests are Machine Learning, Data Science, Big Data Analytics, Data Mining and Cloud Computing.
Additional affiliations
February 2020 - present
Iran University of Science and Technology
Position
  • Research Assistant
September 2018 - March 2020
Islamic Azad University Tehran Science and Research Branch
Position
  • Lecturer
Education
September 2016 - September 2020
September 2012 - April 2014
Amirkabir University of Technology
Field of study
  • computer science

Publications

Publications (23)
Article
Computation should develop and become more powerful and flexible as a result of the expansion of apps and the incorporation of novel consumers into the realm of computing systems. The potential of live virtual machine (VM) migration among various clouds is one of the growing study fields in cloud computing. It can be more important when the cloud s...
Article
Cloud data centers do not completely use their resources, resulting in resource underutilization. Cloud computing companies primarily leverage virtualization technologies to supply cost‐effective service provision. In order to optimize cloud performance, virtual machines (VMs) must be placed among physical machines (PMs). When it comes to concentra...
Article
Full-text available
A new interesting topic in the Internet application is the Internet of Things (IoT) . Using novel technologies is a common subject, but not that much in the use of service management. We have found only a few studies regarding service management mechanisms discussion in the IoT. So, we have investigated and scrutinized the use of service management...
Article
Full-text available
Cloud computing is a rapidly evolving computational technology. It is a distributed computational system that offers dynamically scaled computational resources, such as processing power, storage, and applications, delivered as a service through the Internet. Virtual machines (VMs) allocation is known as one of the most significant problems in cloud...
Article
Cloud computing (CC) provides dynamic hiring of server abilities as scalable virtualized services to end‐users. However, data center hosting wastes massive amounts of energy resulting in high operational costs and carbon footprints. Also, virtualization is one of CC's main features, and physical resources are delivered by virtual machine (VM). Ther...
Article
Internet of Things (IoT) is utilized as an emerging sample for defining the future of technology in which physical items like sensors, radio‐frequency identification tags, mobile phones, actuators, and so on, can have interaction together and have cooperation with their neighbors for obtaining joint objectives. The performance of the deployed tasks...
Article
Full-text available
Service‐oriented architecture (SOA) has a crucial role in backing productive cloud services. Also, the vast spread of the theoretical notion of diverse businesses (like e‐commerce) into the actual use has been recently applied by cloud computing. The service functionality could be affected by overfilling of the network traffic because of the broadl...
Article
Purpose Today, with the rapid growth of cloud computing (CC), there exist several users that require to execute their tasks by the available resources to obtain the best performance, reduce response time and use resources. However, despite the significance of the scheduling issue in CC, as far as the authors know, there is not any systematic and in...
Article
Full-text available
Internet of Things (IoT) as a new technological revolution has been proposed recently wherein the things are connected over the Internet. Because of the inherent characteristics of IoT for storage of data at untrusted and heterogeneous hosts, data replication across large geographic distances for efficient data management is unavoidable. The select...
Preprint
The credit card fraud detection project uses machine learning and R programming concepts. The aim of this project is to build a classifier that can detect credit card fraudulent transactions using a variety of machine learning algorithms that will be able to discern fraudulent from non-fraudulent ones.
Conference Paper
Full-text available
1 : When it comes to paying special loans (in terms of amount of loan and condition of obligations), expected risk increases considerably and banks want to be able to determine by an appropriate system the amount of potential credit risk in repaying the loan before lending it. This paper is carried out based on the facts that 1) number of paid spec...
Conference Paper
Full-text available
In order to convert a sentence from a language into another language, it is first necessary to have a word recognition or word processing procedure and a structural analysis, so that the simple and compound words of that language are recognized by the input. Then the combination of words must be syntactically correct and create the sentence belongi...
Conference Paper
Full-text available
Today's major challenge in all areas of the network and database is the subject of Big Data. Big Data is a concept that does not last long and generally increases the amount of unstructured and integrated information along with its storage and processing. Big Data is now a major challenge for wide networks and wide corporations. These data include...
Conference Paper
Full-text available
In recent decades, with the rapid growth of technology and the development of smart businesses, e-commerce has also grown rapidly. E-commerce, online sales, online transactions, and other resources have generated e-commerce data. And given the rapid growth of these data, the volume of these data is increasing rapidly. On the one hand, the rapid pro...
Conference Paper
Full-text available
In today's highly competitive world, due to the rapid advancement of technology, the Internet, and increased e-commerce, there is a mechanism that can predict the needs and desires of users, which can outstrip us from competitors. On the other hand, we encounter large amounts of information in Web portals that are sometimes heterogeneous and unrela...
Method
Big data are data on a massive scale in terms of volume, intensity, and complexity that exceed the capacity of standard analytic tools. They present opportunities as well as challenges to statisticians. The role of computational statisticians in scientific discovery from big data analyses has been under-recognized even by peer statisticians. This a...
Method
This extraordinary amount of data provides unprecedented opportunities for data-driven decision-making and knowledge discovery. However, the task of analyzing such large-scale dataset poses significant challenges and calls for innovative statistical methods specifically designed for faster speed and higher efficiency.
Article
Full-text available
Book
Full-text available
این کتاب جز اولین کتب کمک آموزشی دوره اول متوسطه سال نهم می‌باشد که در سال 1394 پس از اضافه شدن پایه نهم در تابستان همین سال تالیف و چاپ گردید

Questions

Questions (2)
Question
We have datasets that have a Gaussian distribution.
,Data were obtained from different, irregular, and multimodal Gaussian distributions
How can we use the k-means clustering method for highly optimal clustering so that the most statistically similar data are in the same group?
Question
How to predict time series data with infinite variance with a neural networkَ
We have a a-stable series
We want to build a neural network to predict this series

Network

Cited By

Projects

Projects (3)
Project
Applying new algorithms for optimization in various fields
Project
To provide autonomy and self sufficiency to those charged with extracting, reporting and analyzing data. To improve data quality, consistency, and completeness. To enhance business agility and ensure that data is timely and accessible and can be transformed into meaningful information to support effective decision-making. To provide an authoritative and secure environment for data management.