BSc

Sep 1, 2012 - Jul 1, 2015

in Electronic and Control Engineering Techniques
Technical Engineering college / Kirkuk

M. Sc.

Sep 1, 2018 - Jul 4, 2020

in Electrical and Computer Engineering
Altinbas University

The Use of Cnn-Based Multitask Learning for Smart Motorcycle Helmet Design

Oct 8, 2024

Journal International Journal of Research In Science & Engineering (IJRISE)

Developing Ethical Usage Guid-elines for Customers of Artificial Intelligence and Big Data Analytics: Ethical Applications within Realm of Big Data Analytics

Dec 1, 2023

Journal Journal of Artificial Intelligence, Machine Learning and Neural Network

In both the operational and customer-facing facets of the insurance sector, big data analytics and ever-evolving machine learning and artificial intelligence (AI) capabilities have become indispensable. Insurance-related goods and services, which cover things like business property insurance, auto insurance, and personal health insurance, are essential for advancing the economy and society. The significance of artificial intelligence and machine learning in preserving this equilibrium within the insurance industry has already been established. However, as AI and machine learning are used more frequently, it creates new issues and calls into question the industry's moral standards. In order to shed light on any potential new conflicts and concerns, it is vital to look into the ethical ramifications and conundrums surrounding the use of data in insurance innovation. In order to examine and gain a deeper understanding of the ethical landscape relating to the tensions surrounding the use of big data analytics, AI, and machine learning methodologies to sustain the operations of the insurance industry, this study combines the insights of insurance professionals with the expertise of an AI ethics specialist.

An Analysis of Performance in Free-Space Optical Communication Using Eight Wavelength Division Multiplexing

Sep 22, 2023

Journal Texas Journal of Engineering and Technology

Index Modulation OFDM Systems with Direct Pattern of Subcarrier Activation

Mar 15, 2023

Journal NTU Journal of Engineering and Technology

publisher Northern Technical University

OFDM-IM is a spatial modulation technique applied to OFDM's block subcarriers, resulting in a modified version of OFDM. Compared to traditional OFDM, OFDM-IM boasts several benefits, such as enhanced bit-error rate (BER) performance and power efficiency. When working with OFDM-IM, the specification of subcarrier-activation-patterns (SAPs) is done by utilizing either look-up tables (LUTs) or a combinatorial approach to conform with data. However, the data-to-SAP mapping methods of both suffer from increased complexity as the number of subcarriers expands. The paper proposes a direct data-to-SAP mapping that eliminates the need for any type of look-up tables. Through the presented analysis and computer simulation results, it is demonstrated that the OFDM-IM system utilizing the proposed mapping scheme outperforms equivalent traditional OFDM-IM systems in both complexity and bit error rate (BER) performance.