[PDF][PDF] Deep learning techniques for COVID-19 detection based on chest X-ray and CT-scan images: a short review and future perspective

MM Mijwil, K Aggarwal, R Doshi, KK Hiran… - Asian J Appl …, 2022 - researchgate.net
Today, humans live in the era of rapid growth in electronic devices that are based on
artificial intelligence, including the significant growth in the manufacture of machines that …

[PDF][PDF] The Significance of Digitalisation and Artificial Intelligence in The Healthcare Sector: A Review

MM Mijwil, AK Faieq, AH Al-Mistarehi - Significance, 2022 - pdfs.semanticscholar.org
Nowadays, artificial intelligence, machine learning, and deep learning are among the most
popular and applied topics in many scientific and life fields that serve humanity. This science …

[PDF][PDF] The purpose of cybersecurity governance in the digital transformation of public services and protecting the digital environment

M Mijwil, Y Filali, M Aljanabi, M Bounabi… - Mesopotamian journal of …, 2023 - iasj.net
As it tries to incorporate computer-based technology into the public services provided by
businesses or organisations, the digital transformation process is currently regarded one of …

[PDF][PDF] Blockchain technology-based solutions for IOT security

I Al_Barazanchi, A Murthy, AAQ Al Rababah… - Iraqi Journal For …, 2022 - iasj.net
After a long period of development, blockchain innovation has received much attention from
scholars and industry practitioners alike. This innovation allows the issuance of smart …

[PDF][PDF] The Distinction between R-CNN and Fast RCNN in Image Analysis: A Performance Comparison

MM Mijwil, K Aggarwal, R Doshi… - Asian Journal of …, 2022 - researchgate.net
Deep learning techniques have become vital in many fields in the modern era because they
are excellent at analysing and predicting real big data to act in different situations. Although …

A trustworthy and explainable framework for benchmarking hybrid deep learning models based on chest X-ray analysis in CAD systems

AS Albahri, MM Jassim, L Alzubaidi… - … and Decision Making, 2024 - eprints.qut.edu.au
Evaluating the trustworthiness of deep learning-based computer-aided diagnosis (CAD)
systems is challenging. There is a need to optimize trust and performance in model …

Artificial intelligence-based prediction of crude oil prices using multiple features under the effect of Russia–Ukraine war and COVID-19 pandemic

H Jahanshahi, S Uzun, S Kaçar, Q Yao, MO Alassafi - Mathematics, 2022 - mdpi.com
The effect of the COVID-19 pandemic on crude oil prices just faded; at this moment, the
Russia–Ukraine war brought a new crisis. In this paper, a new application is developed that …

[PDF][PDF] Proposed a new framework scheme for the path loss in wireless body area network

I Al_Barazanchi, Y Niu, HR Abdulshaheed… - Iraqi Journal for …, 2022 - iasj.net
Recent technical developments in wi-fi networking, microelectronic integration and
programming, sensors and the Internet have enabled us to create and enforce a range of …

[PDF][PDF] Secure blockchain-based electronic voting mechanism.

PC Su, TC Su - Int. Arab J. Inf. Technol., 2023 - ccis2k.org
Many countries have strived to popularise electronic voting (e-voting), but owing to various
security concerns, largescale elections are still invariably held using paper ballots …

Enhancing Efficiency and Fine-Grained Control in Redactable Blockchains with EPBCHF

MN Yusoff, SM Abd Ali… - Iraqi Journal for …, 2024 - ijcsm.researchcommons.org
Blockchain technology has presented a promisingdecentralized paradigm to
precludetrusted third parties' dominancy. It is a transparent and distributed ledger initially …