Scopus Research —  Ezzaddin Hasan Kadhim

The research aims in general to identify artificial intelligence and its technologies and rationalize costs, as well as measuring and analyzing the impact of artificial intelligence (AI) techniques on the competitive advantage (CA) of the economic unit (reducing or rationalizing its costs) in addition to providing new innovations in machine learning and independent decision-making and creating new opportunities for development and innovation, as the importance of research stems from the contribution of AI In accomplishing many tasks in less time and predicting business results to increase profitability and provide customers with better products and services, and thus will contribute to increasing market share and achieving competitive advantages for the products offered by the economic unit The research reached many conclusions, including 'There is a significant impact of AI methods on improving the competitiveness of the industrial unit according to the answers Sample members in the State Company for Textile and Leather Industries in Babylon, where the ambiguous logic methods are able to explain (90%) of the changes that occur in the competitive advantage (after costs), while the residual percentage of (10%) is due to other factors not included in the model', and the research reached many recommendations, including'encouraging the use of various applications of AI in industrial units by seeking to acquire the latest devices, computers and assistive technologies to integrate them for the purpose of creating an appropriate environment So'. © 2025 IEEE.

The aim of this work is to look into the connection between company Green policy, and unpredictability in the environment, as well as the function of green management accounting (GMA). We surveyed data from 77 different Iraqi firms listed on the exchange. GMA use has been positively influenced by the usage of organizational instruments such as company Green issues, top executive engagement, and Green uncertainty. This means that GMA appears to be a valuable and important tool in Iraqi companies to provide data that helps firms better manage their Green performance, and that these findings may be relevant to companies around the world, as they develop capabilities in dealing with perceived Green uncertainty to use GMA tools. © 2024 L&H Scientific Publishing, LLC. All Rights Reserved.

This study aims to provide quantitative indicators to the decision-maker regarding the time-cost exchange to speed up the completion process of projects by raising cost levels, as well as providing quantitative indicators to the decision-maker regarding the possibility of reducing costs by opening the time limit for completion and highlighting the role of quantitative methods in implementing the time-cost-exchange process, to obtain financial indicators, and this comes as a solution to the problem of whether it is possible to exchange time for cost and vice versa to implement tasks and activities for different projects in economic units. This study found the possibility of postponing the required accounting payments for the project periods if the C.P.M method is adopted. Cash dues or the required installments can be paid for the project's last third or fourth quarter. © 2024 American Institute of Physics Inc.. All rights reserved.

The Publisher has retracted this article in agreement with the Editor-in-Chief. The article was submitted to be part of a guest-edited issue. An investigation by the publisher found a number of articles, including this one, with a number of concerns, including but not limited to compromised editorial handling and peer review process, inappropriate or irrelevant references or not being in scope of the journal or guest-edited issue. Based on the investigation's findings the publisher, in consultation with the Editor-in-Chief therefore no longer has confidence in the results and conclusions of this article. Authors Mustafa Musa Jaber, Mohammed Hassan Ali, Sura Khalil Abd, Ahmed Alkhayyat, and Shahad Alyousif have not responded to correspondence regarding this retraction. The publisher has been unable to obtain a current email address for authors Mustafa Mohammed Jassim, Ezzulddin Hasan Kadhim and Ahmed Rashid Alkhuwaylidee. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

A summary of the numerous hybrid machine learning (HML) patterns is provided in this paper, which covers the complete ML lifecycle from model construction to data preparation to training to deployment to ongoing management. As a resource for the primary decision and control of production systems, industrial information systems (IIS) is a major research field in industrial systems management. Industrial and manufacturing methods are being inundated with massive amounts of data due to the increasing use of industrial information systems (IIS). Data management in networked industrial systems is examined in this paper. We recommend hybrid machine learning (HML) patterns for these customers as a stop-gap measure on the road to the cloud. To overcome the missing data problem, we propose using hybrid machine learning (HML) to solve this issue. This challenge has been given a more comprehensive range of possible solutions thanks to advances in machine learning technology. Here, a complex industrial information system based on a hybrid machine learning model (CIIS-HMLM) is proposed to address recovering the sensor’s lost data that failed. Nonlinear data modeling using an intelligent algorithm is discussed in detail. In addition, this presents a method for processing data to ensure uninterrupted service for consumers using HML. We classify many research difficulties related to the effective design and proper implementation of CIIS-HMLM. As a wrap-up, we provide a few ideas for further research on this topic. © 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Purpose: The research aims to determine the nature of the relationship between the transparency of disclosure in the financial statements and the closing prices of stocks and future expectations. Theoretical framework: The knowledge bases of information transparency in the financial statements and how to disclose the future expectations of the economic units of the research sample were highlighted. Methodology: The financial data of five of the Iraqi banks listed in the Iraqi Stock Exchange for five periods were collected, and then the data was analyzed according to the closing price of each bank, and then extracting the indicator for the tool used in the study according to special equations that were clarified in the practical side. Findings: The necessity for the economic units listed in the capital markets to improve the level of transparency in disclosure by disclosing all information related to their activities, whether they are historical, current or future information. Research & Social implications: This study achieves the objectives of the research the financial reports of a number of banks listed on the Iraq Stock Exchange (the National Bank of Iraq, the Gulf Commercial Bank, the Commercial Bank of Iraq, the Trans-Iraq Commercial Bank, the Investment Bank of Iraq) for the period 2015-2020. Originality/value: This study focuses on how to influence the financial statements for the purpose of clarifying future expectations of economic events in the banking sector, which is one of the important sectors in building the global economy. © 2022 Totem Publisher, Inc. All rights reserved.