Design and Implementation of Software Engineering for Modern Web Applications

Author:   Mohammed Moreb
Publisher:   IGI Global
ISBN:  

9781668448458


Pages:   319
Publication Date:   31 July 2024
Format:   Paperback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Design and Implementation of Software Engineering for Modern Web Applications


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Author:   Mohammed Moreb
Publisher:   IGI Global
Imprint:   Engineering Science Reference
ISBN:  

9781668448458


ISBN 10:   1668448459
Pages:   319
Publication Date:   31 July 2024
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Mohammed Adnan Moreb is a Vice President of Academic Affairs at Smart University College for Modern Education. He obtained his Ph.D. in Electrical and Computer Engineering. Dr. Moreb Expertise in Cybercrimes and Digital Evidence Analysis, specifically focusing on Information and Network Security, with a strong publication track record, work for both conceptual and practical which built during works as a system developer and administrator for the data center for more than 10 years, config, install, and admin enterprise system related to all security configuration, he improved his academic path with the international certificate such as CCNA, MCAD, MCSE; Academically he teaches the graduate-level courses such as Information and Network Security course, Mobile Forensics course, Advanced Research Methods, Computer Network Analysis and Design, and Artificial Intelligence Strategy for Business Leaders. Dr. Moreb founded a new framework and methodology specialized in software engineering for machine learning in health informatics named SEMLHI which investigates the interaction between software engineering and machine learning within the context of health systems. The SEMLHI framework includes four modules (software, machine learning, machine learning algorithms, and health informatics data) that organize the tasks in the framework using a SEMLHI methodology, thereby enabling researchers and developers to analyze health informatics software from an engineering perspective and providing developers with a new road map for designing health applications with system functions and software implementations.

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