Expert system to inquiry about the necessary documents to extract a passport (Khedmati)

Expert system to inquiry about the necessary documents to extract a passport (Khedmati)


The project aims at building document organize system that manages a group of documents and pursuers distributed within different Ministries in Syria. The system manages documents for each Ministries such Terms of use, service cost and required papers. The system also enables to look the latest news of the country. Our system also gives a benefit to the user is send document transaction to the pursuer for follow up the document to the end. The user should be register in application to send document transaction to the pursuer. The user can apply to the available job in website through choose a specific job and fill all fields require and submit.



كتب مشابهة

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New challenges in software engineering ; Vol 1

Explores the key challenges shaping the future of software development, including automation, AI-driven development, security-focused engineering, resilient and autonomous architectures, business process optimization, cloud computing, microservices, high-performance distributed systems, and sustainable technologies. Software engineering is undergoing a constant transformation, driven by rapid technological advances and evolving market demands. additionally, it delves into the ethical considerations of AI, the evolution of intuitive user interfaces, and the importance of multidisciplinary collaboration.

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Fundamentals of manufacturing engineering using digital visualization

Offers a guide to core principles and practices of manufacturing engineering. It covers the design of, together with technological and measurement issues for, technical systems. Locating charts and setup schemes describing different machining processes are included. Concepts of product quality, with a focus on accuracy indicators, machining accuracy, roughness, and the impact of surface quality on exploitation properties are also explained. Furthermore, key machining methods, including turning, milling, hole machining, grinding, and gear machining, are analyzed in depth, covering their principles, applications, and techniques. The book is enriched by QR codes, linking to a mobile application presenting additional information about the content, for an interactive and extended learning experience. It also uses illustrations visualized with digital tools to promote a better understanding of the concepts.

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AI in drug discovery

Constitutes the refereed proceedings of the First international workshop on ai in Drug Discovery, AIDD 2024, held as a part of the 33rd International Conference on Artificial Neural Networks, ICANN 2024, in Lugano, Switzerland, on September 19, 2024. These papers focus on various aspects of the rapidly evolving field of Artificial Intelligence (AI)-driven drug discovery in chemistry, including Big Data and advanced Machine Learning, eXplainable AI (XAI), Chemoinformatics, Use of deep learning to predict molecular properties, Modeling and prediction of chemical reaction data and Generative models.

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