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Titlebook: 13th International Conference on Information Systems and Advanced Technologies “ICISAT 2023”; New Trends in Artifi Mohamed Ridda Laouar,Val

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发表于 2025-3-21 16:37:35 | 显示全部楼层 |阅读模式
期刊全称13th International Conference on Information Systems and Advanced Technologies “ICISAT 2023”
期刊简称New Trends in Artifi
影响因子2023Mohamed Ridda Laouar,Valentina Emilia Balas,Abbas
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发行地址Focuses on recent topics in Artificial Intelligence, Computing, and Decision Making.Presents emerging trends in intelligent computing and informatics.Covers proceedings of the 13th International Confe
学科分类Lecture Notes in Networks and Systems
图书封面Titlebook: 13th International Conference on Information Systems and Advanced Technologies “ICISAT 2023”; New Trends in Artifi Mohamed Ridda Laouar,Val
影响因子.This book covers the Proceedings of the 13th International Conference on Information Systems and Advanced Technologies “ICISAT’2023.” One of the evocative and valuable dimensions of this conference is the way it brings together researchers, scientists, academics, and engineers in the field from different countries and enables discussions and debate of relevant issues, challenges, opportunities, and research findings. .The ICISAT’2023 conference provided a forum for research and developments in the field of information systems and advanced technologies and new trends in developing information systems organizational aspects of their development and intelligent aspects of the final product. .The aim of the ICISAT’2023 is to report progress and development of methodologies, technologies, planning and implementation, tools, and standards in information systems, technologies, and sciences..ICISAT’2023 aims at addressing issues related to the intelligent information, data science, and decision support system, from multidisciplinary perspectives and to discuss the research, teaching, and professional practice in the field. .The book of ICISAT’2023 includes selected papers from the 13th In
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Enhancing Gain and Bandwidth in 5G Wireless Communication Systems,t of at least some of its variants. Much of the progress is attributable to worldwide efforts following upon the signing to law the United States of America National Cancer Act on December 23, 1971 by President Richard M. Nixon. The Act was based on a blueprint compiled by a panel of experts, the Co
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YOLOv3 for Brain Tumor Detection, research. Because most breast cancers are initially dependent upon estrogens for continued growth, much of this research has focused on the role of estrogen receptor (ER) in the control of gene expression and mitosis (1), and on its use as a marker for hormone responsiveness and prognosis (2). In a
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Machine Learning Algorithms Based Models for Forest Fires Prediction: An Analytic and Comparison Strming growth factors α and β (TGFα, TGFβ), insulin-like growth factor I (IGFI), mammary derived growth factors I and II (MDGFI, MDGFII), human mammary tumor derived growth factor (h.MTGF) and platelet-derived growth factor (PDGF). Additionally, it has been shown that similar (or identical) growth fa
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The Benefits of Gamification and Mobile Learning in Programming Complex Data Structures in the Contnd of their size and extent of growth. Biological markers are substances made by tumors, or substances or biological phenomena closely associated with the presence of tumors. These markers may be specific for breast cancer, or they may be quantitatively altered in tumor-bearing subjects, and thereby
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