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Titlebook: New Technologies, Development and Application III; Isak Karabegovi? Conference proceedings 2020 Springer Nature Switzerland AG 2020 Cyber-

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發(fā)表于 2025-3-21 16:21:35 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱New Technologies, Development and Application III
編輯Isak Karabegovi?
視頻videohttp://file.papertrans.cn/666/665828/665828.mp4
概述Presents selected articles from the 6th International Conference on New Technologies and Applications (NT-2020), held in Sarajevo, Bosnia and Herzegovina, on June 25–27, 2020.Covers the theory, applic
叢書名稱Lecture Notes in Networks and Systems
圖書封面Titlebook: New Technologies, Development and Application III;  Isak Karabegovi? Conference proceedings 2020 Springer Nature Switzerland AG 2020 Cyber-
描述.This proceedings book features papers presented at the International Conference on New Technologies, Development and Application, held at the Academy of Sciences and Arts of Bosnia and Herzegovina in Sarajevo on 25th–27th June 2020. ?It covers a wide range of future technologies and technical disciplines, including complex systems such as Industry 4.0; patents in Industry 4.0; robotics; mechatronics systems; automation; manufacturing; cyber-physical and autonomous systems; sensors; networks; control; energy and renewable energy sources; automotive and biological systems; vehicular networking and connected vehicles; effectiveness and logistics systems; smart grids; nonlinear systems; power; social and economic systems; education; and IoT. The book focuses on the Fourth Industrial Revolution “Industry 4.0,” in which implementation will improve many aspects of human life in all segments and lead to changes in business paradigms and production models. Further, new business methods are emerging, transforming production systems, transport, delivery, and consumption, which need to be monitored and implemented by every company involved in the global market..
出版日期Conference proceedings 2020
關(guān)鍵詞Cyber-Physical Systems; Autonomous Systems; Application; Mechanical Engineering; NT-2020; NT
版次1
doihttps://doi.org/10.1007/978-3-030-46817-0
isbn_softcover978-3-030-46816-3
isbn_ebook978-3-030-46817-0Series ISSN 2367-3370 Series E-ISSN 2367-3389
issn_series 2367-3370
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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ding conflict management. In this effort, we combine insights from the traditions of international relations and strategic studies. The debate on strategy in the international relations literature does not entail thorough discussions of the concept of strategy since the analysts usually assume that
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Isak Karabegovi?,Edina Karabegovi?,Mehmed Mahmi?,Ermin Husakcy and implementation in operational theaters? Does the military end up leading from the center due to its well-tested and detailed planning procedures while being only one actor out of many in terms of the objectives and instruments devised in the campaign plans for theaters such as Iraq and Afghan
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Franc Majdi?se functions. For our generalization, we will let . be a closed Whitney stratified space in some ambient smooth manifold .. We will need analogues for the notions of smooth function, critical point, and Morse function for this setting. A smooth function on . will be a function which extends to a smo
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Adriano G. Manca,Carmine M. Pappalardose functions. For our generalization, we will let . be a closed Whitney stratified space in some ambient smooth manifold .. We will need analogues for the notions of smooth function, critical point, and Morse function for this setting. A smooth function on . will be a function which extends to a smo
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Vitalii Ivanov,Ivan Pavlenko,Viliam Zaloga,Oleksandr Liaposhchenko,Dmytro Pirogov as a dense open subset. For example, . may be a compactification of some noncompact algebraic variety . ? ., and . may be a smooth function defined on the ambient .. We shall assume that it is possible to find a stratification of . so that . ? . is a union of strata. Thus, . is obtained from . by r
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Viktor Ivanov,Galyna Urum,Svitlana Ivanova of different types of high-grade gliomas using T1-weighted MR images is still challenging, due to the lack of imaging biomarkers. Previous studies only focused on simple visual features, ignoring rich information provided by MR images. In this paper, we propose an automatic classification pipeline
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