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Titlebook: Netzwerke, Signale und Systeme; Band 2 Theorie konti Hans Wilhelm Schüßler Textbook 1991Latest edition Springer-Verlag Berlin Heidelberg 19

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书目名称Netzwerke, Signale und Systeme
副标题Band 2 Theorie konti
编辑Hans Wilhelm Schüßler
视频video
丛书名称Springer-Lehrbuch
图书封面Titlebook: Netzwerke, Signale und Systeme; Band 2 Theorie konti Hans Wilhelm Schüßler Textbook 1991Latest edition Springer-Verlag Berlin Heidelberg 19
出版日期Textbook 1991Latest edition
关键词Bandpass; Fouriertransformation; Frequenzgang; Hysterese; Leitungsgleichung; Netzwerk; Phase; Signal; Signal
版次3
doihttps://doi.org/10.1007/978-3-642-87584-7
isbn_softcover978-3-540-54513-2
isbn_ebook978-3-642-87584-7Series ISSN 0937-7433 Series E-ISSN 2512-5214
issn_series 0937-7433
copyrightSpringer-Verlag Berlin Heidelberg 1991
The information of publication is updating

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Hans Wilhelm Schüßlerer, with the expansion of the Internet of Things, and the huge amount of data that connected E-health devices and applications are generating, it is also mandatory to address new challenges related to the data management, applications management and their security. Through this book, readers will be
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Hans Wilhelm Schüßlerreparation of STF-TENG with the capability of high-energy harvesting and safeguarding effects are described. The chapter then introduces the various methods and techniques employed to fabricate STF-TENGs, as well as explores their working mechanism. The practical application of STF-TENG as a wearabl
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Hans Wilhelm Schüßlerntal faces in a nearby photograph. The problem of students and intermediaries being listed as present, even if they are not, is easily resolved with this system. Face recognition is crucial for mobile devices to operate and execute specific duties. This concept is the foundation for a smart attendan
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Hans Wilhelm Schüßlerare developed to assess important real-world properties of DVB-assisted attacks. New results on the reach of such an attack and its detectability are presented, which are used to propose an efficient protection scheme to secure existing and future HbbTV-enabled receivers.
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er the years, research is going in this domain to develop algorithms that can differentiate between seizure and non-seizure phases and develop mechanism that can detect and predict seizure before its onset. In this paper, we have extensively studied different soft computing techniques that have been
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pproaches based on machine learning. The past few years have witnessed an exponential growth in databases and repositories due to the increase in scientific knowledge and the massive data production. Biomedical domain represents one of the rich data domains. An extensive amount of biomedical data is
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