Titlebook: Handbuch der Lichttechnik; Erster Teil E. Alberts,W. Arndt,E. Zeiss Book 1938 Springer-Verlag Berlin Heidelberg 1938 Arbeit.Beleuchtungstec

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書目名稱Handbuch der Lichttechnik影響因子(影響力)




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書目名稱Handbuch der Lichttechnik網(wǎng)絡公開度




書目名稱Handbuch der Lichttechnik網(wǎng)絡公開度學科排名




書目名稱Handbuch der Lichttechnik被引頻次




書目名稱Handbuch der Lichttechnik被引頻次學科排名




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書目名稱Handbuch der Lichttechnik年度引用學科排名




書目名稱Handbuch der Lichttechnik讀者反饋




書目名稱Handbuch der Lichttechnik讀者反饋學科排名

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Heinrich Lux,Otto Reebat of an image. So to confuse the attacker, this paper proposes a technique that encrypts the text into image using piecewise linear chaotic map (PWLCM). A text file can be taken as input and the proposed algorithm will convert it into a cipher image, which can then be converted back by the decrypti

CLASH

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VEIL

Herbert Sch?nbornchanism to acquire sentiment labels. Sentiment words extracted from the twitter are generalized. It is important to find the correct sentiment from a tweet; otherwise, it may generate different sentiment than the desired. Sentiment analysis work done up to now has limitation, i.e., it is based on pr

HALO

Rudolf Sewig,Wilhelm Hagemann,Franz Krautschneider,Gustav Laue,Heinrich Riedel,Helmuth Scheringthe text written by them on social media platforms like Twitter, Facebook, etc. This study has considered two datasets (STS-Gold and IMDb) on a different domain and with varying lengths of text. The objective of this study is to know which classification algorithm performs better on two domains of t

Fantasy

Wilhelm Arndt,Heinrich Lux,Wilhelm Hagemann,Arno Pahl,Rudolf Kell,Alfred Beckmann present a study on the QR and OTP-based 2FA systems for website login. These methods require the user to provide two pieces of evidence to confirm their identity, enhancing security by adding an additional layer of protection to the login process. We discuss the advantages and disadvantages of usin

姑姑在炫耀

Ernst Wittig,Kurt Lackner,Max Werner,Manfred Richter,Richard Steppacher,Hans Hiepe,Johannes Kurthal language processing, and speech recognition. Deep learning methods in recent times have been extremely successful in developing optical character recognition systems. Deep learning methods can learn directly from raw data. Therefore, they can be perfectly applied for recognition of text from imag

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評論性

Wilhelm Hagemann,Franz Krautschneider,Walter Ganz,Georg Jaeckel,Erwin Besser,Gustav Meyer,Fritz Born performance of various circuits, simulations were carried out using Synopsys HSPICE tool taking 45-nm technology model. Full-swing differential XOR–XNOR circuits with restoration transistors are employed in order to realize a noise-resistant full adder circuit. The weak restoration transistors at t