Titlebook: International Conference on Applications and Techniques in Cyber Security and Intelligence ATCI 2018; Applications and Tec Jemal Abawajy,Ki

travail

Huaping Zhou,Daoyi Zhang paradigmatische Neuausrichtung der Verbraucherforschung und -politik. Die Beitr?ge thematisieren insbesondere Ambivalenzen, Optionen und Zukunftsmodi im Konsum bei der Suche nach individueller Zufriedenheit und ?kologischer Nachhaltigkeit..978-3-658-31536-8978-3-658-31537-5Series ISSN 2569-7161 Series E-ISSN 2569-717X

尊嚴(yán)

Qin Sun,Yufei Wu,Huixian Duan,Jun Wang,Lin Mei paradigmatische Neuausrichtung der Verbraucherforschung und -politik. Die Beitr?ge thematisieren insbesondere Ambivalenzen, Optionen und Zukunftsmodi im Konsum bei der Suche nach individueller Zufriedenheit und ?kologischer Nachhaltigkeit..978-3-658-31536-8978-3-658-31537-5Series ISSN 2569-7161 Series E-ISSN 2569-717X

chuckle

Convolutional Neural Network Deep-Learning Models for Prediction of Shared Bicycle Demandmassive databases and machine learning/artificial intelligence services. We applied TensorFlow, the leading industry AI tool, to analyze 55 million contracts from Mobike, the world’s largest bike-sharing company. We elicited demand behavioral cycles, finding demand peaks at periodicities of 7, 12, 2

Gene408

戲法

An RFID Path Authentication Protocol Based on Chebyshev Polynomialsation protocol can be used to detect whether the products labeled with RFID tags have passed a complete and valid path and whether any counterfeit products have entered our supply system. In this paper, we first apply Chebyshev polynomials to RFID path authentication protocol in the supply chain. Ou

Armory

ALIBI

結(jié)果

Research on Audio and Video Transmission Strategy for Android Although focused on audio and video recording and playing, these objects cannot directly be applied in real-time streaming video and audio transmission based on camera and microphone hardware. Through the deep research of Android operating system, a strategy was proposed in this paper on efficient?

投票

強(qiáng)所