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Modulations recognition using deep neural network in wireless communications

Mossad, Omar S.; ElNainay, Mustafa; Torki, Marwan - 2019

Automatic modulations recognition is one of the most important aspects in cognitive radios (CRs). Unlicensed users or secondary users (SUs) tend to classify the incoming signals to recognize the type of users in the system. Once the available users are detected and classified accurately, the CR...

Persistent link: https://www.econbiz.de/10012150549

Adoption of aI in firms and the issues to be overcome : an empirical analyses of the evolutionary path of development by firms

Miyazaki, Kumiko; Sato, Ryusuke - 2018

AI has been through several booms and we have currently reached the 3rd AI boom. Although AI has been evolving over six … for widespread adoption of AI in firms. Through one of the authors work experience related to AI, it appears that although … companies are willing to consider adopting AI for various applications, only a few are willing to make a commitment to go for …

Persistent link: https://www.econbiz.de/10012012872

Künstliche Intelligenz und potenzielle Anwendungsfelder im Marketing

Richter, Alexander; Gačić, Tamara; Kölmel, Bernhard; … - In: Dialogmarketing Perspektiven 2018/2019 : Tagungsband …, (pp. 31-52). 2019

Persistent link: https://www.econbiz.de/10011999945

Algorithmic Marketing : wie der zunehmende Einsatz von Artificial Intelligence und Automatisierung die Kundenkommunikation und -interaktion verändert

Gentsch, Peter - In: Dialogmarketing Perspektiven 2018/2019 : Tagungsband …, (pp. 53-65). 2019

Persistent link: https://www.econbiz.de/10011999955

Antecedents and consequences of individuals' trust formation in artificial intelligence in Korea

Kim, Moon-koo; Park, Jong-hyun; Lee, Duk Hee - 2018

Since the mid-2010s, the rapid advancement of artificial intelligence (AI) has increased both people's expectations and … their anxieties. Technology-centered optimism is largely widespread, hoping that AI will lead to a blessing of human life … polarization, and human alienation reinforce society's skepticism of AI (Hurlburt, 2017). To achieve a hopeful and sustainable …

Persistent link: https://www.econbiz.de/10012004774

A nonlinear approach to assess the risk-reward ratio using the machine learning technique

Merella, Pasquale; Schiesari, Roberto - 2019

Persistent link: https://www.econbiz.de/10012102278

Speaker wars begins : which applications will be the killer content for smart speaker?

Koo, Hyunmo; Kim, Seongcheol; Nam, Changi - 2017

Smart speakers have become next big thing in IoT industry. However, there is not enough discussion about which application would be killer content in smart speaker market. To boost market participation and the growth of the market, there should be a research predicting killer service in the...

Persistent link: https://www.econbiz.de/10011757549

Artificial intelligence-based process for metal identification : resource efficient scrap sorting

Auer, Maximilian; Oßwald, Kai; Volz, Raphael; … - In: Industrial Life Cycle Management : Innovation durch …, (pp. 135-144). 2019

Persistent link: https://www.econbiz.de/10012033447

Artificial intelligence and the concept of "human thinking"

Botică, Dan Aurelian - In: Business ethics and leadership from an Eastern …, (pp. 87-94). 2017

Persistent link: https://www.econbiz.de/10011615674

Estimation of the eddy current losses in a dry-type 3000 KVA transformer with machine learning

Chiu, Han-Chieh; Pao, Hung-Kang; Hsieh, Ren-Hong; Chiu, … - In: Energy reports 6 (2020) 2, pp. 447-451

This paper explores the design parameters of high-voltage coils of three-phase transformers and the effects of eddy current losses caused by energy conversion. The commercial software, ANSYS-Maxwell, was employed to conduct the simulation of electrical and magnetic fields. The design parameters...

Persistent link: https://www.econbiz.de/10012181062