Finally, some issues and challenges concerning UAVs safe and effective integration into ITS applications are discussed. Unmanned aerial vehicles for transportation and traffic engineering A UAV or drone is any aircraft, which is not operated by a pilot on-board. This means that the aircraft is ...
was founded in the USA in 1992: Ideation International, created on the basis of Kishinev TRIZ school, headed by Boris Zlotin and Alla Zusman. Same as it was with Invention Machine, Ideation International had to overcome
Therefore, generalization, scalability and robustness in DL schemes are still open challenges to be tackled. Further information can be found in Mayer and Jacobsen (2020), Wickramasinghe et al. (2018). As for deepfakes, it can be concluded that, even being a neutral technology, malicious ...
In aquaculture, one of the biggest challenges was infection disease control caused by microbial pathogens. Due to the indiscriminate use of antibiotics in fish farming, many disease-causing microbes in fish have acquired resistance to commonly used antibiotics. This has prompted the need for new ther...
LanguageGeneration followed by presenting the history and evolution of NLP. We then discuss in detail the state of the art presenting the various applications of NLP, current trends, and challenges. Finally, we present a discussion on some available datasets, models, and evaluation metrics in NLP...
improve the exosome–ECs interaction on the surface of the BBB and facilitate exosome passage, thereby increasing the efficacy of drug delivery to the abluminal side of the BBB, if they have a better understanding of the recruited mechanisms of exosomes passing through BBB and related challenges. ...
One of the major challenges of biomass gasification is the formation of tars and methane, as well as catalyst deactivation. Tars can disable the process equipment. They are a complex mixture of condensed hydrogen compounds, consisting of one to five aromatic ring compounds, alongside other acid-co...
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In the big data environment, large amounts of datasets are created, and spread rapidly, which incurs extra computational overheads [1]. Conventional data processing technologies face the challenges of data explosion, increasing data variety, limited real-time data processing efficiency and growing deman...