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Titlebook: Highlights in Practical Applications of Agents, Multi-Agent Systems, and Trust-worthiness. The PAAMS; International Worksh Fernando De La P

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Franciszek Seredyński,Jakub Gąsiorctions. The recent work on this important subject has also been thoroughly reviewed. Every dermatologist of experience will admit that he sees many patients in whom he makes a diagnosis of "insect bites", if he has the confidence to do so, or of "papular urticaria" or "prurigo" when he lacks such confidence, 978-1-4471-1358-4978-1-4471-1356-0
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e overcome by the development of compounds which interfere with the metabolism and nervous system of arthropods in ways different from those of conventional insecticides. Additionally, new monitoring systems are required which will also detect alien species. Completely new control strategies without
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Jaime Andres Rincon,Vicente Julian,Carlos Carrascosase scientists for whom the present manual is primarily intended (biochemists, particularly com­ parative biochemists, and pharmacologists) should be familiar wi978-3-642-45503-2978-3-642-45501-8Series ISSN 0171-2004 Series E-ISSN 1865-0325
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Ethical Concerns and Opportunities in Binding Intelligent Systems and Blockchain Technologyportunities. However, several ethical concerns have yet to be faced. This paper elaborates on the entanglement among ethical and technological challenges while proposing and discussing approaches that address these emerging research opportunities.
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Towards the Edge Intelligence: Robot Assistant for the Detection and Classification of Human Emotionat attracts with special interest to the community of researchers in artificial intelligence. We adapted edge AI to classify human emotions. Results show how edge AI-based emotion classification can greatly benefit in the field of cognitive assistants for the elderly or people living alone.
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Who, When and Why: The 3 Ws of Code-Switchingugh theoretical studies. We provide empirical evidence based on a user study with 50 participants showing initial correlations between user traits and the CS frequency, which can be used to predict users’ CS. Our findings imply that in the scope of our study, people (who) code-switch in specific dis
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