Nowadays, with the vigorous development of OCR (Optical Character Recognition) and machine translation, photo translation technology brings great convenience to people’s life and study. However, when translating the ...
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The malware is continually changing in today’s Internet-dependent environment, with an estimated 560,000 new cases being produced each day. As a result, conventional detection technologies are no longer adequate, whi...
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Using wireless signals, it is possible to map some patterns in the received signal to human activities in the vicinity of the wireless receiver. One of the potential applications of this is to detect the direction of ...
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Collaborative systems with multiple robots strategies are frequently cited as promising solutions to increase efficiency and system resilience in the agricultural area, where robotics is anticipated to play a signific...
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In the last decade, mobility prediction has played a crucial role in urban planning, traffic forecasting, advertising, and service recommendation. This paper addresses the prediction of mobility and emphasizes an esse...
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Due to the continuous development of intelligent technology, the form of active interaction appears in the working mode of smart products. With this change of human-computer interaction mode, the concept of human-comp...
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ISBN:
(纸本)9783031059001;9783031058998
Due to the continuous development of intelligent technology, the form of active interaction appears in the working mode of smart products. With this change of human-computer interaction mode, the concept of human-computer interaction is gradually migrating to human-computer collaboration. One of the idiosyncrasies of the human-computer synergy process is the active nature of the intelligent system in the interaction process, and therefore the design of the emotional expression of the intelligent terminal becomes a key factor affecting the user experience. In this regard, this paper focuses on the use and experiential effects of active interactive feedback in outdoor, indoor, and self-driving service scenarios, as well as the differences in user experience in terms of action attraction, action empathy, and trust conveyed by different behavior patterns, ability expressions and image forms for users in these scenarios. The analysis summarizes the key factors affecting user experience during the active interaction of intelligent devices and provides a reference for the design of interaction forms for intelligent service robots.
Decision trees (DTs) are popular techniques in the field of explainable machine learning. Traditionally, DTs are induced using a top-down greedy search that is usually fast;however, it may lead to sub-optimal solution...
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Due to rapid advancements in technology, the financial sector has experienced significant changes in the last few decades. In particular, financial technology (FinTech) has revolutionized the financial services indust...
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The pre-training model represented by BERT has limited accuracy due to a lack of professional domain knowledge support. The knowledge-enhanced BERT model effectively improves the lack of knowledge in downstream tasks ...
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Sepsis, a severe systemic response to infection, represents a pressing global public health challenge. Time series research, including the analysis of medical data, encounters significant obstacles due to the high dim...
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