Titlebook: Digital Interaction and Machine Intelligence; Proceedings of MIDI’ Cezary Biele,Janusz Kacprzyk,Marcin Sikorski Conference proceedings‘‘‘‘‘

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Amandine Berger-Sabbatel,Benoit Journéfirstly presents a deep learning-based approach for detection of vehicles’ logos in camera video feeds. Due to small size of logos, a unique pipeline using three different deep learning models is designed. Firstly, a modified Improved Warped Planar Object Detection Network (IWPOD-NET) selects a Regi

SUE

改良

Hans-Jakob Steiger,Eberhard Uhlstacked vectors from successive steps creates a binary image. This image encodes the character’s input and behavioural pattern, which are then retrieved and recognized by the CNN network. A network structure based on the Advantage Actor-Critic network was proposed. In the experimental verification,

子女

Measuring and Assessing Risk Cultureic accuracy of models and human raters using ROC analysis. Deep neural networks were found to achieve comparable performance to experienced readers in the diagnosis of csPCa. Results confirm the potential of deep neural networks in enhancing the cognitive abilities of radiologists in PCa assessment.

舊石器時(shí)代

物質(zhì)

Robert L. Heath,Katherine McComas of a less constrained, playful interaction rather than following strict rules of the game. The paper describes the design of the game, the implementation in pilot studies and the results from three evaluations which investigated the perceptions of NAO as a game leader, and perceived psychological s

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典型

2367-3370 mary objective of the MIDI conference, which was conducted online on December 13–15, 2022, is to combine two up until recently distinct disciplines of research—artificial intelligence and human–technology interaction..978-3-031-37648-1978-3-031-37649-8Series ISSN 2367-3370 Series E-ISSN 2367-3389