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Titlebook: Digital Interaction and Machine Intelligence; Proceedings of MIDI’ Cezary Biele,Janusz Kacprzyk,Marcin Sikorski Conference proceedings 2021

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31#
發(fā)表于 2025-3-27 00:38:02 | 只看該作者
https://doi.org/10.1007/978-3-030-47139-2y Workflows Management Coalition. To this end, the functioning of business platforms was analysed and their functionality was presented visually, followed by a proposal and a discussion of how to implement crowdsourcing into workflow systems.
32#
發(fā)表于 2025-3-27 01:11:19 | 只看該作者
33#
發(fā)表于 2025-3-27 07:49:54 | 只看該作者
UX in Virtual Reality. Qualitative Assessment Based on a Range of Applications results of the study concern the assessment of different ways of moving around in IVR and the ways of handling different types of interfaces available in IVR. We also observed age-related differences in the speed of adaptation and the perception of elements of the virtual world.
34#
發(fā)表于 2025-3-27 13:05:37 | 只看該作者
35#
發(fā)表于 2025-3-27 15:24:02 | 只看該作者
Deploying Crowdsourcing for Workflow Driven Business Process—A Brief Proposaly Workflows Management Coalition. To this end, the functioning of business platforms was analysed and their functionality was presented visually, followed by a proposal and a discussion of how to implement crowdsourcing into workflow systems.
36#
發(fā)表于 2025-3-27 19:02:31 | 只看該作者
Technology Enables Struggling with Everyday Life’s Chores: Working Women with Two or More Small Chils useful in determining what, under the condition of Covid-19 related lockdown and enforced work from home, the digital technology portrait of working women bringing up children in Poland is in terms of optimism, proficiency and vulnerability.
37#
發(fā)表于 2025-3-27 23:04:32 | 只看該作者
General Discussion: Risk Assessmentssistive technologies, based on an exploratory study with older adults, and a follow-up in-depth pilot study with two participants regarding the needs of people who are gradually losing their sight at a later age.
38#
發(fā)表于 2025-3-28 04:29:08 | 只看該作者
39#
發(fā)表于 2025-3-28 07:12:47 | 只看該作者
Neural Machine Translation for Turkish to English Using Deep Learningetworks (RNN) such as Sequence-to-Sequence model have become popular on many Natural Language Processing (NLP) problems including machine translation. However, these models underperform on long sentences due to fixed length vector design. In this paper, we deployed a RNN based Sequence-to-Sequence m
40#
發(fā)表于 2025-3-28 13:46:43 | 只看該作者
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