the proceedings contain 57 papers. the topics discussed include: on the development of intention understanding for joint action tasks;complex problem solving with reinforcement learning;a mathematical model of recepti...
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ISBN:
(纸本)1424411165
the proceedings contain 57 papers. the topics discussed include: on the development of intention understanding for joint action tasks;complex problem solving with reinforcement learning;a mathematical model of receptive field reorganization following stroke;facilitating communication, teaching and learning in children with an ASD: project spectrum;emergence of disparity tuning during the development of vergence eye movements;constrained reinforcement learning from intrinsic and extrinsic rewards;towards a model for tool-body assimilation and adaptive tool-use;basis iteration for reward based dimensionality reduction;causality detected by transfer entropy leads acquisition of joint attention;striking deficiency in top-down perceptual reorganization of two-tone images in preschool children;learning to refine behavior using prosodic feedback;and developmental learning for avoiding dynamic obstacles using attention.
the proceedings contain 17 papers. the special focus in this conference is on Smart learning Ecosystems and Regional development. the topics include: College Students’ Blended Online Examination Acceptance During the...
ISBN:
(纸本)9789811639296
the proceedings contain 17 papers. the special focus in this conference is on Smart learning Ecosystems and Regional development. the topics include: College Students’ Blended Online Examination Acceptance During the COVID-19 Epidemic;in-Service Teachers’ Attitude Towards Programming for All;robots as My Future Colleagues: Changing Attitudes Toward Collaborative Robots by Means of Experience-Based Workshops;co-design and Shared Practices: An Overview of Processes of learning in Nonformal Educational Contexts;Fostering Co-UXers in Later Age: Co-designing a UX Toolkit for the Senior Online Community MiOne;What Are the Latest Fake News in Romanian Politics? An Automated Analysis Based on BERT Language Models;exploring a Large Dataset of Educational Videos Using Object Detection Analysis;supporting Urban Innovators’ Reflective Practice;Fighting the Gender Gap in ICT: Guidelines for Game Design;toward the Set of Principles for Enhancing Open Cultural Data Reusability in Educational Context;Discoverability of OER: the Case of Language OER;Dialogism Meets Language Models for Evaluating Involvement in CSCL Conversations;selfit—Accounting for Sexual Dimorphism in Personalized Motor Skills learning;romanian Syllabification Using Deep Neural Networks;A Year After the Outbreak of COVID-19: How Has Evolved the Students’ Perception on the Online learning?.
the rapid growth of the Internet of things has led to the generation of vast amounts of data, which presents both challenges and opportunities for researchers and practitioners. Machine learning and deep learning tech...
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this paper uses deep learning algorithms including InceptionV2, InceptionV3, DenseNet, MobileNet, and VGG19 to improve skin cancer detection. this research aims to improve skin cancer diagnosis. this work aims to dete...
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Text is one of humankind's most significant inventions essential for communication and collaboration in modern society. Extracting text from images, especially for languages with cursive and connected scripts like...
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the rapid progress in artificial intelligence (AI) has led to the development of robust deep learning models, yet their black box nature presents major challenges regarding interpretability and transparency. this arti...
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In modern communication, speech technology plays a vital role, with accent being one of the key features that reflects the nuances of spoken technology. However, differences in accent can make communication difficult,...
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Breast cancer (BC) is a leading cause of cancer-related deaths in women, but early detection significantly improves survival rates. Recently, deep learning neural networks have shown potential for enhancing BC screeni...
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the Generalized Adaptive Weighted Recursive Least Squares (GAWRLS) dictionary learning method has shown potential for unsupervised dictionary learning. this paper advances GAWRLS by incorporating classification error ...
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this work presents a novel semi-supervised dictionary learning framework that updates the dictionary by online learning and is efficient in utilizing the training data. the method employs a two-stage process to train ...
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