Multimodal Learning in Health Sciences and Medicine: Merging Technologies to Enhance Student Learning and Communication.
Sign Up to like & getrecommendations! Published in 2019 at "Advances in experimental medicine and biology"
DOI: 10.1007/978-3-030-31904-5_5
Abstract: Advances in consumer-level educational technologies show great promise for enhancing the learning experiences of students in health and medicine. There are particular benefits to using a combination of various devices and technologies when teaching challenging concepts.… read more here.
Keywords: medicine; multimodal learning; sciences medicine; health sciences ... See more keywords
Non-Visual Interfaces for Visual Learners: Multisensory Learning of Graphic Primitives
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3513712
Abstract: Multimodal learning systems have been found to be effective in studies investigating cognitive theory of multimedia learning. Yet this research is rarely put into practice in Science, Technology, Engineering, and Math (STEM) learning environments, which… read more here.
Keywords: multisensory learning; non visual; multimodal learning; access ... See more keywords
Multimodal Learning Techniques for Time Series Forecasting in Renewable Energy Systems: A Comprehensive Survey
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3602914
Abstract: Renewable energy systems, such as solar, wind, and hybrid sources, present complex forecasting challenges due to their stochastic and weather-dependent nature. The growing availability of heterogeneous and complementary data modalities including meteorological forecasts, satellite imagery,… read more here.
Keywords: energy systems; learning techniques; multimodal learning; renewable energy ... See more keywords
A Multi-classification Accessment Framework for Reproducible Evaluation of Multimodal Learning in Alzheimer's Disease.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE/ACM transactions on computational biology and bioinformatics"
DOI: 10.1109/tcbb.2022.3204619
Abstract: Multimodal learning is widely used in automated early diagnosis of Alzheimer's disease. However, the current studies are based on an assumption that different modalities can provide more complementary information to help classify the samples from… read more here.
Keywords: multi classification; disease; alzheimer disease; framework ... See more keywords
Multimodal Learning of Social Image Representation by Exploiting Social Relations
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2019.2896100
Abstract: Learning the representation for social images has recently made remarkable achievements for many tasks, such as cross-modal retrieval and multilabel classification. However, since social images contain both multimodal contents (e.g., visual images and textual descriptions)… read more here.
Keywords: representation; social images; social relations; learning social ... See more keywords
Rebuttal to “Comments on ‘Decoding Brain Representations by Multimodal Learning of Neural Activity and Visual Features’ ”
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2024.3426296
Abstract: Bharadwaj et al. (2023) present a comments paper evaluating the classification accuracy of several state-of-the-art methods using EEG data averaged over random class samples. According to the results, some of the methods achieve above-chance accuracy,… read more here.
Keywords: comments decoding; decoding brain; multimodal learning; brain representations ... See more keywords
A Robust Photovoltaic Power Forecasting Method Based on Multimodal Learning Using Satellite Images and Time Series
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Sustainable Energy"
DOI: 10.1109/tste.2024.3494266
Abstract: Ultra-short-term photovoltaic (PV) power forecasting holds significant importance in enhancing grid stability. Most PV power forecasting methods based on satellite images rely on pixel-level predictions, which are inefficient and redundant. Meanwhile, current deep-learning approaches struggle… read more here.
Keywords: photovoltaic power; multimodal learning; based multimodal; power forecasting ... See more keywords
Wireless Interference Recognition With Multimodal Learning
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Wireless Communications"
DOI: 10.1109/twc.2024.3470244
Abstract: In non-cooperative communications, malicious electromagnetic interference attacks communication systems and causes higher probability of communication disruption. In order to address the challenges posed by electromagnetic interference, the wireless interference recognition technique has emerged, which identifies… read more here.
Keywords: interference; multimodal learning; wireless interference; recognition multimodal ... See more keywords
Multimodal learning for fetal distress diagnosis using a multimodal medical information fusion framework
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Physiology"
DOI: 10.3389/fphys.2022.1021400
Abstract: Cardiotocography (CTG) monitoring is an important medical diagnostic tool for fetal well-being evaluation in late pregnancy. In this regard, intelligent CTG classification based on Fetal Heart Rate (FHR) signals is a challenging research area that… read more here.
Keywords: fetal distress; diagnosis; learning fetal; distress diagnosis ... See more keywords
Key factors predicting problem-based learning in online environments: Evidence from multimodal learning analytics
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Psychology"
DOI: 10.3389/fpsyg.2023.1080294
Abstract: Problem-based learning (PBL) has been used in different domains, and there is overwhelming evidence of its value. As an emerging field with excellent prospects, learning analytics (LA)—especially multimodal learning analytics (MMLA)—has increasingly attracted the attention… read more here.
Keywords: problem; based learning; pbl; multimodal learning ... See more keywords
GCNet: Graph Completion Network for Incomplete Multimodal Learning in Conversation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.48550/arxiv.2203.02177
Abstract: Conversations have become a critical data format on social media platforms. Understanding conversation from emotion, content and other aspects also attracts increasing attention from researchers due to its widespread application in human-computer interaction. In real-world… read more here.
Keywords: network; conversation; gcnet; multimodal learning ... See more keywords