Multimodal Data Mining Trends, Achievements, and Challenges: Systematic Literature Review by Bogdanel P. Constantin Gradinaru, Mirela Danubianu, Adina Luminita Barila

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Enhancing dance education through convolutional neural networks and blended learning by Zhiping Zhang, Wei Wang

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Survey of research on multimodal semantic communication by Zhijin QIN, Tantan ZHAO, Fan LI, Xiaoming TAO

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Multimodal data-driven prognostic model for predicting long-term outcomes in older adult patients with sarcopenia: a retrospective cohort study by Mengdie Liu, Wen Guo, Jin Peng, Jinhui Wu

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One‐Fit‐All Transformer for Multimodal Geophysical Inversion: Method and Application by Yiran Jiang, Jianwei Ma, Jieyuan Ning, Jiaqi Li, Han Wu, Tiezhao Bao

Subjects: “…multimodal data…”
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Context-Driven Automatic Target Detection With Cross-Modality Real-Synthetic Image Merging by Zhe Geng, Shiyu Zhang, Chongqi Xu, Haowen Zhou, Wei Li, Xiang Yu, Daiyin Zhu, Gong Zhang

Subjects: “…Multimodal data fusion…”
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Multitask deep learning model based on multimodal data for predicting prognosis of rectal cancer: a multicenter retrospective study by Qiong Ma, Runqi Meng, Ruiting Li, Ling Dai, Fu Shen, Jie Yuan, Danqi Sun, Manman Li, Caixia Fu, Rong Li, Feng Feng, Yonggang Li, Tong Tong, Yajia Gu, Yiqun Sun, Dinggang Shen

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Multimodal Deep Learning Model for Cylindrical Grasp Prediction Using Surface Electromyography and Contextual Data During Reaching by Raquel Lázaro, Margarita Vergara, Antonio Morales, Ramón A. Mollineda

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Multimodal cross-system virtual reality (VR) ball throwing dataset for VR biometricsGitHub by Mingjun Li, Natasha Kholgade Banerjee, Sean Banerjee

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Students’ experience and learning outcomes in multisensory environments: the moderating role of interaction modalities by Giulia Cosentino, Mirko Gelsomini, Kshitij Sharma, Michail Giannakos

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Heart failure prognosis risk assessment model based on multimodal data fusion and IoT device monitoring by Zhe Zhang, Dengao Li, Jumin Zhao, Huiting Ma, Fei Wang, Qinglian Hao

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Decision level scheme for fusing multiomics and histology slide images using deep neural network for tumor prognosis prediction by Tingting Zhao, Yongyong Ren, Hui Lu, Yan Kong

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Artificial intelligence in multimodal learning analytics: A systematic literature review by Mehrnoush Mohammadi, Elham Tajik, Roberto Martinez-Maldonado, Shazia Sadiq, Wojtek Tomaszewski, Hassan Khosravi

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Fusion of Sentiment and Market Signals for Bitcoin Forecasting: A SentiStack Network Based on a Stacking LSTM Architecture by Zhizhou Zhang, Changle Jiang, Meiqi Lu

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SRFNet: Multimodal Based Selective Receptive Field Neural Network for Time Series Forecast of Flood Range by Zhiqing Li, Zeqiang Chen, Lai Chen, Xu Tang, Nengcheng Chen

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Multimodal behavior recognition for dairy cow digital twin construction under incomplete modalities: A modality mapping completion network approach by Yi Zhang, Yu Zhang, Meng Gao, Xinjie Wang, Baisheng Dai, Weizheng Shen

Subjects: “…Multimodal data…”
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Analysis of Multimodal Data in Project Management: Prospects for Using Machine Learning by P. A. Mikhnenko

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Editorial: Advancements in AI-driven multimodal interfaces for robot-aided rehabilitation by Christian Tamantini, Christian Tamantini, Kevin Patrice Langlois, Kevin Patrice Langlois, David Rodriguez Cianca, Loredana Zollo

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Artificial intelligence in electroencephalography analysis for epilepsy diagnosis and management by Chenxi Wang, Chenxi Wang, Xinyue Yuan, Wei Jing

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Federated Learning for Fall Detection With Multimodal Residual Fusion and Pareto-Optimized Client Selection by Bao-Quan Wang, Fan Yang, Yi Wang, Fan Zhao, Yun-Fei Han, Yu-Peng Ma

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