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Multimodal Fusion for Disaster Event Classification on Social Media: A Deep Federated Learning Approach

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RAIF: A deep learning‐based architecture for multi‐modal aesthetic biometric system

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Multi-Factor Risk Analysis of Modern Fintech based on Multimodal Analytics

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Task Recommendation via Heterogeneous Multi-modal Features and Decision Fusion in Mobile Crowdsensing

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Adaptive Multimodal Industrial Fault Diagnosis With Attention-Driven Fusion Boosting Unimodal Performance

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Introduction to Multimodal and Tensor Data Analytics

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Two-Stage Dynamic Fusion Framework for Multimodal Classification Tasks

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Federated Multi-Modal Learning for Manufacturing: A Privacy-Preserving Approach to Distributed Sensor Fusion

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Resilient Sinkhorn-Based Optimal Transport Late Fusion Framework for Breast Cancer Diagnosis

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MORAL: A Multimodal Reinforcement Learning Framework for Cognitive Intelligence in Autonomous Laboratories

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Offshore Wind Energy Prediction Using Machine Learning with Multi-Resolution Inputs

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Exploration on the Application of Multimodal Biometric Feature Recognition in System Access Control

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Exercise and Sedentary Activity Recognition Using Late Fusion: Building Adaptable Uncertain Models

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Physics-Informed Multi-Modal Transformers for Machine Tool Energy Consumption Modelling and PredictionPreprint

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Machine Learning For Tree Image Segmentation

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Ranking and combining latent structured predictive scores without labeled data

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Deep Interaction Feature Fusion for Robust Human Activity Recognition

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Integrative Multi-Omics Analysis of Melanoma: Uncovering Pathways Associated with Immunotherapy OutcomesPreprint

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Multimodal Data Fusion Defense Strategy for Campus Network Security: Research on Kolmogorov Arnold Networks Combined With B‐Spline Function

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Federated Cooperative Generalized Linear Model for Distributed Multimodal Data Analysis

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A Glacier Ice Thickness Estimation Method Based on Deep Convolutional Neural Networks

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Novel Deep Learning Image Registration Techniques with Application to Microscopy Images of Metal Alloys

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MECFN: A Multi-Modal Temporal Fusion Network for Valve Opening Prediction in Fluororubber Material Level Control

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AIML and Data Analytics for Semiconductor Manufacturing

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Online calculation and prediction methods for hydrodynamic characteristics of boiler water-cooled wall

Yang, J., Kuang, S., Li, R., An, H., Li, X., Zhang, J., Huang, Z., Dang, Y., Che, D., & Deng, L. (2026) · Energy · doi:10.1016/j.energy.2026.141461

A Clinical‐Contextual Framework for Multimodal Tuberculosis Detection From Asynchronous CXR and Lung Sound Data Using Lesion‐Guided Pairing and Decision Fusion

Candra, Y., Roslidar, R., Azhary, M., Arnia, F., & Muchtar, K. (2026) · Applied Computational Intelligence and Soft Computing · doi:10.1155/acis/8834581

Multimodal Data Fusion and Classification Models Based on Deep Learning

Yang, H., & Li, S. (2026) · Procedia Computer Science · doi:10.1016/j.procs.2026.05.006

Multi-modal deep temporal adversarial network based on multi-head self-attention for breast cancer survival prediction

Xu, H., Xue, H., Yuan, H., & Huang, Z. (2026) · Computer Methods in Biomechanics & Biomedical Engineering · doi:10.1080/10255842.2026.2682550

Mitigating shortcut learning in multimodal misinformation detection via LLM-guided orthogonal disentanglement

Wang, Z., & Ou, S. (2026) · Information Processing & Management · doi:10.1016/j.ipm.2026.105043

Temporal-spatial reasoning over hypergraph knowledge structures for multimodal retrieval-augmented generation

Dillan, T., Isa, S. M., Girsang, A. S., & Suhartono, D. (2026) · Scientific Reports · doi:10.1038/s41598-026-63525-9

Using AI in Food Hydrocolloid Research: Evidence Quality, Mechanistic Explainability, and Real-Food Validation

Amin, A., & Zaman, W. (2026) · Food Reviews International · doi:10.1080/87559129.2026.2715571

Knowledge-Supervised Target Base Abnormal Activity Assessment Using Multi-Source Feature Engineering and KS-BiGRU-Attention

Wu, X., Gao, L., & Li, X. (2026) · International Conference on Electronic Engineering and Informatics (EEI) · doi:10.1109/eei70303.2026.11640472

A Deep Learning-Based Intelligent Keyframe Optimization Method for 3D Animation

Chen, X. (2026) · International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) · doi:10.1109/icdcece68961.2026.11645895

Early Pest-Stress Detection and Pest-Type Discrimination in Maize Using Multi-Source Physiological and Spectral Data with Stage-Consistency-Constrained Feature Selection

Chen, T., 党敬民, & Wang, Y. (2026) · Agriculture · doi:10.3390/agriculture16182037

Strategies for recycled plastics content verification

Zabihi, O., Brüll, R., Pfaendner, R., Malz, F., Dagley, I., & Naebe, M. (2026) · Advanced Industrial and Engineering Polymer Research · doi:10.1016/j.aiepr.2026.100284

Intelligent Visibility Estimation Under Sea Fog Conditions Based on Deep Learning

-, Z. Q., Hu, W., Ren, P., Tian, H., Ruan, C., & Song, Y. (2026) · Journal of Marine Science and Engineering · doi:10.3390/jmse14201888

Multimodal Data Fusion for Systems Improvement

Gaw, N. B., Yousefi, S., & Gahrooei, M. R. (2022) · CRC Press eBooks · doi:10.1201/9781003220978-7 · Cited by 28 · see citing works

Multimodal Data Fusion [Scanning the Issue]

Adalı, T., Christian Jutten, B., & Hansen, L. K. (2015) · Proceedings of the IEEE · doi:10.1109/jproc.2015.2461273 · Cited by 2 · see citing works

A Review of Multisensor Data Fusion Solutions in Smart Manufacturing: Systems and Trends

Tsanousa, A., Bektsis, E., Kyriakopoulos, C. A., González, A. G., Leturiondo, U., Gialampoukidis, I., Καρακώστας, Α., Vrochidis, S., & Kompatsiaris, I. Y. (2022) · Sensors · doi:10.3390/s22051734 · Cited by 100 · see citing works

Multimodal information fusion of manufacturing digital industrial scene based on federated learning optimization algorithm

Han, J., Meng, X., & Liu, T. (2024) · International Conference on Cloud Computing and Communication Engineering (CCCE) · doi:10.1117/12.3050123

A cross-disciplinary comparison of multimodal data fusion approaches and applications: Accelerating learning through trans-disciplinary information sharing

Bokade, R., Navato, A. P., Ouyang, R., Jin, X., Chou, C.-A., Ostadabbas, S., & Mueller, A. V. (2020) · Expert Systems with Applications · doi:10.1016/j.eswa.2020.113885 · Cited by 59 · see citing works