Search Results - "Multi-modal data"

A strategy for network multi-layer information fusion based on multimodel in user emotional polarity analysis

Authors: Ronghua Wang Peng Zhuang

Source: International Journal of Cognitive Computing in Engineering, Vol 6, Iss, Pp 120-130 (2025)

Subject Terms: Social media, Multi-modal data, Electronic computers. Computer science, Science, Emotional analysis, Multi-layer information fusion, QA75.5-76.95, Emotional polarity

Access URL: https://doaj.org/article/f68aeb338cee4ab9b09893f50d4da9c8

Domain adaptive FL for edge-enabled privacy-preserving MRI analysis

Authors: Saeed Iqbal Imran Arshad Choudhry Inam Ullah et al.

Source: Alexandria Engineering Journal, Vol 128, Iss, Pp 324-339 (2025)

Subject Terms: Multi-modal data, Federated learning, Domain adaptive learning, TA1-2040, Domain-specific, Engineering (General). Civil engineering (General), Data privacy, Privacy preservation

Access URL: https://doaj.org/article/2408e7493fde46a2a777e7c16af5d3c7

A novel estimation of scientific and technological innovation index using multi-modal data

Authors: Yating Qiu Zuoqi Chen Chenru Zou et al.

Source: Geo-spatial Information Science, Pp 1-16 (2025)

Subject Terms: QB275-343, multi-modal data fusion, Mathematical geography. Cartography, Nighttime light data (NTL), GA1-1776, point of interest (POI), Geodesy, scientific and technological innovation (STI)

Access URL: https://doaj.org/article/5394f027400142bdb6704d202b3358d7

LLMs Can Check Their Own Results toMitigate Hallucinations inTraffic Understanding Tasks

Authors: Mahawatta, Malsha Cabrero-Daniel, Beatriz Yu, Yinan et al.

Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). :114-130

Subject Terms: Natural Language Processing, Språkbehandling och datorlingvistik, automotive, hallucination detection, large language models, multi-modal data, perception systems, safety-critical systems

Access URL: https://gup.ub.gu.se/publication/350675

Dynamic GNN-based multimodal anomaly detection for spatial crowdsourcing drone services

Authors: Junaid Akram Walayat Hussain Rutvij H. Jhaveri et al.

Source: Digital Communications and Networks, Vol 11, Iss 5, Pp 1639-1656 (2025)

Subject Terms: Anomaly detection, Multi-modal data, GNN, IoDT, Data fusion, Information technology, T58.5-58.64

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2352864825000355; https://doaj.org/toc/2352-8648

Access URL: https://doaj.org/article/36a4e201ac4f43129d46e87b70ef7c05

A novel approach for enhancing personalized motion training and performance evaluation with Attn-MVAGCN

Authors: Wensuo Lian Yuxin He Jindong Xu

Source: Alexandria Engineering Journal, Vol 129, Iss , Pp 53-66 (2025)

Subject Terms: Deep learning, Posture estimation, Motion training, Effect evaluation, MobileViT, Multi-modal data, Engineering (General). Civil engineering (General), TA1-2040

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1110016825006945; https://doaj.org/toc/1110-0168

Access URL: https://doaj.org/article/11c15d18be8a4563b749a74698c41c73

Research on the prediction and policy optimization model of Anhui merchants' return investment based on decision transformer

Authors: Yongqing Zhou

Source: Discover Artificial Intelligence, Vol 5, Iss 1, Pp 1-29 (2025)

Subject Terms: Decision transformer, Multi modal data fusion, Dynamic policy optimization, Technology-policy-capital collaboration, Regional economic governance, Computational linguistics. Natural language processing, P98-98.5, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://doaj.org/toc/2731-0809

Access URL: https://doaj.org/article/c89ec46232da43af91feeb28bdfaddde

INSIGHT: A next-generation framework for proactive mental health detection using advanced data fusion and deep learning

Authors: Chidambaranathan, Senthilnathan Puli, Balaram Sundaramoorthy, Pandian et al.

Source: International Journal of Science and Research Archive. 14:821-827

Subject Terms: Attention-based LSTM (ALSTM), Proactive intervention, Multi-modal data fusion, Data augmentation, Transformers, Mental health detection, Adaptive generative algorithms, Campus mental health analytics, University students, label imbalance

Swin Transformer With Late-Fusion Feature Aggregation for Multi-Modal Vehicle Reidentification

Authors: Reza Fuad Rachmadi Supeno Mardi Susiki Nugroho I. Ketut Eddy Purnama

Source: IEEE Access, Vol 13, Pp 130393-130405 (2025)

Subject Terms: multi-modal data, multi-attention head, Electrical engineering. Electronics. Nuclear engineering, Deep neural network, vehicle reidentification, swin transformer, TK1-9971

Access URL: https://doaj.org/article/9594816165614ad0b398b2fc4241bccc

Multi-Modal Social Media Analytics: A Sentiment Perception-Driven Framework in Nanjing Districts

Authors: Meng Xia Zhengyang Lu Feng Wang

Source: IEEE Access, Vol 13, Pp 12603-12622 (2025)

Subject Terms: multi-modal data analysis, Electrical engineering. Electronics. Nuclear engineering, urban-rural perceptions, Social media analytics, TK1-9971

Access URL: https://doaj.org/article/2bcd6355b1164d57938d7f9f7c7b34d7

A Multi-Modal Approach for the Molecular Subtype Classification of Breast Cancer by Using Vision Transformer and Novel SVM Polyvariant Kernel

Authors: Vinayak Shukla null Kaarthika Archana Mathur et al.

Source: IEEE Access, Vol 13, Pp 97545-97558 (2025)

Subject Terms: histopathological whole-slide images, multi-modal data, utility kernel, copy number variation, gene expression, Electrical engineering. Electronics. Nuclear engineering, Breast cancer molecular subtype classification, TK1-9971

Access URL: https://doaj.org/article/feddc52256264ce893ed7f4172f1ecb1

A Transformer-Based Multi-Scale Deep Learning Model for Lung Cancer Surgery Optimization

Authors: Pengfei Zhu Tingmin Wang Fan Yang et al.

Source: IEEE Access, Vol 13, Pp 70044-70054 (2025)

Subject Terms: multi-modal data integration, lung cancer surgery, risk assessment, multi-scale deep learning, personalized medicine, Electrical engineering. Electronics. Nuclear engineering, Transformer-based model, TK1-9971

Access URL: https://doaj.org/article/c3c8461027a8494f8a3624e69b97c6d4

HCMMA-Net: A Hybrid Convolutional Multi-Modal Attention Network for Human Activity Recognition in Smart Homes Using Wearable Sensor Data

Authors: Nazish Ashfaq Zeeshan Aziz Muhammad Hassan Khan et al.

Source: IEEE Access, Vol 13, Pp 104106-104119 (2025)

Subject Terms: smart homes, wearable sensors, ensemble deep networks, time series multi-modal data, Human activity recognition, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Access URL: https://doaj.org/article/d8d5b11a9b074309b6298c66f93e5ca1

Integrating multi-modal learning analytics dashboard in K-12 education: insights for enhancing orchestration and teacher decision-making

Authors: Isabella Possaghi Boban Vesin Feiran Zhang et al.

Source: Smart Learning Environments, Vol 12, Iss 1, Pp 1-34 (2025)

Subject Terms: Smart orchestration, Learning analytics, Teacher-facing dashboard, Multi-modal data, Special aspects of education, LC8-6691

File Description: electronic resource

Relation: https://doaj.org/toc/2196-7091

Access URL: https://doaj.org/article/05608bb2b97c4783b85d7b7eecd138ab

Advancing EEG-based biometric identification through multi-modal data fusion and deep learning techniques

Authors: Touseef Ur Rehman Madallah Alruwaili Muhammad Hameed Siddiqi et al.

Source: Complex & Intelligent Systems, Vol 11, Iss 9, Pp 1-19 (2025)

Subject Terms: EEG-based biometric identification, Multi-modal data fusion, Deep learning, Pattern recognition, Complex systems optimization, Electronic computers. Computer science, QA75.5-76.95, Information technology, T58.5-58.64

File Description: electronic resource

Relation: https://doaj.org/toc/2199-4536; https://doaj.org/toc/2198-6053

Access URL: https://doaj.org/article/264909631cef405e9b3af495be9a3d44

Mamba-fusion for privacy-preserving disease prediction

Authors: Muhammad Kashif Jabbar Huang Jianjun Ayesha Jabbar et al.

Source: Scientific Reports, Vol 15, Iss 1, Pp 1-20 (2025)

Subject Terms: Privacy-preserving federated learning, Multi-modal data fusion, Hierarchical aggregation mechanism, Chronic disease prediction, Differential privacy in healthcare, Scalable healthcare analytics, Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/c485cddf35a142c8921127cf28c9e765

Future Forecast Tokens: A Global, Auditable, and Reproducible Framework for Planetary-Scale Predictive Intelligence

Authors: Kumar, Amit

Subject Terms: Digital Twin, Future Forecast Tokens, Global RAG, Blockchain, Generative AI, Explainable AI, Planetary AI, Multi-Modal Data, Rag

Enhancing mental health diagnostics through deep learning-based image classification

Authors: Lixin Zhang Ruotong Zeng

Source: Frontiers in Medicine, Vol 12 (2025)

Subject Terms: Medicine (General), R5-920, uncertainty quantification, multi-modal data fusion, clinical-informed adaptation, deep learning, mental health diagnostics

Access URL: https://doaj.org/article/e710ba72368d4b399360fab114985bd3

Multi-modal Market Manipulation Detection in High-Frequency Trading Using Graph Neural Networks

Authors: Chen, Yuexing Li, Maoxi Shu, Mengying et al.

Source: Journal of Industrial Engineering and Applied Science; Vol. 2 No. 6 (2024); 111-120

Subject Terms: Machine Learning, Multi-modal Data Fusion, High-Frequency Trading, Graph Neural Networks, Market Manipulation Detection

File Description: application/pdf

Access URL: https://www.suaspress.org/ojs/index.php/JIEAS/article/view/v2n6a12

A contrastive learning approach to integrate spatial transcriptomics and histological images

Authors: Yu Lin Yanchun Liang Duolin Wang et al.

Source: Comput Struct Biotechnol J
Computational and Structural Biotechnology Journal, Vol 23, Iss, Pp 1786-1795 (2024)

Subject Terms: 0301 basic medicine, Spatial transcriptomics, 0303 health sciences, 03 medical and health sciences, Multi-modal data integration, Contrastive learning, Tissue architecture identification, Graph neural network, TP248.13-248.65, Biotechnology, Research Article

Access URL: https://pubmed.ncbi.nlm.nih.gov/38707535
https://doaj.org/article/38c75f58ae0645099f30bf3164b7bed4