Predicting conversion of Alzheimer’s disease based on multi-modal fusion of neuroimaging and genetic data by Yang Xi, Qian Wang, Chenxue Wu, Lu Zhang, Ying Chen, Zhu Lan

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RecNet: Reinforcement Common Feature Mapping Network for Fast Template Matching in Visible-LWIR Images by Donyung Kim, Seungeon Lee, Inho Park, Geonjong Kim, Sungho Kim

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LSN-GTDA: Learning Symmetrical Network via Global Thermal Diffusion Analysis for Pedestrian Trajectory Prediction in Unmanned Aerial Vehicle Scenarios by Ling Mei, Mingyu Fu, Bingjie Wang, Lvxiang Jia, Mingyu Yu, Yu Zhang, Lijun Zhang

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Impact of Domain Knowledge and Multi-Modality on Intelligent Molecular Property Prediction: A Systematic Survey by Taojie Kuang, Pengfei Liu, Zhixiang Ren

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Complementarity-Oriented Feature Fusion for Face-Phone Trajectory Matching by Changfeng Cao, Wenchuan Zhang, Hua Yang, Dan Ruan

Subjects: “…Multi-modality trajectory matching…”
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Research and prospect of standard for biometric multi-modal fusion used with mobile devices by Guanchen LIN, Zhifei WANG

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M2Caps: learning multi-modal capsules of optical and SAR images for land cover classification by Haodi Zhang, Anzhu Yu, Kuiliang Gao, Xuanbei Lu, Xuefeng Cao, Wenyue Guo, Weiqi Lian

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Fusion of auto encoders and multi-modal data based video recommendation method by Qiuyang GU, Chunhua JU, Gongxing WU

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Prediction of Full-Frequency Deep-Sea Noise Based on Sea Surface Wind Speed and Real-Time Noise Data by Bo Yuan, Licheng Lu, Zhenzhu Wang, Guoli Song, Li Ma, Wenbo Wang

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Study of emotion recognition based on fusion multi-modal bio-signal with SAE and LSTM recurrent neural network by You-jun LI, Jia-jin HUANG, Hai-yuan WANG, Ning ZHONG

Subjects: “…multi-modal bio-signal emotion recognition…”
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An empirical study of LLaMA3 quantization: from LLMs to MLLMs by Wei Huang, Xingyu Zheng, Xudong Ma, Haotong Qin, Chengtao Lv, Hong Chen, Jie Luo, Xiaojuan Qi, Xianglong Liu, Michele Magno

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A multi-modal geospatial–temporal LSTM based deep learning framework for predictive modeling of urban mobility patterns by Sangeetha S.K.B, Sandeep Kumar Mathivanan, Hariharan Rajadurai, Jaehyuk Cho, Sathishkumar Veerappampalayam Easwaramoorthy

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Dual-Modal Approach for Ship Detection: Fusing Synthetic Aperture Radar and Optical Satellite Imagery by Mahmoud Ahmed, Naser El-Sheimy, Henry Leung

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MDAPT: Multi-Modal Depth Adversarial Prompt Tuning to Enhance the Adversarial Robustness of Visual Language Models by Chao Li, Yonghao Liao, Caichang Ding, Zhiwei Ye

Subjects: “…multi-modal…”
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A Hybrid Model for Soybean Yield Prediction Integrating Convolutional Neural Networks, Recurrent Neural Networks, and Graph Convolutional Networks by Vikram S. Ingole, Ujwala A. Kshirsagar, Vikash Singh, Manish Varun Yadav, Bipin Krishna, Roshan Kumar

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Multi-Modal Social Media Analytics: A Sentiment Perception-Driven Framework in Nanjing Districts by Meng Xia, Zhengyang Lu, Feng Wang

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Artificial Intelligence in Emotion Quantification : A Prospective Overview by Feng Liu

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Enhancing precision in multiple sclerosis lesion segmentation: A U-net based machine learning approach with data augmentation by Oezdemir Cetin, Berkay Canel, Gamze Dogali, Unal Sakoglu

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Hybrid Graph Representation Learning for Carotid Artery Stenosis Detection Based on Multimodal Retinal OCTA Images by Wenting Lan, Jinkui Hao, Shengjun Zhou, Jingfeng Zhang, Shaodong Ma, Yitian Zhao

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Multi-Modal Fusion of Routine Care Electronic Health Records (EHR): A Scoping Review by Zina Ben-Miled, Jacob A. Shebesh, Jing Su, Paul R. Dexter, Randall W. Grout, Malaz A. Boustani

Subjects: “…multi-modal fusion…”
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