Human Pose Recognition Based on Depth Image Multifeature Fusion by Haikuan Wang, Feixiang Zhou, Wenju Zhou, Ling Chen

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Deep features fusion for user authentication based on human activity by Yris Brice Wandji Piugie, Christophe Charrier, Joël Di Manno, Christophe Rosenberger

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CT and MRI image fusion based on variance and pixel significance by Boubakeur Latreche

Subjects: “…Image fusion…”
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Research on Sarcastic Emotion Recognition Based on Multiple Feature Fusion by Si Kaihao

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Multimodal Recommendation System Based on Cross Self-Attention Fusion by Peishan Li, Weixiao Zhan, Lutao Gao, Shuran Wang, Linnan Yang

“…We propose MR-CSAF, a novel multimodal recommendation algorithm using cross-self-attention fusion. Building on FREEDOM, our approach introduces an adaptive modality selector that dynamically weights each modality’s contribution to product similarity, enabling more accurate product relationship graphs and optimized modality representations. …”
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Pedestrian Reidentification Algorithm Based on Local Feature Fusion Mechanism by Xiaobing Liu

“…Feature extraction is carried out for detected pedestrian parts with significant features, and new fusion features are generated. By calculating distance measurement between image features, pedestrians are classified and recognized. …”
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Smartphone-based indoor localization by fusion of acoustic ranging and PDR by Mao PANG, Mei WANG, Xiyu SONG, Liyan LUO, Kun RUAN

“…A novel indoor localization algorithm that integrates acoustic ranging and pedestrian dead reckoning (PDR) algorithm was presented,to reduce the accumulated error of the inertial sensors in the process of indoor positioning using PDR.Firstly,the PDR was used for position estimation.Then,the distance between the mobile phone and the wall was measured by using sound waves,and the cumulative error in the PDR was corrected by combining the above position and the distance with the known indoor map information.Hence,long-term stable indoor positioning can be achieved without laying out any nodes.In order to solve the problem that the echo signals reflected by the wall under long-distance conditions were difficult to detect,signal enhancement on the echoes reflected from the target wall was performed by using beamforming,taking advantage of the characteristics of the built-in dual microphones in the smartphone,then the effective measurement distance was increased and the application range of the proposed method was expanded.Experimental results show that the average positioning error of the proposed fusion localization method is 0.427 m.Compared with the results of using PDR alone,the average positioning error is reduced by 2.748 m.…”
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Method of fingerprint and voiceprint based decision level fusion recognition by Jianwu ZHANG, Jiajia YANG, Zhendong WU

“…Because of strong complementarity in the recognition environment and the low correlation characteristics of the two features,a fingerprint and voiceprint based decision level fusion recognition method was proposed.After extracting the features and recognition of corresponding fingerprint and voiceprint,the second comparison of choosing model (SCCM) was used to classify at the decision-making level and judge whether to enable voiceprint recognition according to the category,reduced the average data processing volume of the dual-mode fushion system by 32.8%.Experiments applied to FVC2002DB1 fingerprint library and self-collecting voiceprint library.The experimental results show that the multi-biometrics fusion effectively solves the single-modal recognition limitation and the recognition rate improves nearly 5.08% and 4.60% as well as get a more stable system.…”
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Exploiting Optimal Threshold for Decision Fusion in Wireless Sensor Networks by Zhaohui Yuan, Haiying Xue, Yiqin Cao, Xiangmao Chang

“…Decision fusion has been adopted in a number of sensor systems to deal with sensing uncertainty and enable the sensors to collaborate with each other. …”
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Deep learning for multi-modal data fusion in IoT applications by Anila Saghir, Anum Akbar, Asma Zafar, Asif Hassan

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Big data architecture analysis and data security fusion technology by Xiaojun LIU, Juan WU, Xiaoqing XU

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Multidomain Feature Fusion Network for Fault Diagnosis of Rolling Machinery by Dewei Yang, Kefa Zhou, Feng Qi, Kai Dong

“…This study establishes a multidomain feature fusion network (MFFN) to extract and fuse multidomain features through a novel multistream architecture. …”
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Online Bayesian Data Fusion in Environment Monitoring Sensor Networks by Yang Dingcheng, Wang Zhenghai, Xiao Lin, Zhang Tiankui

“…We briefly review the errors on the data transfer channel between the sensor quantifying the physical phenomenon and the fusion node, and a discrete K -ary input and K -ary output channel is presented to model the data transfer channel, where K is the number of quantification levels at the sensor. …”
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Spinal Fusion in the Next Generation: Gene and Cell Therapy Approaches by Marta Barba, Claudia Cicione, Camilla Bernardini, Vincenzo Campana, Ernesto Pagano, Fabrizio Michetti, Giandomenico Logroscino, Wanda Lattanzi

“…Bone fusion represents a challenge in the orthopedics practice, being especially indicated for spine disorders. …”
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Self-Attention Multilayer Feature Fusion Based on Long Connection by Chu Yuezhong, Wang Jiaqing, Liu Heng

“…Feature fusion is an important part of building high-precision convolutional neural networks. …”
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Malware classification method based on static multiple-feature fusion by Bo-wen SUN, Yan-yi HUANG, Qiao-kun WEN, Bin TIAN, Peng WU, Qi LI

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A Survey on Multisensor Fusion and Consensus Filtering for Sensor Networks by Wangyan Li, Zidong Wang, Guoliang Wei, Lifeng Ma, Jun Hu, Derui Ding

“…Multisensor fusion and consensus filtering are two fascinating subjects in the research of sensor networks. …”
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Deep attributes and decisions fusion for no-reference video quality analysis by Adil Baig

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Malposition of Cage in Minimally Invasive Oblique Lumbar Interbody Fusion by Chaiwat Kraiwattanapong, Vanlapa Arnuntasupakul, Rungthiwa Kantawan, Gun Keorochana, Thamrong Lertudomphonwanit, Pakkanut Sirijaturaporn, Methawut Thonginta

“…Minimally invasive oblique lumbar interbody fusion is one of the novel lateral lumbar interbody fusion techniques for which the successful early results have been reported. …”
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Research on Gait Recognition Based on GaitSet and Multimodal Fusion by Xiling Shi, Wenqiang Zhao, Huandou Pei, Hongru Zhai, Yongxia Gao

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