Terrain Adaptive Estimation of Instantaneous Centres of Rotation for Tracked Robots by Cuifeng Wang, Wenjun Lv, Xiaochuan Li, Mingliang Mei

“…However, ICRs cannot be measured directly and are time-varying with terrain variation, and thus, here, we aim to develop an online estimation method to acquire the ICRs of a robot by means of data fusion technologies. First, an innovation-based extended Kalman filter (IEKF) is employed to fuse the readings from two incremental encoders and a GPS-compass integrated sensor, to provide a real-time ICR estimation. …”
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Targeting ferroptosis in prostate cancer management: molecular mechanisms, multidisciplinary strategies and translational perspectives by Hubo Yang, Xuefeng Zhang, Zongming Jia, He Wang, Jixiang Wu, Xuedong Wei, Yuhua Huang, Wenying Yan, Yuxin Lin

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AI Innovations in rPPG Systems for Driver Monitoring: Comprehensive Systematic Review and Future Prospects by Soha G. Ahmed, Katrien Verbert, Nazar Zaki, Ashraf Khalil, Hamad Aljassmi, Fady Alnajjar

“…A literature search up to April 2, 2024, across major databases, identified 344 studies; 29 were analyzed in depth, focusing on: 1) rPPG signal extraction and heart rate estimation, where deep learning improved accuracy; 2) fatigue detection, showing benefits of multimodal data fusion; 3) mental state monitoring, with machine learning classifying cognitive load and distraction; and 4) emotional state monitoring and dataset development, indicating a trend toward holistic driver assessment. …”
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3D-AOCL: Analytic online continual learning for imbalanced 3D point cloud classification by Ziqian Zeng, Jianwei Wang, Lin Wu, Weikai Lu, Huiping Zhuang

“…Online continual learning in the field of autonomous driving faces several challenges: inefficient data fusion, catastrophic forgetting, insufficient computational resources, violation of road privacy and categories imbalance. …”
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A Review of Artificial Intelligence Methods for Condition Monitoring and Fault Diagnosis of Rolling Element Bearings for Induction Motor by Omar AlShorman, Muhammad Irfan, Nordin Saad, D. Zhen, Noman Haider, Adam Glowacz, Ahmad AlShorman

“…Moreover, these techniques include signal/image processing, intelligent diagnostics, data fusion, data mining, and expert systems for time and frequency as well as time-frequency domains. …”
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Research on Fire Detection of Cotton Picker Based on Improved Algorithm by Zhai Shi, Fangwei Wu, Changjie Han, Dongdong Song

“…Therefore, in this study, we designed an improved algorithm for multi-sensor data fusion; built a cotton picker fire detection system by using infrared temperature sensors, CO sensors, and the upper computer; and proposed a BP neural network model based on improved mutation operator hybrid gray wolf optimizer and particle swarm optimization (MGWO-PSO) algorithm based on the BP neural network model. …”
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A Novel Rapeseed Mapping Framework Integrating Image Fusion, Automated Sample Generation, and Deep Learning in Southwest China by Ruolan Jiang, Xingyin Duan, Song Liao, Ziyi Tang, Hao Li

“…To address the above challenges, this study presents an automatic rapeseed mapping framework that integrates multi-source remote sensing data fusion, automated sample generation, and deep learning models. …”
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Multimodal Zero-Shot Shelf Deformation Detection Based on MEMS Sensors and Images by Hong Yan, Jingjing Fan, Yajun Liu

“…To address this issue, this study proposes a zero-shot shelf deformation detection method based on multimodal data fusion. The proposed approach integrates Micro-Electro-Mechanical Systems (MEMS) sensors and image data to establish a real-time monitoring and alert mechanism. …”
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Multi-Task Federated Split Learning Across Multi-Modal Data with Privacy Preservation by Yipeng Dong, Wei Luo, Xiangyang Wang, Lei Zhang, Lin Xu, Zehao Zhou, Lulu Wang

“…Additionally, our scheme employs an optimized attention mechanism guided by mutual information to achieve efficient multi-modal data fusion, maximizing information integration while minimizing computational overhead and preventing overfitting. …”
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RETRACTED ARTICLE: An intelligent dynamic cyber physical system threat detection system for ensuring secured communication in 6G autonomous vehicle networks by Shanthalakshmi M, Ponmagal R S

“…The proposed Intelligent Intrusion Detection System (IIDS) employs a combination of advanced learning techniques, including Data Fusion, One-Class Support Vector Machine, Random Forest, and k-Nearest Neighbor, to improve detection accuracy. …”
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Advances in the application of digital technology in orthodontic monitoring by WANG Qi, LUO Ting, LU Wei, ZHAO Tingting, HE Hong, HUA Fang

“…Furthermore, the multimodal data fusion method offers valuable insights into the monitoring of the root-alveolar relationship. …”
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Identification of maize kernel varieties based on interpretable ensemble algorithms by Chunguang Bi, Chunguang Bi, Xinhua Bi, Jinjing Liu, Hao Xie, Shuo Zhang, He Chen, Mohan Wang, Lei Shi, Lei Shi, Shaozhong Song

“…Traditional single models show limitations in processing large-scale multimodal data.MethodsThis study constructed an interpretable ensemble learning model for maize seed variety identification through improved differential evolutionary algorithm and multimodal data fusion. Morphological and hyperspectral data of maize samples were extracted and preprocessed, and three methods were used to screen features, respectively. …”
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Achieving water budget closure through physical hydrological process modelling: insights from a large-sample study by X. Zheng, D. Liu, S. Huang, H. Wang, X. Meng

“…Many existing methods aim to enforce water budget closure constraints through data fusion and bias correction approaches, often neglecting the physical interconnections between water budget components. …”
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Nonlinear Structural Fusion for Multiplex Network by Nianwen Ning, Feiyu Long, Chunchun Wang, Youjie Zhang, Yilin Yang, Bin Wu

“…However, most of these existing data fusion methods are inappropriate for researchers to apply to complex network analysis directly. …”
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A practical approach to building a calcareous nannofossil knowledge graph by Hongyi Zhao, Bin Hu, Chao Ma, Shijun Jiang, Yi Zhang, Xin Li, Lirong Chen, Can Cai, Longgang Ye, Shengjian Zhou, Chengshan Wang

“…The knowledge graph, as a key technology for semantic translation and data fusion, offers a possible solution to these challenges. …”
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From physical activity patterns to cognitive status: development and validation of novel digital biomarkers for cognitive assessment in older adults by Ling-Jie Fan, Feng-Yi Wang, Jun-Han Zhao, Jun-Jie Zhang, Yang-An Li, Jia Tang, Tao Lin, Quan Wei

“…Demographic characteristics were also incorporated, and multimodal data fusion was achieved through canonical correlation analysis. …”
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Deep Learning Applications in Ionospheric Modeling: Progress, Challenges, and Opportunities by Renzhong Zhang, Haorui Li, Yunxiao Shen, Jiayi Yang, Wang Li, Dongsheng Zhao, Andong Hu

“…Looking ahead, research will focus on developing hybrid models that integrate physical modeling with deep learning, exploring adaptive learning algorithms and multi-modal data fusion techniques to enhance long-term predictive capabilities, particularly in addressing the impact of climate change on the ionosphere. …”
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Research on water and fertilizer irrigation system of tea plantation by Xuetao Jia, Ying Huang, Yanhua Wang, Daozong Sun

“…In order to improve the accuracy of tea deficiency detection, data fusion technology was adopted. A block-based histogram is employed and similarity distance is adopted to confirm the diagnosis of absence of one or more nutrients of tea. …”
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Surface circulation characterization along the middle southern coastal region of Vietnam from high-frequency radar and numerical modeling by T. H. Tran, T. H. Tran, A. Sentchev, T. To Duy, M. Herrmann, S. Ouillon, S. Ouillon, K. C. Nguyen

“…This indicates the potential usefulness of large velocity datasets and other data fusion methods to effectively improve modeling results.…”
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Advancing Underwater Vision: A Survey of Deep Learning Models for Underwater Object Recognition and Tracking by Mahmoud Elmezain, Lyes Saad Saoud, Atif Sultan, Mohamed Heshmat, Lakmal Seneviratne, Irfan Hussain

“…Promising future directions are also discussed, emphasizing the need for domain adaptation techniques to improve generalizability, lightweight architectures for real-time performance, and multi-modal data fusion to enhance interpretability and robustness. …”
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