Exploiting Attitude Sensing in Vision-Based Navigation for an Airship by Luiz G. B. Mirisola, Jorge Dias

“…Visual odometry is also fused with the GPS, and ground plane maps are generated from the estimated vehicle poses and used to evaluate the results. …”
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Decision Fusion for Structural Damage Detection: Numerical and Experimental Studies by Yong Chen, Senyuan Tian, Bingnan Sun

“…Then the decision fusion strategy was implemented to join the subdecisions from these three methods. The fused results are shown to be superior to those from single method.…”
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Improving VANETs Connectivity with a Totally Ad Hoc Living Mobile Backbone by Joilson Alves Junior, Emilio C. G. Wille

“…In big cities, the metropolitan buses that travel on exclusive lanes may be used to set up a metropolitan vehicular data network (backbone), raising the connectivity among the vehicles. …”
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Pengembangan Popup Storybook berbasis Augmented Reality sebagai Media Alternatif Pembelajaran Bercerita by Arief Triatmaja Permana Sadewa, Herman Tolle, Tri Astoto Kurniawan

“…Namun, dari hasil wawancara kepada siswa menunjukkan bahwa media ajar buku sudah kurang diminati. Media ajar buku cerita bergambar hanya dipilih sebesar 23% oleh total siswa yang diwawancarai. …”
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Conv‐ELSTM: An ensemble deep learning approach for predicting short‐term wind power by Guibin Wang, Xinlong Huang, Yiqun Li, Hong Wang, Xian Zhang, Jing Qiu

“…Subsequently, an ensemble of long short‐term memory (LSTM) networks is developed to forecast wind power using the fused features, thereby mitigating the disadvantage of a single prediction model. …”
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Research on autonomous navigation of mobile robots based on IA-DWA algorithm by Quanling He, Zongyan Wang, Kun Li, Yuting Zhang, Menglong Li

“…First, the data from the odometer and the inertial measurement unit (IMU) are fused using the extended Kalman filter (EKF) to reduce the error caused by wheel slippage on the mobile robot’s positioning and improve the mobile robot’s positioning accuracy. …”
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Autophagy in Stem Cell Biology: A Perspective on Stem Cell Self-Renewal and Differentiation by Xihang Chen, Yunfan He, Feng Lu

“…Autophagy is a highly conserved cellular process that degrades modified, surplus, or harmful cytoplasmic components by sequestering them in autophagosomes which then fuses with the lysosome for degradation. As a major intracellular degradation and recycling pathway, autophagy is crucial for maintaining cellular homeostasis, as well as for remodeling during normal development. …”
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Effect of a Rapid Tooling Technique in a 3D Printed Part for Developing an EDM Electrode by Turki Alamro, Mohammed Yunus, Rami Alfattani, Ibrahim A. Alnaser

“…The copper-coated FDM (CCF) and solid copper (SC) electrodes are used to conduct experiments on a die-sinking EDM machine using tool alloy steel as a workpiece. …”
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Information-Fusion Methods Based Simultaneous Localization and Mapping for Robot Adapting to Search and Rescue Postdisaster Environments by Hongling Wang, Chengjin Zhang, Yong Song, Bao Pang

“…Several fusion approaches, parallel measurements filtering, exploration trajectories fusing, and combination sensors’ measurements and mobile robots’ trajectories, are proposed. …”
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Differences in Nanoplastic Formation Behavior Between High-Density Polyethylene and Low-Density Polyethylene by Hisayuki Nakatani, Teruyuki Yamaguchi, Mika Asano, Suguru Motokucho, Anh Thi Ngoc Dao, Hee-Jin Kim, Mitsuharu Yagi, Yusaku Kyozuka

“…High-Density Polyethylene (HDPE) and Low-Density Polyethylene (LDPE) films were used to create nanoplastic (NP) models, with the shape of delamination occurring during degradation. …”
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Empirical Mode Decomposition and Neural Networks on FPGA for Fault Diagnosis in Induction Motors by David Camarena-Martinez, Martin Valtierra-Rodriguez, Arturo Garcia-Perez, Roque Alfredo Osornio-Rios, Rene de Jesus Romero-Troncoso

“…In this work, a novel digital structure to implement the empirical mode decomposition (EMD) for processing nonstationary and nonlinear signals using the full spline-cubic function is presented; besides, it is combined with an adaptive linear network (ADALINE)-based frequency estimator and a feed forward neural network (FFNN)-based classifier to provide an intelligent methodology for the automatic diagnosis during the startup transient of motor faults such as: one and two broken rotor bars, bearing defects, and unbalance. …”
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MCF-DTI: Multi-Scale Convolutional Local–Global Feature Fusion for Drug–Target Interaction Prediction by Jihong Wang, Ruijia He, Xiaodan Wang, Hongjian Li, Yulei Lu

“…The extracted features are then weighted and fused, enabling comprehensive feature representation to enhance the predictive power of the model. …”
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Image Dehazing Based on Improved Color Channel Transfer and Multiexposure Fusion by Shaojin Ma, Weiguo Pan, Hongzhe Liu, Songyin Dai, Bingxin Xu, Cheng Xu, Xuewei Li, Huaiguang Guan

“…First, the image is preprocessed using a color channel transfer method based on k-means. …”
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Drug-Gene Interaction Prediction Method through Cross Granularity Subgraph Contrastive Learning and Attention Mechanism Fusion by HU Dongdong, PENG Yang, TAN Shuqiu, ZHU Xiaofei

“…In addition, most methods use a simple way for the node representation of drugs and genes fusing, which fais to effectively use the information represented by nodes for the classification of interaction relationships. …”
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Improved Image Fusion in PET/CT Using Hybrid Image Reconstruction and Super-Resolution by John A. Kennedy, Ora Israel, Alex Frenkel, Rachel Bar-Shalom, Haim Azhari

“…To provide PET/CT image fusion with an improved PET resolution and better contrast ratios than standard reconstructions. Method. Using a super-resolution algorithm, several PET acquisitions were combined to improve the resolution. …”
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Methods Research on Correction for Intracranial Metal Artifacts Based on Prior Image Utilization by Zonggui CHEN, Ningning WEI, Zhoufan LI, Guihong PAN, Minjiang HUANG

“…In projecting the trajectory of metallic matter, the interpolation correction of the original image’s projection data is obtained using the prior image as a reference, and the image is fused with the metal-containing material only image to produce the final corrected image. …”
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Multimodal Deep Feature Fusion (MMDFF) for RGB-D Tracking by Ming-xin Jiang, Chao Deng, Ming-min Zhang, Jing-song Shan, Haiyan Zhang

“…Deep RGB, depth, and motion information can be effectively fused at multiple layers via MMDFF model. Finally, multimodal fusion deep features are sent into the C-COT tracker to obtain the tracking result. …”
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FFA-GAN: A Generative Adversarial Network Based on Feature Fusion Attention for Intelligent Safety Monitoring by R. Chang, B. Zhang, Y. Zhang, S. Gao, S. Zhao, Y. Rao, X. Zhai, T. Wang, Y. Yang

“…However, the current detection algorithms have limited abilities under adverse conditions, especially in regions like Yunnan Province with complex terrain. To address this issue, we propose a method that utilizes infrared and visible images to make the images more informative, thereby improving the accuracy of the detection algorithm for electric power construction site safety. …”
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Machining Path Optimization of Inductively Coupled Plasma Based on Surface Heat Transfer Model by Peiqi Jiao, Bin Fan, Qiang Xin, Xiang Wu, Hong Wang

“…Inductively coupled plasma (ICP), a non-contact optical processing method, has been widely used in the preparation of fused quartz. However, the thermal effect during processing inevitably affects the stability of the removal rate, reduces the processing accuracy, and restricts the further development of plasma processing. …”
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Short-Term Traffic Flow Prediction of Expressway: A Hybrid Method Based on Singular Spectrum Analysis Decomposition by Chunyan Shuai, Zhengyang Pan, Lun Gao, HongWu Zuo

“…Singular Spectrum Analysis (SSA) decomposes the traffic flow into one principle component and three random components, and then in terms of different characteristics of these components, Long Short-Term Memory (LSTM) and Support Vector Regression (SVR) are applied to make prediction of different components, respectively. By fusing respective forecast results, SSA-LSTM-SVR obtains the final short-term predictive value. …”
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