TensorTrack: Tensor Decomposition for Video Object Tracking by Yuntao Gu, Pengfei Zhao, Lan Cheng, Yuanjun Guo, Haikuan Wang, Wenjun Ding, Yu Liu

“…To address this issue, this paper proposes an innovative method that utilizes tensor decomposition, an underexplored concept in object-tracking research. By applying L1-norm tensor decomposition, video sequences are represented as four-mode tensors, and a real-time background subtraction algorithm is introduced, allowing for effective modeling of the target–background relationship and adaptation to environmental changes, leading to accurate and robust tracking. …”
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Hypoxia adaptation mechanism in rats’ peripheral auditory system in high altitude migration: a time series transcriptome analysis by Luoying Wang, Xingcheng Yi, Yulai Zhou, Lanzi Gongga, Shuyuan Yu, Xinyi Guo, Xiaoqiang Pan, Xiaoyun Su, Ping Wang

“…Cldn1 and Gfra2 predominantly localize within the cochlear neuron region. These results may suggest new directions for future research on acoustic acclimatization to high altitude.…”
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The Ground-Penetrating Radar Image Matching Method Based on Central Dense Structure Context Features by Jie Xu, Qifeng Lai, Dongyan Wei, Xinchun Ji, Ge Shen, Hong Yuan

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Numerical Simulation of Adiabatic Shear Bands Formation in Composites by N. A. Kudryashov, R. V. Muratov, P. N. Ryabov

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Computer modelling of coupled spaces: variations of eigenmodes frequency due to a change in coupling area by Mirosław MEISSNER

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Research on unmanned mining truck path planning based on grey wolf optimization adaptive hybrid A* and artificial potential field by HAN Yanling, LYU Jinke, ZHOU Guofeng, ZHANG Like, ZHANG Yun

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Hybrid Window Decoding for Joint Source Channel Anytime Coding System by Li Deng, Zhiping Shi, Yixin Wang, Xiaoxi Yu, Yong Liang Guan, Zhiping Xu

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Development of an algorithm for optimizing the implementation of ultrasound in the diagnostic workflow in clinical practice: preliminary phase of the RADIAL study, a project of the... by Garifallia Sakellariou, Antonella Adinolfi, Joao Madruga Dias, Arianna Damiani, Greta Carrara, Carlo Alberto Scirè, Alberto Batticciotto, Manuela Costa, Emilio Filippucci, Francesco Porta, Marco Canzoni, Annamaria Iagnocco, Georgios Filippou

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Research on a Density-Based Clustering Method for Eliminating Inter-Frame Feature Mismatches in Visual SLAM Under Dynamic Scenes by Zhiyong Yang, Kun Zhao, Shengze Yang, Yuhong Xiong, Changjin Zhang, Lielei Deng, Daode Zhang

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Wind Power Installed Capacity Forecast Based on a Two-Parameter Variable-Weight Buffer Operator and Subsidy Strategy Research by Ye Li, Xue Bai

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An Introduction to Virtual Phased Arrays for Beamforming Applications by Daniel FERNÁNDEZ COMESAÑA, Keith R. HOLLAND, Dolores GARCÍA ESCRIBANO, Hans-Elias de BREE

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Comparative Studies of Descriptor-Based Image Matching Techniques for AAV Applications by Tomasz Pogorzelski, Teresa Zielinska

“…The presented research is relevant for designing resilient localization systems.…”
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Identification of dementia and MCI cases in health information systems: An Italian validation study by Ilaria Bacigalupo, Flavia L. Lombardo, Anna Maria Bargagli, Silvia Cascini, Nera Agabiti, Marina Davoli, Silvia Scalmana, Annalisa Di Palma, Annarita Greco, Marina Rinaldi, Roberta Giordana, Daniele Imperiale, Piero Secreto, Natalia Golini, Roberto Gnavi, Franca Lovaldi, Carlo A. Biagini, Elisa Gualdani, Paolo Francesconi, Natalia Magliocchetti, Teresa Di Fiandra, Nicola Vanacore

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Exploiting Data Distribution: A Multi-Ranking Approach by Beata Zielosko, Kamil Jabloński, Anton Dmytrenko

“…In order to disperse the data, a table division into subtables was applied using reducts, which is a very well-known method from the rough sets theory. So-called local rankings were constructed for local data sources using an approach based on machine learning models, i.e., the greedy algorithm for the induction of decision rules. …”
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A novel deep learning-based 1D-CNN-optimized GRU approach for heart disease prediction by Jini Mol G., Ajith Bosco Raj T.

“…To identify the irregularities in the cardiac data pattern, a gated recurrent unit (GRU) classifier and a one-dimensional convolutional neural network (1D-CNN) are introduced. A typical genetic algorithm (GA) is used to optimize the suggested GRU network in order to pass over the local minima. …”
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A novel multi-scale and fine-grained network for large choroidal vessels segmentation in OCT by Wei Huang, Qifeng Yan, Lei Mou, Yitian Zhao, Wei Chen, Wei Chen, Wei Chen

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Applied science in the departmental universities: Inflated self-esteem and critical thinking (Оn an example of Federal Penitentiary Service’s universities of Russia) by O. A. Pogudin

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A comprehensive metric study of distributed PV consumption capacity considering multiple uncertainties by Chengmin Wang, Yangzi Wang, Fulong Song

“…Based on the distributed PV operation data under various uncertain factors, considering the PV capacity and active power loss connected to the distribution network as objective functions, and setting constraints such as power balance, node voltage, line power flow, and distributed PV output, a comprehensive measurement model of the distributed PV absorption capacity is constructed. A local chaotic search is introduced to improve the firefly algorithm, and the improved firefly algorithm is used to solve the comprehensive measurement model and output the comprehensive measurement results of the absorption capacity. …”
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Parameter sensitivity analysis for diesel spray penetration prediction based on GA-BP neural network by Yifei Zhang, Gengxin Zhang, Dawei Wu, Qian Wang, Ebrahim Nadimi, Penghua Shi, Hongming Xu

“…Machine learning has started to be used in engine research to optimize combustion and predict fuel spray characteristics. …”
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A Q-Learning Crested Porcupine Optimizer for Adaptive UAV Path Planning by Jiandong Liu, Yuejun He, Bing Shen, Jing Wang, Penggang Wang, Guoqing Zhang, Xiang Zhuang, Ran Chen, Wei Luo

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