An Improved AMCL Algorithm Based on Laser Scanning Match in a Complex and Unstructured Environment by Gang Peng, Wei Zheng, Zezao Lu, Jinhu Liao, Lu Hu, Gongyue Zhang, Dingxin He

“…Adaptive Monte Carlo localization (AMCL) algorithm has a limited pose accuracy because of the nonconvexity of the laser sensor model, the complex and unstructured features of the working environment, the randomness of particle sampling, and the final pose selection problem. …”
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Association between Sympathetic Nervous System Activation, Obesity and Insulin Resistance by A. I. Kochetkov, O. D. Ostroumova, A. V. Starodubova, Т. М. Оstroumova, D. A. Bondarenko

“…The review discusses the problem of overweight, obesity and metabolic syndrome and their activating effect on the sympathetic nervous system and the increase in blood pressure. …”
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Research on data-driven and correlation-based electric energy error analysis method by RONG Xueqin, DING Yingying, LIU Yong

“…A supplementary strategy is proposed to use operational errors as a reliable source of load point errors in traditional methods, in response to the problem of insufficient detection of load points in electric energy meters and the inability of some load point errors to fully represent the full range measurement characteristics caused by the limited load point calibration method. …”
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Recent Developments in the Use of Covalent Organic Frameworks for Photocatalytic Water Decontamination by Víctor Cepa-López, Miguel Sánchez-Fuente, Alicia Moya, Rubén Mas-Ballesté

“…This review explores the structural features that govern the photocatalytic activity of COFs, including conjugation, bandgap modulation, and donor–acceptor structures. …”
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Reducing overfitting in vehicle recognition by decorrelated sparse representation regularisation by Wanyu Wei, Xinsha Fu, Siqi Ma, Yaqiao Zhu, Ning Lu

“…Abstract Most state‐of‐the‐art vehicle recognition methods benefit from the excellent feature extraction capabilities of convolutional neural networks (CNNs), which allow the models to perform well on the intra‐dataset. …”
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Ensemble Learning with Multiclassifiers on Pediatric Hand Radiograph Segmentation for Bone Age Assessment by Rui Liu, Yuanyuan Jia, Xiangqian He, Zhe Li, Jinhua Cai, Hao Li, Xiao Yang

“…We considered the hand segmentation task as a classification problem. The optimal segmentation threshold for each image was regarded as the prediction target. …”
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Travel Time Prediction in a Multimodal Freight Transport Relation Using Machine Learning Algorithms by Nikolaos Servos, Xiaodi Liu, Michael Teucke, Michael Freitag

“…Using different combinations of features derived from the data, we have built several models for travel time prediction. …”
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EARLY NEOPROTEROZOIC GRANITOIDS IN THE RYAZANOVSKY MASSIF OF THE YENISEI RIDGE AS INDICATORS OF THE GRENVILLE OROGENY AT THE WESTERN MARGIN OF THE SIBERIAN CRATON by A. D. Nozhkin, O. M. Turkina, I. I. Likhanov, Yu. L. Ronkin

“…Studies of the geological history of the Yenisei Ridge are important not only for understanding the tectonic evolution of mobile belts at the boundaries of ancient cratons but also for problem solving whether the Siberian craton was a part of the Rodinia supercontinent. …”
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A Novel Fault Diagnosis Method for Rolling Bearing Based on Improved Sparse Regularization via Convex Optimization by Dongjie Zhong, Cancan Yi, Han Xiao, Houzhuang Zhang, Anding Wu

“…Moreover, the concerned features are submerged in strong background noise. …”
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Hyper-LKCNet: Exploring the Utilization of Large Kernel Convolution for Hyperspectral Image Classification by Rong Liu, Zhilin Li, Jiaqi Yang, Jian Sun, Quanwei Liu

“…To explore the potential of large kernel convolution, we propose a hyperspectral image (HSI) classification algorithm in this article that utilizes a large kernel convolution module combined with multiscale coattention and an adaptive geometric feature (AGF) classifier, named Hyper-LKCNet. By integrating this feature enhancement module, our method effectively adjusts the contributions of various spectral and spatial features, ensuring that the network captures critical but easily overlooked information across both dimensions and improving the performance to classify HSI. …”
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Influence of Circumferential Convergent Wedge Pocket on the Segmented Annular Seal’s Static and Dynamic Characteristics by Shuang Wang, Dan Sun, Zemin Yang, Wenfeng Xu, Huan Zhao

“…Aiming at the problem of abnormal wear caused by the poor dynamic characteristics of aeroengine segmented annular seals, according to the hydrodynamic lubrication theory, based on the conventional structure featuring the Rayleigh step profile rectangular pocket (RP), novel structures with the circumferential linear convergent pocket (CLCP) and the circumferential parabolic convergent pocket (CPCP) were proposed. …”
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Seismic phase recognition model with low SNR based on U-net by Jianxian Cai, Zhongjie Sun, Mengying Zhang, Fenfen Yan, Li Wang, Ling Li

“…Aiming at the problem of low recognition accuracy and high missed detection rate of seismic phase recognition of low signal-to-noise ratio seismic signals, a new seismic phase recognition model UBAN (U-net-Bidirectional Gated Recurrent Unit-Attention Network) is designed based on U-net neural network framework, combined with Bi-GRU bidirectional gated recurrent unit and Attention attention mechanism. …”
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WideHRNet: An Efficient Model for Human Pose Estimation Using Wide Channels in Lightweight High-Resolution Network by Esraa Samkari, Muhammad Arif, Manal AlGhamdi, Mohammed A. Al Ghamdi

“…Therefore, we present an efficient network that can estimate small joints by capturing more features by increasing the network’s channels. …”
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Typology of Leadership Styles Depending on the Nature of Decision-Making and Business/Person Orientation by A. A. Galiakberova, A. G. Mukhametshin, S. P. Dyrin, N. M. Asratyan, I. V. Kornilova, R. M. Galiev

“…The results obtained show that this methodology helps to reveal most efficiently the features of management at modern Russian enterprises. …”
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Integrate Question Information With Learning Behavior for Knowledge Tracing by Sheng Su, Pingfei Zeng, Chunhua Kang, Tao Xin

“…While traditional approaches such as Bayesian Knowledge Tracing and Deep Knowledge Tracing have established a solid foundation in this field, previous research often overlooked the complex interactions between problem features and learner behaviors. To address this gap, this paper introduces the Knowledge Tracking Model for Integrating Question Information and Learning Behaviour (IQILB-KT), a novel framework that enhances the precision of knowledge tracing in online educational systems. …”
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Selecting change image for efficient change detection by Rui Huang, Ruofei Wang, Yuxiang Zhang, Yan Xing, Wei Fan, Kai Leung Yung

“…Abstract Change detection (CD) is a fundamental problem that aims at detecting changed objects from two observations. …”
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Clustering-Driven Optimization of RRH-BBU Assignment for Green Communication Networks With Big Data Analytics by Asmaa Ibrahim, Ahmed Elsheikh, Bassem Mokhtar, Josep Prat

“…This study employs clustering techniques to divide the complex NLP problem into simpler optimization tasks, achieving optimal RRH-BBU assignments. …”
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Optimal Coordination of Directional Overcurrent Relays in Microgrids Considering European and North American Curves by León F. Serna-Montoya, Sergio D. Saldarriaga-Zuluaga, Jesús M. López-Lezama, Nicolás Muñoz-Galeano

“…This paper presents a novel approach to protection coordination in AC MGs using non-standard features of directional over-current relays (DOCRs). …”
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A cartographic generalization method for 3D visualization of trajectories in space–time cubes: case study of epidemic spread by Fei Yang, Jie Shen, Fengzhen Zhu, Junrui Zhang

“…To address this gap, we propose a global-local cooperative optimization method based on cognitive load theory, which utilizes cartographic generalization to emphasize local features and clarity, while treating 3D visualization as a global opacity optimization problem to enhance visibility and reduce occlusions. …”
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Traumatic brain injury in Brazil: an epidemiological study and systematic review of the literature by Ana Luísa Gonçalves MAGALHÃES, João Luís Vieira Monteiro de BARROS, Maíra Glória de Freitas CARDOSO, Natália Pessoa ROCHA, Rodrigo Moreira FALEIRO, Leonardo Cruz de SOUZA, Aline Silva de MIRANDA, Antônio Lúcio TEIXEIRA

“…ABSTRACT Background: Traumatic brain injury (TBI) is a serious public health problem worldwide. Although TBI is common in developing countries, there are few epidemiological studies. …”
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