From pixels to letters: A high-accuracy CPU-real-time American Sign Language detection pipeline by Jonas Rheiner, Daniel Kerger, Matthias Drüppel

“…For this we calculate accuracy as a function of validation set size, and thus ensure sufficient data is allocated for evaluation. …”
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Development of High-Precision Local and Regional Ionospheric Models Based on Spherical Harmonic Expansion and Global Navigation Satellite System Data in Serbia by Dušan Petković, Oleg Odalović, Aleksandra Nina, Miljana Todorović-Drakul, Aleksandra Kolarski, Sanja Grekulović, Stefan Krstić

“…This study presents an indirect approach in which the total electron content (TEC), a fundamental parameter for ionospheric conditions, is modelled as a harmonic function using spherical harmonic (SH) expansion. Station-specific (local) and regional ionospheric models are developed by decomposing ionospheric influence into deterministic and stochastic components. …”
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Assessing the metabolism of the olfactory circuit by use of 18F-FDG PET-CT imaging in patients suspected of suffering from Alzheimer’s disease or frontotemporal dementia by Daniël S. L. Loewenstein, Max van Grinsven, Cécile de Pont, Paul L. J. Dautzenberg, Astrid M. van Strien, Dylan Henssen

“…Abstract Purpose The loss of olfactory function is known to occur in patients suffering from (behavioral variant) frontotemporal dementia ((bv)FTD) and Alzheimer’s disease (AD), although different pathophysiological mechanisms underpin this clinical symptom in both disorders. …”
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A novel method for power transformer fault diagnosis considering imbalanced data samples by Jun Chen, Yong Wang, Lingming Kong, Yilong Chen, Mianzhi Chen, Qian Cai, Gehao Sheng

“…To address this issue and enhance the accuracy and operational efficiency of power transformer fault diagnosis models, this paper presents a novel fault diagnosis model that integrates Neighborhood Component Analysis (NCA) and k-Nearest Neighbor (KNN) learning, with the incorporation of correction factors.MethodsThe methodology begins by introducing a correction factor into the objective function of the NCA algorithm to reduce the impact of sample imbalance on model training. …”
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A new approach to estimate the heat thresholds at the county level in China by Qian Yin, Jinfeng Wang, Jiayi Zhou, Zhoupeng Ren

“…Methods Based on the temperature–mortality relationship observed in 36 locations covering all six major climate zones in China, we found that the relative risk (RR) of heat-related mortality and the annual frequency of temperature (AFT) have a power function relationship (adjusted R 2 = 0.74)), and the association is independent to the variation of the temperature across the territory. …”
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Unveiling the Genomic Landscape of <i>Pseudorasbora parva</i>, the Most Invasive Freshwater Fish Worldwide: A Key Step Towards Understanding Invasion Dynamics by Marine Combe, Théo Deremarque, Justina Givens, Rodolphe Elie Gozlan

“…We identify candidate loci linked to immune function and provide insights into the evolutionary dynamics of co-introduction. …”
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PyCSBtool: Python-Based GUI Learning Tool for Basics Control System Education by C. H. Manathunga, R. A. D. D. Dharmasiri, W. K. Indika L. Wanniarachchi, M. K. Jayananda, Tadachika Nakayama

“…Students can use transfer function or state-space representations to model and study control systems. …”
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Few-shot Remote Sensing Imagery Recognition with Compositionality Inductive Bias in Hierarchical Representation Space by Shichao Zhou, Zhuowei Wang, Zekai Zhang, Wenzheng Wang, Yingrui Zhao, Yunpu Zhang

“…We introduce a hierarchical context prediction mechanism for compositional representation learning, utilizing a predictive NCE loss function to encourage global remote sensing scenes to accurately predict similar local parts, and thus automatically inferring compositional representations of high-level but discriminative latent concepts. …”
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Application of Proper Orthogonal Decomposition in Spatiotemporal Characterization and Reduced-Order Modeling of Rotor–Stator Interaction Flow Field by Yongkang Lin, Weijian Yang, Hu Wang, Fazhong Wang, Jie Hu, Jianyao Yao

“…Spatial bases are extracted through the first-level POD, and a second-level POD is applied to the first-level coefficients to obtain temporal bases and coefficients that are solely parameter-dependent. A radial basis function (RBF) interpolation is used to establish the mapping between parameters and the second-level coefficients, enabling efficient multi-parameter ROM construction. …”
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FldtMatch: Improving Unbalanced Data Classification via Deep Semi-Supervised Learning with Self-Adaptive Dynamic Threshold by Xin Wu, Jingjing Xu, Kuan Li, Jianping Yin, Jian Xiong

“…SDT utilizes a clever mapping function that can solve the problem of differential learning difficulty of various categories in an unbalanced image dataset that adversely affects dynamic thresholding. …”
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Exploring unsupervised feature extraction algorithms: tackling high dimensionality in small datasets by Hongqi Niu, Gabrielle B. McCallum, Anne B. Chang, Khalid Khan, Sami Azam

“…From this review, eight representative UFEAs were selected: principal component analysis, classical multidimensional scaling, Kernel PCA, isometric mapping, locally linear embedding, Laplacian Eigenmaps, independent component analysis and Autoencoders. …”
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Local Climate Zones and urban morphology dataset to support numerical modelling in Greece, utilizing GIS, multispectral, and SAR dataZenodo by Ilias Agathangelidis, Christos Giannaros, Constantinos Cartalis, Vassiliki Kotroni, Kostas Lagouvardos

“…The Local Climate Zones (LCZ) scheme, which classifies urban areas based on their form and function, has become the standard urban classification system over the past decade. …”
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Análise da pluviometria e dias chuvosos na região Nordeste do Brasil An analysis of rainfall and rainy days in the northeastern region of Brazil by Vicente P. R. da Silva, Emerson R. R Pereira, Pedro V. de Azevedo, Francisco de A. S. de Sousa, Inajá F. de Sousa

“…Autocorrelation function was obtained for the annual rainfall in northeastern Brazil. …”
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Research on path planning for mine rescue UAV based on improved Artificial Jellyfish Search algorithm by ZHENG Xuezhao, DIAO Chengze, CAI Guobin, WEN Hu, YANG Bo, HOU Zongxuan, MOU Haowei

“…A Gaussian mutation function was applied to reduce the number of poor-quality individuals in the population. …”
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A robust adaptive meta-sample generation method for few-shot time series prediction by Chao Zhang, Defu Jiang, Kanghui Jiang, Jialin Yang, Yan Han, Ling Zhu, Libo Tao

“…Moreover, the meta sampler of JLSG-Diffusion embeds meta-learning from the implicit probability measure level of Denoising Diffusion Probabilistic Models (DDPM), which makes the meta-sample distribution directly establish a function mapping with the new task and effectively quantifies the uncertainty of spatiotemporal dimension. …”
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Conditions for Guaranteeing Non-Overshooting Control of Nonlinear Systems with Full-State Constraints by Xiang-Qin Xiang, Chi Zhang

“…Firstly, this paper introduces the mapping constraint function to solve the FSC control problem and transform the controlled system into a new nonlinear system. …”
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Starting driving style recognition of electric city bus based on deep learning and CAN data by Dengfeng Zhao, Zhijun Fu, Chaohui Liu, Junjian Hou, Shesen Dong, Yudong Zhong

“…The fully connected neural network and incentive function Softmax are applied to establish the relationship mapping between driving data characteristics and the starting driving styles, which are categorized as cautious, normal and aggressive. …”
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In silico analysis of IL7RA missense mutations in lung, breast and skin cancers by Zeynep Tokcaer Keskin

“…Conservation Surface Mapping (ConSurf )was used to analyze conservation scores. …”
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PFARN: Pyramid Fusion Attention and Refinement Network for Multiscale Ship Detection in SAR Images by Ke Li, Hang Yu, Suqi Li, Shanhu Chen, Bailu Wang

“…Third, a more suitable central loss function is used for the detection head to ensure that the bounding box flexibly adapts to the size and location of the object. …”
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ERNIE-TextCNN: research on classification methods of Chinese news headlines in different situations by Yumin Yan

“…Finally, it utilizes a double-layer fully connected layer to adjust the output dimensions to fit the classification task, introducing the ReLU activation function between the layers to enhance the model’s expressive power. …”
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