Sistem Pendukung Keputusan Penerimaan Raskin Desa Mabung Kabupaten Nganjuk Menerapkan Metode Simple Additive Weighting (SAW) by Fery Sofian Efendi

“…On decision support system acceptance raskin maung village there is a system that can process data on population, the candidate receiving the data, the data submission, and complaint data and present the data recipients raskin mabung village in report form. …”
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Sparse Feature-Weighted Double Laplacian Rank Constraint Non-Negative Matrix Factorization for Image Clustering by Hu Ma, Ziping Ma, Huirong Li, Jingyu Wang

“…Traditional GNMF methods typically rely on predefined graph structures to guide the decomposition process, using fixed data graphs and feature graphs to capture relationships between data points and features. …”
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Node Classification Method Based on Hierarchical Hypergraph Neural Network by Feng Xu, Wanyue Xiong, Zizhu Fan, Licheng Sun

“…Hypergraph neural networks have gained widespread attention due to their effectiveness in handling graph-structured data with complex relationships and multi-dimensional interactions. …”
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Investigating Magnetic Field and Force of Multiple Representation Abilities of High School Students in Cambodia by Samnang Khek

“…The findings indicated that students had high proficiency in picture skills but low levels in diagrams, drawings, equations/formulas, symbols, spatial rotations, spatial orientation skills, and very low levels in graph skills. …”
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Social context in political stance detection: Impact and extrapolation. by Ramon Villa-Cox, Evan M Williams, Kathleen M Carley

“…We construct transformer-based user and tweet encoders to embed users in a low-dimensional space using their posts and interactions. …”
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Characteristics and Comorbidities Influencing Mortality Risk Among Hereditary Angioedema Patients by Subhan Khalid, Alan T. Hitch

“…Structure learning was performed using a directed acyclic graph and probability estimating using Bayesian inference. …”
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Economic Background of Undergraduate Students and their Academic Performance at Kabale University. by Kyarikunda, Miria

“…The samples were selected using simple random sampling, purposeful sampling and strati ed random sampling. Data from the questionnaires were analysed using Stata software, while data presen- tation was done using tables, bar graph. …”
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Wearable damaged clothing fabric image recognition system based on image restoration algorithm by Xu Li, Longlin Zhang

“…In view of this, the research has innovatively integrated GAN, CNN, field Programmable gate array (FPGA), multi-stage image recovery algorithm based on graph neural network, for high frequency and low frequency fusion, and combined it with wearable devices to develop a new wearable fabric recovery and recognition system. …”
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Multiscale Intermuscular Coupling Analysis via Complex Network-Based High-Order O-Information by Chang Yu, Qingshan She, Michael Houston, Tongcai Tan, Yingchun Zhang

“…We applied this framework to data collected from experiments on three different upper limb movements. …”
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Unsupervised feature selection algorithm based on L 2,p-norm feature reconstruction. by Wei Liu, Qian Ning, Guangwei Liu, Haonan Wang, Yixin Zhu, Miao Zhong

“…Additionally, adaptive graph learning is integrated into the feature selection process to preserve the local geometric structure of the data. …”
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An Optimized Topology Discovery Mechanism in Software Defined Networks by LI Lan-ying, WANG Min, ZHU Su-xia

“…First, based on the idea of minimum vertex coverage of the graph, the greedy algorithm is used to achieve the minimum switch coverage of the network topology, and then the port classification and hash strategy are used to eliminate redundant data packets in the network. …”
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Estimating soil loss by laminar erosion using precision agriculture computational tools by Evelin T. S. Krug, Glaucio J. Gomes, Eduardo G. de Souza, Luciano Gebler, Ricardo Sobjak, Claudio L. Bazzi

“…To identify discrepant data (outliers), analysis of the dispersion of quartiles was performed using a box-plot graph. …”
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A Improving House Price Clustering Results with K-means through the Implementation of One-hot Encoding Pre-processing Technique by Vicka Rizqi Maulani, Mula Agung Barata, Pelangi Eka Yuwita

“…The 0.15 matrix result is relatively low, which is caused by the overlap of house price values in the dataset, but it has been shown that one-hot encoding can represent categorical data well in the data pre-processing process so that the data can be processed with the k-means algorithm.…”
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Influence of body fat on heart rate variability in healthy females by Hiba Salih Mahdi Al-Khassaki, Bassam Talib Al-Galani

“…Heart rate variability was based on electrocardiogram data related to R-R interval. Data was analysed using GraphPad InStat version 3.06. …”
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Translation of single channel electro encephalic signals into limb motion by A.B.R. Lara, Oscar E. Ruiz, L.O. Araujo Junior, F.P. Bhering

“…To overcome the barrier of the costs and present an accessible technology for these studies, this manuscript presents the implementation of a method that uses a single-channel headset to sample the Electro Encephalo Graph (EEG) wave. The headset provides 8 individual brain waves (delta, theta, low alpha, high alpha, low beta, high beta, low gamma, mid gamma), operating in their characteristic frequency intervals. …”
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Generative inpainting of incomplete Euclidean distance matrices of trajectories generated by a fractional Brownian motion by Alexander Lobashev, Dmitry Guskov, Kirill Polovnikov

“…Our dataset reveals that, in the regime of low missing ratios, data imputation is unique, as the remaining partial graph is rigid, thus providing a reliable ground truth for inpainting. …”
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Explainable Two-Layer Mode Machine Learning Method for Hyperspectral Image Classification by Wenjia Chen, Junwei Cheng, Song Yang, Li Sun

“…We employ the support vector machine or the K-nearest neighbor algorithms in the back-end layer to classify low-dimensional data. Finally, the two-layer mode classification method is applied to the three real HSI dataset classifications. …”
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Convergence of the Welfare of EU Countries in the Context of Integration: Hypothesis Testing by Natalia B. Kondratieva

“…Methods applied include graphical visualisation of data and statistical calculations using the compound interest formula transformed for the purpose of clarifying the hypothesis. …”
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A Visual Measurement Method for Large-Sized Parts by Junkai Yang

“…The method utilizes the edge detection pixel point data of the part image for searching and region localization of line and circle features in the image with a modified Hough transform; A geometric calculation is used to compute the coordinates of the point cloud within the feature area; Drawing on the idea of graph neural network, the priori knowledge of machining is utilized to establish the correlation of related dimensional features in the part drawing, and this is used to propose a model of dimensional validation and correction by the combination of different features. …”
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Research Status and Prospects of Distribution Network Planning Technology Based on Artificial Intelligence by LI Jingru, LI Hongjun, MA Liang, JIANG Shigong, MU Chaoxu, SI Chenyi

“…[Results] This study summarizes and analyzes the issues in artificial intelligence-based distribution network planning technologies， including difficulties in processing unstructured and semi-structured data， limited scenario applicability， low accuracy in demand deduction， lack of interpretability， and high-dimensional solution spaces for planning schemes. …”
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