Artificial Neural Networks with various Transfer Functions for Modeling Rainfall Patterns in Sokoto, Nigeria by C. S. Ofordu, A. J. Adeyi, E. O. Okoro

“…Hence, the objective of this paper is to employ Artificial Neural Networks (ANNs) with various transfer functions for modeling rainfall patterns  in Sokoto, Nigeria. …”
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DPSTCN: Dynamic Pattern-Aware Spatio-Temporal Convolutional Networks for Traffic Flow Forecasting by Zeping Dou, Danhuai Guo

“…To address these complexities head-on, this paper introduces a novel solution in the form of Dynamic Pattern-aware Spatio-Temporal Convolutional Networks (DPSTCN). …”
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Detecting Fraudulent Transactions for Different Patterns in Financial Networks Using Layer Weigthed GCN by Shaziya Islam, Gagan Raj Gupta, Apu Chakraborty, Santosh Singh, Anisha Soni, Chhavi Patle

“…This paper introduces LayerWeighted-GCN (LWG), a novel Graph Neural Network (GNN) model for fraud detection, along with a synthetic dataset named SIFT (Synthetic Insights for Fraudulent Transactions). …”
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Enhancing market trend prediction using convolutional neural networks on Japanese candlestick patterns by Edrees Ramadan Mersal, Kürşat Mustafa Karaoğlan, Hakan Kutucu

“…This study discusses using Japanese candlestick (JC) patterns to predict future price movements in financial markets. …”
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Intelligent recognition method for urban road grid patterns by fusing mesh and road features by Zhekun Huang, Haizhong Qian, Zhongxiang Cai, Andong Wang, Junwei Wang, Feng Xiong

“…The road grid pattern (RGP) is a common spatial structure in urban road networks, and is important for revealing urban development, population distribution, and functional area delineation. …”
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Histopathological Image Analysis Using Machine Learning to Evaluate Cisplatin and Exosome Effects on Ovarian Tissue in Cancer Patients by Tuğba Şentürk, Fatma Latifoğlu, Çiğdem Gülüzar Altıntop, Arzu Yay, Zeynep Burçin Gönen, Gözde Özge Önder, Özge Cengiz Mat, Yusuf Özkul

“…A set of 177 Local Binary Pattern (LBP) features were extracted from histopathological images, followed by feature selection using Lasso regression. …”
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Knowledge Graph Completion With Pattern-Based Methods by Maryam Sabet, Mohammadreza Pajoohan, Mohammad Reza Moosavi

“…We use global internal information, namely patterns, by adapting the minimum-cost circulation problem to the flow network. …”
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A Framework for Evaluating Driving Patterns of Automated Vehicle Based on On-Road Driving Records by Younghoon Seo, Donghyun Lim, Jooyoung Lee, Jaehyun So, Hyungjoo Kim

“…In this study, we propose a methodology for driving pattern analysis based on a hybrid clustering algorithm that combines the self-organizing map (SOM) and the K-means++ algorithm. …”
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Capturing Spatial-Temporal Traffic Patterns: A Dynamic Partitioning Strategy for Heterogeneous Traffic Networks by Xianyue Peng, Hao Wang

“…We devise a spatial-temporal dual-form graph to accurately represent the road network’s spatial-temporal traffic patterns. …”
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Construction of Ecological Security Pattern of Urban Agglomeration Based on Multi-Scale Ecological Corridor Networks by Qianli Ouyang, Bohong Zheng, Xi Luo, Shengyan Wu

“…First, ecological sources at different scales were identified and optimized using morphological spatial pattern analysis, ecosystem service supply assessment, landscape connectivity evaluation, and ecological demand intensity analysis. …”
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Application of smart technologies for predicting soil erosion patterns by Rana Muhammad Adnan Ikram, Mo Wang, Hossein Moayedi, Atefeh Ahmadi Dehrashid, Shiva Gharibi, Jing-Cheng Han

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An Innovative Linear Wireless Sensor Network Reliability Evaluation Algorithm by Tao Ma, Huidong Guo, Xin Li

“…To ensure the reliability of monitoring services, evaluating the network’s reliability is particularly important. …”
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Scientometric Mapping of Global Scientific Production on Obstetric Violence: Visualization, Emerging Patterns, and Collaborative Networks by Victor Roman-Lazarte, Raquel Flor De María Tumialan-Hilario, Frank Mayta-Tovalino

“…It is a common problem that can occur across all health care facilities. This study aims to evaluate the global scientific production of obstetric violence in the Scopus database, visualizing emerging patterns, identifying key terms and trending topics, and mapping collaborative networks. …”
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Regional network covariance patterns of white matter integrity related to cardiorespiratory fitness in healthy aging by Samantha G. Smith, Samantha G. Smith, Pradyumna K. Bharadwaj, Pradyumna K. Bharadwaj, David A. Raichlen, David A. Raichlen, Matthew D. Grilli, Matthew D. Grilli, Matthew D. Grilli, Jessica R. Andrews-Hanna, Jessica R. Andrews-Hanna, Georg A. Hishaw, Matthew J. Huentelman, Matthew J. Huentelman, Matthew J. Huentelman, Theodore P. Trouard, Theodore P. Trouard, Theodore P. Trouard, Gene E. Alexander, Gene E. Alexander, Gene E. Alexander, Gene E. Alexander, Gene E. Alexander, Gene E. Alexander

“…We used a multivariate analysis method, the Scaled Subprofile Model (SSM), to identify network patterns of MRI tract-specific white matter integrity (WMI) for AD, RD, MD, and FA related to VO2max and to evaluate their relation to demographic, vascular health, and dementia risk factors in 167 cognitively unimpaired older adults, ages 50 to 88. …”
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Tensor Network Methods for Hyperparameter Optimization and Compression of Convolutional Neural Networks by A. Naumov, A. Melnikov, M. Perelshtein, Ar. Melnikov, V. Abronin, F. Oksanichenko

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Performance Evaluation of YOLOv11 and YOLOv12 Deep Learning Architectures for Automated Detection and Classification of Immature Macauba (<i>Acrocomia aculeata</i>) Fruits by David Ribeiro, Dennis Tavares, Eduardo Tiradentes, Fabio Santos, Demostenes Rodriguez

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APPLYING SOME MATCHING ALGORITHMS FOR SEQUENCE IGNATURE TO ANALYZE AND DETECT ENTRIES INTO SYSTEM NETWORKS by Pham Nguyen Huy Phuong, Dang Le Nam

“…Nowadays, developing and evaluating pattern matching algorithms for the identification of network-attack has been constantly evolving. …”
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Mitigating the Concurrent Interference of Electrode Shift and Loosening in Myoelectric Pattern Recognition Using Siamese Autoencoder Network by Ge Gao, Xu Zhang, Xiang Chen, Zhang Chen

“…A Siamese auto-encoder network (SAEN) was established to learn robust feature representations against random occurrences of both electrode shift and loosening. …”
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Machine Learning-Based Network Anomaly Detection: Design, Implementation, and Evaluation by Pilar Schummer, Alberto del Rio, Javier Serrano, David Jimenez, Guillermo Sánchez, Álvaro Llorente

“…<b>Background:</b> In the last decade, numerous methods have been proposed to define and detect outliers, particularly in complex environments like networks, where anomalies significantly deviate from normal patterns. …”
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Study on Satisfaction Evaluation of Ecotourism Through Advanced Network Text Mining by Jia Gao, Leong Mow Gooi, Kim Mee Chong, Xiang Lyu, Jin Zhang

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