Analysis of the network structure characteristics and influencing factors of regional tourism economy. by Xiao-Bing Feng

“…This study selects Sichuan Province, China, as the research area and employs social network analysis to evaluate the spatial network structure of its tourism economy from 2015 to 2022. …”
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Skew Logistic Distribution Applied as Activation Function in Artificial Neural Networks by Eder Silva Dos Santos, Altemir da Silva Braga, Ana Beatriz Alvarez, Thuanne Paixao

“…In recent years, Artificial Neural Networks (ANNs) have stood out among machine learning algorithms in many applications, such as image and video pattern recognition. …”
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Detection and diagnosis of air compressor faults using weightless neural networks by Anubhab Bhattacharyya, Naveen Venkatesh Sridharan, Aravinth Sivakumar, Sugumaran Vaithiyanathan

“…This study presents an innovative method utilizing weightless neural networks (WNNs) to identify and address various types of faults in air compressor modules. …”
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Dense dynamic convolutional network for Bel canto vocal technique assessment by Zhenyi Hou, Xu Zhao, Shanggerile Jiang, Daijun Luo, Xinyu Sheng, Kaili Geng, Kejie Ye, Jiajing Xia, Yitao Zhang, Chenxi Ban, Jiaxing Chen, Yan Zou, Yuchao Feng, Xin Yuan, Guangyu Fan

“…Convolutional Neural Networks (CNNs), renowned for their robust ability to capture spatial hierarchical information, have been widely adopted in various tasks, including audio pattern recognition. …”
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Representation of Radiation Oncologists on National Comprehensive Cancer Network Guideline Committees by Bismarck C. Odei, MD, Temitope Agabalogun, MD, Erika Bello-Pardo, BS, Christina Huang, MD, MS, Daniel Vanderbilt, MD, PhD, Seyi Omeh, MD, MPH, Benjamin Sterling, Fumiko Chino, MD

“…Purpose: The National Comprehensive Cancer Network (NCCN) guideline committees (GCs) play a vital role in defining the standard of care for cancer management. …”
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Study on Large‐Scale Brain Network Abnormalities in Patients With Beta‐Thalassemia by Mingrui Yang, Guowei Chen, Peng Peng, Cheng Tang, Chaotian Luo, Fei Peng, Rong Kong, Chunxia Zhu, Jiatong Liang

“…This study systematically evaluates alterations in both intra‐brain network functional connectivity (FC) and inter‐network functional connectivity (FNC) in β‐TM patients using resting‐state functional magnetic resonance imaging (rs‐fMRI) and independent component analysis (ICA), aiming to uncover the potential mechanisms underlying their neurofunctional impairments. …”
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A spatiotemporal graph wavelet neural network for traffic flow prediction by Linjie Zhang, Jianfeng Ma

“…Furthermore, we dig the location and time patterns to evaluate the temporal dependence and the spatial proximity correlation. …”
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Identification of core sub-team on scientific collaboration networks with Shapley method by Lixin Zhou, Chen Liu, Xue Song

“…Identifying the core sub-teams that drive productivity in scientific collaboration networks is essential for research evaluation and team management. …”
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Multilevel Feature Cross-Fusion-Based High-Resolution Remote Sensing Wetland Landscape Classification and Landscape Pattern Evolution Analysis by Sijia Sun, Biao Wang, Zhenghao Jiang, Ziyan Li, Sheng Xu, Chengrong Pan, Jun Qin, Yanlan Wu, Peng Zhang

“…Analyzing wetland landscape pattern evolution is crucial for managing wetland resources. …”
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Analysis of Encrypted Network Traffic for Enhancing Cyber-security in Dynamic Environments by Faeiz Alserhani

“…As a result, there is a fundamental need for methodologies based on intelligent analysis of patterns and attributes of encrypted network traffic. …”
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Hybrid Android Malware Detection and Classification Using Deep Neural Networks by Muhammad Umar Rashid, Shahnawaz Qureshi, Abdullah Abid, Saad Said Alqahtany, Ali Alqazzaz, Mahmood ul Hassan, Mana Saleh Al Reshan, Asadullah Shaikh

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An optimized ensemble model with advanced feature selection for network intrusion detection by Afaq Ahmed, Muhammad Asim, Irshad Ullah, Zainulabidin, Abdelhamied A. Ateya

“…In today’s digital era, advancements in technology have led to unparalleled levels of connectivity, but have also brought forth a new wave of cyber threats. Network Intrusion Detection Systems (NIDS) are crucial for ensuring the security and integrity of networked systems by identifying and mitigating unauthorized access and malicious activities. …”
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Identification of anoikis-related genes classification patterns and immune infiltration characterization in chronic rhinosinusitis with nasal polyps based on machine learning by Ziqi Chen, Lingmei Qu, Qing Hao, Shuang Teng, Shuo Liu, Qin Wu, Hongtian Yi, Xianji Shen, Liang Li, Zhaonan Xu, Yanan Sun

“…Functional annotation was performed based on Gene Ontology (GO) terms, and pathway enrichment analysis was conducted using the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. Regulatory networks were visualized using NetworkAnalyst and Cytoscape. …”
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Evaluating the relationship between news source sharing and political beliefs by Sofía M. del Pozo, Sebastián Pinto, Matteo Serafino, Federico Moss, Tomás Cicchini, Hernán A. Makse, Pablo Balenzuela

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GENERATION OF ARTIFICIAL CHEST RADIOGRAPHS USING GENERATIVE ADVERSARIAL NEURAL NETWORKS by V. A. Kovalev, S. A. Kozlovski, A. A. Kalinovsk

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Time Series Forecasting Based on Temporal Networks Evolution and Dynamic Constraints by Yunlong Peng, Han Li, Xu Han

“…Subsequently, leveraging the unique evolutionary patterns of temporal networks, we employ matrix evolution to predict the topological structure of the network at the next time step. …”
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Human Activity Recognition Using Graph Structures and Deep Neural Networks by Abed Al Raoof K. Bsoul

“…This research presents a novel HAR system combining graph structures with deep neural networks to capture both spatial and temporal patterns in activities. …”
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Proposal for an SDN-Like Innovative Metro-Access Optical Network Architecture by Tommaso Muciaccia, Vittorio M. N. Passaro

“…The essential aim is to enable bandwidth shared among different passive optical networks (PONs) in order to achieve higher adaptability to increasingly migratory and volatile traffic patterns. …”
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Channel and model selection for multi-channel EEG input to neural networks by Kento Harachi, Yusuke Yamamoto, Ayumi Muramatsu, Hajime Nagahara, Noriko Takemura, Shinji Shimojo, Daisuke Furihata, Yuko Mizuno-Matsumoto

“…This study explores EEG data, often treated as a single modality, input into networks of varied structures as a multimodal data stream to evaluate accuracy. …”
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Integrating sensor networks to facilitate efficient energy management for smart grids by Arpita Nath Baruah, Malatesh S. Akkur, Jyoti Seth, Jaymeel Shah

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