A Novel PNDA-MMNet Model for Evaluating Dynamic Changes in the Brain State of Patients with PTSD During Neurofeedback Training by Peng Ding, Lei Zhao, Anmin Gong, Wenya Nan, Yunfa Fu

“…These connectivity changes reflect NFT-induced modulation of cortical activity and are consistent with known neurophysiological patterns in PTSD, highlighting their potential relevance to therapeutic mechanisms. …”
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DDoS classification of network traffic in software defined networking SDN using a hybrid convolutional and gated recurrent neural network by Ahmed M. Elshewey, Safia Abbas, Ahmed M. Osman, Eman Abdullah Aldakheel, Yasser Fouad

“…This paper presents a comprehensive evaluation of six deep learning models (Multilayer Perceptron (MLP), one-dimensional Convolutional Neural Network (1D-CNN), Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), Recurrent Neural Network (RNN), and a proposed hybrid CNN-GRU model) for binary classification of network traffic into benign or attack classes. …”
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Bibliometric Analysis of the Evaluation Concepts of Humanities Research Outputs by Nahid Kabiri Khozani, Ali Mansouri, Mitra Pashootanizadeh, Elahe Ebrahimi Dorcheh

“…The thematic map the field highlights key concepts such as research performance, bibliometric indicators, journal articles, and publication patterns. Fundamental concepts include research articles and evaluation systems, while research quality emerges as a growing area of interest. …”
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Evaluation of the precision and accuracy in the classification of breast histopathology images using the MobileNetV3 model by Kenneth DeVoe, Gary Takahashi, Ebrahim Tarshizi, Allan Sacker

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Soil moisture forecasting in wireless sensor networks via spatiotemporal graph convolutional networks by Weixuan Wang, Yating Wei, Longfei Hao, Zushuai Wei, Tianjie Zhao

“…Graph neural network is adept at capturing and utilizing the complex spatiotemporal relationships and patterns inherent in graph‐structured data, thereby enhancing prediction accuracy. …”
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Analysis of dynamic network reconfiguration in HIV patients with cognitive impairment based multilayer network by Xingyuan Jiang, Juming Ma, Chuanke Hou, Hongjun Li

“…Abstract Approximately half of HIV patients continue to experience HIV-associated neurocognitive disorders (HAND). Our study aims to evaluate changes in the dynamic activity patterns of functional brain communities in the early stages of HIV infection by comparing time-varying multilayer network metrics. …”
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Construction and Evaluation of Urban Green Infrastructure in Ecologically Vulnerable Areas Based on Multi-Scale and Multi-Objective Approaches: Taking the Four-Lake Hydrographic Ne... by Wenhao Cheng, Caihong Ma

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Continuous Glucose Monitoring (CGM) use in patients with diabetes mellitus type 1 is associated with higher healthcare costs, increased hospitalizations, and social disparities in... by Ameer Khowaja, Lina Adil, Teigan Dwyer, Tyson Barrett, Jamil Alkhaddo

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Geological characteristics and key technologies for exploration and development of the Yanchuannan coalbed methane field, Ordos Basin by Xipeng HE, Cui XIAO, Yuqiao GAO, Xin LI, Tao GUO, Xiao CAI

“…By highlighting the suitability of the well pattern and fracture networks, this study established a well pattern – fracture network – productivity – economic benefit integrated strategy tailored to varying geological conditions. …”
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Analysis of anomalous behaviour in network systems using deep reinforcement learning with convolutional neural network architecture by Mohammad Hossein Modirrousta, Parisa Forghani Arani, Reza Kazemi, Mahdi Aliyari‐Shoorehdeli

“…AbstractTo gain access to networks, various intrusion attack types have been developed and enhanced. …”
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Contemporaneous symptom networks for multidimensional symptom experience in lung cancer survivors of immunotherapy: A network analysis. by Hang Gao, Xiaoxue Wen, Xiaoli Sun, Yuwei Liu, Jianwen Hou, Danwen Zheng, Hejia Chen, Lingfang Ma, Yufang Zhou, Xinyan Yu

“…<h4>Background</h4>Immunotherapy dramatically increases patient survival and radically changes the way lung cancer is treated. Through intricate network analysis of disease-related symptoms, symptom networks are able to statistically analyze and depict the links between different symptoms. …”
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Impact of agricultural industry transformation based on deep learning model evaluation and metaheuristic algorithms under dual carbon strategy by Xuan Zhao, Weiyun Tang, Qiuyan Liu, Hongtao Cao, Fei Chen

“…A hybrid deep learning model—combining Convolutional Neural Networks and Long Short-Term Memory networks—is developed to evaluate the effects of agricultural industry transformation. …”
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Measuring the communicative constitution of organization as network formation. by Kyle Michael Schwing, Jonathan Pitt

“…We propose a set of metrics, based upon the four flows theory of the communicative constitution of organizations, to evaluate the emergence of organization in a social network. …”
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FlowSeries: flow analysis on financial networks by Arthur Capozzi, Salvatore Vilella, Dario Moncalvo, Marco Fornasiero, Valeria Ricci, Silvia Ronchiadin, Giancarlo Ruffo

“…Criminal activity in transaction networks often involves complex, evolving patterns specifically designed to evade detection. …”
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Hybrid Dynamic Network Data Envelopment Analysis by Ling Li, Fengshan Wang

“…We vertically deal with intermediate products between divisions with assignable inputs in the network structure and, horizontally, we extend network structure by means of a dynamic pattern with unrelated activities between two succeeding periods. …”
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Revisiting Information Cascades in Online Social Networks by Michael Sidorov, Ofer Hadar, Dan Vilenchik

“…It is widely believed that a user’s activity pattern in Online Social Networks (OSNs) is strongly influenced by their friends or the users they follow. …”
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An Efficient Dropout for Robust Deep Neural Networks by Yavuz Çapkan, Aydın Yeşildirek

“…Overfitting remains a major difficulty in training deep neural networks, especially when attempting to achieve good generalization in complex classification tasks. …”
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Explainable AI Meets Synthetic Data: A Deep Learning Framework for Detecting Network Intrusion in NextG Network Infrastructure by Md Junayed Hossain, Khorshed Alam, Md Fahad Monir, Md Mozammal Hoque, Tarem Ahmed

“…In today&#x2019;s digitally driven world, network security has become a top accountability as cyberattacks become more sophisticated, especially within emerging NextG network infrastructures. …”
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The use of mobile phone surveys for rapid mortality monitoring: A national study in Burkina Faso by Kassoum Dianou, Abdramane B. Soura, Bruno Lankoandé, Hervé Bassinga, Shammi Luhar, Ashira Menashe-Oren, Kelly McCain, Malebogo Tlhajoane, Georges Reniers, Bruno Masquelier

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Green Infrastructure Network Planning in Urban Fringe Areas Based on the Characteristics of Agricultural and Forestry Landscape Ecological Network in a Metropolitan City by Dongmeng Wang, Can Zhao, Baolin Xia, Chenming Zhang, Dezheng Kong, Qindong Fan

“…Finally, based on the evaluation results, a classified network planning was conducted, and a triple-network integrated planning strategy was proposed. …”
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