Insights into Galaxy Evolution from Interpretable Sparse Feature Networks by John F. Wu

“…Learning the relationship between pixel-level features and galaxy properties is essential for building a physical understanding of galaxy evolution, but we are still unable to explicate the details of how deep neural networks represent image features. …”
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Leveraging Topic Features in Prediction of Social Network Community Evolutions by Rahman Nahi Abid, Hassan Naderi

“…Most studies in this field have focused on complex network structural features, overlooking the influence of topics and their features on network complexity and time consumption. …”
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Community evolution prediction based on feature change patterns in social networks by Jingyi Ding, Guojing Sun, Tiwen Wang, Licheng Jiao, Junzhao Du, Jianshe Wu, Hongfei Wang, Ruohui Cheng

Subjects: “…Community evolution prediction…”
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Study of the Faults Network of Kunashir Island (Kuril Islands) in Order to Reconstruct the Features of its Tectonic Evolution by Krikun Nikita Sergeevich, Abdrahmanov Il'nur, Talovina Irina

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EVOLUTION OF WIRELESS (CELLULAR) COMMUNICATION NETWORKS by L. F. Chernogor, M. B. Shevelev

“…Using average data on the parameters of 1G to 5G communication networks and 6G in development, we have built regression models representative of the evolution of information transfer rates and data transmission durations until the year 2050. …”
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A multimodal deep learning model with differential evolution-based optimized features for classification of power quality disturbances by Md Nurul Islam

Subjects: “…Multimodal feature fusion…”
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Discussion of Evolution of Carrier IP Network to SDN by Xiaoming He, Hui Ji, Dongfeng Mao, Hong Tang

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Feature learning and generalization in deep networks with orthogonal weights by Hannah Day, Yonatan Kahn, Daniel A Roberts

“…We speculate that this structure preserves finite-width feature learning while reducing overall noise, thus improving both generalization and training speed in deep networks with depth comparable to width. …”
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Enhanced Peer-to-Peer Botnet Detection Using Differential Evolution for Optimized Feature Selection by Sangita Baruah, Vaskar Deka, Dulumani Das, Utpal Barman, Manob Jyoti Saikia

“…Employing differential evolution, we propose a feature selection approach that enhances the ability to discern peer-to-peer (P2P) botnet traffic amidst evolving cyber threats. …”
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Identification and Evolution of Core Technologies in the Chip Field Based on Patent Networks by Ying Wang, Renda Chen, Jindong Chen

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Collective variables of neural networks: empirical time evolution and scaling laws by Samuel Tovey, Sven Krippendorf , Michael Spannowsky, Konstantin Nikolaou, Christian Holm

“…Due to the ubiquity of the latter in deep neural network architectures and its flexibility in the creation of feature-rich representations, we argue that this network entropy evolution be considered the onset of a deep learning regime.…”
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Limitations of gene duplication models: evolution of modules in protein interaction networks. by Frank Emmert-Streib

“…This observation reveals our incomplete understanding of the structural evolution of protein networks on the module level.…”
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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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Feature Interaction and Adaptive Fusion Network With Spectral Modulation for Pansharpening by Lihua Jian, Jiabo Liu, Lihui Chen, Di Zhang, Gemine Vivone, Xichuan Zhou

“…This article introduces a feature interaction and adaptive fusion network (FIAFN) with spectral modulation for pansharpening to address these issues. …”
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Predicting the Evolution of the Supercontinuum Generation With CNN-LSTM Model by Yi Feng, Ruiyuan Liu, Xinyue Chang, Xiangzhen Huang, Yuan He, Ning Li, Tiantian Zhou, Chujun Zhao

“…We propose a hybrid deep learning model, namely convolutional neural network–long short-term memory (CNN-LSTM) approach to investigate the evolution of the supercontinuum (SC) generation numerically. …”
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Research on Sentiment Tendency and Evolution of Public Opinions in Social Networks of Smart City by Yanni Liu, Dongsheng Liu, Yuwei Chen

“…In order to get more valuable information and implement effective supervision on public opinions, it is necessary to study the public opinions, sentiment tendency, and the evolution of the hot events in social networks of a smart city. …”
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Myocarditis Diagnosis Using Semi-Supervised Generative Adversarial Network and Differential Evolution by Haifeng Gui, Na Zhang

“…A diagnostic model for myocarditis is introduced in this paper, utilizing CMR images and employing a semi-supervised generative adversarial network (SS-GAN) to enhance classifier performance, complemented by differential evolution (DE) for hyperparameter optimization. …”
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Network growth under opportunistic attachment by Carolina E. S. Mattsson

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Network of Settlements in Novosibirsk District in 1920s: Population, Structure and Development Features by A. I. Tatarnikova

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General model for best feature extraction of EEG using discrete wavelet transform wavelet family and differential evolution by Ahmad al-Qerem, Faten Kharbat, Shadi Nashwan, Staish Ashraf, khairi blaou

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