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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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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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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Performance Evaluation of Artificial Neural Network Methods Based on Block Machine Learning Classification by Raya Hamdy, Mohammed Younis

“…Thirty cat photos from the Oxford-IIIT Pet dataset were used for evaluation. Five different Artificial Neural Network (ANN) models, including LM, BGFGS, RP, SCG, and GDX, were trained and assessed for both pixel-based and block-based methods. …”
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Sequence and taxonomic feature evaluation facilitated the discovery of alcohol oxidases by Yilei Han, Xuwei Ding, Junjian Tan, Yajuan Sun, Yunjiang Duan, Zheng Liu, Gaowei Zheng, Diannan Lu

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Evaluating Packaging Design Relative Feature Importance Using an Artificial Neural Network (ANN) by Juan Gu, Euihark Lee

“…The findings of this study demonstrate the effectiveness of artificial neural network (ANN)-based approaches in evaluating the relative importance of packaging design features. …”
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An Empirical Evaluation of Supervised Learning Methods for Network Malware Identification Based on Feature Selection by C. Manzano, C. Meneses, P. Leger, H. Fukuda

“…In the literature, it is reported that this good performance can depend on a reduced set of network features. This study presents an empirical evaluation of two statistical methods of reduction and selection of features in an Android network traffic dataset using six supervised algorithms: Naïve Bayes, support vector machine, multilayer perceptron neural network, decision tree, random forest, and K-nearest neighbors. …”
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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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Multi-Scale Feature Similarity and Object Detection for Small Printing Defects Detection by Haojie Lou, Yuanlin Zheng, Wenqian Chen, Haiwen Liu

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Evaluating feature extraction in ovarian cancer cell line co-cultures using deep neural networks by Osheen Sharma, Greta Gudoityte, Rezan Minozada, Olli P. Kallioniemi, Riku Turkki, Lassi Paavolainen, Brinton Seashore-Ludlow

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CANini: In-Depth Traffic Analysis for Design and Robustness Evaluation of DTree-Based IDS in Automotive Networking Systems by Nicasio Canino, Pierpaolo Dini, Stefano Mazzetti, Daniele Rossi, Sergio Saponara

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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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SE-CapsNet: Automated evaluation of plant disease severity based on feature extraction through Squeeze and Excitation (SE) networks and Capsule networks by Shradha Verma, Anuradha Chug, Ravinder P. Singh, Amit P. Singh, Dinesh Singh

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Evaluating Features and Variations in Deepfake Videos Using the CoAtNet Model by Eman Alattas, John Clark, Arwa Al-Aama, Salma Kammoun Jarraya

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Wide‐Field Bond Quality Evaluation Using Frequency Domain Thermoreflectance with Deep Neural Network Feature Reconstruction by Amun Jarzembski, Siddharth Nair, Wyatt Hodges, Matthew Jordan, Anthony McDonald, Logan Antiporda, Greg W. Pickrell, Timothy Walsh, Fabio Semperlotti, Jason Neely, Luke Yates

“…Wide‐field analysis of bonded versus gap regions is enabled by deep neural network feature reconstruction, that after training, rapidly provides an interpretable representation of bond quality. …”
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A Multicriteria Decision-Making Approach for Urban Water Features: Ecological Landscape Architecture Evaluation by Reyhaneh Hashemi Sigari, Thomas Panagopoulos

“…To this end, a multicriteria decision-making method, an analytic network process, was proposed to quantitatively evaluate the ecological characteristics of water features. …”
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A framework for online social networking features by Mohsen Shafiei Nikabadi, Fatemeh Maleki

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Evaluation of initial geostress field of underground powerhouse in the complex alteration area of western Sichuan based on back-propagation neural network method by Hong Zheng, Shiqi Cao, Quan Jiang, Shaojun Li, Dingping Xu, Zhiwei Li

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