The Evolution of the Industrial Specialization of the Radio Electronics Industry of Saint-Petersburg by D. V. Klushantsev

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Overview of detection techniques for malicious social bots by Rong LIU, Bo CHEN, Ling YU, Ya-shang LIU, Si-yuan CHEN

“…The attackers use social bots to steal people’s privacy,propagate fraud messages and influent public opinions,which has brought a great threat for personal privacy security,social public security and even the security of the nation.The attackers are also introducing new techniques to carry out anti-detection.The detection of malicious social bots has become one of the most important problems in the research of online social network security and it is also a difficult problem.Firstly,development and application of social bots was reviewed and then a formulation description for the problem of detecting malicious social bots was made.Besides,main challenges in the detection of malicious social bots were analyzed.As for how to choose features for the detection,the development of choosing features that from static user features to dynamic propagation features and to relationship and evolution features were classified.As for choosing which method,approaches from the previous research based on features,machine learning,graph and crowd sourcing were summarized.Also,the limitation of these methods in detection accuracy,computation cost and so on was dissected.At last,a framework based on parallelizing machine learning methods to detect malicious social bots was proposed.…”
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Overview of detection techniques for malicious social bots by Rong LIU, Bo CHEN, Ling YU, Ya-shang LIU, Si-yuan CHEN

“…The attackers use social bots to steal people’s privacy,propagate fraud messages and influent public opinions,which has brought a great threat for personal privacy security,social public security and even the security of the nation.The attackers are also introducing new techniques to carry out anti-detection.The detection of malicious social bots has become one of the most important problems in the research of online social network security and it is also a difficult problem.Firstly,development and application of social bots was reviewed and then a formulation description for the problem of detecting malicious social bots was made.Besides,main challenges in the detection of malicious social bots were analyzed.As for how to choose features for the detection,the development of choosing features that from static user features to dynamic propagation features and to relationship and evolution features were classified.As for choosing which method,approaches from the previous research based on features,machine learning,graph and crowd sourcing were summarized.Also,the limitation of these methods in detection accuracy,computation cost and so on was dissected.At last,a framework based on parallelizing machine learning methods to detect malicious social bots was proposed.…”
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Comparison and Analysis of Network Construction Methods for Seismicity Based on Complex Networks by Xuan He, Syed Bilal Hussain Shah, Bo Wei, Zheng Liu

“…By using the same dataset from the Southern California Seismic Network, three networks are constructed. They all present the scale-free, small-world properties, a strength-degree correlation, and an assortative mixing feature. …”
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Flow Field Analysis and Development of a Prediction Model Based on Deep Learning by Yingjie Yu, Xiufeng Zhang, Lucai Wang, Rui Tian, Xiaobin Qian, Dongdong Guo, Yanwei Liu

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Business Ecosystems: Specific Features of Organising Interactions and Communications by A. V. Lopukhin, E. A. Plaksenkov, S. N. Silvestrov

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Research on Multi-Step Prediction of Pipeline Corrosion Rate Based on Adaptive MTGNN Spatio-Temporal Correlation Analysis by Mingyang Sun, Shiwei Qin

“…In order to comprehensively investigate the spatio-temporal dynamics of corrosion evolution under complex pipeline environments and improve the corrosion rate prediction accuracy, a novel framework for corrosion rate prediction based on adaptive multivariate time series graph neural network (MTGNN) multi-feature spatio-temporal correlation analysis is proposed. …”
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ANALYSIS OF ECONOMIC THOUGHT IN THE CONTEXT OF PREREQUISITES FOR THE DEVELOPMENT OF CLUSTER FORMATIONS IN THE WORKS OF FOREIGN SCIENTISTS by Anastasiia O. Vasylchenko, Olena V. Dymchenko

“…The authors present the evolution of the formation and development of the cluster approach in Economics in Western Economic Thought, give the author’s definition of the concept of “cluster” and describe the common features characteristic of clusters, provide reasoned conclusions.…”
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Neuro-Evolution of Augmenting Topologies for Dynamic Scheduling of Flexible Job Shop Problem by Jian Huang, Yarong Chen, Jabir Mumtaz, Liuyan Zhong

“…Employing the entropy weight method, a fitness function for multiobjective optimization is formulated, facilitating the enhancement of the neural network’s structural and nodal parameters through genetic algorithms. …”
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Predicting the Evolution of Lung Squamous Cell Carcinoma In Situ Using Computational Pathology by Alon Vigdorovits, Gheorghe-Emilian Olteanu, Ovidiu Tica, Andrei Pascalau, Monica Boros, Ovidiu Pop

“…We used this dataset to train two models: a pathomics-based ridge classifier trained on 80 principal components derived from almost 2000 extracted features and a deep convolutional neural network with a modified ResNet18 architecture. …”
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Infant Type Ia Supernovae from the KMTNet. I. Multicolor Evolution and Populations by Yuan Qi Ni, Dae-Sik Moon, Maria R. Drout, Youngdae Lee, Patrick Sandoval, Jeehye Shin, Hong Soo Park, Sang Chul Kim, Kyuseok Oh

“…We conduct a systematic analysis of the early multiband light curves and colors of 19 Type Ia supernovae (SNe) from the Korea Microlensing Telescope Network SN Program, including 16 previously unpublished events. …”
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Evolution of HD-ZIP transcription factors and their function in cabbage leafy head formation by Ju Zhang, Ju Zhang, Can Chen, Can Chen, Qihang Yang, Jie Xu, Zizhuo Han, Wei Ma, Xiaomeng Zhang, Kedong Xu, Jianjun Zhao, Xueping Chen

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Semantic Segmentation of Archaeological Features on Public Lands: Case Study of Historical Cotton Terraces within the Piedmont National Wildlife Refuge, Georgia, USA by Claudine Gravel-Miguel, Grant Snitker, Jayde N. Hirniak, Katherine Peck, Alex Fetterhoff

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Multiple-Feature Construction for Image Segmentation Based on Genetic Programming by David Herrera-Sánchez, José-Antonio Fuentes-Tomás, Héctor-Gabriel Acosta-Mesa, Efrén Mezura-Montes, José-Luis Morales-Reyes

“…Genetic programming is used to automatically create and construct pipelines to extract meaningful features for segmentation tasks. Additionally, a co-evolution strategy is proposed within the evolution process to increase diversity without affecting segmentation performance. …”
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Temporal evolution of anchor tracks on a silty seafloor (Eckernförde Bay/Baltic Sea) by Inken Schulze, Mischa Schönke, Peter Feldens, Svenja Papenmeier

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NeuroScale: evolutional scale-based protein language models enable prediction of neuropeptides by Hongqi Zhang, Shanghua Liu, Wei Su, Xueqin Xie, Junwen Yu, Fuying Dao, Mi Yang, Hao Lyu, Hao Lin

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Evolution characteristics of microstructure during continuous drawing deformation of Cu-20Ag alloy by Hanjiang Wu, Tao Huang, Kexing Song, Yanjun Zhou, Shaolin Li, Yanmin Zhang, Xiaowen Peng, Yunxiao Hua

“…The results show that the as-cast Cu-20Ag alloy rod exhibits a continuous eutectic network structure. As the wire diameter decreases, this network-like grain structure gradually transforms into fibrous grains. …”
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Policy Evolution of Government Procurement of Public Services in China: A Text-Mining Perspective by Dongdan Zhu, Yuting Zhang, Zhengnan Lu

“…Results show that the development of the GPPS policy in China presents a point-to-face change feature, manifested in the evolution logic of “government purchase—government procurement of public service—all-round supporting policy.” …”
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Insights into the evolution and regulation of miRNAs from the view of their DNA replication temporal domains by Xudong Wu, Tingting Liu

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Two major ecological shifts shaped 60 million years of ungulate faunal evolution by Fernando Blanco, Ignacio A. Lazagabaster, Óscar Sanisidro, Faysal Bibi, Nicola S. Heckeberg, María Ríos, Bastien Mennecart, María Teresa Alberdi, Jose Luis Prado, Juha Saarinen, Daniele Silvestro, Johannes Müller, Joaquín Calatayud, Juan L. Cantalapiedra

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