Traffic Sign Recognition in Rainy Conditions Based on Federated Learning by Chen Yilin

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FArSS: Fast and Efficient Semantic Question Similarity in Arabic by Mohamed Alkaoud

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Long Memory of Pathfinding Aesthetics by Ron Coleman

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GTrust: Group Extension for Trust Models in Distributed Systems by Robson de Oliveira Albuquerque, Luis Javier García Villalba, Tai-Hoon Kim

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A New Graph-Based Molecular Descriptor Using the Canonical Representation of the Molecule by Hamza Hentabli, Faisal Saeed, Ammar Abdo, Naomie Salim

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Web Pages Ranking Algorithms: A Survey by Ayad Abdulrahman

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Sharp Bounds of the Hyper-Zagreb Index on Acyclic, Unicylic, and Bicyclic Graphs by Wei Gao, Muhammad Kamran Jamil, Aisha Javed, Mohammad Reza Farahani, Shaohui Wang, Jia-Bao Liu

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An Approach of Lebesgue Integral in Fuzzy Cone Metric Spaces via Unique Coupled Fixed Point Theorems by Muhammad Talha Waheed, Saif Ur Rehman, Naeem Jan, Abdu Gumaei, Mabrook Al-Rakhami

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A Structural Approach to Disentangle the Visualization of Bipartite Biological Networks by J. Garcia-Algarra, J. M. Pastor, M. L. Mouronte, J. Galeano

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Academic progress monitoring through neural network by Ramri Shukla, Bardia Khalilian, Sara Partouvi

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Speech Recognition System Based on Machine Learning in Persian Language by Shahed Mohammadi, Niloufar Hemati, Neda Mohammadi

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An Improved ARIMA-Based Traffic Anomaly Detection Algorithm for Wireless Sensor Networks by Qin Yu, Lyu Jibin, Lirui Jiang

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The Evolution of China’s High-Level Talent Mobility Network: A Comparative Analysis Based on School and Work Stage by Fangfang Zhang, Hui Liu, Juntao Zhang, Yi Cheng

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Human Search in a Fitness Landscape: How to Assess the Difficulty of a Search Problem by Oana Vuculescu, Mads Kock Pedersen, Jacob F. Sherson, Carsten Bergenholtz

“…Computational modeling is widely used to study how humans and organizations search and solve problems in fields such as economics, management, cultural evolution, and computer science. We argue that current computational modeling research on human problem-solving needs to address several fundamental issues in order to generate more meaningful and falsifiable contributions. …”
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Improved Image Compression Scheme Using Hybrid Encoding Algorithm by Yusra Ahmed Salih, Aree Ali Mohammed, Loay Edwar George

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Open Innovation Process for Inter-Organizational Projects by Susanne Marx

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Lattice Boltzmann Modeling of Additive Manufacturing of Functionally Graded Materials by Dmytro Svyetlichnyy

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Mathematical analysis and modeling of DNA segregation mechanisms by Bashar Ibrahim

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Smart Learning in the 21st Century: Advancing Constructionism Across Three Digital Epochs by Ilya Levin, Alexei L. Semenov, Mikael Gorsky

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Research on methods of workers’ context description in mines by Shimin FENG, Enjie DING, Zhongyu LIU, Xiao YU, Lei MENG, Zhikai ZHAO

“…The worker’s unsafe behavior is the key cause of mine accidents.The human activity is closely related with the context.Ontology is widely used in computer science in the field of information exchange and knowledge sharing,which contains complex structures and various semantics.Firstly,the research on the description of the miners’ situational information in the mining field was summarized.It introduced the general situation in the field of the Internet of things.The importance and necessity of the description of the state information of mine personnel was presented.It introduced the research background,including semantic web,context description and knowledge representation.After that,the method of information description of mine personnel was described.The ontology model was proposed based on oneM2M international technical specifications.In order to construct this ontology,it was drawed on some of the core concepts of oneM2M Base Ontology.The concept classes,attributes and relationships that are specific to the information description of mine personnel were put forward.The context description of mine personnel proposed was aimed at achieving the purposes of specification information description,data semantic labeling,knowledge sharing and reuse.Finally,the conclusions were drawn and the prospect of using the ontology method for context perception and the miners’ unsafe behavior recognition was presented.…”
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