A model of mobile robots in networks with resolvability properties. by Carlos Camacho Campos, José Carlos Camacho Moreno, Dorota Kuziak, Zahid Raza, Ismael G Yero

“…We relate this parameter with the classical metric dimension and the resolving number of graphs and compute its value for several graph classes.…”
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An Analysis of the Mechanical Characteristics and Constitutive Relation of Cemented Mercury Slag by Xinwei Li, Sui Zhang, E-chuan Yan, Duoyou Shu, Yangbing Cao, Hui Li, Siyang Wang, You He

“…This study focuses on mercury slag in the Tongren area of Guizhou Province, China. Computed tomography (CT) is used with uniaxial and triaxial compression tests to examine the mechanical changes in cemented mercury slag and its formation. …”
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SSCANL decoder based joint iterative detection and decoding algorithm by Chongyang LIU, Rui GUO

“…In order to improve the receiver performance of the sparse code multiple access (SCMA) system based on polar codes, the cyclic redundancy check (CRC) aided joint iterative detection and decoding receiver scheme based on simplify soft cancellation list (SSCANL) decoder (C-JIDD-SSCANL) was proposed.A polar code decoder in the C-JIDD-SSCANL receiver used the SSCANL algorithm.In this algorithm, decoding node deletion technology was used to simplify L times of soft cancellation (SCAN) decoding required by soft cancellation list (SCANL) algorithm by deleting frozen bit nodes, then the computational process of soft information update between nodes was simplified, and the computational complexity of decoding algorithm was reduced.The simulation results show that the SSCANL algorithm can obtain the same performance as the SCANL algorithm, and its computational complexity is reduced compared with the SCANL algorithm.Compared with the joint iterative detection and decoding scheme based on SCAN decoder (JIDD-SCAN) and the CRC aided joint iterative detection and decoding scheme based on SCAN decoder (C-JIDD-SCAN), the performance of C-JIDD-SSCANL receiver scheme based on SSCANL decoder is improved by about 0.65 dB and 0.59 dB respectively when the bit error rate is 10^-4.…”
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SSCANL decoder based joint iterative detection and decoding algorithm by Chongyang LIU, Rui GUO

“…In order to improve the receiver performance of the sparse code multiple access (SCMA) system based on polar codes, the cyclic redundancy check (CRC) aided joint iterative detection and decoding receiver scheme based on simplify soft cancellation list (SSCANL) decoder (C-JIDD-SSCANL) was proposed.A polar code decoder in the C-JIDD-SSCANL receiver used the SSCANL algorithm.In this algorithm, decoding node deletion technology was used to simplify L times of soft cancellation (SCAN) decoding required by soft cancellation list (SCANL) algorithm by deleting frozen bit nodes, then the computational process of soft information update between nodes was simplified, and the computational complexity of decoding algorithm was reduced.The simulation results show that the SSCANL algorithm can obtain the same performance as the SCANL algorithm, and its computational complexity is reduced compared with the SCANL algorithm.Compared with the joint iterative detection and decoding scheme based on SCAN decoder (JIDD-SCAN) and the CRC aided joint iterative detection and decoding scheme based on SCAN decoder (C-JIDD-SCAN), the performance of C-JIDD-SSCANL receiver scheme based on SSCANL decoder is improved by about 0.65 dB and 0.59 dB respectively when the bit error rate is 10^-4.…”
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Development and application of a model for the automatic evaluation and classification of onions (Allium cepa L.) using a Deep Neural Network (DNN) by Piotr Rybacki, Przemysław Przygodziński, Przemysław Łukasz Kowalczewski, Zuzanna Sawinska, Ireneusz Kowalik, Andrzej Osuch, Ewa Osuch

“… Evaluating onions for size, shape, damage, colour and discolouration is the first and most important step in classifying them for raw material quality, processing and the horticultural and agri-food sectors. …”
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Research of MIP-HCO Model Based on k-Nearest Neighbor and Branch-and-Bound Algorithms in Aerospace Emergency Launch Missions by Xiangzhe Li, Feng Zhan, Jinqing Huang, Yan Chen

“…The key innovation lies in integrating k-Nearest Neighbor (KNN) with Branch and Bound (B&B) to enhance computational efficiency and global optimality. The first layer constructs a spatiotemporal optimization model, considering launch sites, storage proximity, and process duration. …”
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AFT-SAM: Adaptive Fusion Transformer with a Sparse Attention Mechanism for Audio–Visual Speech Recognition by Na Che, Yiming Zhu, Haiyan Wang, Xianwei Zeng, Qinsheng Du

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Enhancing Weakly-Supervised Video Anomaly Detection With Temporal Constraints by Francisco Caetano, Pedro Carvalho, Christina Mastralexi, Jaime S. Cardoso

“…Anomaly Detection has been a significant field in Machine Learning since it began gaining traction. In the context of Computer Vision, the increased interest is notorious as it enables the development of video processing models for different tasks without the need for a cumbersome effort with the annotation of possible events, that may be under represented. …”
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Constraint Consensus Based Artificial Bee Colony Algorithm for Constrained Optimization Problems by Liling Sun, Yuhan Wu, Xiaodan Liang, Maowei He, Hanning Chen

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On a Ssystem of Coupled Linear Oscillators with Fractional Friction and Non-Constant Coefficients for Describing Geoacoustic Emission by Sergienko, D.F., Parovik, R.I.

“…It is shown that fractional friction can affect the process of interaction of geoacoustic emission sources.…”
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U SMART ZONE – Creating highly realistic virtual environment for vehicle-in-the-loop simulations by Ondřej Piksa, Adam Orlický, Martin Scháno

“…In recent years, computer simulation has been used for these purposes. …”
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CFD Modeling of Solid Suspension in a Stirred Tank: Effect of Drag Models and Turbulent Dispersion on Cloud Height by Shitanshu Gohel, Shitalkumar Joshi, Mohammed Azhar, Marc Horner, Gustavo Padron

“…Many chemical engineering processes involve the suspension of solid particles in a liquid. …”
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Sparse long short-term memory for information fusion in wireless sensor networks by Yangfan Zhou, Mingchuan Zhang, Ping Xie, Junlong Zhu, Ruijuan Zheng, Qingtao Wu

“…Wireless sensor networks are designed to perceive, gather, and process external environmental information and send it to the observer. …”
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Remote Sensing Applications in Ocean Observation (Second Edition) by Chung-Ru Ho

“…The articles presented in this Special Issue epitomize the convergence of cutting-edge sensor technologies, innovative data processing techniques, and advanced algorithmic approaches in ocean remote sensing. …”
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Between the particular and the universal: the teaching of Brazilian Philosophy by halwaro Freire, Camila Rodrigues

“…The research environment was specifically my experience as a teacher in the Telecommunications, Computer Science and Chemistry courses at IFCE, in Fortaleza. …”
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Program semantic analysis model for code reuse detection by GUO Xi, WANG Pan

“…Program similarity analysis had a wide range of applications in areas such as code plagiarism and property protection, but it generally suffered from problems such as excessive computational overhead, a code similarity analysis method based on fuzzy matching and statistical inference was proposed. …”
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A Non-Anthropocentric Approach to The Digital Writing : Some Remarks on The Agency of Digital Writing by Sung do Kim

“…I have argued, following some key notions of cybersemiosis, intermediation, architext, ANT that conceptions of material agency find in computational writing machines, a more productive explanative model. …”
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Artistic Thinking in Scientific Research by Magda Stanová

“…I also briefly introduce the problem of verbal overshadowing and the effects it may have on the creative process in art. …”
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Zastosowanie Nieliniowej Teorii Sprężystości do Obliczania Pewnych Typów Łączników Gumowych by S. Zahorski

“…This is a continuation of the author's papers [1] and [2] devoted to the application of the methods of (geometrically and physically) non-linear theory of elasticity to the computation of rubber connecting pieces. The problem under consideration in the present paper is that of circularly symmetric shearing of cylindrical connecting pieces in which a cylindrical rubber part has been pressed between two metal tubes and the problem of axial torsion of cylindrical connecting pieces in which the cylindrical rubber part has been joined to the metal tubes during the vulcanization process. …”
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Depth-based human activity recognition via multi-level fused features and fast broad learning system by Huang Yao, Mengting Yang, Tiantian Chen, Yantao Wei, Yu Zhang

“…At last, fast broad learning system based on matrix decomposition is proposed to accelerate the training process and enhance the classification results. The recognition results on three benchmark data sets show that our method outperforms the state-of-the-art methods in term of accuracy, especially when the number of training samples is small.…”
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