A kind of improved bivariate even order Bernoulli-type multiquadric quasi-interpolation operator and its application in two-dimensional coupled Burgers’ equations by Ruifeng Wu

“…Abstract Multiquadric quasi-interpolation is an efficient high-dimensional approximation algorithm. It can directly obtain the approximation term and its derivatives without solving any large-scale linear equations. …”
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A Three-Dimensional OFDM System with PAPR Reduction Method for Wireless Sensor Networks by Zhenxing Chen, Seog Geun Kang

“…Here, we propose an improved partial transmit sequence (PTS) technique to reduce PAPR of the OFDM system with 3D modulation formats. …”
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Fractional-Order MFAC with Application to DC Motor Speed Control System by Haizhen Wang, Huihua Jian, Jianhua Huang, Yonghong Lan

“…First, we use a fractional-order dynamic data model relating the relationship between the output signal and the fractional-order input variables based on the compact form dynamic linearization. Then, the pseudo-partial derivative (PPD) is obtained using a higher-order estimation algorithm that includes more information about past input and output data. …”
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MISAO: A Multi-Strategy Improved Snow Ablation Optimizer for Unmanned Aerial Vehicle Path Planning by Cuiping Zhou, Shaobo Li, Cankun Xie, Panliang Yuan, Xiangfu Long

“…In response to the defects in the SAO algorithm, which has poor search efficiency and is prone to getting trapped in local optima, this article suggests a multi-strategy improved (MISAO) snow ablation optimizer. …”
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Non-Destructive Identification of Wool and Cashmere Fibers Based on Cascade Optimizations of Interval-Wavelength Selection Using NIR Spectroscopy by Xin Chen, Qingle Lan, Yaolin Zhu, Jinni Chen

“…Then, the backward interval partial least squares (BiPLS) algorithm is applied for the preliminary selection of spectral intervals, followed by the application of three different variable selection algorithms, competitive adaptive reweighted sampling (CARS), successive projection algorithm (SPA) and whale optimization algorithm (WOA), for secondary wavelength optimization, respectively. …”
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Probability of stealth multiplets in sample-multiplexing for droplet-based single-cell analysis by Fumio Nakaki, James Sharpe

“…Results We developed a simple theoretical model to predict four classes of possible multiplets in mx-scRNA-seq: Homogeneous stealth, partial stealth, multilabelled, and unlabelled. We estimated the probability of each class and have found that the partial stealth multiplet, which has been previously overlooked, may impact the results of the whole dataset, particularly when the labelling process or demultiplexing is suboptimal. …”
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Yang-Mills flows for multilayered graphene by Vasilii Iugov, Nikita Nekrasov

“…We provide a numeric algorithm transforming the original single-particle Hamiltonian to the direct sum of ∂ ¯ A $$ {\overline{\partial}}_A $$ operators coupled to abelian gauge fields with non-zero c 1’s. …”
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Drill pipe counting for underground drilling rigs based on miner pose recognition by LIU Jie, YANG Cheng, CHENG Zeming, SUN Xiaohu, XU Hao, SHENG Guoyu

“…Experimental results showed that the BlazePose-DPC algorithm was able to perform accurate counting even under challenging lighting conditions or partial occlusion. …”
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On the Solution of Double-Diffusive Convective Flow due to a Cone by a Linearization Method by Mahesha Narayana, Precious Sibanda

“…Diffusion-thermo and thermal-diffusion effects have been taken into account. The governing partial differential equations are transformed into ordinary differential equations using a suitable similarity transformation. …”
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Mutual-Energy Inner Product Optimization Method for Constructing Feature Coordinates and Image Classification in Machine Learning by Yuanxiu Wang

“…First, by analyzing the solution space and eigenfunctions of the partial differential equations describing a non-uniform membrane, the mutual-energy inner product is defined. …”
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Short-Term Load Monitoring of a Power System Based on Neural Network by Di Yang

“…The partial hypothesis is superimposed in the following part to obtain the final short-term forecast. …”
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A Reliable Treatment of Homotopy Perturbation Method for Solving the Nonlinear Klein-Gordon Equation of Arbitrary (Fractional) Orders by A. M. A. El-Sayed, A. Elsaid, D. Hammad

“…The reliable treatment of homotopy perturbation method (HPM) is applied to solve the Klein-Gordon partial differential equation of arbitrary (fractional) orders. …”
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Application of Linear Programming in Profit Maximization (A Case Study of Crunches Fried Chicken at Miami Tours and Travel Hotel in Kabale District) by Tayebwa, Osbert

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Hardware-Based Calculation of Mean Square Error for Automatic Target Recognition in SAR Images by Lucas Urbanski, Gustavo Farhat Araujo, Renato Machado, Roberto D'Amore

“…A reference algorithm in Python was used to determine whether the mathematical operations performed by the architecture are correct, comparing the results between different processing phases, such as the determination of the equivalence of coordinates between the target and the models (i.e., coordinates “matching”), partial calculations of the mean squared error, and the final result of the operations. …”
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Fuzzy Decision Tree Based on Fuzzy Rough Sets and Z-Number Rules by Boya Zhu, Jingqian Wang, Xiaohong Zhang

“…The decision tree algorithm is widely used in various classification problems due to its ease of implementation and strong interpretability. …”
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Optimal control strategy for trains in emergency self-propelled running conditions by ZHU Yutong

“…By utilizing the optimal constant speed curve, a coasting energy-saving optimization algorithm was proposed to further reduce energy consumption during emergency self-propelled train operation. …”
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Multi-authority attribute hidden for electronic medical record sharing scheme based on blockchain by Lin JIN, Youliang TIAN

“…Currently, there is no data exchanging and sharing between different hospitals, and it is easy to form data islands.At the same time, regional medical data contains a large amount of sensitive information of patients.The public acquisition, sharing and circulation of these data will lead to malicious tampering, theft, abuse and loss of ownership, thereby revealing patient privacy.In addition, the size of medical data is enormous and the data is unstructured, then it is more difficult to prevent and hold accountable some highly targeted malicious attacks, such as malicious attacks on medical data theft, tampering, and extortion.In view of the above problems, a blockchain-based on multi-authority attribute hidden electronic medical record sharing scheme was proposed to achieve fine-grained access to shared electronic medical records while ensuring patient privacy.The Multi-Authorization Attribute Encryption (MA-ABE) algorithm was introduced, which used multi-authority organizations to manage decentralized attributes.It also used hash functions to identify different users, in order to effectively resist collusion attacks between users with different authorizations.Besides, the linear secrets sharing scheme (LSSS) was used to realize partial hiding of attributes, and the attributes were divided into two parts:attribute name and attribute value.In addition, combined with the characteristics of blockchain openness, transparency and tamper-proof, the design of access policy can update the algorithm.Based on the access policy update algorithm, the policy block was added.The new access policy was uploaded to the blockchain to form a policy update traceability chain, which can realize distributed and reliable access control management under the condition of hidden policy.It can also support data privacy protection at the same time, and traceability of user behavior.The theoretical proof and experimental analysis have proved that this scheme protect attribute privacy effectively, while reduces computational overhead.…”
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Detection of Adulteration of Panax Notoginseng Powder by Terahertz Technology by Bin Li, Hai Yin, A-kun Yang, Ai-guo Ouyang

“…Then, the least square support vector machine (LS-SVM) algorithm and partial least square (PLS) algorithm are used to establish the quantitative analysis model. …”
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An Adaptive Large Neighborhood Search for the Larger-Scale Instances of Green Vehicle Routing Problem with Time Windows by Zixuan Yu, Ping Zhang, Yang Yu, Wei Sun, Min Huang

“…The core of ALNS algorithm is destroy operators and repair operators. …”
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Deep Reinforcement Learning for Uplink Scheduling in NOMA-URLLC Networks by Benoit-Marie Robaglia, Marceau Coupechoux, Dimitrios Tsilimantos

“…The challenge of addressing uplink URLLC requirements in NOMA systems is related to the combinatorial complexity of the action space due to the possibility to schedule multiple devices, and to the partial observability constraint that we impose to our algorithm in order to meet the IoT communication constraints and be scalable. …”
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