云南6种木本植物油脂肪酸组成分析及调和优化"Fatty acid composition analysis and blending optimization of six woody plant oils in Yunnan province" by 于雪莲1，2，杨培艺3，郭娟1，罗嘉1，张帆3YU Xuelian1，2，YANG Peiyi3，GUO Juan1，LUO Jia1，ZHANG Fan3

“…Based on the dietary fatty acid recommendation, the blending products of six woody plant oils were optimized by programming algorithm with the content of functional fatty acids as the index. …”
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A method of vehicle networking environment information sharing based on distributed fountain code by Jianhang Liu, Xinyao Wang, Haibin Zhai, Shibao Li, Xuerong Cui, Qian Zhang

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Research on computing offloading method for maritime observation monitoring sensor network by Xin SU, Haoyang XUE, Yiqing ZHOU, Jinxiu ZHU

“…Considering the differences in computing capacity and communication resources of the maritime network nodes, a maritime network connectivity probability based method was proposed for selecting edge computing service nodes.Because of the different node densities in the near-shore and far-shore scenarios, two offloading models were established accordingly.In the near-shore scenario, a multi-node cooperative offloading method was proposed by using the genetic algorithm based on maritime multi-node cooperative offloading.In the far-shore scenario, a fault-tolerant offloading method was proposed based on the particle swarm algorithm with grouping cross learning.Simulation results show that compared with conventional methods, the proposed methods save over 30% network delay and reduces about 20% network costs, which can greatly enhance the maritime user experiences.…”
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Research on computing offloading method for maritime observation monitoring sensor network by Xin SU, Haoyang XUE, Yiqing ZHOU, Jinxiu ZHU

“…Considering the differences in computing capacity and communication resources of the maritime network nodes, a maritime network connectivity probability based method was proposed for selecting edge computing service nodes.Because of the different node densities in the near-shore and far-shore scenarios, two offloading models were established accordingly.In the near-shore scenario, a multi-node cooperative offloading method was proposed by using the genetic algorithm based on maritime multi-node cooperative offloading.In the far-shore scenario, a fault-tolerant offloading method was proposed based on the particle swarm algorithm with grouping cross learning.Simulation results show that compared with conventional methods, the proposed methods save over 30% network delay and reduces about 20% network costs, which can greatly enhance the maritime user experiences.…”
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Advanced Vehicle Routing for Electric Fleets Using DPCGA: Addressing Charging and Traffic Constraints by Yuehan Zheng, Hao Chang, Peng Yu, Taofeng Ye, Ying Wang

“…To efficiently solve this problem, a Dual Population Cooperative Genetic Algorithm (DPCGA) is proposed. The algorithm employs a dual-population mechanism for global exploration, effectively expanding the search space and accelerating convergence. …”
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BLACK HUMOUR: ORIGIN DESCRIPTION AND AN ATTEMPT OF IDENTIFICATION by Iryna A. Blynova.

“…The article also specifies the algorithm for identifying black humour in prose works, which involves the use of three groups of analysis methods (linguistic, semasiological and communicative). …”
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Experimental study on DEM parameters calibration for organic fertilizer by the particle swarm optimization − backpropagation neural networks by Fandi Zeng, Limin Liu, Yinzeng Liu, Hongbin Bai, Chunxiao Li, Zhihuan Zhao

“…Genetic algorithms (GA) and particle swarm optimization algorithms (PSO) were used to optimize the BP neural network. …”
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An Analytical Model for Dynamic Spectrum Sensing in Cognitive Radio Networks Using Blockchain Management by Nikhil Kumar Marriwala, Sunita Panda, Chandran Kamalanathan, Narayanan Sadhasivam, Vootla Subba Ramaiah

“…The proposed algorithm facilitates the central aggregation point for selecting nodes with outstanding performance for cooperative sensing, thus enhancing the network’s security against malicious node attacks.…”
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High-Precision Flow Rate Measurement Based on Distributed Optical Fiber Acoustic Sensing by Keqing Zhang, Baoqiang Yan, Hao Li, Junliang Lin, Jie Wu, Zhijun Yan, Qizhen Sun

“…Furthermore, to improve the measuring error at the low flow rate, we have employed the composite adaptive denoising algorithm to eliminate the background noise and system noise. …”
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Overcoming negative weighting in uncertainty-based methods: a multi-uncertainty clustering method for evidence fusion by Zhike Qiu, Yuhao Qin, Zichong Chen, Luping Zeng, Rui Cai

“…These selected measures are calculated for evidence sources and then input into an improved K-Means algorithm for evidence clustering. For each formed evidence cluster, average evidence is generated to enhance the expression of intra-cluster common features. …”
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Reinventing the Trochoidal Toolpath Pattern by Adaptive Rounding Radius Loop Adjustments for Precision and Performance in End Milling Operations by Santhakumar Jayakumar, Sathish Kannan, Poongavanam Ganeshkumar, U. Mohammed Iqbal

“…Artificial Neural Network (ANN) models were built to forecast outcomes, utilizing four distinct learning algorithms: the Batch Back Propagation Algorithm (BBP), Quick Propagation Algorithm (QP), Incremental Back Propagation Algorithm (IBP), and Levenberg–Marquardt Back Propagation Algorithm (LMBP). …”
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Multi-objective optimization of process parameters for laser cladding of Cr3C2/15-5PH composite coatings on 20CrMnTi using RSM-CMOPSO-EWM-CV by Yanbin Du, Kaiyi Mao, Xin Lei, Wensheng Ma, Qiang Liang, Jian Tu

“…Firstly, a four-factor five-level center composite design experiment scheme was developed to prepare Cr3C2/15-5PH composite coating by laser cladding on the surface of 20CrMnTi. …”
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Chemical Composition, Chemometric Analysis, and Sensory Profile of <i>Santolina chamaecyparissus L.</i> (<i>Asteraceae</i>) Essential Oil: Insights from a Case Study in Serbia and... by Biljana Lončar, Mirjana Cvetković, Milica Rat, Jovana Stanković Jeremić, Jelena Filipović, Lato Pezo, Milica Aćimović

“…Gas Chromatography–Mass Spectrometry (GC–MS) was employed for identifying the essential oil composition, while chemometric techniques like the genetic algorithm (GA), quantitative structure–retention relationship (QSRR) analysis, artificial neural network (ANN), and molecular descriptors were applied to ensure accurate and reliable results for authenticating the oil. …”
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The Appropriation of Fixed Capital: A Metaphor? by Antonio Negri

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Protocol for the OPTIMSE-1 randomised clinical trial to test specialist-led identification and management of cardio-renal-metabolic-pulmonary disease in machine learning algorithm-... by Chris P Gale, Jianhua Wu, Ramesh Nadarajah, Catherine Reynolds, Chris Hayward, Ali Wahab, Mohammad Haris, Tobin Joseph, Sheena Bennett, Adam B Smith

“…Introduction People identified as higher risk by a machine learning algorithm (Future Innovations in Novel Detection of Atrial Fibrillation [FIND-AF]) are at increased risk of cardio-renal-metabolic-pulmonary disease and cardiovascular death. …”
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Towards an intelligent integrated methodology for accurate determination of volume percentages in three-phase flow systems by Abdullah M. Iliyasu, Mohammad Sh. Daoud, Ahmed Sayed Salama, John William Grimaldo Guerrero, Kaoru Hirota

“…Further, through iterative elimination and re-evaluation, the algorithm refines the feature set, retaining only those with the highest relevance to the three-phase fluid composition. …”
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Fully secure and hierarchical identity based signature for automatic dependent surveillance broadcast systems by Qihong Yu

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End-to-End Collaborative Optimization Method for Microgrid Power Prediction and Optimal Scheduling by ZHANG Li, WANG Bao, JIA Jianxiong, SONG Zhumeng, YE Yutong, YU Yue, LIN Jiaqing, XU Xiaoyuan

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An analytical framework for regional integration development in the Guangdong-Hong Kong-Macao Greater Bay Area urban agglomeration using fuzzy clustering by Manchang Du

“…This research study solves this challenge using the Fuzzy Clustering Algorithm-based Collaborative Urban Development (CUD-FCA). …”
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Spectra of light absorption by phytoplankton pigments in the Baltic; conclusions to be drawn from a Gaussian analysis of empirical data by Dariusz Ficek, S³awomir Kaczmarek, Joanna Stoñ-Egiert, Bogdan Wo¼niak, Roman Majchrowski, Jerzy Dera

“…As a result, a Baltic version of the algorithm of light absorption by phytoplankton could be developed. …”
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