Multi-Physical Intelligent Analysis of the Thermal-Structural-Optical Coupling for Mirror Based on Surrogate Model by Wenxiong Li, Junli Shen, Zhenyu Lu, Shudong Men, Qingwen Wu

“…Compared with traditional methods, the hybrid network has the smallest symmetric mean absolute percentage error (SMAPE) of 2.674% on the same test set, which indicates that the hybrid network obtains a higher prediction accuracy of the surrogate model. …”
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The use of maize haploidy inducers as a tool in agricultural plant biotechnology by A. V. Ulyanov, A. V. Karlov, E. B. Khatefov

“…The discovery of the ability of some mutations to stimulate haploidy during hybridization made it possible to create one of the most promising and sought-after trends in the field of reproductive biology. …”
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Optimized Adaptive Neuro-Fuzzy Inference System Using Metaheuristic Algorithms: Application of Shield Tunnelling Ground Surface Settlement Prediction by Xinni Liu, Sadaam Hadee Hussein, Kamarul Hawari Ghazali, Tran Minh Tung, Zaher Mundher Yaseen

“…Among all the developed hybrid models, ANOFS-PSO model achieved the best predictability performance. …”
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Critical Development of Electric Fixed-Wing Manned Civil Aircraft by Yu Yifei

“…The four common architectures for electric airplanes, which are the all-electric, series hybrid electric, parallel hybrid electric and turboelectric, are briefly explained. …”
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A Framework for Cloud-Based Healthcare Services to Monitor Noncommunicable Diseases Patient by Muhammad Al-Qurishi, Mabrook Al-Rakhami, Fattoh Al-Qershi, Mohammad Mehedi Hassan, Atif Alamri, Hameed Ullah Khan, Yang Xiang

“…This paper presents a new hybrid framework based on mobile multimedia cloud that is scalable and efficient and provides cost-effective monitoring solution for noncommunicable disease patient. …”
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Progress in Tungsten Trioxide-Based Materials for Energy Storage and Smart Window Applications by Khursheed Ahmad, Tae Hwan Oh

“…Previously, WO₃-based hybrid composites were explored for SC and ECD applications. …”
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On the Benefits of Semi-Active Suspensions with Inerters by Xin-Jie Zhang, Mehdi Ahmadian, Kong-Hui Guo

“…The behaviour of semi-active suspensions with inerters using Groundhook, Skyhook, and Hybrid control has been evaluated and compared to the performance of passive suspensions with inerters. …”
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Annual Energy Consumption Forecasting Based on PSOCA-GRNN Model by Huiru Zhao, Sen Guo

“…Accurate energy consumption forecasting can provide reliable guidance for energy planners and policy makers, which can also recognize the economic and industrial development trends of a country. In this paper, a hybrid PSOCA-GRNN model was proposed for the annual energy consumption forecasting. …”
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Supplier Selection Group Decision Making in Logistics Service Value Cocreation Based on Intuitionistic Fuzzy Sets by Qifeng Wang, Hongbo Lv

“…In this paper, an induced intuitionistic fuzzy Einstein hybrid aggregation operator (I-IFEHA) is investigated for supplier selection group decision making in logistics service value cocreation based on fuzzy measures. …”
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Citrus Diseases Exotic to Florida: Sweet Orange Scab (SOS) by Kuang-Ren Chung, Lavern W. Timmer

“…Citrus scab is serious on many tangerines and tangerine hybrids such as Temple, as well as grapefruit and lemons, but rarely causes lesions on sweet orange. …”
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Evaluation of a Wireless Data Transmission Using a Low-Cost Commercial-off-the-Shelf Wi-Fi Router Applied to Dynamic Tests by Mateus Rodrigues Rocha, Anderson Govertz, Rogerio Pirk, Edilson Alexandre Camargo

“…This work presents a brief overview of a hybrid instrumentation system, in which the Wi-Fi standard communication protocol is highlighted. …”
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Dent de loup et cœur de cerf : observations sur la place de l’animal dans l’idéologie de la guerre et du sacrifice à Teotihuacan by Nicolas Latsanopoulos

“…The study of canidae maxillar collars of the Feathered Serpent pyramid also testifies to the original hybridation practices among domestic, wild and hybrid canidae.…”
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Forecasting Uranium Resource Price Prediction by Extreme Learning Machine with Empirical Mode Decomposition and Phase Space Reconstruction by Qisheng Yan, Shitong Wang, Bingqing Li

“…A hybrid forecasting approach combining empirical mode decomposition (EMD), phase space reconstruction (PSR), and extreme learning machine (ELM) for international uranium resource prices is proposed. …”
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Selection of green supplier by multi-moora combination method and two-stage clustering by Mahsa Niavand, Mohammad Amin Adibi, Adel Pourghader Chobar

“…The advantages of the proposed hybrid method are then discussed here to demonstrate its superiority.…”
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A Review of Regenerative Braking Methods for Induction Motors in Electric Propulsion System by Muhammad Rifqi Nur Sabilillah, Rini Nur Hasanah

“…Regenerative braking is a crucial technology for enhancing the energy efficiency of electric vehicles (EVs) and hybrid electric vehicles (HEVs) by converting kinetic energy back into electrical energy during braking. …”
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Computer Simulation Tests of Feedback Error Learning Controller with IDM and ISM for Functional Electrical Stimulation in Wrist Joint Control by Takashi Watanabe, Yoshihiro Sugi

“…Feedforward controller would be useful for hybrid Functional Electrical Stimulation (FES) system using powered orthotic devices. …”
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Nematode Management Using Sorghum and Its Relatives by K. Dover, Koon-Hui Wang, Robert McSorley

“…Sorghum-sudangrass (S. bicolor x S. sudanense), also known as sorghum x sudangrass, sudax, or sudex, is a hybrid between sorghum (S. bicolor) and sudangrass (S. sudanense). …”
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A Cooperative Coevolutionary Cuckoo Search Algorithm for Optimization Problem by Hongqing Zheng, Yongquan Zhou

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Nematode Management Using Sorghum and Its Relatives by K. Dover, Koon-Hui Wang, Robert McSorley

“…Sorghum-sudangrass (S. bicolor x S. sudanense), also known as sorghum x sudangrass, sudax, or sudex, is a hybrid between sorghum (S. bicolor) and sudangrass (S. sudanense). …”
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Cooperative Coevolution with Two-Stage Decomposition for Large-Scale Global Optimization Problems by H. D. Yue, Y. Sun

“…In the first stage, to decompose problems using low computational resources, a hybrid-pool differential grouping (HPDG) method is proposed, which contains a hybrid-pool-based detection structure (HPDS) and a unit vector-based perturbation (UVP) strategy. …”
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