Laboratory Study on the Potential EOR Use of HPAM/VES Hybrid in High-Temperature and High-Salinity Oil Reservoirs by Dingwei Zhu, Jichao Zhang, Yugui Han, Hongyan Wang, Yujun Feng

“…Core flooding tests showed that the oil recovery factors of HPAM/EDAB hybrids are between those of HPAM and EDAB. These results are attributed to the synergistic effect between HPAM and EDAB in the hybrid.…”
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A Novel Hybrid Radial Basis Function Method for Predicting the Fresh and Hardened Properties of Self-Compacting Concrete by Zhangabay Nurlan

“…It means that the correlation between observed and predicted properties of SCC from hybrid models is acceptable so that it represents high accuracy in the training and approximating process. …”
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CuO-Loaded Macroreticular Anion Exchange Hybrid Polymers Obtained via Tetrachlorocuprate(II) Ionic Form by Elżbieta Kociołek-Balawejder, Ewa Stanisławska, Irena Jacukowicz-Sobala, Daniel Ociński

“…Amberlite IRA900 Cl, the macroreticular, polystyrene/divinylbenzene anion exchanger containing quaternary ammonium groups, was used as the support for copper(II) oxide deposition, and, as a result a new hybrid ion exchanger (HIX) was obtained. The CuO deposit was introduced into the anion exchanger structure in two steps conducted batchwise at ambient temperature. …”
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A novel MADM model integrating hybrid information for evaluating the development prospects of urban new energy vehicles. by Yanlong Dong, Donghui Wang, Fanlong Zeng, Yongzheng Zhang

“…These objective weights are then integrated with the Vlsekriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method, facilitating a structured group decision-making approach that synthesizes hybrid evaluation information. Based on modular thinking, hybrid evaluation information is synthesized to evaluate and rank the NEVs development prospects of each city. …”
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Revised direct bandgap and band parameters for AlP: hybrid-functional first-principles calculations vs experiment by Cónal Murphy, Eoin P. O’Reilly, Christopher A. Broderick

“…This prediction is validated by using interband transition energies obtained from the hybrid-functional band structure to perform a constrained fit to spectroscopic ellipsometry data from the literature. …”
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A case report of confirmed difficult pulmonary tuberculosis based on the hybrid capture-based tNGS method by Weiqian Chen, Huimin Chen, Ze Liu, Xinle Chi, Yaomeng Chen, Huan Ye, Wenjie Huang, Chenlei Cao, Wei Weng

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A Hybrid Approach by Integrating Brain Storm Optimization Algorithm with Grey Neural Network for Stock Index Forecasting by Yanqiu Sun

“…This paper aims to develop a novel hybrid stock index forecasting model named BSO-GNN based on the brain storm optimization (BSO) approach and the grey neural network (GNN) model by taking full advantage of the grey model in dealing with data with small samples and the neural network in handling nonlinear fitting problems. …”
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Enhanced Bayesian model for multienvironmental selection of winter hybrids maize: assessing grain yield using ‘ProbBreed’ by Bikas Basnet, Chitra Bahadur Kunwar, Umisha Upreti

Subjects: “…Hybrids maize…”
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An experimental and numerical study of the ballistic behavior of an epoxy matrix hybrid composite reinforced with aramid fabric and fique fabric by Bernardo Soares Avila de Cêa, Raí Felipe Pereira Junio, Douglas Santos Silva, Fábio da Costa Garcia Filho, Sergio Neves Monteiro, Lucio Fabio Cassiano Nascimento

Subjects: “…Hybrid composites…”
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Presenting a Novel Hybrid Approach of Text Mining Sentiment Analysis in Twitter Using CART Decision Tree by Nasir Tayarani, Mehrdad Jalali

“…In this paper, a new hybrid approach of machine learning and vocabulary-based method to text-mining sentiment analysis on Twitter. …”
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POST-PANDEMIC TRADE FAIR DYNAMICS: A LONGITUDINAL STUDY OF EXHIBITORS' VIEWS ON DIGITAL AND HYBRID TRADE FAIRS by Dimitris KOURKOURIDIS, Ioannis FRANGOPOULOS, Asimenia SALEPAKI

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Kidney Diseases Classification using Hybrid Transfer-Learning DenseNet201-Based and Random Forest Classifier by Abdalbasit Mohammed Qadir, Dana Faiq Abd

“…This study focuses on kidney stones, cysts, and tumors, the three most common types of renal illness, using a dataset of 12,446 CT urogram and whole abdomen images, aiming to move toward an AI-based kidney disease diagnosis system while contributing to the wider field of artificial intelligence research. In this study, a hybrid technique is used by utilizing both pre-train models for feature extraction and classification using machine learning algorithms for the task of kidney disease image diagnosis. …”
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Two-Stage GPR Image Inversion Method Based on Multi-Scale Dilated Convolution and Hybrid Attention Gate by Mingze Wu, Qinghua Liu, Shan Ouyang

“…To address these issues, this study proposes a two-stage GPR image inversion network called MHInvNet based on multi-scale dilated convolution (MSDC) and hybrid attention gate (HAG). This method first denoises the B-scan through the first network MHInvNet1, then combines the denoised B-scan from MHInvNet1 with the undenoised B-scan as input to the second network MHInvNet2 for inversion to reconstruct the distribution of the permittivity of underground targets. …”
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CaloQVAE: Simulating high-energy particle-calorimeter interactions using hybrid quantum-classical generative models by Sehmimul Hoque, Hao Jia, Abhishek Abhishek, Mojde Fadaie, J. Quetzalcoatl Toledo-Marín, Tiago Vale, Roger G. Melko, Maximilian Swiatlowski, Wojciech T. Fedorko

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Genetic Diversity Analysis of Mulberry Silkworm (Bombyx Mori L.) Hybrids and Breeds in Azerbaijan Using RAPD Markers by Mammadov Ayaz, Aghayeva Saltanat, Bakırov Guduret, Gulubeyova Mahpuba, Ismayılova Gular

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Statistical Analysis of Joint Type-I Generalized Hybrid Censoring Data from Burr XII Lifetime Distributions by Mahmoud Ragab, Aisha Fayomi, Ali Algarni, G. A. Abd-Elmougod, Neveen Sayed-Ahmed, S. M. Abo-Dahab, S. Abdel-Khalek

“…For lines having the same facility, the lifetime of the product is distributed by Burr XII, the lifetime distribution, and units are tested under type-I generalized hybrid censoring scheme. The observed censoring data are used under maximum likelihood and the Bayes method to estimate the model parameters. …”
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A Building‐Integrated Hybrid Photovoltaic‐Thermal (PV‐T) Window for Synergistic Light Management, Electricity and Heat Generation by Francesco Polito, Gan Huang, Christos N. Markides

“…In this work, a building‐integrated hybrid photovoltaic‐thermal window (PVTW) is fabricated and tested, composed of a semi‐transparent photovoltaic (PV) layer and a selectively absorptive liquid‐based thermal absorber. …”
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Towards the Development of a Cloud Computing Intrusion Detection Framework Using an Ensemble Hybrid Feature Selection Approach by Noah Oghenefego Ogwara, Krassie Petrova, Mee Loong Yang

“…It deploys a proposed new hybrid ensemble feature selection (FS) method. The ensemble includes FS algorithms of three different types (filter, wrapper, and embedded algorithms). …”
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Transcriptome Analysis of Interspecific Hybrid between Brassica napus and B. rapa Reveals Heterosis for Oil Rape Improvement by Jinfang Zhang, Guangrong Li, Haojie Li, Xiaobin Pu, Jun Jiang, Liang Chai, Benchuan Zheng, Cheng Cui, Zujun Yang, Yongqing Zhu, Liangcai Jiang

“…The hybrid between Brassica napus and B. rapa displays obvious heterosis in both growth performance and stress tolerances. …”
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Prediction of the Influential Factors on Eating Behaviors: A Hybrid Model of Structural Equation Modelling-Artificial Neural Networks by Maryam M. Kheirollahpour, Mahmoud M. Danaee, Amir Faisal A. F. Merican, Asma Ahmad A. A. Shariff

“…The aim of this study was to explore the potential of a hybrid model to predict the eating behaviors. The hybrid model of structural equation modelling (SEM) and artificial neural networks (ANN) was applied to evaluate the prediction model. …”
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