Prioritize Strategies to Address the Sustainable Supply Chain Innovation Using Multicriteria Decision-Making Methods by Mahmonir Bayanati, Ali Peivandizadeh, Mohamad Reza Heidari, Sadegh Foroutan Mofrad, Mohammad Reza Sasouli, Adel Pourghader Chobar

“…The main contribution of this research is to evaluate and rank the companies in the tire industry with an emphasis on the environmental risks of the sustainable supply chain using the hybrid best-worst method (BWM) and fuzzy VIKOR (FVIKOR). …”
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Susceptibility to Aneuploidy in Young Mothers of Down Syndrome Children by Lucia Migliore, Francesca Migheli, Fabio Coppedè

“…We recently observed an increased frequency of binucleated micronucleated lymphocytes in women who had a Down syndrome (DS) child before 35 years of age and the fluorescence in situ hybridization analysis revealed that micronuclei were mainly originating from chromosomal malsegregation events, including chromosome 21 malsegregation. …”
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Symbolic regression for strength prediction of eccentrically loaded concrete-filled steel tubular columns by Khaled Megahed

“…This study proposes a hybrid model derived from the design code standards, with performance enhanced by the symbolic regression technique. …”
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The Passing Fads and Emergent Trends of Project Culture in Construction Industry by Qinghua He, Jin Li, Jingyuan Wan, Zhenyu Zhang, Zhen Chen

“…This study proposes a framework consisting of a hybrid function/nonfunction paradigms and diagnoses project culture from explicit and implicit aspects. …”
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Dynamic characteristic analysis and load design of large floating structures based on experimental design by Guofeng Zhao, Shifan Zhu

“…In order to make qualitative and quantitative analysis of the regularity, the hydrodynamic response of large-scale ocean engineering structures under different wave loads is experimentally designed and studied based on the experimental design method and the moving least squares–Kriging hybrid fitting method. The boundary element method based on potential flow theory is applied to calculate the frequency domain response of the structure, and the time domain response of the structure is calculated by the Fourier transform and convolution method. …”
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Advantages of Combining Factorization Machine with Elman Neural Network for Volatility Forecasting of Stock Market by Fang Wang, Sai Tang, Menggang Li

“…The Elman recurrent network is renowned for its capability of dealing with dynamic information, which has made it a successful application to predicting. We developed a hybrid approach which combined Elman recurrent network with factorization machine (FM) technique, i.e., the FM-Elman neural network, to predict stock market volatility. …”
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Sound recurrence analysis for acoustic scene classification by Jakob Abeßer, Zhiwei Liang, Bernhard Seeber

“…In the ASC experiments, hybrid network architectures, which combine spectrogram features and features from sound recurrence analysis, show increased accuracy for those classes with prominent sound repetition patterns. …”
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Development and Validation of a Capacitor–Current Circuit Model for Evaporation-Induced Electricity by Wenluan Zhang, Runru Tristan Liu, Yumin Huang

“…These findings were explained by a hybrid model incorporating a capacitor and current source components, and subsequent discharge through internal resistance. …”
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Physiology-informed regularisation enables training of universal differential equation systems for biological applications. by Max de Rooij, Balázs Erdős, Natal A W van Riel, Shauna D O'Donovan

“…Nevertheless, estimating parameters for these hybrid models remains difficult with sparse data and limited sampling durations that are common in biological applications. …”
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Enhancing surface detection: A comprehensive analysis of various YOLO models by G. Deepti Raj, B. Prabadevi

“…Our results show notable improvements, with the ECA hybrid attention mechanism achieving 2–4 times faster inference times while maintaining high accuracy. …”
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Smart City Traffic Flow and Signal Optimization Using STGCN-LSTM and PPO Algorithms by Tuxiang Lin, Rongliang Lin

“…Extensive experiments and ablation studies highlight the complementary strengths of STGCN and LSTM, with the hybrid model outperforming standalone variants. The PPO algorithm dynamically adjusts signal timings, reducing vehicle waiting times by 30% and increasing traffic throughput by 15%. …”
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QoS Strategies for Wireless Multimedia Sensor Networks in the Context of IoT at the MAC Layer, Application Layer, and Cross-Layer Algorithms by Muwonge Ssajjabbi Bernard, Tingrui Pei, Kimbugwe Nasser

“…We thus review a number of protocols here including contention-free and contention-based protocols as well as the hybrid of these. This paper also surveys a number of state-of-the-art machine-to-machine, publish/subscribe, and request/response protocols at the application layer. …”
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AI-Assisted Forecasting of a Mitigated Multiple Steam Generator Tube Rupture Scenario in a Typical Nuclear Power Plant by Sonia Spisak, Aya Diab

“…Among these models, the CNN+LSTM hybrid configuration demonstrated superior performance, excelling in both predictive accuracy and computational efficiency. …”
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Implementation of Genetic Algorithm Integrated with the Deep Neural Network for Estimating at Completion Simulation by Karrar Raoof Kareem Kamoona, Cenk Budayan

“…The second phase of this research is about the integration of two input algorithms hybridized with the proposed and the comparable predictive intelligent models. …”
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Machine Learning with Tunicate Swarm Optimization for Improved Disc Herniation Prediction by Theofilos Gofas, Argyros Maris

“…The study's findings showcase the effectiveness of the prediction model for disk herniation. Through hybridization with one optimizer, the three base models yield the following outputs: ETC + TSO (ETTS), NBC + TSO (NBTS), and LRC + TSO (LRTS). …”
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Review of Condition Rating and Deterioration Modeling Approaches for Concrete Bridges by Nour Faris, Tarek Zayed, Ali Fares

“…Moreover, the performance of most deterioration models was dependent on the quality of the historical condition data. The advancement of hybrid deterioration models, such as integrating artificial intelligence (AI) with stochastic and physics-based approaches, has proven to be a powerful strategy, combining the strengths of each method to deliver enhanced condition predictions. …”
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Computer Vision-Based Patched and Unpatched Pothole Classification Using Machine Learning Approach Optimized by Forensic-Based Investigation Metaheuristic by Nhat-Duc Hoang, Thanh-Canh Huynh, Van-Duc Tran

“…To optimize the SVC performance, the FBI algorithm is utilized to fine-tune the SVC hyperparameters. To establish the hybrid FBI-SVC framework, an image dataset consisting of 600 samples has been collected. …”
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Design and Analysis of a Parallel Elastic Shoulder Joint for Humanoid Robotics Application by Sharafatdin Yessirkepov, Timur Umurzakov, Michele Folgheraiter

“…This paper presents an innovative hybrid cable-driven shoulder joint for humanoid robotics application. …”
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Körper und Kacheln by Anna Carnap, Viktoria Flasche

“…Während die Frage nun meistens nicht mehr «digital oder analog?» lautet, sondern hybride Lernumgebungen in vielen Bildungsinstitutionen selbstverständlich und erwünscht sind, bleiben die pädagogischen Implikationen unberücksichtigt oder schwingen lediglich diffus mit. …”
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A Two-Stage Chance Constrained Approach with Application to Stochastic Intermodal Service Network Design Problems by Yi Zhao, Qingwan Xue, Zhichao Cao, Xi Zhang

“…The first stage allows for the selection of operated services, while the second stage focuses on the determination of intermodal container routes where capacity and on-time delivery chance constraints are presented. A hybrid heuristic algorithm, incorporating sample average approximation and ant colony optimisation, is employed to solve this model. …”
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