Short-Term Power Prediction Method for Photovoltaic Power Plants Based on ECA-MTGNN Integration by HUANG Congzhi, LIU Yantong

“…To address the issue of low accuracy in short-term power prediction for photovoltaic (PV) power plants, this paper proposes a power prediction method that integrates an Efficient Channel Attention Mechanism and a Multivariate Time Series Graph Neural Network (ECA-MTGNN). …”
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MODERNIZATION OF RUSSIA: TWO DEVELOPMENT PARADIGMS by V. M. Bondarenko

“…The new life arrangement model at every local level is actually the former first development paradigm based on the production/demand direct interrelation realized at a new hi-tech level.…”
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Retrospective Analysis of the Impact of a Collaborative Multidisciplinary Care Model on the Efficiency of Emergency Care and Neurological Function and Prognosis of Comatose Patient... by Yanbin Li, Fang Wang

“…Results The success rate of first aid in the control group and the study group was 91.13% and 94.34%, respectively, which was significantly lower than that of the control group (p < 0.05); the time for intravenous medication and the total time for first aid in the study group were significantly lower than that of the control group (p < 0.001). …”
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A Hybrid Vector Autoregressive Model for Accurate Macroeconomic Forecasting: An Application to the U.S. Economy by Faridoon Khan, Hasnain Iftikhar, Imran Khan, Paulo Canas Rodrigues, Abdulmajeed Atiah Alharbi, Jeza Allohibi

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Assessment of Hull and Propeller Degradation Due to Biofouling Using Tree-Based Models by Nikos Themelis, George Nikolaidis, Vasilios Zagkas

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Complex Synchronization Dynamics of Electronic Oscillators&#x2013;Part I: A Time-Domain Approach via Phase-Amplitude Reduced Models by Konstantinos Metaxas, Paul P. Sotiriadis, Yannis Kominis

“…This work introduces a rigorous time-domain approach for studying the complex synchronization dynamics of periodically forced electronic oscillators, based on the well-developed theories of Phase-Amplitude reduction via the Koopman operator and dynamics of circle maps. …”
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Effective energy consumption parameters in residential buildings using Building Information Modeling by N. Amani, A.A. Reza Soroush

“…Building information modeling can help in predicting the energy efficiency in future based on dynamic patterns obtained by visualization of data. …”
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Uncertainty prediction of wind speed based on improved multi-strategy hybrid models by Xinyi Xu, Shaojuan Ma, Cheng Huang

“…First, NOA was used to optimize the wavelet transform (WT) and BiTCN-BiGRU. …”
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A Storm Frame Optimization Method for Predicting and Warning the Safety Status of a Shearer by Pei Zhang, Yanpeng He, Li Ma, Changkui Cong

“…The prediction accuracy, early warning accuracy, and processing efficiency of the Storm platform are used as evaluation indicators to analyze and evaluate the model, verifying the efficiency and applicability of the proposed model. …”
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Research on the deformation prediction model of surrounding rock based on SSA-VMD-GRU by Xiao Jiming, Guo Hongyan, Guo Huajun, Hu Juyi, Zhang Zhongzhe

“…Aiming at the problems of nonlinearity, high dynamics, and low prediction accuracy of surrounding rock deformation, this article proposes a time series prediction method based on the sparrow search algorithm (SSA)-variational mode decomposition (VMD)-gated recurrent unit (GRU) deep learning model. …”
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Trajectory Planning Method in Time-Variant Wind Considering Heterogeneity of Segment Flight Time Distribution by Man Xu, Jian Wang, Qiuqi Wu

“…This model formulates wind as a discrete variable, forming the foundation of the proposed time-variant predicted method that can calculate the segment flight time accurately. …”
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Examining the Efficiency of Automation in Container Terminals by Yaser Jobran, Gökhan Kara

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A multi-objective fuzzy optimization model for multi-type aircraft flight scheduling problem by Ming Wei, Shangwen Yang, Wei Wu, Bo Sun

“…The proposed model features each flight trip with its own special aircraft type and fuzzy flight time. …”
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Efficiency multi-agent model assisted Moea/D algorithm for optimization design for building taking into account annual energy consumption and annual user discomfort hours by Hua Deng, Kai Zhou

“…In response to the high computational cost, slow convergence speed, and low accuracy of existing optimization design methods for building energy efficiency, this study first built a multi-objective optimization model for building energy efficiency on the ground of the annual energy consumption of buildings and the quantity of uncomfortable hours for users. …”
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Secure and load balanced routing model for wireless sensor networks by Gousia Thahniyath, M. Jayaprasad

“…The result attained shows SLBR model attains better performance than ECSO in terms of energy efficiency (i.e., network lifetime considering first sensor device death and total sensor device death), communication overhead, throughput, packet processing latency, malicious sensor device misclassification rate and identification.…”
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Advancing blood cell detection and classification: performance evaluation of modern deep learning models by Shilpa Choudhary, Sandeep Kumar, Pammi Sri Siddhaarth, Guntu Charitasri, Monali Gulhane, Nitin Rakesh, Feslin Anish Mon, Amal Al-Rasheed, Masresha Getahun, Ben Othman Soufiene

“…In terms of real-time performance, YOLOv10 outperforms other object detection models with better detection rates and classification accuracy. …”
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Adsorptive removal of organics and nutrients from septic tank effluent using oak wood chip biochar: Kinetic analysis and numerical modeling by Chimdi Muoghalu, Herbert Cirrus Kaboggoza, Swaib Semiyaga, Musa Manga

“…Adsorption followed a pseudo-first-order model highlighting the role of physisorption in eliminating NO3-N and COD. …”
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Development of ITER first wall heat load feedback control by Federico Pesamosca, Timo Ravensbergen, Richard A. Pitts, Domenico Frattolillo, Mattia Erroi, Quentin Deliege, Peter C. de Vries, Luca Zabeo, Luigi Pangione, Ivo S. Carvalho, Anna Vu

“…This control-oriented model simulates the thermal response of ITER FW to slow changes in plasma equilibrium and energy, which during ITER operation will be monitored by the real-time wide angle infrared camera system. …”
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Real-time anti-sleep alert algorithm to prevent road accidents to ensure road safety by Abhishek Kumar Pathak, Ankit Kumar Singh, Pankaj Kumar, Vimal Bhatia, Vimal Bhatia, Vimal Bhatia, Ondrej Krejcar, Ondrej Krejcar

“…The proposed method outperforms the traditional approaches such as Support Vector Machines (SVM), K-Nearest Neighbors (KNN), Haar Cascade Classifiers, and other DL architectures like Xception and VGG16, in terms of accuracy and efficiency. Among the tested models, InceptionV3 demonstrated superior performance, achieving an accuracy of 99.18%, a validation loss of 0.85%, and execution time of 0.2 s on Raspberry Pi platform. …”
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A Novel Energy Control Digital Twin System with a Resource-Aware Optimal Forecasting Model Selection Scheme by Jin-Woo Kwon, Anwar Rubab, Won-Tae Kim

“…It employs a two-stage approach: first, it identifies promising models through similarity detection in past time series; second, this initial recommendation is refined by considering the available computing resources to pinpoint the optimal forecasting model. …”
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