Climate adaptive energy efficiency modeling using a generalized additive approach to optimize building performance across Chinese climate zones by Jian Yang, Mu He, Xingzhu Zhang, Qimeng Ning, Yu Chen, Maryam Alsadat Ziaei Mazinan

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Optimal dispatching strategy of community integrated energy system considering generalized electric heating demand response and stepped carbon trading mechanism by TIAN Yukun, CHEN Yanqi, LIU Yifan, XU Gang, CHEN Heng, WANG Xiuyan

“…In the context of dual carbon, in order to realize the low-carbon economic operation of the integrated energy system, an optimal dispatching model of integrated energy system considering generalized electric heating demand response and stepped carbon trading mechanism is proposed. …”
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CART-ANOVA-Based Transfer Learning Approach for Seven Distinct Tumor Classification Schemes with Generalization Capability by Shiraz Afzal, Muhammad Rauf, Shahzad Ashraf, Shahrin Bin Md Ayob, Zeeshan Ahmad Arfeen

“…However, key challenges include optimizing hyperparameter selection and enhancing the generalization capabilities of models. …”
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A new optimal control approach to uncertain Euler-Lagrange equations: $ H_\infty $ disturbance estimator and generalized $ H_2 $ tracking controller by Taewan Kim, Jung Hoon Kim

“…Finally, the effectiveness of both the $ H_\infty $ optimal disturbance estimator and the generalized $ H_2 $ tracking controller were demonstrated through some comparative simulation and experiment results of a robot manipulator, which was one of the most representative examples of Euler-Lagrange equations.…”
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Model updating method for detect and localize structural damage using generalized flexibility matrix and improved grey wolf optimizer algorithm (I-GWO) by Sina Sadraei, Majid Gholhaki, Omid Rezaifar

“…This is achieved by applying various noises and extracting the damaged structure’s data using the Improved Grey Wolf Optimizer (I-GWO). The accuracy of this method in locating the 15-story shear frame, the 25-member two-dimensional truss bridge, and the 23-member two-dimensional frame, as well as in identifying all damages, is demonstrated by the fact that the error between the simulated and estimated results in an average of twenty runs and each damage scenario was less than 3 percent. …”
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Optimization and Analysis of Central bank Losses for Oil Exporting Economy, Application of DSGE Model (Case study of Iranian Economy) by Marzieh Asadi Asad Abad, Seyyed Abbas Najafizadeh, Baytollh Akbari Moghaddam

“…By adopting the optimal discretionary and Ramsey monetary policy approaches, relying on the importance of the weight of inflation, the results show that the understudy variables (non-oil real GDP, GDP, consumption, and inflation) would experience higher volatility in the case of adopting the discretionary policy. …”
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Research on water quality prediction of Jiangshan Port based on SCV-CBA model by Yiting Xu, Zhaoju Liu

“…This study addressed these challenges by proposing SSA-optimized CEEMDAN-VMD-CNN-BiLSTM-Attention (SCV-CBA) hybrid model to enhance prediction accuracy. …”
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Generalized oligomeric system by V. M. Komarov, A. V. Rim, B. V. Piaterikov

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Optimal control for infinite-dimensional linear systems with Markovian jumps in Borel spaces by Viorica Mariela Ungureanu, Iulia Iarina Ungureanu

“…A second objective is to establish a framework that extends known results concerning the existence of certain global solutions (such as minimal, maximal, and stabilizing solutions) for a more general class of Riccati equations associated with the optimal control problem. …”
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Research on Fine-Tuning Optimization Strategies for Large Language Models in Tabular Data Processing by Xiaoyong Zhao, Xingxin Leng, Lei Wang, Ningning Wang

“…This study investigates the optimization of fine-tuning strategies for LLMs specifically in the context of tabular data processing. …”
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A One Step Optimal Homotopy Analysis Method for Propagation of Harmonic Waves in Nonlinear Generalized Magnetothermoelasticity with Two Relaxation Times under Influence of Rotation by S. M. Abo-Dahab, Mohamed S. Mohamed, T. A. Nofal

“…The HAM contains a certain auxiliary parameter which provides us with a simple way to adjust and control the convergence region and rate of convergence of the series solution. This optimal approach has a general meaning and can be used to get fast convergent series solutions of the different type of nonlinear fractional differential equation. …”
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OPTIMIZING THE DIAGNOSIS, A MONITORING AND TREATMENT SYSTEM FOR PSORIATIC ARTHRITIS IN REAL PRACTICE: GENERAL PRINCIPLES FOR ORGANIZING AN ALL-RUSSIAN REGISTER OF PATIENTS WITH PSO... by T. V. Korotaeva, Yu. L. Korsakova, E. Yu. Loginova, E. E. Gubar, A. D. Koltakova, E. E. Medved, S. S. Kudishina, A. V. Petrov, M. V. Sedunova, I. N. Pristavsky, E. A. Vasilenko, I. N. Bondareva, I. F. Umnova, P. A. Shesternya, E. L. Nasonov

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Improved quadratic interpolation optimizer for stochastic short-term hydrothermal scheduling with integration of solar PV and wind power by Noor Habib Khan, Yong Wang, Raheela Jamal, Mohamed Ebeed, Salah Kamel, Guma Ali, Francisco Jurado, Abdel-Raheem Youssef

“…Abstract The quadratic interpolation optimization (QIO) introduces a novel approach inspired by the generalized quadratic interpolation (GQI) with dual mechanisms. …”
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Modeling Fatigue Data of Complex Metallic Alloys Using a Generalized Student’s <i>t</i>-Birnbaum–Saunders Family of Lifetime Models: A Comparative Study with Applications by Farouq Mohammad A. Alam, Fouad Khalawi, Abdulkader Monier Daghistani

“…Additionally, the robustness of estimation methods is examined through Monte Carlo simulations across various sample sizes and parameter configurations. The results highlight the effectiveness of the generalized Student’s <i>t</i>-Birnbaum–Saunders distribution in capturing the stochastic nature of fatigue failure in metallic alloys, offering valuable insights for materials design and predictive reliability modeling. …”
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Estimation of elbow flexion torque using equilibrium optimizer on feature selection of NMES MMG signals and hyperparameter tuning of random forest regression by Raphael Uwamahoro, Raphael Uwamahoro, Kenneth Sundaraj, Farah Shahnaz Feroz

“…Given the significance of both feature engineering and hyperparameter tuning in optimizing RFR performance, this study proposes a hybrid method leveraging the General Learning Equilibrium Optimizer (GLEO) to identify most informative MMG features and tune RFR hyperparameters. …”
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Optimization of shool education institutions network in Ukraine in conditions of administrative-territorial reform: reasons, regional differences, ways of implementation by Mуkola Baranovskiy, Olga Baranovska

“…The results of the research define that: a) further development of the territorial reform will definitely aggravate the problem of the functioning of general educational institutions; b) the closure of school institutions cannot be regarded as the main result of education reforms; c) optimization of the school institutions network in territorial communities is an important and necessary step in building an effective system of providing quality educational services.…”
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Economic Justification of tax Planning by M. A. Polyakova, A. V. Nosov

“…To achieve it, the following tasks and objectives were set: to study and generalize the views of Russian scientists in modern economic conditions; to develop approaches to improving the mechanism of tax optimization in order to perform the functions assigned to it, and above all, to influence the financial conditions of an economic entity through the possibility of tax optimization provided by legislation. …”
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Piecewise SOS-convex moment optimization and applications via exact semi-definite programs by Q.Y. Huang, V. Jeyakumar, G. Li

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Knowledge graph-based intelligent control systems for real-time machine tool optimization by Hailong YANG, Jun YAO, Baorui DU

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Optimal AC Power Flow with Energy Storage and Renewable Energy: An Efficient RL Algorithm Capable of Handling Equality Constraints by Mingde Liu, Jianquan Zhu, Mingbo Liu

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