Exploration of the Main Models and Optimization Paths for the Market-Oriented Operation of Urban Parks by Yanting LI, Qiaowan YANG

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Novel Nonlinear Control and Optimization Strategies for Hybrid Renewable Energy Conversion System by Z. Jai Andaloussi, A. Raihani, A. El Magri, R. Lajouad, A. El Fadili

“…Comparing to traditional control methods, a new multiobjective control strategy is developed to enhance system performances. …”
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Optimizing statin therapy in HIV-infected patients: a review of pharmacotherapy considerations by Ramin Ansari, Hossein Khalili, Keyhan Mohammadi

“…Dyslipidemia is a risk factor for major adverse cardiovascular events in this population as a whole. Dyslipidemia might result from general risk factors, HIV itself, or the adverse effects of the antiretroviral drug, which have different effects on lipid profile. …”
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Using Adaptive Surrogate Models to Accelerate Multi-Objective Design Optimization of MEMS by Ali Nazari, Armin Aghajani, Phiona Buhr, Byoungyoul Park, Yunli Wang, Cyrus Shafai

“…Results show that adaptive optimization outperforms traditional offline methods by delivering a greater number and higher quality of optimal solutions while requiring fewer finite element method simulations. …”
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Optimal scheduling of BIES with multi-energy flow coupling based on deep RL by XIA Xuhua, YANG Jiandi, SHI Yongtao

“…Building integrated energy systems （BIESs） can enhance energy efficiency ratio （EER） and reduce carbon emissions while meeting diverse user-side load demands. To further improve the energy dispatch capability of BIES， this paper proposes a low-carbon economic and optimal dispatch method for BIES with multi-energy flow coupling based on deep reinforcement learning （deep RL）. …”
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Machine Learning-Driven Prediction of Vitamin D Deficiency Severity with Hybrid Optimization by Usharani Bhimavarapu, Gopi Battineni, Nalini Chintalapudi

“…Incorporating advanced optimization techniques, the proposed method’s promise for generating accurate predictions is highlighted in the study.…”
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Decentralized Multi-Robot Navigation Based on Deep Reinforcement Learning and Trajectory Optimization by Yifei Bi, Jianing Luo, Jiwei Zhu, Junxiu Liu, Wei Li

“…Additionally, it introduces safety constraints through an artificial potential field (APF) to optimize these trajectories. Additionally, a constrained nonlinear optimization method further refines the APF-adjusted paths, resulting in the development of the GNN-RL-APF-Lagrangian algorithm. …”
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Multi-objective layout optimization of hospital outpatient clinics based on NSGA II by Yanlin Zhao, Jiamei Gu

“…The results show that the new plan reduces patient walking distance by 57.2%, shortens waiting time by 59%, and enhances medical staff collaboration efficiency, while only increasing costs by 5.6%. This demonstrates the effectiveness and feasibility of the improved NSGA-II method in handling complex multi-objective optimization problems for outpatient layouts. …”
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MODELING AS A METHOD OF ENTERPRISE'S ACCOUNTING POLICY FORMATION by В. Д. Кубік

“…The article is devoted to the issues of accounting policy modeling of enterprise activities in the field of management. Modeling as a method brings variance into enterprise accounting policy, promoting qualitative analysis of normative legal accounting documents and stimulating the choice of the most optimal model of executive’s order concerning accounting policy. …”
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Coverage Optimization Algorithm Based on Sampling for 3D Underwater Sensor Networks by Du Xiaoyu, Sun Lijuan, Liu Linfeng

“…First, the coverage problem in 3D space is converted into a 2D plane for heterogeneous networks via sampling plane in the target 3D space. Second, the optimization in the 2D plane is converted into an optimization in a line segment by using the line sampling method in the sample plane. …”
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EFFICACY OF OPTIMIZED REMINERALIZING THERAPY IN POST-COVID-19 PATIENTS: EVALUATION OF RESULTS by N.M. Savielieva, M.E. Diasamidze

“…Objective: to evaluate the effectiveness of the optimized method of remineralization by studying the dynamics of dental parameters in patients after 6 and 12 months. …”
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De-speckling of medical ultrasound image using metric-optimized knowledge distillation by Mostafa Khalifa, Hanaa M. Hamza, Khalid M. Hosny

“…This noise varies with image intensity, which limits the effectiveness of traditional denoising methods. We introduce the Metric-Optimized Knowledge Distillation (MK) model, a deep-learning approach that utilizes Knowledge Distillation (KD) for denoising ultrasound images. …”
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Optimization of sludge recirculation for sustainable water treatment at Ait Massoud dam Morocco by Radouane El Amri, Rajaa Zahnoune, Otmane Boudouch, Reda Elkacmi

“…A techno-economic analysis revealed that applying this method on the scale of the plant (6 000 m3/h) would result in daily savings of around 3,715 euros, while reducing the disposal of almost 7,200 m3/day of sludge, thus helping to reduce the environmental footprint. …”
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Complexity synchronization analysis of neurophysiological data: Theory and methods by Ioannis Schizas, Sabrina Sullivan, Scott Kerick, Korosh Mahmoodi, J. Cortney Bradford, David L. Boothe, Piotr J. Franaszczuk, Piotr J. Franaszczuk, Paolo Grigolini, Bruce J. West, Bruce J. West

“…IntroductionWe present a theoretical foundation based on the spontaneous self-organized temporal criticality (SOTC) and multifractal dimensionality μ to model complex neurophysiological and behavioral systems to infer the optimal empirical transfer of information among them. …”
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Localization Algorithm in Wireless Sensor Networks Based on Multiobjective Particle Swarm Optimization by Ziwen Sun, Li Tao, Xinyu Wang, Zhiping Zhou

“…The simulation results show considerable improvements in terms of localization accuracy and convergence rate while keeping a limited archive size by a method using the global optimal selection operator and dynamically maintaining the archive.…”
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Schur Complement Optimized Iterative EKF for Visual–Inertial Odometry in Autonomous Vehicles by Guo Ma, Cong Li, Hui Jing, Bing Kuang, Ming Li, Xiang Wang, Guangyu Jia

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The Shrinking of Beijing and the Rising of Xiong’an: Optimize Population Migration in terms of Transport Service by Hongzhi Lin

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Hybrid Model for 6G Network Traffic Prediction and Wireless Resource Optimization by Mohammed Anis Oukebdane, A. F. M. Shahen Shah, Md Baharul Islam, John Ekoru, Milka Madahana

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Identification of Natural Sloshing Frequency in a Rectangular Tank Under Surge Excitation Using Coupled Eulerian–Lagrangian Method and Impulse Excitation Method by Su-Hyun Park, Young Il Park, Taehyun Yoon, Jeong-Hwan Kim

“…By analyzing the system’s response to an impulse excitation, we extracted the dominant sloshing frequencies while considering the impact of baffles on fluid dynamics. …”
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Enhancing operational efficiency through overall equipment efficiency optimization and Kaizen initiatives. by Abu M Fuad, Nusra Akter Takia, Hasin Ahmad Zafir, Omar Farrok

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