Low-carbon economic optimization for flexible DC distribution networks based on the hiking optimization algorithm by Ke Wu, Yuefa Guo, Ke Wang, Zhenliang Chen

“…Furthermore, the optimization of IES scheduling is inherently a multi-dimensional nonlinear problem, where traditional intelligent optimization methods struggle to achieve satisfactory solution accuracy. …”
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AC Optimal Power Flow Problem Considering Wind Energy by an Improved Particle Swarm Optimization by Mohammad Reza Ansari, Hossein Ramzaninezhad

“…This paper presents an AC Optimal Power ï¬ow (AC-OPF) problem of a power system, considering wind energy. …”
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Dimensional Synthesis of Parallel Robots Using Bilevel Optimization for Design Optimization and Resolution of Functional Redundancy by Moritz Schappler

“…However, this makes the method computationally demanding. The proposed computationally efficient approach for dimensional synthesis extends multi-objective particle swarm optimization with hierarchical constraints. …”
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Be aware of overfitting by hyperparameter optimization! by Igor V. Tetko, Ruud van Deursen, Guillaume Godin

“…In recent studies on solubility prediction the authors collected seven thermodynamic and kinetic solubility datasets from different data sources. They used state-of-the-art graph-based methods and compared models developed for each dataset using different data cleaning protocols and hyperparameter optimization. …”
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Two-sided Energy Storage Cooperative Scheduling Method for Transmission and Distribution Network Based on Multi-agent Attention-deep Reinforcement Learning by CHEN Shi, ZHU Yujie, LIU Yihong, XU Liuchao, TANG Guodeng

“…Compared to traditional methods, the convergence speed and optimization performance are significantly improved. …”
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Improved grey wolf optimizer for optimal reactive power dispatch with integration of wind and solar energy by F. Laouafi

“…It is a nonlinear multivariable problem of optimization, with multiconstraints. The purpose is to minimize real power losses and improve the voltage profile of a given electric system by adjusting control variables, such as generator voltages, tap ratios of a transformer, switching VAr sources, without violating technical constraints that are presented as equalities and inequalities. …”
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Effects of Deposition Power and Annealing Temperature on Indium Zinc Oxide (IZO) Film’s Properties and Their Applications to the Source–Drain Electrodes of Amorphous Indium Gallium... by Yih-Shing Lee, Chih-Hsiang Chang, Bing-Shin Le, Vo-Truong Thao Nguyen, Tsung-Cheng Tien, Horng-Chih Lin

“…The optical, electrical, and material properties of In–Zn–O (IZO) films were optimized by adjusting the deposition power and annealing temperature. …”
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Optimal design of laminated composite and nanocomposite structures using evolutionary optimization techniques: a survey by Ranganai T. Moyo, Pavel Y. Tabakov

“…A strict selection method was employed to come up with this review paper, and only reputable literary sources were used. …”
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Progress in source-sink matching and safety evaluation of CO2 geological sequestration by LI Shilun,TANG Yong,DUAN Shengcai,QIN Jiazheng,CHEN Yinuo,LIU Yaxin,ZHENG Peng,ZHAO Guoqing

“…At present, China is in the implementation stage of the “dual carbon” goal, and there is still a lack of mature technical system in the economic boundary assessment, source-sink optimization and safety monitoring of geological sequestration of CO2. …”
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Sparse Signal Recovery for Direction-of-Arrival Estimation Based on Source Signal Subspace by Bo Lin, Jiying Liu, Meihua Xie, Jubo Zhu

“…After establishing the sparse representation of the source signal subspace, we propose a new method to estimate the direction of arrival (DOA) by solving an ℓ1-norm minimization for sparse signal recovery of the source powers. …”
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Complex linear Diophantine fuzzy Dombi prioritized operators-based MULTIMOORA approach with applications to sustainable energy planning by Abdul Wahab Mustafa, Zia Bashir, Jawad Ali, Muhammed I. Syam

“…Abstract Sustainable energy planning is a critical challenge, particularly in regions with complex decision-making environments and uncertain data. The selection of an optimal energy source requires robust methodologies that can effectively handle multi-criteria decision-making (MCDM) under uncertainty. …”
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Diagnosis of array antennas based on near-field data using Faster R-CNN by Boguang Yang, Yulun Wei, Jixiang Shi, Tao Hong, Liangyu Li, Kai-Da Xu

“…In this paper, a source reconstruction method for detecting failures in array antenna elements using near-field data based on Faster region-convolutional neural network (Faster R-CNN) is introduced. …”
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Adaptive Source Location Estimation Based on Compressed Sensing in Wireless Sensor Networks by Lei Liu, Jin-Song Chong, Xiao-Qing Wang, Wen Hong

“…In this paper, an effective method based on compressed sensing (CS) is proposed for multiple source locations in received signal strength-wireless sensor networks (RSS-WSNs). …”
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Hardware Trojan Detection in Open-Source Hardware Designs Using Machine Learning by Victor Takashi Hayashi, Wilson Vicente Ruggiero

“…Although open-source hardware promotes transparency, it does not guarantee security. …”
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Photovoltaic Hosting Capacity Assessment of Distribution Networks Considering Source–Load Uncertainty by Chao Chen, Weifeng Peng, Cheng Xie, Shufeng Dong, Yibo Hua

“…To enhance the practical applicability and accuracy of hosting capacity evaluations, this paper proposes a PV hosting capacity assessment model that incorporates source–load uncertainty and constructs an alternative scenario optimization evaluation framework driven by target-oriented scenario generation. …”
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Resilience Enhancement for Distribution Networks Under Typhoon-Induced Multi-Source Uncertainties by Naixuan Zhu, Guilian Wu, Hao Chen, Nuoling Sun

“…The results indicate that the proposed method can reduce the load loss cost of the system by 5.112 million and 0.2459 million, respectively.…”
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An Intelligent Regional Integrated Energy Dispatching Approach Considering Source-Load Uncertainty by Tianmeng Yuan, Yong Mu, Weibo Yin

“…To address the problem of insufficient consideration of source load uncertainty in traditional scheduling models, a two-layer optimization model is proposed that combines non-parametric density estimation and copula theory to improve the traditional source load uncertainty modeling method. …”
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Advancements in osteoblast sourcing, isolation, and characterization for dental tissue regeneration: a review by Venkata Suresh Venkataiah, Deepak Mehta, Mohammad Fareed, Mohmed Isaqali Karobari

“…Conclusion This review highlights the importance of selecting appropriate osteoblast sources and methods for dental research to optimize outcomes in periodontal and implant-related therapies. …”
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Results of specialized outpatient follow-up of patients with embolic stroke of undetermined source by P. I. Merkureva, J. D. Bogatenkova, I. A. Voznyuk, V. A. Sorokoumov, E. A. Popov

“…We presented comparative results on the structure of incidence rate, age differences, comorbid pathology, as well as on the frequency of repeated cardiovascular events in groups with cardioembolic stroke and embolic stroke of undetermined source.Conclusions. Patients with ESUS are an extremely difficult category of patients for diagnostic search, for whom the actual task is to develop an examination algorithm for the earliest possible detection of the cause of stroke and to determine the optimal methods of secondary prevention.…”
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Project of using low-potential energy sources at the Bratsk hydro power plant by V. D. Yurovskaya, S. V. Latushkina

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