New Mellin-Based Estimation and GoF Criteria for the Beta-Weibull Model by J.M. Vasconcelos, R. J. Cintra, A. D. C. Nascimento

“…In general, although their asymptotic properties are well-defined, MLEs do not always assume closed-form and require the use of interactive optimization sources. In this paper, we propose a new estimation method based on log-cumulant (LC) expressions for the beta-Weibull (BW) distribution, an important beta-G model. …”
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Incentive Determination for Demand Response Considering Internal Rate of Return by Gyuhyeon Bae, Ahyun Yoon, Sungsoo Kim

“…Based on actual load data, incentives are determined using an iterative mixed-integer programming (MIP) optimization method that progressively adjusts the incentive level to address the overall nonlinearity arising from both the multiplication of variables and the nonlinear characteristics of the internal rate of return (IRR), ensuring that the target IRR is achieved. …”
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The role of green finance in reshaping end-use energy consumption: insights from regional evidence in China by Mingzheng Deng, Xiangyi Lu, Ruibin Tong, Yan Xue, Shuaihang Shi, Rui Guo

“…Despite growing interest in this area, the relationship between green finance and the optimization of end-use energy consumption remains underexplored, particularly in the context of regional disparities.MethodsThis study investigates the impact of green finance on end-use energy consumption structure across 30 provinces in China from 2014 to 2021. …”
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Polymeric membranes grafted by ionizing radiation for uranium adsorption by Amanda Caroline Patricio Cardoso, Rafael Henrique Lazzari Garcia, Elita Fontenele Urano de Carvalho, Mohamad Al-Sheikhly, Yasko Kodama

“…Considering the rise on nuclear power energy generation, and that there is global lack of terrestrial uranium sources, the increasing demand for this element has been leading to uranium exploit alternatives. …”
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大型可展开网状天线反枕效应研究进展 by 贺乃馨, 宋燕平, 李团结, 张大羽, 黄鹏飞, 李怡晨, 曾家琛

“…It is too expensive to supplement air source and the self-curing technology is not mature, so it is difficult to achieve the effect of uniform curing in orbit and has not been applied in practice;The realization of uniform load is not ideal. …”
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Harmonizing remote sensing and ground data for forest aboveground biomass estimation by Ying Su, Zhifeng Wu, Xiaoman Zheng, Yue Qiu, Zhuo Ma, Yin Ren, Yanfeng Bai

“…However, the complexity of forest ecosystems and the diversity of geography bring great challenges to traditional biomass estimation methods. This study aims to develop an optimized AGB estimation framework that integrates heterogeneous data sources (i.e., ground survey data, National Forest Continuous Inventory (NFCI) data, and both active and passive remote sensing data) to enhance estimation accuracy and address the needs of future satellite missions and forest monitoring efforts. …”
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Hosting capacity in smart distribution systems using OpenDSS tool and Monte Carlo-based methodology by Masic Fatima, Saric Mirza, Hivziefendic Jasna, Dzemic Zijad

“…A considerable increase of the circuit losses is recorded if the optimal penetration of PV is exceeded. The main contribution of this work is the development, testing and implementation of the HC estimation method in complex power systems using open-source tools and integrating them in an innovative fashion. …”
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Coupling regulation of water and fertilizer in cold farmland of Harbin, Heilongjiang, China, based on resource-benefit-environment synergy by Yingshan Chen, Yaowen Xu, Aizheng Yang, Qiang Fu, Dong Liu, Mo Li

“…This study combines field experiments, process simulation, and optimization modeling to develop a sustainable method for regulating water and fertilizers in cold farmland. …”
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DVAEGMM: Dual Variational Autoencoder With Gaussian Mixture Model for Anomaly Detection on Attributed Networks by Wasim Khan, Mohammad Haroon, Ahmad Neyaz Khan, Mohammad Kamrul Hasan, Asif Khan, Umi Asma Mokhtar, Shayla Islam

“…Most current approaches focus on shallow learning methods such as community analysis, ego network or selection of subspace method. …”
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Exploring the relationship between audio–visual perception in Fuzhou universities and college students' attention restoration quality using machine learning by Shaofeng Chen, Zhengyan Chen, Jiawen Hong, Xiaowen Zhuang, Chenxi Su, Zheng Ding

“…It further explores campus landscape optimization pathways driven by multi-source data, providing scientific basis for sustainable campus planning.MethodsTaking Fuzhou University Town as a case study, this study integrates machine learning technology with multi-source data (street view images, social media text, and PRS-11 questionnaires) to construct a “multi-modal perception mechanism analysis-dynamic evaluation iteration” framework. …”
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Enhancing grid frequency regulation in low inertia modern multi‐area power systems using cascaded non‐integer control approaches with BESS‐based virtual inertia by Tushar Kanti Roy, Amanullah Maung Than Oo

“…Abstract In modern power systems, the integration of inverter‐based renewable energy sources has significantly reduced system inertia, leading to heightened frequency fluctuations and potential instability within multi‐area interconnected microgrids. …”
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Uncertainty Measure for Multisource Intuitionistic Fuzzy Information System by Hong Wang, Hong Li

“…Firstly, the paper proposes an optimal source selection method. Secondly, we study the weighted generalized, weighted optimistic, and weighted pessimistic multigranularity intuitionistic fuzzy rough set models and uncertainty measurement methods in the multisource intuitionistic fuzzy information system, and we further study the relationship between the three models and related properties. …”
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VIOS-Net: A Multi-Task Fusion System for Maritime Surveillance Through Visible and Infrared Imaging by Junquan Zhan, Jiawen Li, Langtao Wu, Jiahua Sun, Hui Yin

“…Automatic ship monitoring models leveraging image recognition have become integral to regulatory applications within maritime management, with multi-source image co-monitoring serving as the primary method for achieving comprehensive, round-the-clock surveillance. …”
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Power management in isolated microgrids using machine learning-based robust model predictive control by Chou-Yi Hsu, Amit Ved, Hannah Jessie Rani R, Zayd Ajsan Balsem, Nora Rashid Najem, Abhayveer Singh, P․Sasi Kiran, Ankita Aggarwal, Satish Kumar Samal, Alireza Kamranfar

“…The simulation results of the proposed method have been compared with type-1 fuzzy MPC and conventional droop controller, demonstrating that the proposed controller has better and faster performance than other methods.…”
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Characterization of Red Dragon Fruit Wine Fermented with a Newly Identified Yeast Strain Saccharomyces cerevisiae M7 by Tran Thanh Quynh Anh, Nguyen Tien An, Do Thi Bich Thuy

“…The most potent candidate was identified by the DNA sequencing method and subjected to an optimization study using a one-factor-at-a-time approach to optimize the conditions for red dragon fruit wine fermentation. …”
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Leveraging global genetics resources to enhance polygenic prediction across ancestrally diverse populations by Oliver Pain

“…Linear combinations of independently optimized scores consistently outperformed current jointly optimized multi-source methods, while being substantially more computationally efficient. …”
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Characterization of strike-slip fault zones by gradient-driven signed pressure force model in the Northeast Sichuan Basin by Siyao Li, Siyao Li, Xuri Huang, Xuri Huang, Shuhang Tang, Shuhang Tang, Guanghui Wu, Liang Feng, Mengcheng Li, Mengcheng Li

“…To address these challenges, this paper proposes a novel fault characterization approach using the Gradient-Driven Signed Pressure Force (G-SPF) Active Contour Model (ACM), an image-processing-based boundary identification technique. The method begins by selecting tensor and symmetry as the primary optimization attributes. …”
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Wind speed forecasting approach using conformal prediction and feature importance selection by Cesar Vinicius Zuege, Stefano Frizzo Stefenon, Cristina Keiko Yamaguchi, Viviana Cocco Mariani, Gabriel Villarrubia Gonzalez, Leandro dos Santos Coelho

“…This paper evaluates short-term forecasting of time series with a measure of uncertainty associated with wind speeds. The proposed method considers the conformal prediction approach and, based on Shapley values, uses optimal selection of features given their importance. …”
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Strategies for Soil Salinity Mapping Using Remote Sensing and Machine Learning in the Yellow River Delta by Junyong Zhang, Xianghe Ge, Xuehui Hou, Lijing Han, Zhuoran Zhang, Wenjie Feng, Zihan Zhou, Xiubin Luo

“…In response to the global ecological and agricultural challenges posed by coastal saline-alkali areas, this study focuses on Dongying City as a representative region, aiming to develop a high-precision soil salinity prediction mapping method that integrates multi-source remote sensing data with machine learning techniques. …”
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Boosting the efficiency of narrowband THz radiators via three-dimensional emission collection by Tinglian Zhang, Rasmus Ischebeck, Uwe Niedermayer, Thomas Schietinger, Pavle Juranić

“…The demand for high-power, narrowband, and tunable THz radiation sources is steadily increasing. Smith-Purcell radiation offers a compact method for resonantly generating narrowband THz sources with notable advantages over other approaches, though the power output still requires improvement. …”
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