Assessing wetland ecological quality and protection effectiveness in the Qilihai Wetland using long-term multi-source remote sensing data by Cong Shen, Yaqin Fang, Shaoyi Wang, Zixiao Liu, Xiaobin Cai, Liqiao Tian

“…Furthermore, a dual-temporal land cover classification method was developed using GF and ZY3 satellite imagery from 2016 to 2023, enabling a detailed examination of land cover dynamics under conservation efforts. …”
Get full text

An Interpretable Model for Salinity Inversion Assessment of the South Bank of the Yellow River Based on Optuna Hyperparameter Optimization and XGBoost by Xia Liu, Yu Hu, Xiang Li, Ruiqi Du, Youzhen Xiang, Fucang Zhang

“…The soil salinity was estimated with the multi-source remote sensing satellite data by combining the extreme gradient boosting model (XGBoost), Optuna hyper-parameter optimization, and Shapley addition (SHAP) interpretable model. …”
Get full text

The quick crisscross sine cosine algorithm for optimal FACTS placement in uncertain wind integrated scenario based power systems by Sunilkumar P. Agrawal, Pradeep Jangir, Laith Abualigah, Sundaram B. Pandya, Anil Parmar, Absalom E. Ezugwu, Arpita, Aseel Smerat

“…Traditional optimization methods, such as linear programming, often struggle with the non-linear, multi-dimensional nature of modern power grids, leading to inefficiencies. …”
Get full text

Using Coil-Wire Method to Improve Heat Transfer Characteristics in Pipe Flow: A Mini Review Study by Sarmad A. Ali Sciences

“…An improved technique in the field of heat transfer serves as a research task and is classified as an active, passive, and large-scale composite technique. Active methods need an external power source for the input process and do not need an additional power source or power to improve heat transfer. …”
Get full text

THE METHOD FOR Cu AND Zn ISOTOPE RATIO DETERMINATION BY MC ICP-MS USING THE AG MP-1 RESIN by T. G. Okuneva, S. V. Karpova, M. V. Streletskaya, N. G. Soloshenko, D. V. Kiseleva

“…The method is characterized by high throughput and adequate analytical figures of merit when using the standard-sample bracketing technique for mass bias correction. …”
Get full text

Development of a Residual Biomass Supply Chain Simulation Model Using AnyLogistix: A Methodical Approach by Bernardine Chidozie, Ana Ramos, José Vasconcelos, Luis Pinto Ferreira

“…<i>Background:</i> In the pursuit of sustainable energy sources, residual biomass has emerged as a promising renewable resource. …”
Get full text

Optimising Sensor Placement in Heritage Buildings: A Comparison of Model-Based and Data-Driven Approaches by Estefanía Chaves, Alberto Barontini, Nuno Mendes, Víctor Compán

“…The long-term preservation of heritage structures relies on effective Structural Health Monitoring (SHM) systems, where sensor placement is key to ensuring early damage detection and guiding conservation efforts. Optimal Sensor Placement (OSP) methods offer a systematic framework to identify efficient sensor configurations, yet their application in historical buildings remains limited. …”
Get full text

Enhancing renewable energy integration through strategic stochastic optimization planning of distributed energy resources (Wind/PV/SBESS/MBESS) in distribution systems by Ahmad K. ALAhmad, Renuga Verayiah, Hussain Shareef, Agileswari Ramasamy, Saleh Ba-swaimi

“…Monte Carlo Simulation (MCS) models uncertainties in wind speed, solar irradiation, load power, and energy prices, while the backward reduction method (BRM) mitigates computational complexities. …”
Get full text

AdvFaceGAN: a face dual-identity impersonation attack method based on generative adversarial networks by Hong Huang, Yang Yang, Yunfei Wang

“…Innovatively, we incorporate source identity loss into the identity loss calculation, discovering that minor reductions in target identity similarity can be traded for significant improvements in source identity similarity, thus making the adversarial faces generated by our method highly similar to both the source identity and the target identity, addressing limitations in existing impersonation attack methods. …”
Get full text

Pit Collapse Risk Fusion Early-Warning Method Based on Machine Learning and Improved Cloud Dempster–Shafer by Jiajia Zeng, Bo Wu, Cong Liu

“…A high-accuracy metro pit collapse risk fusion early-warning method is proposed in present study. The main contributions include (1) presenting a new input to the fusion model by optimizing the machine learning model through a multi-step rolling method, and then using the basic probability assignment values obtained from the cloud model as input to the fusion model and (2) developing an improved methodology to address the paradoxical results of the fusion of traditional Dempster–Shafer evidence theory when there is a high level of conflict in multi-source risk prediction data. …”
Get full text

Wind Power Short-Term Prediction Method Based on Time-Domain Dual-Channel Adaptive Learning Model by Haotian Guo, Keng-Weng Lao, Junkun Hao, Xiaorui Hu

“…Validation on two wind farm datasets (A/B) demonstrates that the proposed method reduces RMSE by at least 8.89% compared to the best deep learning baseline, exhibits low sensitivity to time window sizes, and establishes a novel paradigm for forecasting highly volatile renewable energy power.…”
Get full text

A Method for Fault Localization in Distribution Networks with High Proportions of Distributed Generation Based on Graph Convolutional Networks by Xiping Ma, Wenxi Zhen, Haodong Ren, Guangru Zhang, Kai Zhang, Haiying Dong

“…To address the issues arising from the integration of a high proportion of distributed generation (DG) into the distribution network, which has led to the transition from traditional single-source to multi-source distribution systems, resulting in increased complexity of the distribution network topology and difficulties in fault localization, this paper proposes a fault localization method based on graph convolutional networks (GCNs) for distribution networks with a high proportion of distributed generation. …”
Get full text

A Deep Learning Inversion Method for 3D Temperature Structures in the South China Sea with Physical Constraints by Dongcan Xu, Yahao Liu, Yuan Kong

Get full text

The Comparison of Free Cell and Immobilization Cell Fermentation on Bioethanol Production from Sorghum Stem by SSF and SHF Method by Ayu Ratna Permanasari, Arum Syamfitri, Devina Maharani, Sinta Setyaningrum, Wahyu Wibisono

“…This study aimed to determine the effect of fermentation using free cell and cell immobilization techniques on various pH, as well as to identify the most optimal fermentation method (SHF or SSF) for producing the highest ethanol content in sorghum stem fermentation.  …”
Get full text

Development of an LC-MS Method for the Analysis of Birch (<i>Betula</i> sp.) Bark Bioactives Extracted with Biosolvents by Inmaculada Luque-Jurado, Jesús E. Quintanilla-López, Rosa Lebrón-Aguilar, Ana Cristina Soria, María Luz Sanz

“…High precision (RSD < 3.3%), sensitivity (LOD: 23 ng mL⁻¹ and 29 ng mL⁻¹ for Bet and BAc, respectively), and accuracy (95–102% recovery) were found for this optimized method, using an acidulated water–methanol mixture as the mobile phase and sodium acetate as an additive. …”
Get full text

A Fusion Method Based on Physical Modes and Satellite Remote Sensing for 3D Ocean State Reconstruction by Yingxiang Hong, Xuan Wang, Bin Wang, Wei Li, Guijun Han

“…This study developed an operational-oriented lightweight framework for three-dimensional ocean state reconstruction by integrating multi-source observations through a computationally efficient multivariate empirical orthogonal function (MEOF) method. …”
Get full text

Direct Transport Calculation of Three-dimensional C5G7 Benchmark Based on the Random Ray Method by SONG Peitao1, 2, 3, , QIN Shuai4, ZHANG Qian4

“…Future efforts should focus on coupling TRRM with coarse-mesh finite difference (CMFD) method during active batches to provide a stabilized fission source distributions and enhance convergence rates for localized quantities such as pin power. …”

A simplified 3D finite difference method for electromagnetic logging while drilling simulation in symmetrical models by Fengbo Li, Fengbo Li, Fengbo Li, Zhenguan Wu, Weining Ni, Weining Ni, Weining Ni, Xin Li, Xin Li, Xin Li, Xiaoqiao Liao, Hong Xiao, Yunxin Zeng

“…In this paper, we present a simplified 3D finite-difference frequency domain method for symmetric geological models. In such models, the electromagnetic field generated by a magnetic dipole source exhibits symmetry in all directions. …”
Get full text

A Machine Learning-Based Method for Lithology Identification of Outcrops Using TLS-Derived Spectral and Geometric Features by Yanlin Shao, Peijin Li, Ran Jing, Yaxiong Shao, Lang Liu, Kunpeng Zhao, Binqing Gan, Xiaolei Duan, Longfan Li

“…To address the limitations of traditional field surveys, such as low efficiency and high risk, we proposed an intelligent lithology recognition method, SG-RFGeo, for terrestrial laser scanning (TLS) outcrop point clouds, which integrates spectral and geometric features. …”
Get full text

Optimized hybrid osprey with PSO control for improved VSC-HVDC-wind power integration by Abdulaziz Alkuhayli, Hany M. Hasanien

“…The study underscores the importance of advanced optimization methods to guarantee offshore wind energy systems' efficient and dependable functioning.…”
Get full text