An Iterative Heuristic Optimization Method for the Optimum Sizing of Battery Energy Storage System to Augment the Dispatchability of Wind Generators by Shubham Kashyap, Tirthadip Ghose

“…Validation using Genetic Algorithm (GA) is done by comparing the costs of BESSs, emphasizing the suitability of the proposed technique.…”
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Deep Learning for Spectroscopic X‐ray Nano‐Imaging Denoising by Tianyu Fu, Kai Zhang, Qingxi Yuan, Jizhou Li, Piero Pianetta, Yijin Liu

“…To address this issue, a deep learning‐based algorithm is developed for suppressing the image noise, grounded in self‐supervised learning principles. …”
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Problematic Issues of the Development and Implementation of the Code of Ukraine on Administrative Offenses by O. Yu. Kyrychenko

“…The author has suggested own vision of the structure of the new Code and its content, has emphasized the necessity of determining the legal entity as a subject of administrative liability, as well as the introduction of the algorithm of bringing MPs, deputies of local councils and judges to administrative liability. …”
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Collaborative Knowledge Infusion for Low-Resource Stance Detection by Ming Yan, Tianyi Zhou Joey, W. Tsang Ivor

“…Additionally, we also introduce the parameter-efficient collaborative adaptor with a staged optimization algorithm, which collaboratively addresses the challenges associated with low-resource stance detection tasks from both network structure and learning perspectives. …”
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Downscaling of ERA5 reanalysis land surface temperature based on attention mechanism and Google Earth Engine by Shiyu Li, Hong Wan, Qun Yu, Xinyuan Wang

“…In addition, the Bayesian global optimization algorithm is used to select the optimal hyperparameters of the network in order to enhance the predictive performance of the model. …”
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Interpreting seasonal droughts over the Yangtze River Basin utilizing anomalies of local-scale atmospheric circulation by Hao Yin, Zhiyong Wu, Hai He

“…Using the 3D Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm, we identified 43 seasonal drought events in the YRB from 1971 to 2022. …”
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Research on the Parameter Prediction Model for Fully Mechanized Mining Equipment Selection Based on RF-WOA-XGBoost by Yue Wu, Wenlong Sang, Xiangang Cao, Longlong He

“…Different optimization algorithms are used to optimize the hyperparameters of XGBoost, and the results show that the Whale Optimization Algorithm (WOA) outperforms other algorithms in terms of convergence speed and optimization effectiveness. …”
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Advancing Rice Grain Impurity Segmentation with an Enhanced SegFormer and Multi-Scale Feature Integration by Xiulin Qiu, Hongzhi Yao, Qinghua Liu, Hongrui Liu, Haozhi Zhang, Mengdi Zhao

“…To address the current challenges, a lightweight semantic segmentation algorithm for impurities based on an improved SegFormer network is proposed. …”
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Photovoltaic Generation Integration with Radial Feeders Using GA and GIS by Elias Mandefro Getie, Belachew Bantyirga Gessesse, Tewodros Gera Workneh

“…The optimal allocation of PV has been done using the Genetic Algorithm (GA) for optimization of a multiobjective function with different constraints. …”
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Combination of MLFMA and ACA to Accelerate Computation of Scattering from Underground Targets by Zhiwei Liu, Dan Tang, Zhanyang Zhang, Yueyuan Zhang, Xiaoli Wang, Shunli Jie

“…Multilevel fast multipole algorithm (MLFMA) is used to decrease the computation complexity and memory cost. …”
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Probabilistic Solar Proxy Forecasting With Neural Network Ensembles by Joshua D. Daniell, Piyush M. Mehta

“…Currently, the USAF contracts Space Environment Technologies (SET), which uses a linear algorithm to forecast F10.7cm. In this work, we introduce methods using neural network ensembles with multi‐layer perceptrons (MLPs) and long‐short term memory (LSTMs) to improve on the SET predictions. …”
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Research on Sensitivity Improvement Methods for RTD Fluxgates Based on Feedback-Driven Stochastic Resonance with PSO by Rui Wang, Na Pang, Haibo Guo, Xu Hu, Guo Li, Fei Li

“…Simulink is used to construct the sensor model of odd polynomial feedback control, and the Particle Swarm Optimization (PSO) algorithm is used to optimize the coefficients of the feedback function so that the sensor reaches a resonance state, thus reducing the noise interference and improving the sensitivity of the sensor. …”
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A smart city used low-latency seamless positioning system based on inverse global navigation satellite system technology by Deyue Zou, Shutong Niu, Shuhao Chen, Binhong Su, Xinyi Cheng, Jie Liu, Yunfeng Liu, Yang Li

“…This enables the ordinary commercial global navigation satellite system receiver to obtain indoor positioning capability without modification, and the algorithm can perform accurate positioning indoors and outdoors without switching.…”
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Methodology for risk assessment of multi-event scenarios on radioactive waste repository by Karyoung Choi, Minseok Kim, Kibeom Son, Gyunyoung Heo

“…The methodology and algorithm of simulating multiple earthquakes and assessing risk distribution under those events at repository site is introduced in GoldSim software, and its results are expected to be used at simulating other event scenarios.…”
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Evaluation of Three Satellite Precipitation Products TRMM 3B42, CMORPH, and PERSIANN over a Subtropical Watershed in China by Junzhi Liu, Zheng Duan, Jingchao Jiang, A-Xing Zhu

“…This study conducted a comprehensive evaluation of three satellite precipitation products (TRMM (Tropical Rainfall Measuring Mission) 3B42, CMORPH (the Climate Prediction Center (CPC) Morphing algorithm), and PERSIANN (Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks)) using data from 52 rain gauge stations over the Meichuan watershed, which is a representative watershed of the Poyang Lake Basin in China. …”
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Remaining Useful Life Prediction for Rotating Machinery Based on Optimal Degradation Indicator by Aisong Qin, Qinghua Zhang, Qin Hu, Guoxi Sun, Jun He, Shuiquan Lin

“…First, a genetic programming algorithm is proposed to construct an optimal degradation indicator using the concept of FPT. …”
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Breast mass lesion area detection method based on an improved YOLOv8 model by Yihua Lan, Yingjie Lv, Jiashu Xu, Yingqi Zhang, Yanhong Zhang

“…The YOLOv8-GHOST model incorporates GHOSTConv and C3GHOST modules into the original YOLOv8 model to capture richer feature information while using only 57% of the number of parameters required by the original model. The YOLOv8-P2 algorithm significantly reduces the number of necessary parameters by streamlining the number of channels in the feature map. …”
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Progression of Heart Failure in People with Type 2 Diabetes in Germany: An Analysis Using German Health Insurance Claims Data by Keni Cheng-Siang Lee, Tobias Wagner, Adee Kennedy, Michael Wilke

“…**Objectives:** To (1) measure the proportion of individuals with T2D who acquire HF over 2 years and (2) categorize ejection fraction using routine data and an algorithm, and (3) understand progression of HF in 5-year follow-up. …”
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Assessing chemical exposure risk in breastfeeding infants: An explainable machine learning model for human milk transfer prediction by Xiaojie Huang, Jiajia Chen, Peineng Liu

“…The balanced random forest classifier, optimized using the genetic algorithm for feature selection, achieved an area under the receiver operating characteristic curve (AUC) of 0.8708 and an accuracy of 82.67 % on the internal test set, with an accuracy of 86.36 % on the external validation set. …”
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An Ensemble Based Machine Learning Classification for Automated Glaucoma Detection by Digvijay J. Pawar, Yuvraj K. Kanse, Suhas S. Patil

“…The novel approach of an ensemble machine learning technique has been implemented with an Automated Weightage Based Voting (AWBV) algorithm. This paper has been designed to evaluate the performance of Probabilistic Neural Networks (PNN), K-Nearest Neighbour (KNN), Support Vector Machines (SVM), Naïve Bayes (NB) and Logistic Regression (LR) as individual and ensemble classifiers. …”
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