An Improved SLAM Algorithm for Substation Inspection Robots Based on 3D Lidar and Visual Information Fusion by Yicen Liu, Songhai Fan

“…Current substation inspection robots mainly use Lidar as a sensor for localization and map building. …”
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A multiobjective evolutionary algorithm incorporating neighborhood detection for the vehicle routing problem with soft time windows by Hao Jiang, Zhiwei Zhang, Chao Wang, Xiaoshu Xiang

“…Abstract The Vehicle Routing Problems with Soft Time Windows (VRPSTWs) presents a common challenge in practical scenarios, which has spurred the development of various algorithmic solutions. Among these solutions, hybrid approaches that integrate evolutionary algorithms and neighborhood search techniques have shown great promise. …”
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Multi-Station Agricultural Machinery Scheduling Based on Spatiotemporal Clustering and Learnable Multi-Objective Evolutionary Algorithm by Liruizhi Jia, Qinshuo Zhang, Shengquan Liu, Bo Kong, Yuan Liu

“…The multi-station agricultural machinery scheduling process mainly involves two key stages: order allocation and path planning. …”
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A Deep Learning Algorithm of Neural Network for the Parameterization of Typhoon‐Ocean Feedback in Typhoon Forecast Models by Guo‐Qing Jiang, Jing Xu, Jun Wei

“…Abstract Two algorithms based on machine learning neural networks are proposed—the shallow learning (S‐L) and deep learning (D‐L) algorithms—that can potentially be used in atmosphere‐only typhoon forecast models to provide flow‐dependent typhoon‐induced sea surface temperature cooling (SSTC) for improving typhoon predictions. …”
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Canola Yield Estimation Using Remotely Sensed Images and M5P Model Tree Algorithm by Ileana De los Ángeles Fallas Calderón, Muditha K. Heenkenda, Tarlok S. Sahota, Laura Segura Serrano

“…Canola yield was estimated using selected vegetation indices derived from images, the percent cover of flowers, and the M5P Model Tree algorithm. Field samples were used to calibrate and validate prediction models. …”
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Detection of hypertension from pharyngeal images using deep learning algorithm in primary care settings in Japan by Takeo Nakayama, Yusuke Tsugawa, Hiroshi Yoshihara, Memori Fukuda, Sho Okiyama

“…Importance heatmaps revealed that the algorithm focused on the posterior pharyngeal wall area, where blood vessels are mainly located.Conclusions The results indicate that a deep learning-based algorithm can detect hypertension with high accuracy using pharyngeal images.…”
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Single-Source and Multi-Source Cross-Subject Transfer Based on Domain Adaptation Algorithms for EEG Classification by Rito Clifford Maswanganyi, Chunling Tu, Pius Adewale Owolawi, Shengzhi Du

“…In this paper, domain adaptation algorithms, including two machine learning (ML) algorithms, are contrasted based on the single-source-to-single-target (STS) and multi-source-to-single-target (MTS) transfer paradigms, mainly to mitigate the challenge of immense inter-subject variations in EEG neural dynamics that lead to poor classification performance. …”
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Monitoring shrub disturbance in the Qinghai–Tibet Plateau from 1990 to 2022 using the LandTrendr algorithm by Chunchun An, YuanYuan Hao, Xuexia Liu, Zhe Meng, Yixuan Wang, Shengshen He, Caicheng Huang

“…Shrub disturbance on the Tibetan Plateau is mainly concentrated in areas with an altitude of 2000–4000 m, a slope gradient of 15°−40°, and a shady slope aspect. …”
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Inversion of Aerosol Chemical Composition in the Beijing–Tianjin–Hebei Region Using a Machine Learning Algorithm by Baojiang Li, Gang Cheng, Chunlin Shang, Ruirui Si, Zhenping Shao, Pu Zhang, Wenyu Zhang, Lingbin Kong

“…The areas with higher concentrations are mainly situated in the southwest of Beijing, and the annual average concentrations of the four components in Beijing’s southwest are 28 μg·m⁻³, 7 μg·m⁻³, 8 μg·m⁻³, and 15 μg·m⁻³ for organics, sulfates, ammonium, and nitrates, respectively. …”
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Transportation and production collaborative scheduling optimization with multi-layer coding genetic algorithm for non-pipelined wells by Qiushi Li, Yuze Li, Haitong Sun, Wei Song, Honghong Li, Xiaoyong Gao, Chaodong Tan, Yaoyun Liu, Hongbing Liu

“…In this paper, a genetic algorithm based on multi-layer coding is proposed. …”
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Study on the mechanical properties of stratified rock mass based on 3D printing technology and FDEM algorithm by Yongchao Tian, Kaifang Ren, Fan He, Yong Liu, Penghai Deng, Jiaqi Guo, Feiyue Sun, Xin Huang, Jun Zhang

“…The weak regions in engineering mainly include bedding plane and crack network, whose mechanical properties have a significant impact on the stability of geotechnical engineering. …”
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A comprehensive review of rice mapping from satellite data: Algorithms, product characteristics and consistency assessment by Husheng Fang, Shunlin Liang, Yongzhe Chen, Han Ma, Wenyuan Li, Tao He, Feng Tian, Fengjiao Zhang

“…Remote sensing has become an essential tool for mapping rice cultivation due to its ability to cover large areas and provide timely observation. Existing reviews mainly focus on the paddy rice mapping methods. However, it lacks a comprehensive understanding on the quality of different paddy rice maps from regional to global scales. …”
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Characterization of PET image using global and local entropy by Igor Fagner Vieira

“…The main application of this approach will be for, among other things, to construct pathological phantoms from PET images for dosimetry applications.…”
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Significance of EEG-electrode combinations while calculating filters with common spatial patterns by Wetzel, Dominik, Jacobs, Paul-Philipp, Winkler, Dirk, Grunert, Ronny

“…In addition to the combinations calculated using the developed algorithm, 26 additional electrode combinations are proposed. …”
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Content Analysis of Judges’ Sentiments Toward Artificial Intelligence Risk Assessment Tools by A. Fine, S. Le, M. K. Miller

“…Results suggest that judges experience algorithm aversion, have significant concerns about bias being exacerbated by AI, and worry about being replaced by computers. …”
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Application of SHAP and Multi-Agent Approach for Short-Term Forecast of Power Consumption of Gas Industry Enterprises by Alina I. Stepanova, Alexandra I. Khalyasmaa, Pavel V. Matrenin, Stanislav A. Eroshenko

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ReliefSeq: a gene-wise adaptive-K nearest-neighbor feature selection tool for finding gene-gene interactions and main effects in mRNA-Seq gene expression data. by Brett A McKinney, Bill C White, Diane E Grill, Peter W Li, Richard B Kennedy, Gregory A Poland, Ann L Oberg

“…We demonstrate performance on a panel of simulated data that have a range of distributional properties reflected in real mRNA-seq data including multiple transcripts with varying sizes of main effects and interaction effects. For simulated main effects, gwak-Relief-F feature selection performs comparably to standard tools DESeq and edgeR for ranking relevant transcripts. …”
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Algorithm for forming the structure of a selling website (by the example of developing landing page with high conversion for tourism business) by Ya. G. Usenko

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Prediction of Coiled Tubing Erosion Rate Based on Sparrow Search Algorithm Back-Propagation Neural Network Model by Yinping Cao, Fengying Fang, Guowei Wang, Wenyu Zhu, Yijie Hu

“…However, with the increase in fracturing, drilling, and sand-washing operations, the erosion of coiled tubing walls caused by solid particles has become one of the main failure modes. To accurately predict the erosion rate of coiled tubing, this study studied the influence law of erosion rate through experiments, screened the main influencing factors of erosion rate by grey relational analysis (GRA), and established a back-propagation neural network (BPNN) model optimized by the sparrow search algorithm (SSA) to predict the erosion rate. …”
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Model of a Parallel-Pipeline Computational Process for Solving a System of Grid Equations by V. N. Litvinov, N. B. Rudenko, N. N. Gracheva

“…Environmental  problems  arising  in  shallow  waters  and  caused  by  both  natural  and  man-made  factors annually do significant damage to aquatic systems and coastal territories. …”
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