Incorporating Intelligence in Multiple-Attribute Decision-Making using Algorithmic Framework and Double-Valued Neutrosophic Sets: Varied Applications to Employment Quality Evaluati... by Qiuyan Zhao, Wentao Li

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Simulation of Spatial and Temporal Dynamics in Habitat Quality amid Rapid Urbanization based on Random Forest Algorithm: A Lingui District, Guilin City Case Study by Zhang Xiaoyan, Liu Hanxin, Yang Xin, Wu Gang, Tan Junjie

“…This study, centering on the rapidly urbanizing Lingui District, assesses and forecasts land use conversion and habitat quality evolution from 2000 to 2030, using the random forest algorithm, employing land use data from 2000, 2010, and 2020 through an integrated application of the PLUS- InVEST model. …”
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Fuzzy synthetic approach for seismic risk assessment of bridges with insights from the 2023 Kahramanmaras Earthquake in Turkiye by Abdullah Ansari, Ayed E. Alluqmani, Zhongkai Huang, Jong-Han Lee, Gürkan Özden, Yewuhalashet Fissha, Taoufik Saidani, Anas Ansari

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Technological Catch-Up Performance: The Interplay Between Collaboration Networks and Knowledge Networks by Xiaoji Wan, Jiangmei Li, Jing Lai, Liping Zhang

“…This study mainly explores the influence of collaboration and knowledge networks on the TCP of firms based on machine learning algorithms. First, patent data from the Chinese AI industry from 2013 to 2022 were used to construct collaboration and knowledge networks. …”
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Petrophysics Parameter Inversion and Its Application Based on the Transient Electromagnetic Method by Xiaozhen Teng, Jianhua Yue, Kailiang Lu, Danyang Xi, Herui Zhang, Kua Wang

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Improving the navigation optimization of hospital logistics robots under complex lighting changes by using improved ORB-SLAM3 and deep learning visual SLAM algorithm by Feng Xiao, Youhai Zhang, Jie Fang, Xing Guo, Rubing Huang

“…These measures significantly improve the quality and matching accuracy of feature point extraction; the algorithm also combines visual and inertial information closely by combining inertial measurement unit data, further enhancing the positioning accuracy and system stability.The experimental results show that in the environment of rapid light changes, the average positioning error, navigation map construction integrity and navigation planning time of the improved ORB-SLAM3 algorithm are 0.26 m, 80% and 7.26 ms, respectively.This achievement not only effectively improves the navigation efficiency of the hospital logistics robot, but also enhances its stability and reliability in an environment with severe lighting changes. …”
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The research on enhancing LA estimation accuracy across domains for small sample data based on data augmentation and data transfer integration optimization system by Ai-Dong Wang, Rui-Jie Li, Xiang-Qian Feng, Zi-Qiu Li, Wei-Yuan Hong, Hua-Xing Wu, Dan-Ying Wang, Song Chen

“…Fourteen morphological feature parameters are constructed, and the leaf area values are measured through destructive sampling, together forming the dataset. …”
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Improving appendix cancer prediction with SHAP-based feature engineering for machine learning models: a prediction study by Ji Yoon Kim

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Research on collision avoidance path planning method for mining and anchoring equipment in narrow and restricted space of tunneling laneways by Wenjuan YANG, Ran ZHANG, Xuhui ZHANG, Sihao TIAN, Zeyao WANG, Xili ZHENG, Zhiteng REN, Jicheng WAN, Yuyang DU, Hanbing ZHANG

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End-to-end data extraction framework from unstructured geotechnical investigation reports via integrated deep learning and text mining techniques by Jimin Park, Wanhyuk Seo, Tae Sup Yun

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Monitoring Pine Wilt Disease Using High-Resolution Satellite Remote Sensing at the Single-Tree Scale with Integrated Self-Attention by Wenhao Lv, Junhao Zhao, Jixia Huang

“…This study introduces several advanced self-attention algorithms into the task of satellite-based monitoring of pine wilt disease to enhance detection performance. …”
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Robust Stochastic Dynamic Optimal Power Flow Model of Electricity-Gas Integrated Energy System considering Wind Power Uncertainty by Zhengfeng Qin, Xiaoqing Bai, Xiangyang Su

“…Therefore, we propose a robust stochastic optimization (RSO) model to solve the dynamic optimal power flow model for electricity-gas integrated energy systems (IES) considering wind power uncertainty, where the ambiguity set of wind power output is constructed based on Wasserstein distance. …”
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An Integrative Computational Approach for Identifying Cotton Host Plant MicroRNAs with Potential to Abate CLCuKoV-Bur Infection by Muhammad Aleem Ashraf, Imran Shahid, Judith K. Brown, Naitong Yu

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Integrative analysis of multi-omics data identified PLG as key gene related to Anoikis resistance and immune phenotypes in hepatocellular carcinoma by Xueyan Wang, Lei Gao, Haiyuan Li, Yanling Ma, Bofang Wang, Baohong Gu, Xuemei Li, Lin Xiang, Yuping Bai, Chenhui Ma, Hao Chen

“…In this study, we employed advanced clustering algorithms to analyze and integrate multi-omics data from HCC patients, with the objective of identifying key genes that possess prognostic potential associated with the Anoikis resistance phenotype. …”
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Integrating Multimodal Deep Learning with Multipoint Statistics for 3D Crustal Modeling: A Case Study of the South China Sea by Hengguang Liu, Shaohong Xia, Chaoyan Fan, Changrong Zhang

“…Constructing an accurate three-dimensional (3D) geological model is crucial for advancing our understanding of subsurface structures and their evolution, particularly in complex regions such as the South China Sea (SCS). …”
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Multi-omics analysis identifies SNP-associated immune-related signatures by integrating Mendelian randomization and machine learning in hepatocellular carcinoma by Qingyan Kou, Zhichao Wu, Wenbin Zhao, Zhenyuan Liu, Shengxian Qiao, Qiang Mu, Xu Zhang

“…Machine learning analysis was performed on the genes identified through Mendelian randomization (MR) and survival association analysis, using 101 algorithms to construct a robust prognostic model. A novel riskScore model was developed by integrating genetic, clinical, and immune cell infiltration data. …”
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A novel method for soil organic carbon prediction using integrated ‘ground-air-space’ multimodal remote sensing data by Yilin Bao, Xiangtian Meng, Huanjun Liu, Mengyuan Xu, Mingchang Wang

“…To address this challenge, we propose an innovative multimodal remote sensing data integration framework, ResoCroS-Net, which integrates ground (soil samples), air (unmanned aerial vehicle (UAV) images), and space (satellite images) data, realized effective integration of multimodal data at different resolutions, with particular innovations in hierarchical design and data-processing logic. …”
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Research on scenario recognition for THz channels based on mRMR-GA by HAO Xinyu, LIAO Xi, WANG Yang, LIN Feng, LUO Jiao, ZHANG Jie

“…To address the challenges of excessive feature parameter redundancy and insufficient scene correlation in terahertz (THz) channel scenario recognition, a recognition algorithm integrating the minimal redundancy maximal relevance (mRMR) criterion with genetic algorithm (GA) optimization was constructed based on feature selection theory and evolutionary computation principles. …”
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Adaptive estimation: Fuzzy data-driven gamma distribution via Bayesian and maximum likelihood approaches by Abbarapu Ashok, Nadiminti Nagamani

“…In the case of ML estimates, the expectation-maximization (EM) algorithm and the Newton-Raphson (NR) method were applied, with confidence intervals constructed using the Fisher information matrix. …”
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State of Health Estimation for Lithium-Ion Batteries Based on TCN-RVM by Yu Zhao, Yonghong Xu, Yidi Wei, Liang Tong, Yiyang Li, Minghui Gong, Hongguang Zhang, Baoying Peng, Yinlian Yan

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