Remote Sensing of Particle Absorption Coefficient of Pigments Using a Two-Stage Framework Integrating Optical Classification and Machine Learning by Xietian Xia, Shaohua Lei, Hui Lu, Zenghui Xu, Xiang Li, Xing Chen, Niancheng Hong, Jie Xu, Kun Shi, Jiacong Huang

“…Subsequently, an XGBoost regression model with L1-norm feature selection was applied to inversely derive <i>a</i>_ph(440), <i>a</i>_ph(555), <i>a</i>_ph(675), and <i>a</i>_ph(709) for each class. …”
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Small Modular Reactor based on NuScale with Thorium base by Diego M. E. Gonçalves, Marcelo Vilela da Silva, C. J. C. M. R. da Cunha, Giovanni L. Stefani

“…Implemented in Python, the algorithm continuously adjusted reactor parameters, logged progress, and enabled ongoing monitoring and potential restarts. …”
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Thermal comfort and energy related occupancy behavior in Dutch residential dwellings by Anastasios Ioannou

“…This indicates that either there is an indiscrimination among the various thermal sensation levels or alliesthesia, a new concept introduced by the creators of the adaptive model, plays an increased role. Most importantly there was an uncertainty on whether the neutral sensation means at the same time comfortable sensation while many actions are happening out of habit and not in order to improve one’s thermal comfort. …”
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Predicting Red Blood Cell Transfusion in Elective Cardiac Surgery: A Machine Learning Approach by Beatriz Lau, Daniel Ramos, Vera Afreixo, Luís M. Silva, Ana Helena Tavares, Miguel Martins Felgueiras, Diana Castro Paupério, João Firmino-Machado

“…These machine learning models demonstrate the potential to improve the accuracy of transfusion prediction at hospital admission, despite the absence of key variables such as surgeon identity and anaemia diagnosis.…”
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Life cycle assessment and multicriteria decision making analysis of additive manufacturing processes towards optimal performance and sustainability by Jayant M. Raut, Prashant B. Pande, Kamlesh V. Madurwar, Rajesh M. Bhagat, Satyajit S. Uparkar, Nilesh Shelke, Haytham F. Isleem, Arpita, Vikrant S. Vairagade

“…This framework overcomes the present limitations of the LCA model by introducing dynamic predictive modeling using Gaussian Process Regression, real-time adaptive decision-making through Stochastic Forest, and multi-objective optimization through Particle Swarm Optimization. …”
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Groundwater pollution risk assessment in typical coal-related industry agglomeration area by Lai ZHOU, Yanzhuo LIU, Zenggang QI, Lei WANG, Lei MENG, Qiyan FENG, Yanqing RONG

“…Taking a coal-related industrial agglomeration area in Shanxi Province as study area, the DRASTIC and PLEIK models were used to evaluate the vulnerability of pore water aquifers and karst water aquifers in the study area, respectively. …”
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MSS-YOLO: Multi-Scale Edge-Enhanced Lightweight Network for Personnel Detection and Location in Coal Mines by Wenjuan Yang, Yanqun Wang, Xuhui Zhang, Le Zhu, Tenghui Wang, Yunkai Chi, Jie Jiang

“…In addition, MSS-YOLO is combined with the SGBM binocular stereo vision matching algorithm to provide a personnel 3D spatial position solution by using disparity results. …”
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Estimation of mangrove heights and aboveground biomass using UAV-LiDAR, Sentinel-1 and ZY-3 stereo images by Bolin Fu, Yingying Wei, Linhang Jiang, Hang Yao, Xiaomin Li, Yanli Yang, Mingming Jia, Weiwei Sun

“…In this study, we constructed mangrove height inversion models using multiple types of remote sensing data and machine learning algorithms (partial least squares regression (PLSR), random forest (RF), and mixture density network (MDN)). …”
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Development of policy research-evidence organizer and public health-policy evaluation tool (prophet): a computing paradigm for promoting evidence-informed policymaking in Nigeria by Kingsley Otubo Igboji, Chigozie Jesse Uneke, Fergus U. Onu, Onyedikachi Chukwu

“…It adapted machine learning linear model to classify attributes into 6-domains to reflect the WHO promoted 6-policy cycle of a health system. …”
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Association between atherogenicity indices and prediabetes: a 5-year retrospective cohort study in a general Chinese physical examination population by Xianli Qiu, Yong Han, Changchun Cao, Yuheng Liao, Haofei Hu

“…Notably, the combined indices model achieved enhanced predictive performance (AUC: 0.6753) compared to individual indices, suggesting the potential benefit of using multiple atherogenicity indices for prediabetes risk prediction. …”
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Application of “high-fidelity and high-resolution” processing technology in thin reservoir identification: A case study of the deep Permian Maokou Formation in Penglai area, centra... by PENG Haotian, HE Qinglin, CHEN Kang, ZENG Ming, HE Zongqiang, TU Zhihui, KONG Lingxia, QU Bozhang

“…The final reflection coefficient model is obtained by applying regularization. Subsequently, wavelet decomposition and high-frequency wavelet replacement are conducted to expand the high-frequency spectrum while maintaining amplitude and fidelity, significantly improving seismic data resolution.Application ResultsThe test area spans 200 km², using an observation system with 24 lines, 7 sources, 270 receivers, and 180-fold coverage. …”
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An Approach to Data Reduction for Learning from Big Datasets: Integrating Stacking, Rotation, and Agent Population Learning Techniques by Ireneusz Czarnowski, Piotr Jędrzejowicz

“…We propose to use an agent-based population learning algorithm for data reduction in the feature and instance dimensions. …”
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Research on New SMA Actuator and Bionic Hand by Zhiguang Wu

“…The experimental results show that the new polygon SMA actuator has small volume，light quality，drive a large displacement，through the double feedback current and temperature control algorithm，the precise control of output displacement is realized and the SMA actuator response speed under different environmental temperature is improved，by fetching experiments，the bionic hand grasping ability is verified. …”
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STING is significantly increased in high-grade glioma with high risk of recurrence by Meishi Zhong, Manmei Long, Chenjie Han, Saiyan Ji, Qingyuan Yang

“…Then, a relapse predictive risk-scoring model was established using the least absolute shrinkage and selection operator regression algorithms. …”
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Data-driven fault detection and positioning of eccentric rolls in roll-to-roll systems using wrap angle and sensor proximity by Yoonjae Lee, Minjae Kim, Jaehyun Noh, Gyoujin Cho, Changwoo Lee

“…By leveraging tension data, optimal feature sets are identified, emphasizing the Mean, Fast Fourier Transform, and other key variables that capture crucial system dynamics, including wrap angles and sensor proximities. Classification algorithms were used to compare the performance of models employing these optimized FCM-based features against traditional models utilizing a full suite of 40 statistical features. …”
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Conversion relationships and three-dimensional storage and utilization modes of four water resources in an open-pit mining area by Tianci CHEN, Zhimin XU, Yajun SUN, Jie FANG, Qiangmin WANG, Xiaofeng XIONG, Yuhao ZHU, Zihan LU, Fei WAN

“…By constructing an allocation model for the four water resources using an improved genetic algorithm, this study established a three-dimensional storage and comprehensive allocation and utilization system characterized by four water resources, five storage modes, and five utilization pathways for the open-pit mining area. …”
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Identification and validation of a KRAS-macrophage-associated gene signature as prognostic biomarkers and potential therapeutic targets in melanoma by Beichen Cai, Beichen Cai, Beichen Cai, Qian Lin, Qian Lin, Qian Lin, Ruonan Ke, Ruonan Ke, Ruonan Ke, Jiaqi Yu, Jiaqi Yu, Jiaqi Yu, Lu Chen, Lu Chen, Xuejun Ni, Xuejun Ni, Hekun Liu, Xiuying Shan, Xiuying Shan, Biao Wang, Biao Wang, Biao Wang

“…Single-cell RNA sequencing (scRNA-seq) was leveraged to investigate the cellular heterogeneity within the SKCM tumor microenvironment, and macrophage populations were categorized using the Monocle2 algorithm. A KRAS-Macrophage Prognostic Associated Gene (KMPAG) signature was developed by integrating these findings, followed by validation using a least absolute shrinkage and selection operator (LASSO) regression model. …”
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Development experience of information system for ranking of academic and pedagogical staff by A. A. Chernousov, E. V. Vavilova

“…Experience in the implementation of the rating system in Plekhanov Russian University of Economics showed that the independent automated assessment of the activity efficiency of officers allows to improve the mechanism of planning and personnel management system, allows to create model of stimulation of the types of activity influencing increase of the place of University in the Russian and international ratings, and also creates conditions for positive dynamics of growth of level of qualification of academic and pedagogical staff. …”
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Real-time monitoring of maize phenology using ground camera fusion information by Qi Zhao, Yonghua Qu, Dongyi Liu

“…To address these issues, this study combined ground camera and machine learning (ML) algorithms to explore the relationship between spectral and texture information derived from NDVI camera and maize phenology (BBCH), developing a user-friendly real-time maize phenology monitoring stacked ensemble learning (SEL) model. …”
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PREDICTION INTERVALS IN MACHINE LEARNING: RESIDUAL BOOTSTRAP AND QUANTILE REGRESSION FOR CASH FLOW ANALYSIS by Wa Ode Rahmalia Safitri, Farit Mochamad Afendi, Budi Susetyo

“…This study implements multivariate time series forecasting using gradient boosting algorithms (XGBoost, CatBoost, and LightGBM) to predict cash flow patterns in banking transactions, focusing on constructing reliable prediction intervals. …”
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