Application of laser light backscattering for qualitative and quantitative assessment of dilution of clear and cloudy apple juices by Hoa Xuan Mac, Nga Thi Thanh Ha, László Friedrich, Lien Le Phuong Nguyen, László Baranyai

“…Multispectral data was extracted by signal approximation with Cauchy distribution function (M1) and first-order descriptive parameters (M2). Support vector machine (SVM) was used and the hyperparameters were optimized to maximize model performance. …”
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External validation of the Oncotype DX breast cancer recurrence score nomogram and development and validation of a novel machine learning-based model to predict postoperative overa... by Dongdong Wang, Xinfeng Wang, Xin Yang

“…Subsequently, we employed ten machine learning methods to develop ten prognostic models. …”
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Stacking classifiers based on integrated machine learning model: fusion of CT radiomics and clinical biomarkers to predict lymph node metastasis in locally advanced gastric cancer... by Tong Ling, Zhichao Zuo, Mingwei Huang, Jie Ma, Liucheng Wu

“…Abstract Background The early prediction of lymph node positivity (LN+) after neoadjuvant chemotherapy (NAC) is crucial for optimizing individualized treatment strategies. This study aimed to integrate radiomic features and clinical biomarkers through machine learning (ML) approaches to enhance prediction accuracy by focusing on patients with locally advanced gastric cancer (LAGC). …”
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Clinical efficacy of DSA-based features in predicting outcomes of acupuncture intervention on upper limb dysfunction following ischemic stroke by Yuqi Tang, Sixian Hu, Yipeng Xu, Linjia Wang, Yu Fang, Pei Yu, Yaning Liu, Jiangwei Shi, Junwen Guan, Ling Zhao

“…Finally, the accuracies and discriminative capabilities of the prediction models were assessed. Results The object detection model achieved an optimal recognition rate, The mean average precisions of YOLOX, TOOD, and FasterRCNN were 0.61, 0.7, and 0.68, respectively. …”
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Exploring the Habitat Distribution of <i>Decapterus macarellus</i> in the South China Sea Under Varying Spatial Resolutions: A Combined Approach Using Multiple Machine Learning and... by Qikun Shen, Peng Zhang, Xue Feng, Zuozhi Chen, Jiangtao Fan

“…Optimal models were selected under each resolution through performance comparison. …”
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An Optimization Method for Multi-Robot Automatic Welding Control Based on Particle Swarm Genetic Algorithm by Lu Chen, Jie Tan, Tianci Wu, Zengxin Tan, Guobo Yuan, Yuhao Yang, Chiang Liu, Haoyu Zhou, Weisi Xie, Yue Xiu, Gun Li

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Simulation Analysis and Experimental Research on Vibration Characteristic of Roller Brush Gearbox of Intelligent Sweeper by Jing Li, Hongbin Yang, Jihua Ren, Aijun Xu

“…The results show that the combination scheme of optimizing gear geometric parameters and reinforcing the motor assembly is the best scheme， and the noise of the whole machine is reduced by about 8.9 dB. …”
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Real-Time Anomaly Detection in IoMT Networks Using Stacking Model and a Healthcare- Specific Dataset by Hadjer Goumidi, Samuel Pierre

“…This model integrates XGBoost as the meta-learner with Random Forest and ANN as base models, leveraging their strengths to optimize anomaly detection. …”
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Predictive Modeling and Simulation of CO₂ Trapping Mechanisms: Insights into Efficiency and Long-Term Sequestration Strategies by Oluchi Ejehu, Rouzbeh Moghanloo, Samuel Nashed

“…This study presents a comprehensive analysis of CO₂ trapping mechanisms in subsurface reservoirs by integrating numerical reservoir simulations, geochemical modeling, and machine learning techniques to enhance the design and evaluation of carbon capture and storage (CCS) strategies. …”
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Development of a predictive model for risk factors of multidrug-resistant bacterial pneumonia in critically ill post-neurosurgical patients by Aixiang Hu, Dayan Ma, Yanni Lei, Fangqiang Li, Xi Wang, Yuewei Zhang

“…BackgroundMachine learning models have emerged as pivotal tools for enhancing the predictive accuracy of multidrug-resistant bacterial pneumonia (MDR-BP) risk in critically ill patients following neurosurgery procedures. …”
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Evolving smart homes to exploring space, dye-sensitized solar cells (DSSC) as a sustainable energy model for the future world—A review by S. Iswarya, A. Dharshini, B. Scholastica Mary Vithiya, T. Augustine Arul Prasad

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Kinematics and Workspace Analysis for Articulated Arm Coordinate Measuring Machine by Zhou Aiguo, Zhou Fei, Lv Gang, Ge Weiliang

“…The kinematics and workspace for articulated arm coordinate measuring machine（AACMM）is the basis for structure optimization and precision analysis.First,the kinematics theory model of AACMM is established by using D-H method and tri-dimension kinematics simulation is implemented based on the secondary development of SolidWorks to verify whether the kinematics model is correct.Then the AACMM workspace is analyzed and simulated by Monte Carlo method and the cloud picture is obtained.Finally,the volume of workspace is calculated more accurately by the stratifying method and boundary extension,a basis for the parameter optimization is provided.The simulation results show sthat the workspace of AACMM is distributed uniformly and no cavity and it meets the measurement requirement.…”
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Surrogate-guided optimization in quantum networks by Luise Prielinger, Álvaro G. Iñesta, Gayane Vardoyan

“…We introduce a more efficient computational framework that employs machine learning models as surrogates for the objective function. …”
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Intelligent Assessment of Personal Credit Risk Based on Machine Learning by Chuansheng Wang, Hang Yu

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Designing an explainable bio-inspired model for suspended sediment load estimation: eXtreme Gradient Boosting coupled with Marine Predators Algorithm by Roozbeh Moazenzadeh, Okan Mert Katipoğlu, Ahmadreza Shateri, Hamid Nasiri, Mohammed Abdallah

“…The superiority of the proposed model (XGB-MPA) compared to two other hybrid models, including XGB-PSO (Particle Swarm Optimization) and XGB-GWO (Grey Wolf Optimization) was also investigated. …”
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Kinematics Research and Simulation Analysis of Parallel Mechanism Embossing Machine by Zhanxian Li, Jianli Xu, Jinfeng Huang

“…The establishment of the mechanism composition and mechanism model of this parallel mechanism embossing machine is introduced. …”
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A Machine Learning Approach to Analyze Manpower Sleep Disorder by Reza Amiri

“…Moreover, a combination of machine learning and metaheuristic algorithms such as eXtreme Gradient Boosting and particle swarm optimization are used to make an accurate predictive model. …”
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Current Research of Micro Electrical Discharge Machining of Micro-hole by XIE Bao-cheng, CUI He-xin, ZHANG Yuan, LIU Xian-li

“…Fort he orthogonal experiment analysis，we choose the set of optimization of process parameters， combining with theoretical analysis model to verify the feasibility of parameters，the correctness of the theoretical model is verified by experiment. …”
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Double Sided Lapping/Polishing Machine Grinding Trajectory Studies by XU Li, LIU Bing, WU Shi, DUAN Hao-yang, DONG Rui

“…Fort he orthogonal experiment analysis，we choose the set of optimization of process parameters， combining with theoretical analysis model to verify the feasibility of parameters，the correctness of the theoretical model is verified by experiment. …”
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Volumetric Verification of Multiaxis Machine Tool Using Laser Tracker by Sergio Aguado, David Samper, Jorge Santolaria, Juan José Aguilar

“…Using this, the machine tool volumetric error is obtained and nonlinear optimization techniques are employed to improve the accuracy of the machine tool. …”
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