Pelvic Kinematics during Gait Following Long-Segment Spinal Fusion Due to Adult Spinal Deformity: An Analysis Using a Smartphone-Based Inertial Measurement Unit by Masanari Takami, Daisuke Nishiyama, Shunji Tsutsui, Keiji Nagata, Yuyu Ishimoto, Kotaro Oda, Hiroshi Iwasaki, Hiroshi Hashizume, Hiroshi Yamada

“…These features, plus gender and age, were classified using gradient boosting machine learning based on the decision tree algorithm. The classification accuracy and relative importance of the feature items were calculated. …”
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Modelling and simulation of the block pouring construction system considering spatial–temporal conflict of construction machinery in arch dams by Zhipeng Liang, Jiayao Peng, Chunju Zhao, Huawei Zhou, Dongfeng Li, Yihong Zhou, Quan Liu, Xiaodong Li, Cheng Zhang, Fang Wang

“…According to the degree of spatial–temporal conflict and its effect on security and efficiency, the subsidiary space scope of construction machinery is divided into three levels from inside to outside. The quantification algorithm of spatial–temporal conflict is proposed based on the three-layered space and time–space microelement model. …”
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Progression risk of adolescent idiopathic scoliosis based on SHAP-Explained machine learning models: a multicenter retrospective study by Xinyi Fang, Ting Weng, Zhehao Zhang, Wanfeng Gong, Yu Zhang, Mei Wang, Jianhua Wang, Zhongxiang Ding, Can Lai

“…Imaging and clinical features from center 1 were analyzed using the Boruta algorithm to identify independent predictors. Data from center 1 were divided into training (80%) and testing (20%) sets, while data from centers 2 and 3 were used as external validation sets. …”
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NLP-Driven Analysis of Pneumothorax Incidence Following Central Venous Catheter Procedures: A Data-Driven Re-Evaluation of Routine Imaging in Value-Based Medicine by Martin Breitwieser, Vanessa Moore, Teresa Wiesner, Florian Wichlas, Christian Deininger

“…<b>Background</b>: This study presents a systematic approach using a natural language processing (NLP) algorithm to assess the necessity of routine imaging after central venous catheter (CVC) placement and removal. …”
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Fuzzy Computation Tree Temporal Logic with Quality Constraints and Its Model Checking by Xianfeng Yu, Yongming Li, Shengling Geng, Huirong Li

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Sonographic machine-assisted recognition and tracking of B-lines in dogs: the SMARTDOG study by Aurélie Jourdan, Aurélie Jourdan, Caroline Dania, Caroline Dania, Maxime Cambournac, Maxime Cambournac

“…AI accuracy compared to clinicians was 84 and 86%.ConclusionThe AI algorithm demonstrated excellent agreement with experienced operators both for precise B-line counting and for the classification of pathological lung patterns. …”
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Delta radiomics modeling based on CTP for predicting hemorrhagic transformation after intravenous thrombolysis in acute cerebral infarction: an 8-year retrospective pilot study by Xiaxia Wu, Xiaxia Wu, Jinfang Yang, Jinfang Yang, Xianqun Ji, Yingjian Ye, Ping Song, Lina Song, Peng An, Peng An

“…This was confirmed by the XGboost algorithm, and decision curves confirmed the higher clinical net benefit of the combined model. …”
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Empirical Study of Multi-Objective Risk Portfolio Optimization Based on NSGA-II by Qian Gao, Aleš Kresta

“…The results indicate that the multi-objective risk genetic algorithm not only effectively explores the portfolio space but also handles conflicting optimization objectives, thereby enhancing the comprehensiveness and flexibility of investment decisions. …”
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Machine learning prediction of metabolic dysfunction-associated fatty liver disease risk in American adults using body composition: explainable analysis based on SHapley Additive e... by Yan Hong, Xinrong Chen, Ling Wang, Fan Zhang, ZiYing Zeng, Weining Xie

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Formal Verification of Spatio-Temporal Rules Guided Safe Reinforcement Learning for CPS by YIN Chan, ZHU Yi, WANG Jinyong, CHEN Xiaoying, HAO Guosheng

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Designing Multi-Objective Optimization Model of Electricity Market Portfolio for Industrial Consumptions under Uncertainty by Saeed Khalili, Ebrahim Abbasi, Bardia Behnia, Mohammad Amirkhan

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Advanced Phishing Detection: Leveraging t-SNE Feature Extraction and Machine Learning on a Comprehensive URL Dataset by Taha Etem, Mustafa Teke

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Theoretical and Numerical Study for Volterra−Fredholm Fractional Integro-Differential Equations Based on Chebyshev Polynomials of the Third Kind by Zineb Laouar, Nouria Arar, Abdellatif Ben Makhlouf

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Explainable machine learning for predicting lung metastasis of colorectal cancer by Zhentian Guo, Zongming Zhang, Limin Liu, Yue Zhao, Zhuo Liu, Chong Zhang, Hui Qi, Jinqiu Feng, Peijie Yao

“…Our study has constructed seven ML algorithms based on the data mentioned above, including Random Forest (RF), Decision Tree, Support Vector Machine, Naive Bayes, K-Nearest Neighbor, eXtreme Gradient Boosting, and Gradient Boosting Machine. …”
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Meta-Learning-Based Prediction of Different Corn Cultivars from Color Feature Extraction by Abdullah Beyaz, Dilara Gerdan

“…Each of nine color parameters (Rmin, Rmean, Rmax, Gmin, Gmean, Gmax, Bmin, Bmean, Bmax) which were obtained from original RGB color channels with maximum and minimum values was evaluated from the digital images of three different corn cultivar grains. The values were analyzed with the help of the Multilayer Perceptron (MLP), Decision Tree (DT), Gradient Boost Decision Tree (GBDT) and Random Forest (RF) algorithms by using the Knime Analytics Platform. …”
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A Novel Approach to Autonomous Driving Using Double Deep Q-Network-Bsed Deep Reinforcement Learning by Ahmed Khlifi, Mohamed Othmani, Monji Kherallah

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eVTOL Dispatch Cost Optimization Under Time-Varying Low-Altitude Delivery Demand by Tao Li, Yingjun Du, Zemin Zhang, Yushun Wang

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Development and Practice of Cloud Collaborative Platform for Downhole Measurement Tools by Che Yang, Yuan Guangjie, Qian Hongyu, Du Weiqiang, Wang Chenlong, Ding Jiping

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A prediction and correction reentry guidance method based on BP network and deep Q-learning network by WANG Kuan, YAN Xunliang, HONG Bei, NAN Wenjiang, WANG Peichen

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Assessment approaches the common electricity market of the Eurasian economic union functioning by Nikolay N. Shvets, Daria A. Melnik

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