Ultrasound-based machine learning model to predict the risk of endometrial cancer among postmenopausal women by Yi-Xin Li, Yu Lu, Zhe-Ming Song, Yu-Ting Shen, Wen Lu, Min Ren

“…Clinical trial number Not applicable.…”
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Process capability index Cpk for monitoring the thermal performance in the distribution of refrigerated products by Antonio Galvão Naclério Novaes, Orlando Fontes Lima Jr, Carolina Corrêa de Carvalho, Dmontier Pinheiro Aragão Junior

“…In this application, a refrigerated food delivery route is investigated using a simulated annealing algorithm that considers alternative delivery schemes. …”
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A refined SMR-DeepLabV3+ model for cultivated land extraction from cross-view imagery using an attention mechanism by Zheng Fang, Yuhang Gong, Heli Zhu, Canyang Shi, Zhijia Gong, Lin Tian

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The inconvenient truth of ground truth errors in automotive datasets and DNN-based detection by Pak Hung Chan, Boda Li, Gabriele Baris, Qasim Sadiq, Valentina Donzella

“…Assisted and automated driving functions will rely on machine learning algorithms, given their ability to cope with real-world variations, e.g. vehicles of different shapes, positions, colors, and so forth. …”
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AGW-YOLO-Based UAV Remote Sensing Approach for Monitoring Levee Cracks by HU Weibo, ZHOU Shaoliang, ZHAO Erfeng, ZHAO Xueqiang

“…This loss function incorporates an outlier degree evaluation and a dynamic non-monotonic focusing mechanism, which adaptively adjusts the optimization intensity of anchor boxes with varying qualities. …”
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VQABG: Vietnamese question/answers benchmark generator for field-specific chatbot ground-truth dataset using EMINI (Exact Match wIth Numeric Information) indicator by Anh-Khoa NGO-HO, Khuong-Duy Vo, Anh-Khoi NGO-HO

“…However, there is almost no complete model available for this task in Vietnamese. Regarding quality assessment, this is usually performed manually by experts using Human Evaluation (HE) indicators, which is also costly. …”
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Comparative performance of twelve machine learning models in predicting COVID-19 mortality risk in children: a population-based retrospective cohort study in Brazil by Adriano Lages dos Santos, Maria Christina L. Oliveira, Enrico A. Colosimo, Robert H. Mak, Clara C. Pinhati, Stella C. Gallante, Hercílio Martelli-Júnior, Ana Cristina Simões e Silva, Eduardo A. Oliveira

“…The COVID-19 pandemic has catalyzed the application of advanced digital technologies such as artificial intelligence (AI) to predict mortality in adult patients. …”
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Enhanced Metabolic Control in a Pediatric Population with Type 1 Diabetes Mellitus Using Hybrid Closed-Loop and Predictive Low-Glucose Suspend Insulin Pump Treatments by Irina Bojoga, Sorin Ioacara, Elisabeta Malinici, Victor Chiper, Olivia Georgescu, Anca Elena Sirbu, Simona Fica

“…The analyzed parameters, such as HbA1c (6.9 ± 0.7% vs. 6.7 ± 0.6%, <i>p</i> = 0.023), time in range (69.3 ± 11.2% vs. 76 ± 9.9%, <i>p</i> < 0.001), time in tight range (47.4 ± 10.9% vs. 53.7 ± 10.7%, <i>p</i> < 0.001), time below range (5.6 ± 2.9% vs. 3.5 ± 1.9%, <i>p</i> < 0.001), time above range (25 ± 11.2% vs. 20.4 ± 9.4%, <i>p</i> = 0.001), and coefficient of variation (37.9 ± 4.8% vs. 35.6 ± 4.6%, <i>p</i> = 0.001), showed significant improvements. Conclusions: The application of these sensor-integrated insulin pumps can significantly enhance metabolic control in pediatric populations, minimizing glycemic variations to mitigate complications and enrich the quality of life.…”
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T_SRNET: A multimodal model based on convolutional neural network for emotional speech enhancement by Shaoqiang Wang, Lei Feng, Li Zhang

“…After ablation and contrast experiments, the accuracy of CREMA-D and IEMOCAP was improved by 2% and 1% respectively. Also it can be evaluated that the proposed model in this study can correlate image data with speech data, improve the quality of speech data tagging and enhance the performance of speech recognition.…”
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VQABG: Vietnamese question/answers benchmark generator for field-specific chatbot ground-truth dataset using EMINI (Exact Match wIth Numeric Information) indicator by Anh-Khoa NGO-HO, Khuong-Duy Vo, Anh-Khoi NGO-HO

“…However, there is almost no complete model available for this task in Vietnamese. Regarding quality assessment, this is usually performed manually by experts using Human Evaluation (HE) indicators, which is also costly. …”
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Short-term Wind Power Forecasting Based on BWO‒VMD and TCN‒BiGRU by LU Jing, ZHANG Yanru, WANG Rui

“…Its capacity to manage complex time series data is demonstrated, and the advancement and innovation of algorithms and models are supported. New directions for technological progress and practical application in the field of wind power prediction are established.…”
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Adaptive multi classifier traffic data interpolation model based on information entropy by Yunkai ZHANG, Jin GAO, Qing LI, Xu WANG

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Sensitivity of biological sewage disposal efficiency functional to parameters of biogen concentration dynamics model by Е. S. Zhmenya, N. S. Buzalo

“…To simplify the providing data process, the sensitivity of the water quality functional to the model parameters is evaluated.Materials and Methods. …”
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Reprogramming Heritage: An Approach for the Automatization in the Adaptative Reuse of Buildings by Marta Domènech-Rodríguez, David López López, Sergi Nadal, Anna Queralt, Còssima Cornadó

“…The proposed methodology for a computational algorithm aims to systematise spatial characteristics, assess programmatic needs, and optimise building usage, while addressing challenges such as data integration and quality assurance. …”
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Understanding the flowering process of litchi through machine learning predictive models by SU Zuanxian, NING Zhenchen, WANG Qing, CHEN Houbin

“…The algorithms (RF and STR) with the smallest Mean Absolute Error (MAE) and the highest residual error (RMSE) and the highest correlation coefficient (RP2) were selected for further parameter optimization and evaluation. …”
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Vehicular-Computational Resource Geofencing: Efficient Spatiotemporal Uncertainty Estimation by Ghada Afifi, Bassem Mokhtar

“…However, existing VCC solutions are unable to satisfy the stringent quality of experience (QoE) requirements for running vehicular applications, especially delay- and throughput-sensitive applications, given the high communication delay and latency with the central cloud. …”
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Key geological and engineering technologies and research directions for shale gas exploration and development in western Hubei Province, China by Guangyou Zhu, Jineng Jin, Qilin Xiao, Lei Wang, Guanglong Sheng, Jun Tang, Jianghui Meng, Zhiyuan Lu, Can Chen

“…This necessitates developing region-specific evaluation systems and exploitation techniques. Drawing on previous application cases and guided by the research paradigm of geology-engineering integration, this study presents key technologies potentially applicable to shales in western Hubei Province, spanning from reservoir and sweet spot evaluation to fracturing scheme design and fracturing performance monitoring. …”
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Comparing machine learning models for predicting preoperative DVT incidence in elderly hypertensive patients with hip fractures: a retrospective analysis by Xue Ge, Lan Yao, Yan Liu, Yi Wang, Fang Zhang

“…Various machine learning algorithms were also employed to build predictive models. …”
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Assessing the Impact of the MOOC Learning Platform on the Comprehensive Development of English Teachers at College Level under “Double First-Rate” by Utilization of the SWOT Analys... by Wenjuan He

“…Then, the reliability test and the MOOC learning recommendation algorithm are used to evaluate the quality evaluation system of English teaching in the MOOC utilizing the structural equation model. …”
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Determinants and risk prediction models for frailty among community-living older adults in eastern China by Lin Qi, Lin Qi, Jianyu Liu, Xuhui Song, Xinle Wang, Mengmeng Yang, Xinyi Cao, Yan He

“…Predictive models were constructed using decision trees, random forests, and XGBoost algorithms, implemented in R software (version 4.4.2). …”
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