Effect of Intelligent Exercise Training on Lower Limb Rehabilitation in Children with Spastic Cerebral Palsy by Xuemei ZHANG, Meicong ZHANG, Liyang XIA, Yue YANG

“…The observation group added intelligent exercise training on the basis of that in the control group. …”
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CTGNet: Automatic Analysis of Fetal Heart Rate from Cardiotocograph Using Artificial Intelligence by Mei Zhong, Hao Yi, Fan Lai, Mujun Liu, Rongdan Zeng, Xue Kang, Yahui Xiao, Jingbo Rong, Huijin Wang, Jieyun Bai, Yaosheng Lu, Yang Pan

“…This study investigates the efficacy of analyzing fetal heart rate (FHR) signals based on Artificial Intelligence to obtain a baseline calculation and identify accelerations/decelerations in the FHR through electronic fetal monitoring during labor. …”
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Research and application of intelligent diagnosis and optimization technologies for multi-model oil and gas development by JING Shuai, WU Jianjun, MA Chengjie

“…With the increasing difficulty in oil and gas development and insufficient replacement of resources, traditional development of oil and gas reservoirs faces multiple challenges, requiring intelligent analysis solutions for enhanced development efficiency. …”
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Leveraging Comprehensive Echo Data to Power Artificial Intelligence Models for Handheld Cardiac Ultrasound by D.M. Anisuzzaman, PhD, Jeffrey G. Malins, PhD, John I. Jackson, PhD, Eunjung Lee, PhD, Jwan A. Naser, MBBS, Behrouz Rostami, PhD, Grace Greason, BA, Jared G. Bird, MD, Paul A. Friedman, MD, Jae K. Oh, MD, Patricia A. Pellikka, MD, Jeremy J. Thaden, MD, Francisco Lopez-Jimenez, MD, MSc, MBA, Zachi I. Attia, PhD, Sorin V. Pislaru, MD, PhD, Garvan C. Kane, MD, PhD

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Artificial Intelligence and the Islamic Theology of Technology: From “Means” to “Meanings” and from “Minds” to “Hearts” by Mohammed Gamal Abdelnour

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THE USE OF TEENAGERS OF THE RUSSIAN EMPIRE IN THE INTERESTS OF GERMAN INTELLIGENCE DURING THE FIRST WORLD WAR by Zverev V.O., Tsepilov A.E.

“…All the other motivators that we identified – playfulness, feelings of risk and danger, “German roots,” sympathy for the recruiting officer – played a secondary role. …”
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Co-creation in action: Bridging the knowledge gap in artificial intelligence among innovation champions by Elizabeth Irenne Yuwono, Dian Tjondronegoro, Carla Riverola, Jennifer Loy

“…The increasing significance of artificial intelligence (AI) in various industries highlights the necessity for industry leaders and professionals to comprehend and gain knowledge about AI. …”
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An innovative methodology for segmenting vessel like structures using artificial intelligence and image processing by Reynaldo Villarreal, Sindy Chamorro-Solano, Steffen Cantillo, Roberto Pestana-Nobles, Sair Arquez, Yolanda Vega-Sampayo, Leonardo Pacheco-Londoño, Jheifer Paez, Nataly Galan-Freyle, Cristian Ayala, Paola Amar

“…However, identifying intricate details in images can often pose challenges due to morphological variations or specific conditions. Here, artificial intelligence (AI) plays a crucial role by simplifying the segmentation of images. …”
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Development of a standardized data collection and intelligent fabric quality prediction system for the weaving department by Ning Dai, Lunjun Li, Kaixin Xu, Zhehao Lu, Xudong Hu, Yanhong Yuan

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Intelligent Fault Severity Detection of Rotating Machines Based on VMD-WVD and Parameter-Optimized DBN by Ning Jia, Yao Cheng, Youyuan Tian, Feiyu Yang

“…The fitness function in the parameter optimization process is the network’s root mean square error (RMSE). Finally, the input samples are loaded into a DBN that has the best structure for detecting severity. …”
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Factorial Structure and Measurement Invariance of the General Atitudes Toward Artificial Intelligence Scale for University Students by Mohammed Mosa AlShamrani

“… The study aims to investigate the factorial structure (FS) and measurement invariance (MI) of the General Attitudes Toward Artificial Intelligence Scale (GAAIS) on a sample of students from Taif University. …”
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Coupled Bending-Bending-Torsion Vibration of a Rotating Pre-Twisted Beam with Aerofoil Cross-Section and Flexible Root by Finite Element Method by Bulent Yardimoglu, Daniel J. Inman

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Intelligent Renewable Energy Agent-Based Distributed Control Design for Frequency Regulation and Economic Dispatch by Amjad Khan, Amjad Ullah Khattak, Bilal Khan, Sahibzada Muhammad Ali, Zahid Ullah, Faisal Mehmood

“…Moreover, an optimization-based DAI tuning model is introduced to overcome tuning limitations. Intelligent renewable energy agents are trained through machine learning-based regression models that use root mean square error metrics for performance evaluations. …”
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Improvement of an Edge-IoT Architecture Driven by Artificial Intelligence for Smart-Health Chronic Disease Management by William Alberto Cruz Castañeda, Pedro Bertemes Filho

“…The architecture is anchored in the Internet of Things and edge computing, and it is driven by artificial intelligence to establish three foundational layers in smart care. …”
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A Hybrid Model Integrating Variational Mode Decomposition and Intelligent Optimization for Vegetable Price Prediction by Gao Wang, Shuang Xu, Zixu Chen, Youzhu Li

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Artificial Intelligence-Supported Spatial Scanning for Enhanced Real-Time Spectral Analysis of Heterogeneous Media by Bassem Mortada, Samir Abozyd, Bassam Saadany, Yasser M. Sabry, Diaa Khalil, Tarik Bourouina

“…The 10-mm sensor exhibits a substantial reduction in root mean square error for protein (−60%) and for moisture (−43.5%), 2 major nutritional quality indicators of cereal grains.…”
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Research on Prediction and Optimization of Airport Express Passenger Flow Based on Fusion Intelligence Network Model by Jin He, Yinzhen Li, Yuhong Chao

“…The experimental results show that the model achieves an excellent performance, with 0.0160, 0.0947, 0.0160, 0.1255, 18.40, and 0.7788 in key indicators such as loss value (Loss Value), mean absolute error (MAE), mean squared error (MSE), root mean square error (RMSE), mean absolute percentage error (MAPE), and coefficient of determination (R-Squared). …”
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An intelligent prediction method of gas concentration in coal mines based onimproved TCN-TimeGAN by Qingsong HU, Shuo ZHENG, Shiyin LI, Yanjing SUN

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Application of artificial intelligence and red-tailed hawk optimization for boosting biohydrogen production from microalgae by Hegazy Rezk, Ali Alahmer, Abdul Ghani Olabi, Enas Taha Sayed

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An artificial intelligence model for predicting an appropriate mAs with target exposure indicator for chest digital radiography by Jia-Ru Lin, Tai-Yuan Chen, Yu-Syuan Liang, Jyun-Jie Li, Ming-Chung Chou

“…We concluded that the ML approach was feasible for building an artificial intelligence model for predicting appropriate mAs with target exposure indicator for chest digital radiography.…”
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