Relationship between multimorbidity and composite lifestyle status in Shenzhen, China by Hua-Lu Yang, Bei-Rong Mo, Alex Molassiotis, Mian Wang, Gui-Lan He, Yao Jie Xie

“…Multimorbidity was defined as two or more chronic diseases coexisting in a single person. An algorithm on body mass index, physical activity, drinking, smoking, and sleep quality was used to calculate lifestyle scores (0–9), with higher scores predicting a healthier lifestyle. …”
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An interpretable machine learning model with demographic variables and dietary patterns for ASCVD identification: from U.S. NHANES 1999–2018 by Qun Tang, Yong Wang, Yan Luo

“…Five ML models were developed to predict ASCVD, and the best-performing model was selected for further analysis. …”
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Domain generalization for image classification based on simplified self ensemble learning. by Zhenkai Qin, Xinlu Guo, Jun Li, Yue Chen

“…Finally, a dynamic loss adaptive weighted voting strategy ensures more accurate predictions across diverse domains. Experimental results on three public benchmark datasets (OfficeHome, PACS, and VLCS) demonstrate that our proposed algorithm achieves an improvement of up to 3 . 38% over existing methods in terms of generalization performance, particularly in complex and diverse real-world scenarios, such as autonomous driving and medical image analysis. …”
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On nonlinear coupled differential equations for corrugated backward facing step (CBFS) with circular obstacle: AI-neural networking by Khalil Ur Rehman, Wasfi Shatanawi, Weam G. Alharbi

“…It is concluded that the ANN design will act as the most accurate forecasting model of hydrodynamic force on circular obstruction in BFS for an extensive range, except normal parameters where classical methodologies were unable to predict.…”
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Generative AI-powered multilingual ASR for seamless language-mixing transcriptions by Puspita Dash, Sruthi Babu, Logeswari Singaravel, Devadarshini Balasubramanian

“…Here, we use a generative pre-trained transformer model, which learns to predict the subsequent word in a language during the pre-training stage in order to get an understanding of language structure and semantics. …”
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Designing transit routes based on vehicle routing behavior determined through location-based services data by Yuhan Tang, Abdullah Alhadlaq, Alben Rome Bagabaldo, Marta C. Gonzalez

“…Abstract The disparity between transit agency travel predictions and the unpredictable nature of real-world travel behavior contributes to inefficiencies within the transit system. …”
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Lightweight construction safety behavior detection model based on improved YOLOv8 by Kan Huang, Mideth B. Abisado

“…YOLO (You Only Look Once) is an object detection algorithm that can achieve real-time and efficient object detection by dividing images into grids and predicting the bounding boxes and categories of objects in each grid. …”
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Learning behavior analysis and personalized recommendation system of online education platform based on machine learning by Feng Ma

“…For example, the accuracy rate reached more than 70 % in predicting learners' preference for specific course types. …”
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Indoor fire and smoke detection based on optimized YOLOv5. by Md Shafak Shahriar Sozol, M Rubaiyat Hossain Mondal, Achmad Husni Thamrin

“…It also used the Grad-CAM technique to provide visual explanations for model predictions, ensuring interpretability and transparency. …”
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The Potentials of Contrast-Free Renal ASL MRI Perfusion in the Diagnosis and Dynamic Follow-Up of Renal Lesions in Patients with Diffuse Liver Diseases by А. А. Telesh, Т. G. Morozova

“…Contrast-free renal ASL-perfusion is an informative method for predicting, diagnosis and dynamic follow-up of renal lesions in patients with various DLD.…”
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Advancing thyroid diagnosis: integrating AI-driven CAD framework with numerical data and ultrasound images by Saleh Ateeq Almutairi

“…ViTs are utilized for analyzing thyroid ultrasound images, whereas SHAP provides explainable AI insights into model predictions. Extensive experiments were conducted on two datasets: the thyroid disease patient dataset and the DDTI: Thyroid Ultrasound Images dataset. …”
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Probability of Pulse Overlap as a Quantitative Indicator of Signal Environment Complexity by A. S. Podstrigaev, A. V. Smolyakov, I. V. Maslov

“…There is currently a need for developing the quantitative characteristics of a complex signal environment, which will make it possible to predict the stability of the WBA operation.Aim. The development of the indicator of the signal environment complexity, which will make possible the quantitative assessment of such environment.Materials and methods. …”
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Plastic failure and deformation calculation of shaft structure in soil under lateral explosion by Shanzheng Sun, Yuan Liu

“…In cases where concrete thickness to radius ratio greater than 13%, the relative error between theoretical calculations and numerical simulations was below 20%, indicating the computational method’s accuracy in predicting the deformation of steel plate-reinforced concrete shaft under medium-field explosions.…”
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Research on the pneumatic-electric braking collaborative control strategy for heavy-haul trains based on heuristic dual-end optimization by ZHANG Zhengfang, SHI Ke, LIU Haitao, WANG Yue, FENG Ling

“…At the same time, a neural network was designed to identify parameters for a nonlinear pneumatic braking model, thereby yielding predicted pneumatic braking forces. Subsequently, an A * algorithm was developed for iterative refinement within the finite set sequence, collaborative control sequence that satisfies the end constraints. …”
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Energy intensity of hydrocarbons in liquid and solid states by G. J. Кабо, L. A. Kabo, L. S. Karpushenkava, A. V. Blokhin

“…An additive scheme that allows the molar volume of hydrocarbons to be predicted with sufficient accuracy is proposed for calculating the volumetric enthalpies of combustion.Conclusions. …”
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Detección de situaciones de emergencias usando el modelo Naive- Bayes de machine learning. by Iván Leonel Vásquez-Rojas, Miguel José Vívas-Cortéz

“…In general, the obtained model has an accuracy of 74.6% in its classification predictions. It is considered that the use of a Naive-Bayes model for a prototype in the classification of emergency messages from the social network X could be very useful based on the results of the evaluation of its classification performance.…”
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Calcium and Vitamin D supplements in the treatment of osteoporosis. by Ahmed I Alobaidi, Ahmed Hazim Al Aoodh, Nabeel Yousif Abdullah, HUSHAM JASSIM, Mubder Abdul_Raheem Mohammed saeed, Housamaddeen Alfarhan

“…The fracture risk assessment algorithm is a tool used by medical professionals to predict people at risk of fracture due to osteoporosis and to take steps to prevent that. …”
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SOC fusion estimation for lithium battery using dual OCV-SOC relationships combined with fractional order extended Kalman filter by Ying Wei

“…The fusion weights are established using the predicted voltage error. The US06 Highway Driving Schedule and Beijing Dynamic Stress Test (BJDST) are used for verifying the proposed method. …”
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Fatigue-Aware Sub-Second Combinatorial Auctions for Dynamic Cycle Allocation in Human–Robot Collaborative Assembly by Claudio Urrea

“…Method: A human and a FANUC robot submit bids combining execution time, predicted energy, and real-time fatigue; a greedy algorithm (≤1 ms) with a <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>1</mn><mo>−</mo><mn>1</mn><mo>/</mo><mi>e</mi></mrow></semantics></math></inline-formula> approximation guarantee and <i>O</i> (|<i>Bids</i>| log |<i>Bids</i>|) complexity maximizes utility. …”
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Neural Network-Based Lower Limb Prostheses Control Using Super Twisting Sliding Mode Control by Adisu Tadese Demora, Chala Merga Abdissa

“…The triggering signal is extracted from the user&#x2019;s muscles and intense signal preprocessing that includes filtering, rectification, linearization, and Mean Average Value (MAV) feature extraction. The ANN predicts joint angles for walking, upstairs, and downstairs using the processed sEMG signals of the muscles and measured and filtered target joint angles. …”
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