Procedimiento de corte en cuerpos sólidos poliédricos // Section procedure in solid polyhedral bodies. by A. Miguel Iznaga Benítez, I. Pérez Mallea

“…<br />This algorithm can be use in the software creation that will help to the educational process</p><p><br />Key words: section, separation of solids, algorithm, geometric modeling, graphic, CAD. teaching.…”
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A precise estimation framework for individual tree AGB of Pinus kesiya var. Langbianensis utilizing point cloud registration Optimization by Zhibo Yu, Yong Wu, Ziyu Zhang, Chi Lu, Hong Wang, Zhi Liu, Xiaoli Zhang, Lei Bao, Jie Pan, Guanglong Ou, Hongbin Luo

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Cascaded Machine Learning of Soil Moisture and Salinity Prediction in Estuarine Wetlands Based on In Situ Internet of Things Monitoring by Jie Song, Yujun Yi

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IMPROVEMENT OF MEDICAL CARE FOR THE PATIENTS WITH LIPID DISORDERS (CASE OF LIPID CENTER OF THE “DISTRICT CARDIOLOGICAL DISPENSARY “CENTER FOR DIAGNOSTICS AND CARDIOVASCULAR SURGERY... by K. G. Kozhokar, I. A. Urvantseva

“…Taken high prevalence of the pathology in younger patients, we have developed and implemented an algorithm of the young acute coronary syndrome patients follow-up; developed and approved the algorithms of interaction of the in-patient and outpatient parts of specialized care for lipid disorder patients.Conclusion. …”
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Unmanned aerial vehicle hierarchical detection of leaf blast in rice crops based on a specific spectral vegetation index by Guangming LI, Dongxue ZHAO, Jinpeng LI, Shuai FENG, Chunling CHEN

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Mental Fatigue Has Great Impact on the Fractal Dimension of Brain Functional Network by Gang Li, Yanting Xu, Yonghua Jiang, Weidong Jiao, Wanxiu Xu, Jianhua Zhang

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Machine Learning Classification of First-Onset Drug-Naive MDD Using Structural MRI by Donghwa Kim, Pilsung Kang, Junhong Kim, Czang Yeob Kim, Jong-Ha Lee, Sangil Suh, Moon-Soo Lee

“…We aimed to determine whether it is possible to reliably train a highly accurate predictive classification algorithm, even with the first onset of drug-naive adolescent MDD, solely using structural magnetic resonance imaging and without using any other clinical data from the patients. …”
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Effective practices in enhancing autonomous English language learning through YouTube by Ritueli Daeli, Santosa Santosa

“…The study underscores the need for curating high-quality educational content and developing tools to support self-regulation among learners. …”
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Machine Learning-Based Classification of Programming Logic Understanding Levels by Mouse-Tracking Heatmaps by Attaporn Khaesawad, Yosuke Fukuchi, Vibol Yem, Nobuyuki Nishiuchi

“…Introductory programming is a crucial early course in IT higher education as it aids in developing problem-solving skills. …”
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AI based predictive acceptability model for effective vaccine delivery in healthcare systems by Muhammad Shuaib Qureshi, Muhammad Bilal Qureshi, Urooj Iqrar, Ali Raza, Yazeed Yasin Ghadi, Nisreen Innab, Masoud Alajmi, Ayman Qahmash

“…A sample dataset containing 7150 data records with 31 demographic and socioeconomic attributes from PDHS (2017–2018) is used in this paper. …”
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Identifying key risk factors of polycyclic aromatic hydrocarbons and benzene exposure in Korean adult males using machine learning approaches by Haewon Byeon

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Development of a Novel Biomechanical Framework for Quantifying Dynamic Risks in Motor Behaviors During Aircraft Maintenance by Mingjiu Yu, Di Zhao, Yu Zhang, Jing Chen, Gongbing Shan, Ying Cao, Jun Ye

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Enhancing multiclass brain tumor diagnosis using SVM and innovative feature extraction techniques by Mustafa Basthikodi, M. Chaithrashree, B. M. Ahamed Shafeeq, Ananth Prabhu Gurpur

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Fast Analysis of Multi-Layered Anisotropic Electromagnetic Propagation Based on Z-Transform Finite-Difference Time-Domain Method with Scale-Compressed Technique by Yuxian Zhang, Yilin Kang, Xiaoli Feng, Lixia Yang, Zhixiang Huang

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An intelligent assessment of factors affecting new generations in the era of the internet and new media using intuitionistic hesitant fuzzy sugeno-weber aggregation operators by Yuxin Li, Yao Liu, Dan Zhao

“…We construct the MADM algorithm based on the developed theory, and some solve real-life numerical examples for assessment of factors affecting the new generations given the internet. …”
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A research framework for seismic slip distribution inversion considering atmospheric effects and deformation field downsampling by Xuedong Zhang, Ziqi Li, Cheng Peng, Shuguang He, Yaqi Zhang

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AI driven cardiovascular risk prediction using NLP and Large Language Models for personalized medicine in athletes by Ang Li, Yunxin Wang, Hongxu Chen

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MLRec: A Machine Learning-Based Recommendation System for High School Students Context of Bangladesh by Momotaz Begum, Mehedi Hasan Shuvo, Jia Uddin

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A Study on Distributed Multi-Sensor Fusion for Nonlinear Systems Under Non-Overlapping Fields of View by Liu Wang, Yang Zhou, Wenjia Li, Lijuan Shi, Jian Zhao, Haiyan Wang

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Digital and online symptom checkers and health assessment/triage services for urgent health problems: systematic review by Andrew Booth, Duncan Chambers, Anna J Cantrell, Maxine Johnson, Louise Preston, Susan K Baxter, Janette Turner

“…Diagnostic accuracy varied between different systems but was generally low. Algorithm-based triage tended to be more risk averse than that of health professionals. …”
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