Machine learning algorithm based on combined clinical indicators for the prediction of infertility and pregnancy loss by Rui Zhang, Yuanbing Guo, Xiaonan Zhai, Juan Wang, Xiaoyan Hao, Liu Yang, Lei Zhou, Jiawei Gao, Jiayun Liu

“…Three methods were used for screening 100+ clinical indicators, and five machine learning algorithms were used to develop and evaluate diagnostic models based on the most relevant indicators.ResultsMultivariate analysis revealed significant differences in several factors between the patients and the control group. 25-hydroxy vitamin D3 (25OHVD3) was the factor exhibiting the most prominent difference, and most patients presented deficiency in the levels of this vitamin. 25OHVD3 is associated with blood lipids, hormones, thyroid function, human papillomavirus infection, hepatitis B infection, sedimentation rate, renal function, coagulation function, and amino acids in patients with infertility. …”
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Optimizing resource allocation in industrial IoT with federated machine learning and edge computing integration by Ala'a R. Al-Shamasneh, Faten Khalid Karim, Yu Wang

“…Furthermore, the study presents a multi-tier federated edge learning architecture that integrates cloud collaboration with edge servers to manage the increasing number of industrial devices and the demand for timely local model training. …”
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Machine Learning Adoption in Blockchain-Based Smart Applications: The Challenges, and a Way Forward by Sudeep Tanwar, Qasim Bhatia, Pruthvi Patel, Aparna Kumari, Pradeep Kumar Singh, Wei-Chiang Hong

“…At last, a case study is presented with a conclusion.…”
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Aprendizaje de la Historia y Simulación Educativa / The Learning of History and Educational Simulation by Jesús Valverde Berrocoso

“…The fundamental purpose of learning History is that students acquire the knowledge and attitudes necessary to understand the reality of the world they live in, the collective experiences past and present, as well as the space in which life develops in society. …”
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The Model of Fundamental Chemical Training of Bachelors of Technical and Technological Directions in the Conditions of Blended Learning by N. M. Vostrikova

“…An e-learning course based on videoconferencing and Web 2.0 technologies allows teachers to efficiently integrate classroom and independent work of students and to upgrade lectures and practicals. …”
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Comparison of machine learning models for mucopolysaccharidosis early diagnosis using UAE medical records by Aamna AlShehhi, Hiba Alblooshi, Ruba Fadul, Natnael Tumzghi, Amal Al Tenaiji, Mariam Al Harbi, Fatma Al-Jasmi

“…Abstract Rare diseases, such as Mucopolysaccharidosis (MPS), present significant challenges to the healthcare system. …”
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APPLICATION OF MACHINE LEARNING ALGORITHMS TO EVALUATE THE UCI DATABASE IN THE CLASSIFICATION OF AUTISM SPECTRUM DISORDERS by Phạm Quang Thuận, Nguyễn Đình Thuân

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Needs analysis of remote interpreting learning for Chinese trainee interpreters under COVID-19 by Taojie Yin, Chengming Gao

“…This article presents a study on the enhancement of communication within online interpreting education, addressing the integration gap of needs analysis and remote learning strategies. …”
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Information Technology-Integrated Curriculum and Distance Learning During COVID-19 Pandemic in Preschool by Yu-Fang Huang, Poh-Hwa Liang

“…The following research results are presented: (1) preschool teachers’ implementation of the information technology-integrated curriculum before the pandemic, (2) preschool teachers’ implementation of distance education during the pandemic, and (3) parents’ views on the implementation of the information technology-integrated curriculum and distance learning.…”
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Multitask Learning-Based Pipeline-Parallel Computation Offloading Architecture for Deep Face Analysis by Faris S. Alghareb, Balqees Talal Hasan

“…Therefore, this manuscript explores levels of parallelism techniques along with edge computation offloading to develop an innovative hardware platform that improves the efficacy of deep learning computing architectures. Furthermore, the multitask learning (MTL) approach is employed to construct a parallel multi-task classification network. …”
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Cooperate or Not Cooperate: Transfer Learning With Multi-Armed Bandit for Spatial Reuse in Wi-Fi by Pedro Enrique Iturria-Rivera, Marcel Chenier, Bernard Herscovici, Burak Kantarci, Melike Erol-Kantarci

“…Under dynamic scenarios, transfer learning mitigates service drops for at least 60% of the total users.…”
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Handwritten Urdu Characters and Digits Recognition Using Transfer Learning and Augmentation With AlexNet by Aqsa Rasheed, Nouman Ali, Bushra Zafar, Amsa Shabbir, Muhammad Sajid, Muhammad Tariq Mahmood

“…The purpose of this research is to present a classification framework for automatic recognition of handwritten Urdu character and digits with higher recognition accuracy by utilizing theory of transfer learning and pre-trained Convolution Neural Networks (CNN). …”
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Distance Learning For Military Doctors in Crisis Situations: The DILEMMA Cross-Sectional Study Results by Nataliia Sydorova, Valerii Savytskyi, Taras Kuts

“…Methods: The data presented reflect the results of 147 trainees’ survey dedicated to their satisfaction and ways to improve distance learning component of training/retraining at UMMA during such crisis situations as pandemics and hostilities. …”
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Electromyogram based muscle stress estimation of Gastrocnemius medialis using Machine learning algorithms by Amol Kumar, Manoj Duhan, Poonam Sheoran

“… Surface electromyography (sEMG) is the primary technique for recording muscle activity by capturing the electrical signal from the muscles. The present study has been undertaken to analyze lower limb muscle stress of gastrocnemius medialis without and with a workout (exercise) using machine learning algorithms. …”
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Teachers' Perception of the Challenges of teaching self-regulated Learning in the classroom: A Phenomenological Study by Azadeh Momeni, Hossein kareshki, Maryam Bordbar

“…According to the teachers' point of view, a set of qualifications for teaching self-regulated learning is necessary for teachers to teach self-regulated learning, and these qualifications are insufficient in teachers.The second theme of the findings of the present study is "student deficiencies", which is consistent with the results of Yilmaz and Akyildiz's study (Yilmaz & Akyildiz, 2023). …”
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Applying a Machine Learning Method to Detect Changing Neuronal Activity in Seizure Disorders by Cengiz Gunay, Krishan Bhalsod

“… This study aims to use machine learning to find miniature excitatory postsynaptic currents (EPSCs) in neurons of a Drosophila to find behavior markers of a seizure. …”
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Feasibility of Using Wavelet Analysis and Machine Learning Method in Technical Diagnosis of Car Seats by Cezary BARTMAŃSKI, Alicja BRAMORSKA

“…This paper presents the results of preliminary research aimed at developing a method for rapid, noncontact diagnostics of the electric drive of car seats. …”
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A Study of Verbal Reasoning and ESL Vocabulary Learning from a Psycholinguistic Perspective by Imane LAMRI

“…   The present study is mainly interested in finding out the impact of verbal reasoning abilities; more precisely that of lexical inference,in improving ESLvocabulary learning. …”
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Skype™ Conference Calls: A Way to Promote Speaking Skills in the Teaching and Learning of English by Yeferson Romaña Correa

“…This article presents the results of a research project on the teaching and learning of English through the use of Skype™ conference calls. …”
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HOW GENERATIVE AI AUTONOMOUS AGENTS SHAPE THE CURRENT BUSINESS TRENDS AND SMART LEARNING by Josef Daněk, Jan Pospíšil

“…Several use cases from marketing, accounting, regulations, financial analysis and business intelligence will be presented. In the context of smart learning, the paper highlights the role of GenAI agents in creating personalized educational environments, enabling adaptive learning, and facilitating content creation. …”