SEM Deep Learning Multiclass Noise Level Classification With Data Augmentation by Kai Liang Lew, Kok Swee Sim, Shing Chiang Tan

Subjects: “…Scanning electron microscopy (SEM)…”
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SemFedXAI: A Semantic Framework for Explainable Federated Learning in Healthcare by Alba Amato, Dario Branco

“…We evaluated SemFedXAI within the context of e-health, reporting noteworthy advancements in explanation quality and predictive performance compared to conventional federated learning methods. …”
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The AI-knowledge management nexus for sustainable learning: A PLS-SEM study by Sashi Ranjan, V. P. Joshith, K. Kavitha, Shana Chittakath

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Deep learning for air pollution detection: Analyzing scots pine needles with SEM/EDS by Mirosław Szwed, Witold Żukowski, Dariusz Pasieka

“…The system enhances pollutant classification by incorporating SEM imagery combined with EDS for chemical characterization. …”
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Hybrid learning in post-pandemic higher education systems: an analysis using SEM and DNN by Alvin Muhammad ‘Ainul Yaqin, Ahmad Kamil Muqoffi, Sigit Rahmat Rizalmi, Faishal Arham Pratikno, Remba Yanuar Efranto

“…The COVID-19 pandemic significantly impacted higher education systems, leading many institutions to adopt hybrid learning models. This research investigates the relevance of hybrid learning methods in the post-pandemic education context using structural equation modeling (SEM) and deep neural network (DNN) approaches. …”
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Adaptation of School Engagement Measurement-MacArthur (SEM) Indonesian Version in the Context of Distance Learning by Dhiya Zanira, Surya Cahyadi

Subjects: “…school engagement measurement-macarthur (sem)…”
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Entrepreneurial values and circular economy adoption: A cross-lagged SEM-based machine learning study by Tahseen Anwer Arshi, Joseph Wallis

“…Embedded within a norm activation model (NAM) and informed by value-belief-norm theory (VBN), the study builds on cross-lagged data (n=477) to explain the clash between dominant self-advancing entrepreneurial values and CE strategies. Findings: The SEM-based machine-learning test results predicted that entrepreneurial hedonic and egoistic values complemented by hedonic and egoistic consumption reciprocally drive linearity rather than circularity within entrepreneurship. …”
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Accurate segmentation of localized fuel cladding chemical interaction layers in SEM micrographs with deep learning method by Liang Zhao, Yachun Wang, Fei Xu

“…We deployed and compared state-of-the-art deep learning models for the task of FCCI layer segmentation in SEM micrographs. …”
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Hybrid machine learning and regression framework for automated phase classification and quantification in SEM images of commercial steels by Pavan Hiremath, Krishnamurthy D. Ambiger, Shilpa Suresh, Ranjan Kumar Ghadai, Ramakrishna Vikas Sadanand, G. Divya Deepak

“…Abstract This study presents an integrated framework combining supervised classification and composition-driven regression modeling for automated phase identification and quantification in steel microstructures. SEM micrographs of three commercially used steels EN3, EN353, and 20MnCr5 were acquired at magnifications of 5000×, 10,000×, and 20,000×. …”
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Quantitative characterization of fracture surfaces of granite specimens under triaxial extension using SEM and deep learning by Zida Liu, Diyuan Li, Zong-Xian Zhang, Chenxi Zhang, Quanqi Zhu

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Analyzing Citizens’ Perception and Attitudes Towards Housing Development in Norwalk Through SEM and Machine Learning Methods by Hamid Mostofi, Brian Bidolli, Thomas Livingston

“…This study analyzed citizens’ subjective perceptions and attitudes toward housing development in Norwalk, Connecticut, employing structural equation modeling (SEM) and machine learning techniques. A survey of 580 residents was conducted to study the relationship between the willingness to buy or rent from housing projects in Norwalk and perceptions of risks, benefits, and sustainability beliefs. …”
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The limits of learning engagement and academic leadership within the higher education digitalization process - analysis by using PLS SEM. by Ioana Gutu, Camelia Nicoleta Medeleanu, Romeo Asiminei

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The Effects of Servitization, Digitalization, and Digital Learning Orientation on Sustainable Performance: A Hybrid PLS-SEM-ANN Model by Xiaoxia Wu, Yunkai Tang, Xin Fang, Yueling Xu, Sijia Qiao

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Factors influencing students' attitude toward to use mobile learning applications using SEM-ANN hybrid approach by Romel Al-Ali, Rima Shishakly, Mohammed Amin Almaiah, Rami Shehab

“… Mobile learning application now is considered a powerful application for learning and was adopted in universities in the period of Covid-19. …”
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PODCAST-BASED LEARNING: EVALUATING THE SUCCESS OF LEARNING MEDIA DEVELOPMENT IN VOCATIONAL EDUCATION by R Eka Murtinugraha, Shilmi Arifah, Rosmawita Saleh, Riyan Arthur, Nindya Reza Ostiyani

“…In addition, this study's results can enrich the literature on applying the PLS-SEM model in evaluating technology-based learning media in higher education environments.…”
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Metaverse Banking Service: Are We Ready to Adopt? A Deep Learning-Based Dual-Stage SEM-ANN Analysis by Luan-Thanh Nguyen, Dang Thi Viet Duc, Tri-Quan Dang, Dang Phong Nguyen

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Hybrid SEM-ANN model for predicting undergraduates' e-learning continuance intention based on perceived educational and emotional support. by Shanshan Xu, Yangxin Wang, Wenbo Luo

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STRUCTURAL EQUATION MODELLING (SEM) BASED ASSESSMENT OF STUDENTS' M-LEARNING BEHAVIOURAL ADOPTION USING AN EXTENDED-SIMPLIFIED TAM by Parveen Singh Kalsi, Rajveer Kaur

Subjects: “…m-learning…”
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A Voxelized Transformer-Based Neural Network for 3D Reconstruction From Multi-Energy SEM Backscattered Electrons by Caizhi Zheng, Ronghan Hong, Hao-Jie Hu, Qing Huo Liu

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Model Semantic Attention (SemAtt) With Hybrid Learning Separable Neural Network and Long Short-Term Memory to Generate Caption by Agus Nursikuwagus, Rinaldi Munir, Masayu L. Khodra, Deshinta Arrova Dewi

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