STUDENT SUPPORT AND MOTIVATION IN ONLINE LEARNING: EVIDENCE FROM PILOT ONLINE COURSE IMPLEMENTATION by Rasa Tamulienė, Alina Liepinaitienė, Edvinas Ignatavičius

Subjects: “…online learning…”
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MAL-Net: Model-Adaptive Learned Network for Slow-Time Ambiguity Function Shaping by Jun Wang, Xiangqing Xiao, Jinfeng Hu, Ziwei Zhao, Kai Zhong, Chaohai Li

“…Furthermore, we observe that the gradient descent model over the CCM can be unfolded as a Deep Learning (DL) network. Therefore, byeveraging the powerfulearning ability of DL and the CCM gradient descent model, we propose a Model-Adaptive Learned Network (MAL-Net) method without relaxation. …”
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Relaxing the confirmatory factor model in the Big Five: Exploratory, Bayesian, and machine learning approaches by Jacob S. Gray

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Synthetic Computed Tomography generation using deep-learning for female pelvic radiotherapy planning by Rachael Tulip, Sebastian Andersson, Robert Chuter, Spyros Manolopoulos

“…Synthetic Computed Tomography (sCT) is required to provide electron density information for MR-only radiotherapy. Deep-learning (DL) methods for sCT generation show improved dose congruence over other sCT generation methods (e.g. bulk density). …”
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Evaluating the Constructive Alignment of Learning Objectives Within Haptics Simulation in the Dental Undergraduate Curriculum by Susha Rajadurai, Tapan Hebballi, Zahra Sharif, Guneet Kaur Kukreja, Ithar Derdour

“…The study outlines the importance of visibility of learning outcomes to encourage learning and achieving desired outcomes.…”
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Machine learning of Antarctic firn density by combining radiometer and scatterometer remote-sensing data by W. Li, S. B. M. Veldhuijsen, S. Lhermitte, S. Lhermitte

“…Hence, we investigate the potential of a non-linear random forest (RF) machine learning approach trained on radiometer and scatterometer data to derive the spatial and temporal variations in dry-firn density. …”
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Transforming English language learning: Advanced speech recognition with MLP-LSTM for personalized education by Myagmarsuren Orosoo, Namjildagva Raash, Mark Treve, Hassan Fareed M. Lahza, Nizal Alshammry, Janjhyam Venkata Naga Ramesh, Manikandan Rengarajan

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Machine Learning-Driven Adaptive Modulation for VLC-Enabled Medical Body Sensor Networks by Reza Bayat Rizi, Amir R. Forouzan, Farshad Miramirkhani, Mohamad F. Sabahi

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Feasibility and acceptability of a virtual learning module for navigating angry conversations in clinical encounters by Valerie Shilling, Rachel Starkings, Lesley Fallowfield

Subjects: “…Virtual learning…”
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Context aware machine learning techniques for brain tumor classification and detection – A review by Usman Amjad, Asif Raza, Muhammad Fahad, Doaa Farid, Adnan Akhunzada, Muhammad Abubakar, Hira Beenish

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Screening of serum biomarkers in patients with PCOS through lipid omics and ensemble machine learning by Ji-ying Chen, Wu-jie Chen, Zhi-ying Zhu, Shi Xu, Li-lan Huang, Wen-qing Tan, Yong-gang Zhang, Yan-li Zhao

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Data Homogeneity Effect in Deep Learning-Based Prediction of Type 1 Diabetic Retinopathy by Jui-En Lo, Eugene Yu-Chuan Kang, Yun-Nung Chen, Yi-Ting Hsieh, Nan-Kai Wang, Ta-Ching Chen, Kuan-Jen Chen, Wei-Chi Wu, Yih-Shiou Hwang, Fu-Sung Lo, Chi-Chun Lai

“…This study is aimed at evaluating a deep transfer learning-based model for identifying diabetic retinopathy (DR) that was trained using a dataset with high variability and predominant type 2 diabetes (T2D) and comparing model performance with that in patients with type 1 diabetes (T1D). …”
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Modified MobileNetV2 transfer learning model to detect road potholes by Neha Tanwar, Anil V. Turukmane

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ANALYSIS OF ORGANISATIONAL PERFORMANCE OF NON-PROFIT INSTITUTIONS: THE CASE OF LIFELONG LEARNING INSTITUTIONS IN CROATIA by Zoran Mihanović, Jurica Pavičić, Nikša Alfirević

Subjects: “…institutions of lifelong learning…”
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Pengembangan Media Pembelajaran Matematika Electronic Snake and Ladder Pada Game-Based Learning by Arif Achmad Syaikhu, Yuniar Ika Putri Pranyata, Trija Fayeldi

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Automated Fillet Weld Inspection Based on Deep Learning from 2D Images by Ignacio Diaz-Cano, Arturo Morgado-Estevez, José María Rodríguez Corral, Pablo Medina-Coello, Blas Salvador-Dominguez, Miguel Alvarez-Alcon

“…The object detection method follows a geometric deep learning model based on convolutional neural networks. …”
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Innovative Deep Learning Architecture for the Classification of Lung and Colon Cancer From Histopathology Images by Menatalla M. R. Said, Md. Sakib Bin Islam, Md. Shaheenur Islam Sumon, Semir Vranic, Rafif Mahmood Al Saady, Abdulrahman Alqahtani, Muhammad E. H. Chowdhury, Shona Pedersen

“…However, with substantial technological advancements, deep learning (DL) has emerged as a potent tool in clinical settings, particularly in the realm of medical imaging. …”
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A machine learning based variable selection algorithm for binary classification of perinatal mortality by Maryam Sadiq, Ramla Shah

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Predictive Modeling of Volume and Biomass in Pinus pseudostrobus Using Machine Learning and Allometric Approaches by Pablo Antúnez, Christian Wehenkel, Erickson Basave-Villalobos, Celi Gloria Calixto-Valencia, César Valenzuela-Encinas, Faustino Ruiz-Aquino, David Sarmiento-Bustos

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Discovering patient groups in sequential electronic healthcare data using unsupervised representation learning by Jingteng Li, Kimberley R. Zakka, John Booth, Louise Rigny, Samiran Ray, Mario Cortina-Borja, Payam Barnaghi, Neil Sebire

“…Abstract Introduction Unsupervised feature learning methods inspired by natural language processing (NLP) models are capable of constructing patient-specific features from longitudinal Electronic Health Records (EHR). …”
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