Flight Delay Classification Prediction Based on Stacking Algorithm by Jia Yi, Honghai Zhang, Hao Liu, Gang Zhong, Guiyi Li

“…There are five supervised machine learning algorithms in the first-level learner of Stacking including KNN, Random Forest, Logistic Regression, Decision Tree, and Gaussian Naive Bayes. …”
Get full text

Compensating CBCT Motion Artifacts with Any 2D Generative Model by Yipeng Sun, Linda-Sophie Schneider, Mingxuan Gu, Siyuan Mei, Siming Bayer, Andreas K. Maier

“…Leveraging two-dimensional (2D) generative models while ensuring consistency between adjacent CBCT slices, our method addresses the limitations of traditional deep learning approaches that process each 2D slice of a three-dimensional (3D) volume independently. …”
Get full text

A CNN-Based Microwave Imaging System for Detecting Watermelon Ripeness by Zachary M. Choffin, Lingyan Kong, Yu Gan, Nathan Jeong

“…The integration of a non-invasive microwave imaging system with a machine learning algorithm could improve food quality and food safety. …”
Get full text

Model-Based ILC with a Modified Q-Filter for Complex Motion Systems: Practical Considerations and Experimental Verification on a Wafer Stage by Fazhi Song, Yang Liu, Jun Cao, Li Li, Jiubin Tan

“…Iterative learning control (ILC) is one of the most popular tracking control methods for systems that repeatedly execute the same task. …”
Get full text

Promoting children’s wellbeing in an educational context by Linda Grīga

“…It is very important already at the early stage to understand that each child is different; they have different physical and emotional development, individual characteristics, as well as a different approach to understanding and learning things. Therefore, in the primary school it is important for the teachers to create a positive, highly social, interactive and creative environment so that the children can develop and learn more successfully. …”
Get full text

UTILIZING SENTANI FOLKTALES TO TEACH SPEAKING FOR CHILDREN OF COMMUNAL AGENTS IN JAYAPURA REGENCY, PAPUA by Wigati Yektiningtyas, Juwita Purnamasari Br.Ginting

“…To keep motivating them learning, it needs more interesting and challenging materials. …”
Get full text

Strategi pendidikan keaksaraan lanjutan berbasis potensi lokal by Mukhlis Mukhlis, Listyaningrum Listyaningrum, I Made Sumartana, I Gusti Bagus Rai Utama

“…This study aims to (1) identify literacy programs that have been running independently in Limbung Village. (2) Determine strategies that can be carried out as additional content in the implementation of advanced literacy learning programs based on the local potential of Limbung Village. …”
Get full text

Employing Kirkpatrick’s framework to evaluate nurse training: an integrative review by Fernanda Maria de Miranda, Bruna Vasconcelos dos Santos, Vicki Leigh Kristman, Vivian Aline Mininel

“…The majority evaluated the four levels proposed in the model (reaction, learning, behavior, and results) or, at least, a combination of the first three ones. …”
Get full text

Unveiling the Dynamics of Extrinsic Motivations in Shaping Future Experts’ Contributions to Developer Q&A Communities by Yi Yang, Xinjun Mao, Menghan Wu

“…To address this gap, we propose a motivational impact model with self-determination theory-based hypotheses to explore the impact of five extrinsic motivations (badge, status, learning, reputation, and reciprocity) for potential experts. …”
Get full text

Redefining Creativity and Well-being: A Feasibility Study for a New Course at a Small Liberal Arts College in Japan by Lee Friederich, Yuko Taniguchi, Naoko Araki, Naeko Naganuma, Joel Friederich, Kathryn R. Cullen

“…The article includes a case study of one student’s learning journey to synthesize quantitative and qualitative findings. …”
Get full text

Evaluation of the Toddler Family Development Activity Group by Selvie Nofriani Tansile, Finta Amalinda

“…The results showed that to evaluate the learning itself, if the scope of the family involved cadres, the evaluation was carried out by posyandu activities at the end of the month. …”
Get full text

Convolutional Recurrent Neural Network for Fault Diagnosis of High-Speed Train Bogie by Kaiwei Liang, Na Qin, Deqing Huang, Yuanzhe Fu

“…Notice that convolutional neural networks (CNNs) are powerful in extracting high-level local features and that recurrent neural networks (RNNs) are capable of learning long-term context dependencies in vibration signals. …”
Get full text

Improving person re-identification based on two-stage training of convolutional neural networks and augmentation by S. A. Ihnatsyeva, R. P. Bohush

“…The use of two-stage learning technology and the proposed data augmentation method made it possible to increase the person re-identification accuracy for different CNNs and datasets: in the Rank1 metric  by 4–21 %; in the mAP by 10–31 %; in the mINP by 39–60 %.…”
Get full text

Exploring activist perspectives on Indigenous-settler solidarity in Toronto’s food sovereignty movement by Taliya Seidman-Wright, Sarah Rotz

“…Our findings reveal that many settler food activists are engaging in (un)learning processes, building decolonizing relationships, and supporting greater Indigenous leadership at their organizations. …”
Get full text

GA-Attention-Fuzzy-Stock-Net: An optimized neuro-fuzzy system for stock market price prediction with genetic algorithm and attention mechanism by Burak Gülmez

“…Genetic algorithms optimize the hyperparameters, including learning rates and network architectures, while the attention mechanism enhances the model's ability to focus on relevant temporal patterns. …”
Get full text

A Novel Multi-Level Perceptron for Accurate Heart Stroke Diagnosis by Muhammad Zaman, Muhammad Khubaib, Tanzila Kahkashan, Anam Zahoor, Narges Shahbaz, Shahzad Shoukat, Fahma Nisar

“…Different types of Machine Learning and deep learning algorithms are used for heart stroke predictions. …”
Get full text

Improved Set-point Tracking Control of an Unmanned Aerodynamic MIMO System Using Hybrid Neural Networks by Oduetse Matsebe, David Mohammed Ezekiel, Ravi Samikannu

“…The training features use the Matlab Deep Learning Toolbox. The NARX structure has its core in the neural networks’ architecture. …”
Get full text

Teaching materials to improve the teaching of Clinical Pharmacology by Liset Jiménez Fernández, Zoila Armada Esmoris, Laura Adalys Guillen León, Juan Miguel Chala Tandrón, Melba Zayas González, Alianys Izaguirre Artiles

“…Background: teaching materials are one of the components of the teaching-learning process that support the teaching methods in order to achieve the objectives. …”
Get full text

Robust Face Detection and Identification under Occlusion using MTCNN and RESNET50 by Eiman Wahab, Wajeeha Shafique, Habiba Amir, Sameena Javed, Muhammad Marouf

“…By leveraging the capabilities in the deep learning algorithms, this project provides a robust solution for automating the recognition of partially occluded faces. …”
Get full text

An Exponentially Converging Particle Method for the Mixed Nash Equilibrium of Continuous Games by Wang, Guillaume, Chizat, Lénaïc

“…This problem arises for example in game-theory-inspired machine learning applications, such as distributionally-robust learning. …”
Get full text