Impact of Feedback in Flipped Learning on the Development of Soft Skills of University Students by Ricardo Sanchez-Gil-Machín, Salvador Baena Morales, Nuria Molina-García, Alberto Ferriz-Valero

Subjects: “…active learning…”
Get full text

Deep learning-based system for prediction of work at height in construction site by Ibrahim Karatas

Subjects: Get full text

Lessons to be Learned for Gastroenterology from Recent Issues in Clinical Trial Methodology by C Ohmann, J Albrecht

Get full text

Capturing the moment: facilitating learning from the margins. A photographic essay by Kevin J. Brazant

“…Journal of Learning Development in Higher Education…”
Get full text

Computer assisted language learning in English language classrooms in Bosnia and Herzegovina by Džanić Nihada Delibegović, Hasanspahić Amila

Subjects: “…computer-assisted language learning…”
Get full text

A Comprehensive Analysis of Supervised Learning Techniques for Electricity Theft Detection by Farah Aqilah Bohani, Azizah Suliman, Mulyana Saripuddin, Sera Syarmila Sameon, Nur Shakirah Md Salleh, Surizal Nazeri

“…However, comparative studies on supervised learning methods for electricity theft detection are still insufficient. …”
Get full text

Holographic reconstruction of black hole spacetime: machine learning and entanglement entropy by Byoungjoon Ahn, Hyun-Sik Jeong, Keun-Young Kim, Kwan Yun

“…To validate our approach, we first apply our machine learning algorithm to holographic entanglement entropy data derived from the Gubser-Rocha and superconductor models, which serve as representative models of strongly coupled matters in holography. …”
Get full text

A Novel Dictionary Learning Model with PT-HLBP for Palmprint Recognition by Xiumei Guo, Weidong Zhou

“…A novel projective dictionary pair learning (PDPL) model with statistical local features for palmprint recognition is proposed. …”
Get full text

Bayesian Classifier with Simplified Learning Phase for Detecting Microcalcifications in Digital Mammograms by Imad Zyout, Ikhlas Abdel-Qader, Christina Jacobs

“…This proposed work extracts textural, spectral, and statistical features of each input mammogram and generates models of real MCs to be used as training samples through a simplified learning phase of the Bayesian classifier. Followed by an estimation of the classifier's decision function parameters, a mammogram is segmented into the identified targets (MCs) against background (healthy tissue). …”
Get full text

Improved Deep Learning Method for Intelligent Analysis of Sports Training Posture by Xianyou Yan

“…Considering the causality of human movement, this paper proposes an improved deep learning method for posture analysis in sports training. …”
Get full text

MARPUF: physical unclonable function with improved machine learning attack resistance by Somanath Tripathy, Vikash Kumar Rai, Jimson Mathew

Subjects: Get full text

Lessons Learned from Van Earthquake in the Context of Urban Environment and Health by Bilge Kalanlar

“…In this context the aim of this study is to address the problems observed in Van earthquake and lessons learned in terms of the urban environment and health. …”
Get full text

Transportation Mode Selection Using Reinforcement Learning in Simulation of Urban Mobility by Mehmet Bilge Han Taş, Kemal Özkan, İnci Sarıçiçek, Ahmet Yazici

Subjects: Get full text

An Overview of Application of Machine Learning Models in Urban Flood Simulation and Forecasting by CHEN Zeming, FANG Xuhong, LI Jiaye, WANG Mengyao, CHEN Aifang, YIN Ling

Subjects: Get full text

Internet of Things Optimal Routing based on Markov-Reinforcement Learning Algorithm by Jamal M.Ali Radha, Raza Y. Abdulrahman

Subjects: “…Markov Reinforcement Learning (MRL)…”
Get full text

Integrating Machine Learning and Material Feeding Systems for Competitive Advantage in Manufacturing by Müge Sinem Çağlayan, Aslı Aksoy

Subjects: Get full text

Heavy and Lightweight Deep Learning Models for Semantic Segmentation: A Survey by Cristina Carunta, Alina Carunta, Calin-Adrian Popa

Subjects: “…Complex deep learning models…”
Get full text

Learning Discriminative Salient LBP for Cloud Classification in Wireless Sensor Networks by Shuang Liu, Zhong Zhang

“…The proposed method is a two-layer model for learning discriminative patterns. The first layer is designed to learn the most salient and robust patterns from each class, and the second layer is used to obtain features with discriminative power and representation capability. …”
Get full text

A Case of False Negative NIPT for Down Syndrome-Lessons Learned by Meagan Smith, Kimberly M. Lewis, Alexandrea Holmes, Jeannie Visootsak

Get full text

Learning interventions and training methods in health emergencies: A scoping review. by Heini Utunen, Giselle Balaciano, Elham Arabi, Anna Tokar, Aphaluck Bhatiasevi, Jane Noyes

“…Providing "just in time" support and opportunities for learning in health emergencies is much needed for capacity building. …”
Get full text