A randomized trial of blended first aid education for the public

Subjects: “…e-learning…”
Get full text

A Collaborative Privacy Preserved Federated Learning Framework for Pneumonia Detection using Diverse Chest X-ray Data Silos by Shagun Sharma, Kalpna Guleria

Subjects: “…federated learning…”
Get full text

In-Service Teacher Professional Development: Challenges and Opportunities for Innovating the Trichronous Modality of Delivery in Vietnam’s EFL Education by Tuyen Van Nguyen, Helena Sit

Subjects: Get full text

Time series predictions in unmonitored sites: a survey of machine learning techniques in water resources by Jared D. Willard, Charuleka Varadharajan, Xiaowei Jia, Vipin Kumar

Subjects: “…deep learning…”
Get full text

Integrasi Etnopedagogi dalam Mengembangkan Model Pembelajaran Biologi by Iwan Setia Kurniawan, Rifki Survani

Subjects: Get full text

A Systematic Review of Self-directed Learning in Medical Education in Undergraduate Medical Students by Dharmendra Kumar Gupta, Arunima Chaudhuri, Dip Gaine

Subjects: Get full text

Lessons Learned by Yugoslav Military Experts from the Soviet Invasion of Afghanistan 1979-1981 by A. Y. Timofeev

Get full text

A machine learning and clustering-based approach for county-level COVID-19 analysis. by Charles Nicholson, Lex Beattie, Matthew Beattie, Talayeh Razzaghi, Sixia Chen

Get full text

Predicting the Number of Passengers in Public Transportation Areas Using the Deep Learning Model LSTM by Joko Siswanto, Sri Yulianto Joko Prasetyo, Sutarto Wijono, Evi Maria, Untung Rahardja

“…They are required by the planning and management authority for bus public transport. A deep learning-based LSTM prediction model is proposed to predict the number of passengers in 4 bus public transportation areas (central, north, south, and west), evaluated by MSLE, MAPE, and SMAPE with dropout, neuron, and train-test variations. …”
Get full text

Storylines from Newcomers’ Perspectives: The Complexities of Learning Mathematics in a Norwegian Introductory Class by Shanthi Gretta Pasanha, Annica Andersson, Beth Herbel-Eisenmann, Anita Movik Simensen

Subjects: Get full text

Deep learning-based prediction of mortality using brain midline shift and clinical information by An-Rong Wu, Sun-Yuan Hsieh, Hsin-Hung Chou, Cheng-Shih Lai, Jo-Ying Hung, Bow Wang, Yi-Shan Tsai

Subjects: Get full text

Integrating machine learning with mendelian randomization for unveiling causal gene networks in glioblastoma multiforme by Lixin Du, Pan Wang, Xiaoting Qiu, Zhigang Li, Jianlan Ma, Pengfei Chen

Subjects: Get full text

Applications and challenges in designing VHH-based bispecific antibodies: leveraging machine learning solutions by Michael Mullin, James McClory, Winston Haynes, Justin Grace, Nathan Robertson, Gino van Heeke

Subjects: Get full text

Retracted: Deep Learning-Based Detection and Identification Method for Sports Health Video Dissemination by Discrete Dynamics in Nature and Society

Get full text

Multistage System-Based Machine Learning Techniques for Intrusion Detection in WiFi Network by Vu Viet Thang, F. F. Pashchenko

“…The aim of machine learning is to develop algorithms that can learn from data and solve specific problems in some context as human do. …”
Get full text

Analyzing and forecasting under-5 mortality trends in Bangladesh using machine learning techniques. by Shayla Naznin, Md Jamal Uddin, Ishmam Ahmad, Ahmad Kabir

“…This study employs machine learning models, including Linear Regression, Ridge Regression, Lasso Regression, Bayesian Ridge, Decision Tree, Gradient Boosting, XGBoost, and CatBoost, to forecast future trends in under-5 mortality. …”
Get full text

Modeling students’ intentions to learn data science: Using an extended theory of planned behavior by Ram B. Basnet, David J. Lemay, Paul Bazelais

“…Knowledge Management & E-Learning: An International Journal…”
Get full text

Categorizing and Determining of BI-RAD Breast Cancer Score by Using Deep Learning Techniques by Azhar Kassem Flayeh, Ali Douik

“…This work utilized deep learning techniques and algorithms to accurately categorize breast cancer at 93%, 92%, 90%, and 93% for each category (C2, C3, C4, and C5). …”
Get full text

E-Commerce Fraud Detection Based on Machine Learning Techniques: Systematic Literature Review by Abed Mutemi, Fernando Bacao

Subjects: Get full text

Attention-enhanced corn disease diagnosis using few-shot learning and VGG16 by Ruchi Rani, Jayakrushna Sahoo, Sivaiah Bellamkonda, Sumit Kumar

Subjects: “…VGG16 integrated Attention Mechanism and Prototypical Few-Shot Learning for Corn Disease Classification…”
Get full text