An Improved Image Processing Based on Deep Learning Backpropagation Technique by Yang Gao, Yue Tian

“…Using one algorithm of deep learning (DL), such as neural network backpropagation, increases the performance of encryption by learning the parameters and weights derived from the image itself. …”
Get full text

Privacy Auditing in Differential Private Machine Learning: The Current Trends by Ivars Namatevs, Kaspars Sudars, Arturs Nikulins, Kaspars Ozols

Subjects: “…differential private machine learning…”
Get full text

Analysis of sports management students’ opinions on project-based learning by Ahmet Şahin

Subjects: Get full text

Cryptocurrency Financial Risk Analysis Based on Deep Machine Learning by Si Chen

“…Development of deep learning algorithms opens the horizons for the development of electronic businesses that use digital currency. …”
Get full text

Features of using social networks in self-learning foreign languages by O. Shumskyi

Subjects: Get full text

Using Self-Efficacy and Reflection to Improve Piano Learning Performance by Suqi Dong, Genutė Gedvilienė

“…There are many influences on the piano playing learning process. Research on combining it with self-regulated learning (SRL) methods has rarely been reported. …”
Get full text

Detection of OSA Through the Application of Deep Learning on Polysomnography Data by Hasan Ulutas, Recep Sinan Arslan, Muhammet Emin Sahin, Halil Ibrahim Cosar, Cagri Arisoy, Ahmet Sertol Koksal, Mehmet Bakir, Bulent Ciftci

“…This paper presents a comprehensive study on the application of deep learning techniques to accurately detect sleep apnea. …”
Get full text

Antenna Optimization Based on Auto-Context Broad Learning System by Wei-Tong Ding, Fei Meng, Yu-Bo Tian, Hui-Ning Yuan

“…To enhance the efficiency of antenna optimization, surrogate model methods can usually be used to replace the full-wave electromagnetic simulation software. Broad learning system (BLS), as an emerging network with strong extraction ability and remarkable computational efficiency, has revolutionized the conventional artificial intelligence (AI) methods and overcome the shortcoming of excessive time-consuming training process in deep learning (DL). …”
Get full text

Deep learning for multi-modal data fusion in IoT applications by Anila Saghir, Anum Akbar, Asma Zafar, Asif Hassan

“…This research proposes a robust solution by fusing the multimodal data and employing a deep learning-based hybrid architecture that incorporates a generative model with a deep convolutional network. …”
Get full text

THE FLIPPED CLASSROOM: THE PRACTICE OF LEARNING ENGLISH FROM NURSING STUDENTS by Chairuddin Chairuddin, Arbaiyah Arbaiyah, Evi Zulida

Subjects: “…flipped classroom, language learning, speaking english.…”
Get full text

Instance Transfer Learning with Multisource Dynamic TrAdaBoost by Qian Zhang, Haigang Li, Yong Zhang, Ming Li

“…Since the transfer learning can employ knowledge in relative domains to help the learning tasks in current target domain, compared with the traditional learning it shows the advantages of reducing the learning cost and improving the learning efficiency. …”
Get full text

Node selection based on label quantity information in federated learning by Jiahua MA, Xinghua SUN, Wenchao XIA, Xijun WANG, Hongzhou TAN, Hongbo ZHU

Subjects: “…federated learning…”
Get full text

Successes and challenges of learning to support children post-COVID-19 by Megan Adams, Sanjuana Rodriguez, Karla Ramirez, Allison Garefino, Virginie Jackson

Get full text

Advanced Learning Technologies for Intelligent Transportation Systems: Prospects and Challenges by Ruhul Amin Khalil, Ziad Safelnasr, Naod Yemane, Mebruk Kedir, Atawulrahman Shafiqurrahman, NASIR SAEED

Subjects: Get full text

Application of concentrated learning technology in the professional training of forensic experts by D. V. Klymchuk, S. V. Ihnatov

“…The structure of concentrated learning as a technology of the pedagogical process, as well as the resources that can be released to increase the productivity of learning through the use of concentrated learning technology, have been studied. …”
Get full text

Prediction Interval of Interface Regions: Machine Learning Nowcasting Approach by Khaled Alielden, Enrico Camporeale, Marianna B. Korsós, Youra Taroyan

Get full text

A social media geolocation method based on comparative learning by Yongchang XU, Shiduo HUANG, Haojun AI

Subjects: Get full text

Eight quick tips for biologically and medically informed machine learning. by Luca Oneto, Davide Chicco

“…This integration has give rise to informed machine learning, in contrast to studies that lack domain knowledge and treat all variables equally (uninformed machine learning). …”
Get full text

Opening the Black Box of the Radiation Belt Machine Learning Model by Donglai Ma, Jacob Bortnik, Xiangning Chu, Seth G. Claudepierre, Qianli Ma, Adam Kellerman

“…Abstract Many Machine Learning (ML) systems, especially deep neural networks, are fundamentally regarded as black boxes since it is difficult to fully grasp how they function once they have been trained. …”
Get full text

HELPING YOUNG LEARNERS TO LEARN AUDIO DISCRIMINATION BY USING FLASHCARDS by Yansyah Yansyah

“…This article then tries to propose a classroom idea on how to help young learners learn audio discrimination by using flashcards. Audio discrimination is the ability to recognize the similarities and the differences among different sounds. …”
Get full text