Solar Flare Intensity Prediction With Machine Learning Models by Zhenbang Jiao, Hu Sun, Xiantong Wang, Ward Manchester, Tamas Gombosi, Alfred Hero, Yang Chen

Get full text

Research on House Price Prediction based on Machine Learning by Yang Xiangjun

“…This study aims to evaluate and compare the performance of various machine learning models on the task of house price prediction. …”
Get full text

A Comparison of Transfer Learning Models for Face Recognition by Devrim Akgün, Dalhm Alashammari

“…Unlike standard neural networks, SNNs learn to distinguish between pairs of inputs rather than individual inputs. …”
Get full text

Harvesting living labs outcomes through learning pathways by Astha Bhatta, Heleen Vreugdenhil, Jill Slinger

Subjects: “…Learning pathways…”
Get full text

Impact of Blended Learning Use On Agricultural Entrepreneurship Development by B. P Siriwardena, L. M Abeywickrama, A. L Sandika, N. P Vidanapathirana

“…Background: The combination of traditional in-person instruction with online learning components is known as blended learning. The higher education system benefits from blended learning. …”
Get full text

Gesture recognition approach based on learning sparse representation by Ling XIAO, Ren-fa LI, Fan-zai ZENG, Wei-lan QU

Subjects: Get full text

Statistical mechanics and machine learning of the α-Rényi ensemble by Andrew Jreissaty, Juan Carrasquilla

Get full text

A Survey of Differential Privacy Techniques for Federated Learning by Wang Xin, Li Jiaqian, Ding Xueshuang, Zhang Haoji, Sun Lianshan

Subjects: Get full text

Association Between Language Skills and Statistical Learning in Aphasia by Talat BULUT, Emine BAHAR

Subjects: “…auditory statistical learning…”
Get full text

Dynamic-budget superpixel active learning for semantic segmentation by Yuemin Wang, Ian Stavness

Subjects: Get full text

Maslow’s Hierarchy of Needs and Its Relation to Learning and Achievement by Sarah E. Burleson, Andrew C. Thoron

“…So how do we get our learners to focus on learning? Instructors can help learners satisfy needs, so the focus can be on content, learning, and achievement. …”
Get full text

Classification of Animal Behaviour Using Deep Learning Models by M. Sowmya, M. Balasubramanian, K. Vaidehi

Subjects: Get full text

Analysis of learning components in implementation of educational process in schools by Azka Widhiasti, Anggie Putri, Muhammad Adnan Fanani, Najwa Salim, Yandhy Rizky Kurnia

Subjects: “…learning components…”
Get full text

Active Learning for Constrained Document Clustering with Uncertainty Region by M. A. Balafar, R. Hazratgholizadeh, M. R. F. Derakhshi

Get full text

Unified regularity measures for sample-wise learning and generalization by Chi Zhang, Meng Yuan, Xiaoning Ma, Yu Liu, Haoang Lu, Le Wang, Yuanqi Su, Yuehu Liu

“…Abstract Fundamental machine learning theory shows that different samples contribute unequally to both the learning and testing processes. …”
Get full text

The clinical method as a learning content in the medicine career. by Luis Alberto Corona Martínez

“…The clinical method constitutes an important content in the learning process of the medical career. This article is aimed at reviewing the most essential aspects related to the topic in order to contribute to the deepening on this knowledge among professors students and professionals . …”
Get full text

Parents and Students' Response to Distance Learning (Google Classroom) by Novida Renoningtyas, Erna Risfaula Kusumawati

“…This study aims to determine the response of parents and primary students to distance learning based on google classroom during the Covid-19 pandemic. …”
Get full text

Teacher’s Challenges towards Online Learning in Pandemic Era by Elsa Rosalina, Nasrullah Nasrullah, Eka Puteri Elyani

“… The teaching and learning process has a big revolution since Corona Virus Disease 19 (COVID19) has spread out to the world. …”
Get full text

Optimizing hypertension prediction using ensemble learning approaches. by Isteaq Kabir Sifat, Md Kaderi Kibria

“…This study investigates how well ensemble learning techniques work to increase the accuracy of HTN prediction models. …”
Get full text

Survey on model inversion attack and defense in federated learning by Dong WANG, Qianqian QIN, Kaitian GUO, Rongke LIU, Weipeng YAN, Yizhi REN, Qingcai LUO, Yanzhao SHEN

Subjects: “…federated learning…”
Get full text