Link Scheduling in Satellite Networks via Machine Learning Over Riemannian Manifolds by Joarder Jafor Sadique, Imtiaz Nasim, Ahmed S. Ibrahim

“…We introduce two machine learning (ML)-based link scheduling techniques that model the dynamic evolution of satellite positions and link conditions over time and space. …”
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Retracted: Deep Learning for Decision Element Extraction in Fact Description of Legal Documents by Advances in Multimedia

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Hardware Efficient Speech Enhancement With Noise Aware Multi-Target Deep Learning by Salinna Abdullah, Majid Zamani, Andreas Demosthenous

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Organoid intelligence: training lab-grown mini-brains to learn and compute with AI by L. R. Jaidev Chakka, Mohammed Maniruzzaman

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Nutritional intake of micronutrient and macronutrient and type 2 diabetes: machine learning schemes by Mohammad Rashidmayvan, Amin Mansoori, Elahe Derakhshan-Nezhad, Davoud Tanbakuchi, Fatemeh Sangin, Maryam Mohammadi-Bajgiran, Malihehsadat Abedsaeidi, Sara Ghazizadeh, MohammadReza Mohammad Taghizadeh Sarabi, Ali Rezaee, Gordon Ferns, Habibollah Esmaily, Majid Ghayour-Mobarhan

“…We aimed to investigate the relationship between intake of macro/micronutrients and the incidence of type 2 diabetes (T2D) using logistic regression (LR) and a decision tree (DT) algorithm for machine learning. Method Our research explores supervised machine learning models to identify T2D patients using the Mashhad Cohort Study dataset. …”
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Impact of Phenomenon-Based Learning on High School Physics Education in Shymkent, Kazakhstan by Bayan Ualikhanova, Ganya Ormanova, Dauletbay Berdaliyev, Nurken Mussakhan, Bakdaulet Anas, Ertan Güdekli

“…This study aims to examine the beneficial effects of using phenomenon-based learning (PhBL) as a pedagogical approach for teaching physics to high school students in Shymkent, the Republic of Kazakhstan. …”
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Inclusive Online Nursing Education: Learner Perceptions of Universal Design for Learning Approaches by Ann Celestini, Agniewszka (Aga) Palalas

Subjects: “…Universal Design for Learning…”
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Machine learning and spatio-temporal analysis of meteorological factors on waterborne diseases in Bangladesh. by Arman Hossain Chowdhury, Md Siddikur Rahman

“…Exploratory spatial analysis, spatial regression and tree-based machine learning models were utilized to analyze the data.<h4>Results</h4>From 2017 and 2020, Bangladesh reported 73, 606 cholera, 38, 472 typhoid, 2, 510 hepatitis A and 1, 643 amoebiasis disease cases. …”
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Deep Learning Techniques for Peer-to-Peer Physical Systems Based on Communication Networks by Ajay. P, Nagaraj. B, Ruihang Huang

“…This study focuses on various deep learning strategies used in peer-to-peer communication networks. …”
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Geographical education through Problem-Based Learning: essay in two portuguese schools by Francisco Buzaglo, Eduardo Lopes

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Teachers' perceptions of challenges in online learning: Voices from secondary EFL teachers by Dwi Bayu Saputra, Honesty Yonanda Ayudhia, Reci Muswari

Subjects: “…online learning…”
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Finding the Intersection of Neuroplasticity, Stroke Recovery, and Learning: Scope and Contributions to Stroke Rehabilitation by Leeanne Carey, Alistair Walsh, Achini Adikari, Peter Goodin, Damminda Alahakoon, Daswin De Silva, Kok-Leong Ong, Michael Nilsson, Lara Boyd

“…Neural plastic changes are experience and learning dependent, yet exploiting this knowledge to enhance clinical outcomes after stroke is in its infancy. …”
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A Multiple-detection-heads Machine Learning Algorithm for Detecting White Dwarfs by Jiangchuan Zhang, Yude Bu, Mengmeng Zhang, Duo Xie, Zhenping Yi

“…In recent years, machine learning has played a significant role in astronomical data mining, due to its speed, real time, and precision. …”
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Aggregating, Summarizing, and Restructuring News-Related Tweets into Compositions Using Deep Learning by Richa Sharma, Anjali Thukral, Yatin Kapoor, Ashwani Varshney, Punam Bedi

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Prediction of the Loss of Feed Water Fault Signatures Using Machine Learning Techniques by Anselim M. Mwaura, Yong-Kuo Liu

“…The inherent limitations of the current fault diagnosis methods make machine learning techniques and their hybrid methodologies possible solutions to remedy this challenge. …”
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Clinically oriented automatic three-dimensional enamel segmentation via deep learning by Wenting Yu, Xinwen Wang, Huifang Yang

Subjects: “…Deep learning…”
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The third space professional: cultivating authentic learning experiences through collaborative practice by Kate Murray

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Use of Remote Access Technologies and WebLabs as Teaching-Learning Strategy in Engineering by Wânderson de Oliveira Assis, Alessandra Dutra Coelho

“…The proposal is to demonstrate tools that can be used to allow teaching mediated by technologies, with their benefits and limitations, considering the need to carry out practical activities to complement the theoretical classes aiming at better assimilation of the contents for an effective learning. Furthermore, an overview of projects using remote laboratories developed are presented, such as: “WebLab for Speed ??…”
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Federated Reinforcement Learning in Stock Trading Execution: The FPPO Algorithm for Information Security by Haogang Feng, Yue Wang, Shida Zhong, Tao Yuan, Zhi Quan

Subjects: “…Federated reinforcement learning…”
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Dual-Mode Encryption for UC-Secure String OT from Learning with Errors by Momeng Liu, Yupu Hu, Qiqi Lai, Shanshan Zhang, Huiwen Jia, Wen Gao, Baocang Wang

“…However, the study of UC-secure OT over lattices is still far behind compared with constructions over prequantum assumptions. Relying on the learning with errors (LWE) assumption, Quach proposes a dual-mode encryption scheme (SCN’20) for deriving a two-round OT whose security is provably UC-secure in the common reference string (CRS) model. …”
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