Machine Learning- and Feature Selection-Enabled Framework for Accurate Crop Yield Prediction by Sandeep Gupta, Angelina Geetha, K. Sakthidasan Sankaran, Abu Sarwar Zamani, Mahyudin Ritonga, Roop Raj, Samrat Ray, Hussien Sobahi Mohammed

“…In this study, a machine learning framework for agricultural yield prediction is presented. …”
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Research and application of VoLTE video call quality based on machine learning by Qizhu ZHONG

Subjects: “…machine learning…”
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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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THE EFFECTS OF LANGUAGE INPUT, LEARNING ENVIRONMENT, AND MOTIVATION TOWARD SECOND LANGUAGE ACQUISITION by Muhammad Ali Agung Baroto

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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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FAILURE PREDICTION OF BOLTED CONNECTION OF COMPOSITE MATERIALS BASED ON DEEP LEARNING (MT) by PENG Fan, ZOU SiNong, REN YiRu

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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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PREDICTING RURAL STEM TEACHERS’ ACCEPTANCE OF MOBILE LEARNING IN THE FOURTH INDUSTRIAL REVOLUTION by David Mutambara, Anass Bayaga

Subjects: “…Acceptance Fourth industrial revolution, Mobile learning, STEM, Technology Acceptance Model…”
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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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Research progress on modeling of heavy metal adsorption by biochar based on machine learning by FENG Ding, LIU Jingjing, MA Wendan, LIU Yuxue, YANG Chen, ZHANG Mengmeng

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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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Bankruptcy forecasting in enterprises and its security using hybrid deep learning models by Akshat Gaurav, Brij B. Gupta, Shavi Bansal, Konstantinos E. Psannis

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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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PROJECT BASED LEARNING: A REVIEW OF LITERATURE ON ITS OUTCOMES AND IMPLEMENTATION ISSUES by Ciptro Handrianto, Muhammad Arinal Rahman

Subjects: “…Project Based Learning…”
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