Architecture of a recommendation service for choosing training areas at a higher education institution by applicants with the method of collaborative filtering of machine learning by A. M. Prokhorova

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Investigating the effect of learning and motivational strategies on the self-efficacy of physical education and sports science students with the mediating role of academic progress and enthusiasm by Ahmad Sabihabdollah Alharishavi, Hasan ghalavandi, Mohammad hassani

Subjects: “…learning strategies…”
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Exploring the role of project-based learning in higher education to promote indigenous knowledge through sculpture students’ engagement with Ghanaian Adinkra symbols by Fredrick Boakye-Yiadom, Evans Kwadwo Donkor, Ronald Osei Mensah

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Corrigendum: Impact of academic cheating and perceived online learning effectiveness on academic performance during the COVID-19 pandemic among Pakistani students by Aamir Abbas Malik, Mehdi Hassan, Muhammad Rizwan, Iqra Mushtaque, Tauqeer Ahmed Lak, Mussarat Hussain

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High resolution multi-delay arterial spin labeling with self-supervised deep learning denoising for pediatric choroid plexus perfusion MRI by Qinyang Shou, Chenyang Zhao, Xingfeng Shao, Megan M Herting, Danny JJ Wang

“…We further proposed a Transformer-based deep learning (DL) model with k-space weighted image average (KWIA) denoised images as reference for training the model. …”
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Post-Pandemic Independent Learning Assistance Model for Improving Students’ Academic and Socio-Personal Competence: Campus on Duty (COD) Program, In Indonesia by Novi Nityasanti, Alfi Laila, Sutisno Sahari, Veny Iswantiningtyas, Rosa Imani Khan

“…This study aimed to develop a feasible, effective, and practical independent learning assistance model for elementary school students. …”
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Bulk Low-Inertia Power Systems Adaptive Fault Type Classification Method Based on Machine Learning and Phasor Measurement Units Data by Mihail Senyuk, Svetlana Beryozkina, Inga Zicmane, Murodbek Safaraliev, Viktor Klassen, Firuz Kamalov

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A Real-Time Train Timetable Rescheduling Method Based on Deep Learning for Metro Systems Energy Optimization under Random Disturbances by Jinlin Liao, Feng Zhang, Shiwen Zhang, Cheng Gong

“…This paper proposes a Modified Genetic Algorithm-Gate Recurrent Unit (MGA-GRU) method, which is a real-time TTR method based on deep learning. The proposed method takes the Gate Recurrent Unit (GRU) network as the decision network and uses the results produced by the Modified Genetic Algorithm (MGA) as the training set of the decision network. …”
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A novel aggregated coefficient ranking based feature selection strategy for enhancing the diagnosis of breast cancer classification using machine learning by E. Sreehari, L. D. Dhinesh Babu

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Prediction of Multiple Organ Failure Complicated by Moderately Severe or Severe Acute Pancreatitis Based on Machine Learning: A Multicenter Cohort Study by Fumin Xu, Xiao Chen, Chenwenya Li, Jing Liu, Qiu Qiu, Mi He, Jingjing Xiao, Zhihui Liu, Bingjun Ji, Dongfeng Chen, Kaijun Liu

“…This study is aimed to use machine learning to predict the risk of MOF in the course of disease. …”
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Developing a semi-automated technique of surface water quality analysis using GEE and machine learning: A case study for Sundarbans by Sheikh Fahim Faysal Sowrav, Sujit Kumar Debsarma, Mohan Kumar Das, Khan Mohammad Ibtehal, Mahfujur Rahman, Noshin Tabassum Hridita, Atika Afia Broty, Muhammad Sajid Anam Hoque

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Analysis of the Reform Effectiveness of Vocational Skill Identification Based on the New Social Training Model in the New Era under Deep Learning Assessment by Yeming Wang, Yong Ran

“…In order to be able to make full use of domain knowledge to improve the performance of skill word extraction, this paper proposes a skill word extraction method based on a combination of deep learning and corpus features. Skill word extraction is transformed into a sequence annotation problem, and based on the basic model of sequence annotation, Bi-LSTM-CRF, corpus features are added to the input layer, and the output of the input layer is connected with the Bi-LSTM output as the input of the CRF layer. …”
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Identification of the Hub Genes Involved in Stem Cell Treatment for Intervertebral Disc Degeneration: A Conjoint Analysis of Single-Cell and Machine Learning by Jianfeng Chen, Fuwei Qi, Guanshen Li, Qiaosong Deng, Chenlin Zhang, Xiaojun Li, Yafeng Zhang

“…In this first-of-a-kind study combining machine learning, stem cell treatment samples and single-cell sequencing data were collected. …”
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Research on a Novel Unsupervised-Learning-Based Pipeline Leak Detection Method Based on Temporal Kolmogorov–Arnold Network with Autoencoder Integration by Hengyu Wu, Zhu Jiang, Xiang Zhang, Jian Cheng

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OTEL İŞLETMELERİNDE ÖĞRENİLMİŞ GÜÇLÜLÜK DÜZEYLERİNİN BELİRLENMESİNE YÖNELİK BİR ARAŞTIRMA - A RESEARCH ON DETERMINING THE LEVEL OF LEARNED RESOURCEFULNESS IN HOTEL BUSINESSES by BETÜL Çetin

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Machine learning based compact MIMO antenna array for 38 GHz millimeter wave application with robust isolation and high efficiency performance by Md. Ashraful Haque, Md. Sharif Ahammed, Soeung Socheatra, Redwan A. Ananta, Md. Jamal Hossain Nirob, Narinderjit Singh Sawaran Singh, Noorlindawaty Md. Jizat, Saeed Alsowail, Samir Salem Al-Bawri

“…The performance of wireless 5 G communication networks can be enhanced by combining multiple-input multiple-output (MIMO) antennas with machine learning (ML). The suggested antenna, which is constructed on a Rogers 5880 substrate, is well-suited for usage in the high bands of 5 G applications due to its 27 dB isolation and bandwidth of 35.181–39.689 (4.508) GHz within a -10 dB range. …”
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Combining UAV Remote Sensing with Ensemble Learning to Monitor Leaf Nitrogen Content in Custard Apple (<i>Annona squamosa</i> L.) by Xiangtai Jiang, Lutao Gao, Xingang Xu, Wenbiao Wu, Guijun Yang, Yang Meng, Haikuan Feng, Yafeng Li, Hanyu Xue, Tianen Chen

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Additional Language Learning in Montessori settings: insights from the implementation process of a Second Language Programme in a Scottish Montessori school by Romali Rosales Chavarría

“… Very little has been published academically on language learning within Montessori education. This is a field that has grown and evolved from the ground as schools face the need to include additional language learning and develop bilingual programmes as part of their curricula. …”
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A Novel Approach for Detection of Pavement Crack and Sealed Crack Using Image Processing and Salp Swarm Algorithm Optimized Machine Learning by Nhat-Duc Hoang, Thanh-Canh Huynh, Xuan-Linh Tran, Van-Duc Tran

“…This method is an integration of feature extraction based on image processing and metaheuristic optimized machine learning. Image processing is used to compute features that characterize visual appearance and texture of the pavement image. …”
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An optimal control method considering degradation and economy based on mutual learn salp swarm algorithm of an islanded zero‐carbon DC microgrid by Ying Han, Yujing Hou, Luoyi Li, Weifeng Meng, Qi Li, Weirong Chen

“…This paper provides an optimal control method based on the mutual learn salp swarm algorithm (MLSSA) in real‐time, which aims to enhance the economy and extend the system's service life. …”
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