Mayfly Taylor Optimisation-Based Scheduling Algorithm with Deep Reinforcement Learning for Dynamic Scheduling in Fog-Cloud Computing by G. Shruthi, Monica R. Mundada, B. J. Sowmya, S. Supreeth

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Integrating Data Mining, Deep Learning, and Gene Ontology Analysis for Gene Expression-Based Disease Diagnosis Systems by Sergii Babichev, Igor Liakh, Jiri Skvor

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Interactive Multimedia in Differentiated Learning to Improve identifying of Simple Past Tense sentences in Vocational High School Students by Rahmawati Upa, Hafirah Patang, Paldy Paldy, Inrawati Inrawati

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A hybrid deep learning air pollution prediction approach based on neighborhood selection and spatio-temporal attention by Gang Chen, Shen Chen, Dong Li, Cai Chen

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Deep learning in gonarthrosis classification: a comparative study of model architectures and single vs. multi-model methods by Sahika Betul Yayli, Kutay Kılıç, Salih Beyaz

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Towards Fault Detection in Industrial Equipment through Energy Consumption Analysis: Integrating Machine Learning and Statistical Methods by Baddou Nada, Dadda Afaf, Rzine Bouchra, Hmamed Hala

Subjects: “…machine learning…”
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Wildfire Susceptibility Mapping Using Five Boosting Machine Learning Algorithms: The Case Study of the Mediterranean Region of Turkey by Sohaib K. M. Abujayyab, Moustafa Moufid Kassem, Ashfak Ahmad Khan, Raniyah Wazirali, Mücahit Coşkun, Enes Taşoğlu, Ahmet Öztürk, Ferhat Toprak

“…Forest fires caused by different environmental and human factors are responsible for the extensive destruction of natural and economic resources. Modern machine learning techniques have become popular in developing very accurate and precise susceptibility maps of various natural disasters to help reduce the occurrence of such calamities. …”
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Correction: A prediction approach to COVID-19 time series with LSTM integrated attention mechanism and transfer learning by Bin Hu, Yaohui Han, Wenhui Zhang, Qingyang Zhang, Wen Gu, Jun Bi, Bi Chen, Lishun Xiao

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CD19-directed chimeric antigen receptor T-cell therapy: what can we learn from the haematologist? by Marie José Kersten, Maria Theresa Kuipers

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Correlation coefficients of vibration signals and machine learning algorithm for structural damage assessment in beams under moving load by Toan Pham-Bao, Vien Le-Ngoc

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Accuracy of Deep Learning Algorithms for the Diagnosis of Retinopathy of Prematurity by Fundus Images: A Systematic Review and Meta-Analysis by Jingjing Zhang, Yangyang Liu, Toshiharu Mitsuhashi, Toshihiko Matsuo

“…Retinopathy of prematurity (ROP) occurs in preterm infants and may contribute to blindness. Deep learning (DL) models have been used for ophthalmologic diagnoses. …”
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Retracted: Deep and Reinforcement Learning Technologies on Internet of Vehicle (IoV) Applications: Current Issues and Future Trends by Journal of Advanced Transportation

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Foundations of Second Language Acquisition: Strategies and Motivation of Banjarese Young Learners in Learning English as a Foreign Language by Rusnadi Ali Kasan, Ridha Fadillah, Muhammad Yusuf

Subjects: “…Language Learning Strategies…”
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ThyroNet-X4 genesis: an advanced deep learning model for auxiliary diagnosis of thyroid nodules’ malignancy by Xiaoxue Wang, Yupeng Niu, Hongli Liu, Fa Tian, Qiang Zhang, Yimeng Wang, Yeju Wang, Yijia Li

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Comparison of the conceive-design-implement-operate model and lecture-based learning in teaching the “healthcare-associated infections” course by Yu Chen, Rui Zhang, Zhenke Zhou, Min Hong, Zheng Huang, Heling Wen, Lei Peng

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Exploring High School Students' Mathematical Reasoning in Geometry Using GeoGebra-Assisted Problem-Based Learning by Humam Nuralam, Al Jupri, Wenda Alifulloh

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Targeted Advertising in Social Media Platforms Using Hybrid Convolutional Learning Method besides Efficient Feature Weights by Seyed Mohsen Ebadi Jokandan, Peyman Bayat, Mehdi Farrokhbakht Foumani

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A Hybrid Approach for Sports Activity Recognition Using Key Body Descriptors and Hybrid Deep Learning Classifier by Muhammad Tayyab, Sulaiman Abdullah Alateyah, Mohammed Alnusayri, Mohammed Alatiyyah, Dina Abdulaziz AlHammadi, Ahmad Jalal, Hui Liu

Subjects: “…machine learning…”
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Predicting Treatment Outcomes in Patients with Low Back Pain Using Gene Signature-Based Machine Learning Models by Youzhi Lian, Yinyu Shi, Haibin Shang, Hongsheng Zhan

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Nanomodification analysis of pore structure in GO-enhanced CWRB based on metal intrusion and BSE imaging with deep learning by Jiajian Yu, Yi Gong, Yuan Gao, Hao Sui, Xiaoli Xu, Yanming Liu

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