Analysis of ability to listen to descriptive text through the implementation of the learning team’s strategy student by Ruth C Paath

Subjects: “…description text, learning teams…”
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Radiomics-based Machine Learning Approach to Predict Chemotherapy Responses in Colorectal Liver Metastases by Yuji Miyamoto, Takeshi Nakaura, Mayuko Ohuchi, Katsuhiro Ogawa, Rikako Kato, Yuto Maeda, Kojiro Eto, Masaaki Iwatsuki, Yoshifumi Baba, Toshinori Hirai, Hideo Baba

Subjects: “…machine learning…”
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Advancements in Predictive Analytics: Machine Learning Approaches to Estimating Length of Stay and Mortality in Sepsis by Houssem Ben Khalfallah, Mariem Jelassi, Jacques Demongeot, Narjès Bellamine Ben Saoud

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Reinforcement learning based route optimization model to enhance energy efficiency in internet of vehicles by Quadeer Hussain, Ahmad Shukri Mohd Noor, Muhammad Mukhtar Qureshi, Jianqiang Li, Atta-ur Rahman, Aghiad Bakry, Tariq Mahmood, Amjad Rehman

“…In the realm of IoV, we propose OptiE2ERL, an advanced Reinforcement Learning (RL) based model designed to optimize energy efficiency and routing. …”
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A systematic literature review and taxonomy proposition of machine learning techniques in smart manufacturing by Frederico de Oliveira Santos, Ivanete Schneider Hahn

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Personalized treatment strategies for breast adenoid cystic carcinoma: A machine learning approach by Sakhr Alshwayyat, Mahmoud Bashar Abu Al Hawa, Mustafa Alshwayyat, Tala Abdulsalam Alshwayyat, Siya sawan, Ghaith Heilat, Hanan M. Hammouri, Sara Mheid, Batool Al Shweiat, Hamdah Hanifa

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Retracted: Deep Learning-Guided Simulated Annealing for Designing Vocational High Educational System by Applied Bionics and Biomechanics

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ACCEPTANCE OF A USB-BASED PORTABLE LEARNING RESOURCE ON LOCAL KNOWLEDGE (EXPERIENCE IN THE PHILIPPINES) by Angie R. Jalandoon, Liezel G. Mohillo, Dave E. Marcial

“…Specifically, this paper provides a descriptive analysis of Portable Learning Resource acceptance among the respondents in terms of performance expectancy, effort expectancy, attitudes toward using Portable Learning Resource, facilitating conditions, self-efficacy, anxiety, and behavioral intention to use Portable Learning Resource. …”
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Hybrid learning in post-pandemic higher education systems: an analysis using SEM and DNN by Alvin Muhammad ‘Ainul Yaqin, Ahmad Kamil Muqoffi, Sigit Rahmat Rizalmi, Faishal Arham Pratikno, Remba Yanuar Efranto

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DC-NNMN: Across Components Fault Diagnosis Based on Deep Few-Shot Learning by Juan Xu, Pengfei Xu, Zhenchun Wei, Xu Ding, Lei Shi

“…In recent years, deep learning has become a popular topic in the intelligent fault diagnosis of industrial equipment. …”
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Development of Driver-Behavior Model Based onWOA-RBM Deep Learning Network by Junhui Liu, Yajuan Jia, Yaya Wang

“…This method establishes an objective optimization function first, which contains the training of RBM deep learning network based on the real driver behavior data. …”
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Integrating mitochondrial and lysosomal gene analysis for breast cancer prognosis using machine learning by Huilin Chen, Zhenghui Wang, Jiale Shi, Jinghui Peng

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Research on Airport Target Recognition under Low-Visibility Condition Based on Transfer Learning by Jiajun Li, Yongzhong Wang, Yuexin Qian, Tianyi Xu, Kaiwen Wang, Liancheng Wan

“…First, a variety of deep transfer learning networks are used to identify well-visible airport targets. …”
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Advanced Defect Detection on Curved Aeronautical Surfaces Through Infrared Imaging and Deep Learning by Leith Bounenni, Mohamed Arbane, Clemente Ibarra-Castanedo, Yacine Yaddaden, Sreedhar Unnikrishnakurup, Andrew Ngo Chun Yong, Xavier Maldague

Subjects: “…deep learning…”
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Design of PKN learning model based on tolaki local wisdom to improve prosocial behavior by Lisnawati Rusmin, Waode Reni

“…Design of a Learning Model Based on Tolaki Local Wisdom to Improve Prosocial Behavior. …”
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Making Good Decisions: Television and Young Children’s Learning, A Parent Tip Sheet by David C. Diehl, Stephanie C. Toelle

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Enhancing 21st Century Skills in Students with Special Needs Through STEM Learning by Maya Rahma Sarita, Asih Widi Wisudawati

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Enhancing self-regulated learning and critical thinking in STEM through flipped classroom models by Ali Akhmad Setiyawan, Arief Agoestanto, Isnarto Isnarto

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Features to Text: A Comprehensive Survey of Deep Learning on Semantic Segmentation and Image Captioning by Ariyo Oluwasammi, Muhammad Umar Aftab, Zhiguang Qin, Son Tung Ngo, Thang Van Doan, Son Ba Nguyen, Son Hoang Nguyen, Giang Hoang Nguyen

“…With the emergence of deep learning, computer vision has witnessed extensive advancement and has seen immense applications in multiple domains. …”
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Detecting defect requirements in animation-based reading learning using perspective-based reading by Rama Haryamadha, Roy Inzaqhi Saputra, Aminudin Aminudin, Ilyas Nuryasin

“…Therefore we use a user persona approach to find out what needs are needed in animation learning and Perspective Based Reading (PBR) for verification or validation effective from the development of this learning application user interface, from the results of this study a total of 1 defect was obtained for the UI development of animation-based reading learning, and from the user's perspective there were no defects, and it is hoped that from this research to improve develop learning applications that are more interactive and in accordance with the requirements of stakeholders.…”
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