Design of a Process Control Laboratory Curriculum Incorporating Simulation Modules and Hands-On Training for Enhanced Learning Experience by Serene Sow Mun Lock, Irene Sow Mei Lock, Lam Ghai Lim

“…Advanced Bloom's Taxonomy and the Five Es Inquiry-Based Learning model were key components, allowing students to design their own labs and explore foundational control principles. …”
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La formación del maestro 2.0: el aprendizaje por tareas en entornos b-learning by Manuel Area, José F. Borrás, Belén Sannicolás

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Maternal exposure to deltamethrin during pregnancy and lactation impairs hippocampal learning and memory function of male offspring by ferroptosis by Shasha Huang, Wanqi Li, Dengke Wang, Huiwen Feng, Bo Wang, Xinyu Dong, Wei Zhao, Dan Liu, Yuan Wang

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Exploration of the optimal deep learning model for english-Japanese machine translation of medical device adverse event terminology by Ayako Yagahara, Masahito Uesugi, Hideto Yokoi

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Visual Perceptions Skills and its Association with Written Mathematical Communication Skills among Learning Disabilities Students in Jordan by Saida Aladwan, Worud Awamleh, Mona Qutaifan Ershed Alfayez, Hassan Rafi’ Ali Shaheen, Muna Saleem Taha Abutaha

“…# Aim The present research sought at investigating the association between visual perception skills and written mathematical communication skills among a sample of students with learning disabilities in mathematics in Jordan. # Method This was a cross-sectional correlational study that included a sample of 90 primary-stage students who were diagnosed as having learning disabilities in mathematics. …”
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High-Accuracy Fault Location Detection in Double-Circuit Transmission Lines Utilizing Extreme Learning Machine Algorithm by Muhammad Hammad Saeed

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Possibilities of using immersive learning based on abstract highly formalized mathematical models for training future mathematics teachers by Valentina A. Matveeva, Olga Yu. Zaslavskaya

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Peningkatan Performa Ensemble Learning pada Segmentasi Semantik Gambar dengan Teknik Oversampling untuk Class Imbalance by Arie Nugroho, M. Arief Soeleman, Ricardus Anggi Pramunendar, Affandy Affandy, Aris Nurhindarto

“…Normally, the human eye can easily distinguish between the foreground and background of an image, but computers need learning to distinguish between the two. Image segmentation is one of the fields in computer vision that discusses how computers learn and recognize segments of an image according to specified labels. …”
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The Influence of Pro Evolution Soccer Game-Based Learning on Understanding Football Rules among Tenth Grade Students by Irvan Abdillah, Samsuddin Siregar, Rafael Burgueño, Felisa Romo Lea, Gertude Barton

Subjects: “…game-based learning…”
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Enhancing executive mathematics problem-solving through a constructivist digital learning platform: Design, development and evaluation by Supaluk Chaiarwut, Sanit Srikoon, Apirat Siritaratiwat, Parama Kwangmuang

Subjects: “…Learning innovation…”
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Assessing the effectiveness of using electronic distance learning methods and the relationship with the results of the Bennett and Unified State Exam tests by Maksim S. Ivanov, Lyudmila V. Vinogradova, Vera A. Patrina, Oksana V. Makarova

Subjects: “…electronic distance learning methods…”
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Secured DICOM medical image transition with optimized chaos method for encryption and customized deep learning model for watermarking by R. Abirami, C. Malathy

“…The chaotic encryption technique makes use of the Lorenz map and a Customized Deep Learning Model (CDLM) based on Convolution Neural Networks (CNNs) are presented for watermarking. …”
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The impact of ecological civilization construction on the resilience of green technology innovation: evidence based on double dual machine learning by Cunlin Li, Cunlin Li, Shiyu Zhang, Shiyu Zhang, Baojun Yang, Baojun Yang

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Learning from crises: challenges and opportunities for rural inland territories in the south-west of France after COVID-19 by Inmaculada Diaz-Soria, Sébastien Rayssac, Asunción Blanco-Romero

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Kidney Diseases Classification using Hybrid Transfer-Learning DenseNet201-Based and Random Forest Classifier by Abdalbasit Mohammed Qadir, Dana Faiq Abd

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Integration of field data and application of machine learning methods to assess the condition of the near-wellbore zone of carbonate reservoirs by Andrey V. Soromotin, Dmitriy A. Martyushev

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Machine Learning Classification Model to Label Sources Derived from Factor Analysis Receptor Models for Source Apportionment by Vikas Kumar, Vasudev Malyan, Manoranjan Sahu, Basudev Biswal

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Flexible and cost-effective deep learning for accelerated multi-parametric relaxometry using phase-cycled bSSFP by Florian Birk, Lucas Mahler, Julius Steiglechner, Qi Wang, Klaus Scheffler, Rahel Heule

“…This work emphasizes the advantages of in silico DNN MP-qMRI pipelines for rapid data generation and DNN training without extensive dictionary generation, long parameter inference times, or prolonged data acquisition, highlighting the flexible and rapid nature of lightweight machine learning applications for MP-qMRI.…”
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Enhancing the estimation of cadmium content in rice leaves by integrating vegetation indices and color indices using machine learning by Xiaoyun Huang, Shengxi Chen, Tianling Fu, Chengwu Fan, Hongxing Chen, Song Zhang, Hui Chen, Song Qin, Zhenran Gao

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Blockchain-Powered Secure and Scalable Threat Intelligence System With Graph Convolutional Autoencoder and Reinforcement Learning Feedback Loop by Mohamad Khayat, Ezedin Barka, Mohamed Adel Serhani, Farag Sallabi, Khaled Shuaib, Heba M. Khater

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