Applying genetic algorithm to extreme learning machine in prediction of tumbler index with principal component analysis for iron ore sintering by Senhui Wang

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Unveiling farmers’ perceptions: a citizen science and machine learning approach to exploring drivers in the adequacy and fairness of water systems by Vasilios Plakandaras, Fahad Khan Khadim, Vassiliki Kazana, Emmanouil Anagnostou, Amvrossios C Bagtzoglou

Subjects: “…machine learning…”
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Explainable machine learning model for predicting decline in platelet count after interventional closure in children with patent ductus arteriosus by Song-Yue Zhang, Yi-Dong Zhang, Hao Li, Qiao-Yu Wang, Qiao-Fang Ye, Xun-Min Wang, Tian-He Xia, Yue-E He, Xing Rong, Ting-Ting Wu, Rong-Zhou Wu

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Pengembangan dan Penerapan Sistem Persuasif pada E-learning : Aspek Perceived System Credibility dan Social Influence by Vanya Anjani Mupti, Yohana Dewi Lulu Widyasari, Indah Lestari

Subjects: “…E-learning…”
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Engaging High Water Users in Water Conservation #3: High Water Users’ Opportunities to Learn about Water Conservation by Pei-wen Huang, Alexa J. Lamm

“…AEC595/WC257: Engaging High Water Users in Water Conservation #3: High Water Users' Opportunities to Learn about Water Conservation (ufl.edu) …”
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Advanced artificial intelligence with federated learning framework for privacy-preserving cyberthreat detection in IoT-assisted sustainable smart cities by Mahmoud Ragab, Ehab Bahaudien Ashary, Bandar M. Alghamdi, Rania Aboalela, Naif Alsaadi, Louai A. Maghrabi, Khalid H. Allehaibi

Subjects: “…Federated Learning…”
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Freinet and Montessori in practice. A comparative analysis of the meanings attributed to the process of learning by early education teachers – research report by Jarosław Jendza, Joanna Grzanka

“…Understanding constructivism as a metaphor describing process of learning, the authors outline similarities and differences in the conceptions attributed to the processes of learning between the two researched groups of teachers. …”
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Evolving prognostic paradigms in lung adenocarcinoma with brain metastases: a web-based predictive model enhanced by machine learning by Min Liang, Zhiwen Zhang, Langming Wu, Mafeng Chen, Shifan Tan, Jian Huang

Subjects: “…Machine learning…”
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Summer Research Internship Curriculum to Promote Self-Efficacy, Researcher Identity, and Peer-to-Peer Learning: Retrospective Cohort Study by Yulia A Levites Strekalova, Rachel Liu-Galvin, Samuel Border, Sara Midence, Mishal Khan, Maya VanZanten, John Tomaszewski, Sanjay Jain, Pinaki Sarder

“…The curriculum is intended to support intern self-efficacy, researcher identity development, and peer-to-peer learning. At the end of the internship, students were invited to participate in a web-based survey in which they were asked to rate their academic and research abilities before the internship and as a result of the internship using a modified Entering Research Learning Assessment instrument. …”
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Intrusion Detection for Wireless Sensor Network Using Particle Swarm Optimization Based Explainable Ensemble Machine Learning Approach by Shaikh Afnan Birahim, Avijit Paul, Fahmida Rahman, Yamina Islam, Tonmoy Roy, Mohammad Asif Hasan, Fariha Haque, Muhammad E. H. Chowdhury

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A proximal policy optimization based deep reinforcement learning framework for tracking control of a flexible robotic manipulator by Joshi Kumar V, Vinodh Kumar Elumalai

Subjects: “…Deep reinforcement learning…”
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Brain mapping, biomarker identification and using machine learning method for diagnosis of anxiety during emotional face in preschool children by Samira Jafari, Hamid Sharini, Aliakbar Foroughi, Afshin Almasi

“…The fMRI biomarkers (FC) were given to machine learning models as input features to diagnose anxiety in children for angry and fearful conditions. …”
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Estimation of the Compressive Strength of Self-Compacting Concrete (SCC) by a Machine Learning Technique Coupling with Novel Optimization Algorithms by Ling Chen, Wengang Jiang

“…This research aims to model the CS of SCC via a machine learning technique of Support Vector Regression (SVR). …”
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Deteksi Kejadian Lalu Lintas pada Teks Twitter dengan Pendekatan Klasidikasi Multi-Label Berbasis Deep Learning by Luthfi Atikah, Diana Purwitasari, Nanik Suciati

“…Klasifikasi dilakukan dengan menggunakan pendekatan deep learning (CNN dan LSTM) dan word embedding (word2vec dan fastText) dengan augmentasi dan non-augmentasi data. …”
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Artificial intelligence-driven ensemble deep learning models for smart monitoring of indoor activities in IoT environment for people with disabilities by Munya A. Arasi, Hussah Nasser AlEisa, Amani A. Alneil, Radwa Marzouk

“…Conventional machine learning and deep learning approaches effectively detect human activity. …”
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Development of a social learning theory-based pressure injury training program for nursing assistants in Chinese nursing homes by Yanxia Guo, Yanxia Guo, Shengnan Yang, Plernpit Boonyamalik, Arpaporn Powwattana, Wen Zhu, Lingxia Xu

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Optimizing Subchannel Assignment and Power Allocation for Network Slicing in High-Density NOMA Networks: A Q-Learning Approach by Suhare Solaiman

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Enhancing Learners’ Engagement and Performance in Learning through E-Resources and Services: National Open University of Nigeria Students as Beneficiaries by Patricia Ngozi Ofodu, Loveth Ogoegbunam Ekwueme

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Deep Learning Image Classification Rontgen Dada pada Kasus Covid-19 Menggunakan Algoritma Convolutional Neural Network by Leni Anggraini Susanti, Agus Mohamad Soleh, Bagus Sartono

“…Proses pelatihan menggunakan learning rate 0.0001, optimasi stochastic gradient descent (SGD), dan sepuluh iterasi. …”
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Development of Hybrid Intrusion Detection System Leveraging Ensemble Stacked Feature Selectors and Learning Classifiers to Mitigate the DoS Attacks by P. Mamatha, S. Balaji, S. Sai Anuraghav

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