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Machine learning approaches for prediction of the compressive strength of alkali activated termite mound soil
Machine learning approaches for prediction of the compressive strength of alkali activated termite mound soil
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Machine learning approaches for prediction of the compressive strength of alkali activated termite mound soil

Assia Aboubakar Mahamat Moussa Mahamat Boukar; Nurudeen Mahmud Ibrahim; Tido Tiwa Stanislas; Numfor Linda Bih; Ifeyinwa Ijeoma Obianyo; Holmer Savastano Júnior

Applied Sciences Basel v. 11, n. 11, art. 4754, p. 1-13, 2021

Basel 2021

Localização: FZEA - Fac. Zoot. Eng. de Alimentos    (PCD 2021 Mac )(Acessar)

2
Intrinsically Motivated Open-Ended Multi-Task Learning Using Transfer Learning to Discover Task Hierarchy
Intrinsically Motivated Open-Ended Multi-Task Learning Using Transfer Learning to Discover Task Hierarchy
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Intrinsically Motivated Open-Ended Multi-Task Learning Using Transfer Learning to Discover Task Hierarchy

Duminy, Nicolas ; Nguyen, Sao Mai ; Zhu, Junshuai ; Duhaut, Dominique ; Kerdreux, Jerome

Applied sciences, 2021-02, Vol.11 (3), p.975 [Periódico revisado por pares]

Basel: MDPI AG

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3
Scaling-Up Social Learning in Small Groups with Robot Supported Collaborative Learning (RSCL): Effects of Learners’ Prior Experience in the Case Study of Planning Poker with the Robot NAO
Scaling-Up Social Learning in Small Groups with Robot Supported Collaborative Learning (RSCL): Effects of Learners’ Prior Experience in the Case Study of Planning Poker with the Robot NAO
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Scaling-Up Social Learning in Small Groups with Robot Supported Collaborative Learning (RSCL): Effects of Learners’ Prior Experience in the Case Study of Planning Poker with the Robot NAO

Buchem, Ilona

Applied sciences, 2023-03, Vol.13 (7), p.4106 [Periódico revisado por pares]

Basel: MDPI AG

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4
Deep Learning Algorithms to Identify Autism Spectrum Disorder in Children-Based Facial Landmarks
Deep Learning Algorithms to Identify Autism Spectrum Disorder in Children-Based Facial Landmarks
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Deep Learning Algorithms to Identify Autism Spectrum Disorder in Children-Based Facial Landmarks

Alkahtani, Hasan ; Aldhyani, Theyazn H. H ; Alzahrani, Mohammed Y

Applied sciences, 2023-04, Vol.13 (8), p.4855 [Periódico revisado por pares]

Basel: MDPI AG

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5
Augmented Reality: A Systematic Review of Its Benefits and Challenges in E-learning Contexts
Augmented Reality: A Systematic Review of Its Benefits and Challenges in E-learning Contexts
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Augmented Reality: A Systematic Review of Its Benefits and Challenges in E-learning Contexts

Alzahrani, Nouf Matar

Applied sciences, 2020-08, Vol.10 (16), p.5660 [Periódico revisado por pares]

Basel: MDPI AG

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6
Educational AI Chatbots for Content and Language Integrated Learning
Educational AI Chatbots for Content and Language Integrated Learning
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Educational AI Chatbots for Content and Language Integrated Learning

Mageira, Kleopatra ; Pittou, Dimitra ; Papasalouros, Andreas ; Kotis, Konstantinos ; Zangogianni, Paraskevi ; Daradoumis, Athanasios

Applied sciences, 2022-04, Vol.12 (7), p.3239 [Periódico revisado por pares]

Basel: MDPI AG

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7
Variable Compliance Control for Robotic Peg-in-Hole Assembly: A Deep-Reinforcement-Learning Approach
Variable Compliance Control for Robotic Peg-in-Hole Assembly: A Deep-Reinforcement-Learning Approach
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Variable Compliance Control for Robotic Peg-in-Hole Assembly: A Deep-Reinforcement-Learning Approach

Beltran-Hernandez, Cristian C. ; Petit, Damien ; Ramirez-Alpizar, Ixchel G. ; Harada, Kensuke

Applied sciences, 2020-10, Vol.10 (19), p.6923 [Periódico revisado por pares]

Basel: MDPI AG

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8
Deep Residual Learning for Image Recognition: A Survey
Deep Residual Learning for Image Recognition: A Survey
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Deep Residual Learning for Image Recognition: A Survey

Shafiq, Muhammad ; Gu, Zhaoquan

Applied sciences, 2022-09, Vol.12 (18), p.8972 [Periódico revisado por pares]

Basel: MDPI AG

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9
Predicting Student Performance Using Data Mining and Learning Analytics Techniques: A Systematic Literature Review
Predicting Student Performance Using Data Mining and Learning Analytics Techniques: A Systematic Literature Review
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Predicting Student Performance Using Data Mining and Learning Analytics Techniques: A Systematic Literature Review

Namoun, Abdallah ; Alshanqiti, Abdullah

Applied sciences, 2021-01, Vol.11 (1), p.237 [Periódico revisado por pares]

Basel: MDPI AG

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10
Analyzing and Predicting Students’ Performance by Means of Machine Learning: A Review
Analyzing and Predicting Students’ Performance by Means of Machine Learning: A Review
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Analyzing and Predicting Students’ Performance by Means of Machine Learning: A Review

Rastrollo-Guerrero, Juan L. ; Gómez-Pulido, Juan A. ; Durán-Domínguez, Arturo

Applied sciences, 2020-02, Vol.10 (3), p.1042 [Periódico revisado por pares]

Basel: MDPI AG

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Deste Autor:

  1. Boukar, M
  2. Stanislas, T
  3. Ibrahim, N
  4. Savastano Júnior, H
  5. Obianyo, I

Neste Assunto:

  1. Science & Technology
  2. Engineering
  3. Technology
  4. Physics
  5. Materials Science

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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