DeepClassRooms: a deep learning based digital twin framework for on-campus class rooms.

• Authors : Razzaq, Saad¹ (AUTHOR); Shah, Babar² (AUTHOR); Iqbal, Farkhund² (AUTHOR)

Subjects: *DEEP learning; *DIGITAL twins; *CLASSROOMSPAKISTAN; PUNJAB

• Source: Neural Computing & Applications. Apr2023, Vol. 35 Issue 11, p8017-8026. 10p.

• Abstract: A lot of different methods are being opted for improving the educational standards through monitoring of the classrooms. The developed world uses Smart classrooms to ... Copyright of Neural Computing & Applications is the property of Springer Nature and its content may not be copied or emailed to multiple sites or ...

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Neural Correlate-Based E-Learning Validation and Classification Using Convolutional and Long Short-Term Memory Networks.

• Authors : Pathak, Dharmendra¹ ; Kashyap, Ramgopal¹

Subjects: Digital learning; Convolutional neural networks; Online education

• Source: Traitement du Signal. Aug2023, Vol. 40 Issue 4, p1457-1467. 11p.

• Abstract: The COVID-19 pandemic has precipitated an unprecedented surge in the proliferation of online E-learning platforms, designed to cater to a ...

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Classification of Learning Sentiments of College Students Based on Topic Discussion Texts of Online Learning Platforms.

• Authors : Mingzhe Niu¹,

• Source: International Journal of Emerging Technologies in Learning; 2022, Vol. 17 Issue 24, p42-56, 15p

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Application of Convolutional Neural Network Algorithm under Deep Learning in Digital Clothing Design.

• Authors : Xue, Xiangyi¹ (AUTHOR); Xue, Xiangying² (AUTHOR)

Subjects: *Algorithms; Deep learning; Convolutional neural networks

• Source: Security & Communication Networks. 5/24/2022, p1-12. 12p.

• Abstract: In order to overcome the influence of background, lighting, deformation, and other factors, using a constitutional neural network structure combined with metric ...

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Biometric Based E-Learning Application To Detect Learner Attention Prediction.

• Authors : Pushpa, P. N.¹, ; Subapriya. V.², ; Uday, Vismaya C.³,

• Source: Turkish Online Journal of Qualitative Inquiry; 2021, Vol. 12 Issue 6, p9142-9149, 8p

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Copy-move image forged information detection and localisation in digital images using deep convolutional network.

• Authors : Saba, Tanzila¹; Rehman, Amjad¹, ; Sadad, Tariq²

• Source: Journal of Information Science; Oct2023, Vol. 49 Issue 5, p1325-1334, 10p

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ASCA-squeeze net: Aquila sine cosine algorithm enabled hybrid deep learning networks for digital image forgery detection.

• Authors : Nirmalapriya, G.¹ (AUTHOR) ; Maram, Balajee² (AUTHOR); Lakshmanan, Ramanathan³ (AUTHOR)

Subjects: *Forgery; *Algorithms; Convolutional neural networks

• Source: Computers & Security. May2023, Vol. 128, pN.PAG-N.PAG. 1p.

• Abstract: The basic element in resolving numerous challenges, particularly social concerns like those in court cases and Facebook, is image forgery detection. The primary objective of ...

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Retracted: Application of Convolutional Neural Network Algorithm under Deep Learning in Digital Clothing Design.

• Authors : and Communication Networks, Security (AUTHOR)

Subjects: *Algorithms; Convolutional neural networks; Deep learning

• Source: Security & Communication Networks. 6/28/2023, p1-1. 1p.

• Abstract: We wish to credit our own Research Integrity and Research Publishing teams and anonymous and named external researchers and research integrity experts for contributing to ...

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Implementation of an adaptive E-learning platform with facial emotion recognition.

• Authors : Bala, Myneni Madhu¹ (AUTHOR) ; Akkineni, Haritha² (AUTHOR); Sirivella, Siva Abhishek¹ (AUTHOR)

Subjects: *EMOTION recognition; *CONVOLUTIONAL neural networks; *DIGITAL learning

• Source: Microsystem Technologies. Apr2023, Vol. 29 Issue 4, p609-619. 11p.

• Abstract: The advancement in technology provides various opportunities for students to encourage academic development and provides ease of access to education using E-... Copyright of Microsystem Technologies is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted ...

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Project-first approach to programming in K–12: Tracking the development of novice programmers in technology-deprived environments.

• Authors : Ezeamuzie, Ndudi O.¹,

• Source: Education & Information Technologies; Jan2023, Vol. 28 Issue 1, p407-437, 31p

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