[HTML][HTML] Artificial Intelligence in Teaching and Teacher Professional Development: A Systematic Review
X Tan, G Cheng, MH Ling - Computers and Education: Artificial Intelligence, 2024 - Elsevier
Abstract The application of Artificial Intelligence (AI) technology in education is increasingly
recognized as a key driver of educational innovation. While extensive literature exists on the …
recognized as a key driver of educational innovation. While extensive literature exists on the …
Leveraging generative AI for urban digital twins: a sco** review on the autonomous generation of urban data, scenarios, designs, and 3D city models for smart city …
The digital transformation of modern cities by integrating advanced information,
communication, and computing technologies has marked the epoch of data-driven smart city …
communication, and computing technologies has marked the epoch of data-driven smart city …
[HTML][HTML] Data-related concepts for artificial intelligence education in K-12
Due to advances in Artificial Intelligence (AI), computer science education has rapidly
started to include topics related to AI along K-12 education. Although this development is …
started to include topics related to AI along K-12 education. Although this development is …
Large model-driven hyperscale healthcare data fusion analysis in complex multi-sensors
In the era of big data and artificial intelligence, healthcare data fusion analysis has become
difficult because of the large amounts and different types of sources involved. Traditional …
difficult because of the large amounts and different types of sources involved. Traditional …
[HTML][HTML] Characterizing generative artificial intelligence applications: Text-mining-enabled technology roadmap**
This study aims to identify generative AI (GenAI) applications and develop a roadmap for the
near, mid, and far future. Structural topic modeling (STM) is used to discover latent semantic …
near, mid, and far future. Structural topic modeling (STM) is used to discover latent semantic …
[HTML][HTML] A comprehensive review of deep learning: Architectures, recent advances, and applications
Deep learning (DL) has become a core component of modern artificial intelligence (AI),
driving significant advancements across diverse fields by facilitating the analysis of complex …
driving significant advancements across diverse fields by facilitating the analysis of complex …
[PDF][PDF] Deep Learning in Finance: A survey of Applications and techniques
Machine learning (ML) has transformed the financial industry by enabling advanced
applications such as credit scoring, fraud detection, and market forecasting. At the core of …
applications such as credit scoring, fraud detection, and market forecasting. At the core of …
[HTML][HTML] Machine Learning-Based Process Optimization in Biopolymer Manufacturing: A Review
I Malashin, D Martysyuk, V Tynchenko… - …, 2024 - pmc.ncbi.nlm.nih.gov
The integration of machine learning (ML) into material manufacturing has driven
advancements in optimizing biopolymer production processes. ML techniques, applied …
advancements in optimizing biopolymer production processes. ML techniques, applied …
Synthetic Data Generation via Generative Adversarial Networks in Healthcare: A Systematic Review of Image-and Signal-Based Studies
Generative Adversarial Networks (GANs) have emerged as a powerful tool in artificial
intelligence, particularly for unsupervised learning. This systematic review analyzes GAN …
intelligence, particularly for unsupervised learning. This systematic review analyzes GAN …
Characterizing generative artificial fi cial intelligence applications: Text-mining-enabled technology roadmap**
S Singh, S Singh, S Kraus, A Sharma… - Journal of innovation & …, 2024 - ujcontent.uj.ac.za
This study aims to identify generative AI (GenAI) applications and develop a roadmap for the
near, mid, and far future. Structural topic modeling (STM) is used to discover latent semantic …
near, mid, and far future. Structural topic modeling (STM) is used to discover latent semantic …