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[HTML][HTML] Deep learning attention mechanism in medical image analysis: Basics and beyonds
With the improvement of hardware computing power and the development of deep learning
algorithms, a revolution of" artificial intelligence (AI)+ medical image" is taking place …
algorithms, a revolution of" artificial intelligence (AI)+ medical image" is taking place …
[HTML][HTML] Leveraging AI in e-learning: Personalized learning and adaptive assessment through cognitive neuropsychology—A systematic analysis
C Halkiopoulos, E Gkintoni - Electronics, 2024 - mdpi.com
This paper reviews the literature on integrating AI in e-learning, from the viewpoint of
cognitive neuropsychology, for Personalized Learning (PL) and Adaptive Assessment (AA) …
cognitive neuropsychology, for Personalized Learning (PL) and Adaptive Assessment (AA) …
Academic publisher guidelines on AI usage: A ChatGPT supported thematic analysis
Background As Artificial Intelligence (AI) technologies such as Generative AI (GenAI) have
become more common in academic settings, it is necessary to examine how these tools …
become more common in academic settings, it is necessary to examine how these tools …
Myths, mis-and preconceptions of artificial intelligence: A review of the literature
Artificial Intelligence (AI) is prevalent in nearly every aspect of our lives. However, recent
studies have found a significant amount of confusion and misunderstanding surrounding AI …
studies have found a significant amount of confusion and misunderstanding surrounding AI …
Knowing knowledge: Epistemological study of knowledge in transformers
Statistical learners are leading towards auto-epistemic logic, but is it the right way to
progress in artificial intelligence (AI)? Ways to discover AI fit the senses and the intellect. The …
progress in artificial intelligence (AI)? Ways to discover AI fit the senses and the intellect. The …
Dral: Deep reinforcement adaptive learning for multi-uavs navigation in unknown indoor environment
Autonomous indoor navigation of UAVs presents numerous challenges, primarily due to the
limited precision of GPS in enclosed environments. Additionally, UAVs' limited capacity to …
limited precision of GPS in enclosed environments. Additionally, UAVs' limited capacity to …
Explainable multi-instance and multi-task learning for COVID-19 diagnosis and lesion segmentation in CT images
Abstract Coronavirus Disease 2019 (COVID-19) still presents a pandemic trend globally.
Detecting infected individuals and analyzing their status can provide patients with proper …
Detecting infected individuals and analyzing their status can provide patients with proper …
RAGCN: Region aggregation graph convolutional network for bone age assessment from X-ray images
Rapid and accurate measurement of bone age from hand X-ray images is a significant task
for children's maturity assessment and metabolic disorders diagnosis. With the development …
for children's maturity assessment and metabolic disorders diagnosis. With the development …
[HTML][HTML] Human inventions and its environmental challenges, especially artificial intelligence: New challenges require new thinking
Artificial Intelligence (AI) is an umbrella term for a wide range of machine intelligence
systems that can replicate the behavior of humans. AI and Big Data have emerged as …
systems that can replicate the behavior of humans. AI and Big Data have emerged as …
Training and technology acceptance of ChatGPT in university students of social sciences: A netcoincidental analysis
This study analyzes the perception and usage of ChatGPT based on the technology
acceptance model (TAM). Conducting reticular analysis of coincidences (RAC) on a …
acceptance model (TAM). Conducting reticular analysis of coincidences (RAC) on a …