A review on machine learning styles in computer vision—techniques and future directions
Computer applications have considerably shifted from single data processing to machine
learning in recent years due to the accessibility and availability of massive volumes of data …
learning in recent years due to the accessibility and availability of massive volumes of data …
Multimodal learning with graphs
Artificial intelligence for graphs has achieved remarkable success in modelling complex
systems, ranging from dynamic networks in biology to interacting particle systems in physics …
systems, ranging from dynamic networks in biology to interacting particle systems in physics …
From google gemini to openai q*(q-star): A survey of reshaping the generative artificial intelligence (ai) research landscape
This comprehensive survey explored the evolving landscape of generative Artificial
Intelligence (AI), with a specific focus on the transformative impacts of Mixture of Experts …
Intelligence (AI), with a specific focus on the transformative impacts of Mixture of Experts …
A review of chatgpt applications in education, marketing, software engineering, and healthcare: Benefits, drawbacks, and research directions
M Fraiwan, N Khasawneh - arXiv preprint arXiv:2305.00237, 2023 - arxiv.org
ChatGPT is a type of artificial intelligence language model that uses deep learning
algorithms to generate human-like responses to text-based prompts. The introduction of the …
algorithms to generate human-like responses to text-based prompts. The introduction of the …
The importance of resource awareness in artificial intelligence for healthcare
Artificial intelligence and machine learning (AI/ML) models have been adopted in a wide
range of healthcare applications, from medical image computing and analysis to continuous …
range of healthcare applications, from medical image computing and analysis to continuous …
Artificial intelligence and automation in endoscopy and surgery
Modern endoscopy relies on digital technology, from high-resolution imaging sensors and
displays to electronics connecting configurable illumination and actuation systems for …
displays to electronics connecting configurable illumination and actuation systems for …
Harnessing big data analytics for healthcare: A comprehensive review of frameworks, implications, applications, and impacts
Big Data Analytics (BDA) has garnered significant attention in both academia and industries,
particularly in sectors such as healthcare, owing to the exponential growth of data and …
particularly in sectors such as healthcare, owing to the exponential growth of data and …
Mm-tta: multi-modal test-time adaptation for 3d semantic segmentation
Test-time adaptation approaches have recently emerged as a practical solution for handling
domain shift without access to the source domain data. In this paper, we propose and …
domain shift without access to the source domain data. In this paper, we propose and …
A survey on underwater computer vision
SP González-Sabbagh, A Robles-Kelly - ACM Computing Surveys, 2023 - dl.acm.org
Underwater computer vision has attracted increasing attention in the research community
due to the recent advances in underwater platforms such as of rovers, gliders, autonomous …
due to the recent advances in underwater platforms such as of rovers, gliders, autonomous …
Artificial intelligence foundation and pre-trained models: Fundamentals, applications, opportunities, and social impacts
A Kolides, A Nawaz, A Rathor, D Beeman… - … Modelling Practice and …, 2023 - Elsevier
With the emergence of foundation models (FMs) that are trained on large amounts of data at
scale and adaptable to a wide range of downstream applications, AI is experiencing a …
scale and adaptable to a wide range of downstream applications, AI is experiencing a …