[HTML][HTML] A systematic review of Explainable Artificial Intelligence models and applications: Recent developments and future trends

A Saranya, R Subhashini - Decision analytics journal, 2023 - Elsevier
Artificial Intelligence (AI) uses systems and machines to simulate human intelligence and
solve common real-world problems. Machine learning and deep learning are Artificial …

Quo vadis artificial intelligence?

Y Jiang, X Li, H Luo, S Yin, O Kaynak - Discover Artificial Intelligence, 2022 - Springer
The study of artificial intelligence (AI) has been a continuous endeavor of scientists and
engineers for over 65 years. The simple contention is that human-created machines can do …

Study on artificial intelligence: The state of the art and future prospects

C Zhang, Y Lu - Journal of Industrial Information Integration, 2021 - Elsevier
In the world, the technological and industrial revolution is accelerating by the widespread
application of new generation information and communication technologies, such as AI, IoT …

Using artificial intelligence to improve public health: a narrative review

DB Olawade, OJ Wada, AC David-Olawade… - Frontiers in Public …, 2023 - frontiersin.org
Artificial intelligence (AI) is a rapidly evolving tool revolutionizing many aspects of
healthcare. AI has been predominantly employed in medicine and healthcare …

A survey on intelligent Internet of Things: Applications, security, privacy, and future directions

O Aouedi, TH Vu, A Sacco, DC Nguyen… - … surveys & tutorials, 2024 - ieeexplore.ieee.org
The rapid advances in the Internet of Things (IoT) have promoted a revolution in
communication technology and offered various customer services. Artificial intelligence (AI) …

Tools and techniques for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)/COVID-19 detection

SH Safiabadi Tali, JJ LeBlanc, Z Sadiq… - Clinical microbiology …, 2021 - journals.asm.org
SUMMARY The coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute
respiratory disease coronavirus 2 (SARS-CoV-2), has led to millions of confirmed cases and …

Concealed object detection

DP Fan, GP Ji, MM Cheng… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
We present the first systematic study on concealed object detection (COD), which aims to
identify objects that are visually embedded in their background. The high intrinsic similarities …

U-net and its variants for medical image segmentation: A review of theory and applications

N Siddique, S Paheding, CP Elkin… - IEEE access, 2021 - ieeexplore.ieee.org
U-net is an image segmentation technique developed primarily for image segmentation
tasks. These traits provide U-net with a high utility within the medical imaging community …

A survey on deep multimodal learning for computer vision: advances, trends, applications, and datasets

K Bayoudh, R Knani, F Hamdaoui, A Mtibaa - The Visual Computer, 2022 - Springer
The research progress in multimodal learning has grown rapidly over the last decade in
several areas, especially in computer vision. The growing potential of multimodal data …

Considerations for diagnostic COVID-19 tests

O Vandenberg, D Martiny, O Rochas… - Nature Reviews …, 2021 - nature.com
During the early phase of the coronavirus disease 2019 (COVID-19) pandemic, design,
development, validation, verification and implementation of diagnostic tests were actively …