[HTML][HTML] A comparison review of transfer learning and self-supervised learning: Definitions, applications, advantages and limitations
Deep learning has emerged as a powerful tool in various domains, revolutionising machine
learning research. However, one persistent challenge is the scarcity of labelled training …
learning research. However, one persistent challenge is the scarcity of labelled training …
[HTML][HTML] Comprehensive systematic review of information fusion methods in smart cities and urban environments
Smart cities result from integrating advanced technologies and intelligent sensors into
modern urban infrastructure. The Internet of Things (IoT) and data integration are pivotal in …
modern urban infrastructure. The Internet of Things (IoT) and data integration are pivotal in …
[HTML][HTML] Reliable deep learning framework for the ground penetrating radar data to locate the horizontal variation in levee soil compaction
The degree of compaction in the levee building materials is a crucial factor that affects the
piping phenomena. The density and compaction of the soil strata determine the structural …
piping phenomena. The density and compaction of the soil strata determine the structural …
AI and human-robot interaction: A review of recent advances and challenges
A Obaigbena, OA Lottu, ED Ugwuanyi… - GSC Advanced …, 2024 - gsconlinepress.com
The integration of artificial intelligence (AI) into human-robot interaction (HRI) has witnessed
significant advancements in recent years, revolutionizing the way humans and robots …
significant advancements in recent years, revolutionizing the way humans and robots …
[HTML][HTML] Trustworthy deep learning framework for the detection of abnormalities in X-ray shoulder images
Musculoskeletal conditions affect an estimated 1.7 billion people worldwide, causing intense
pain and disability. These conditions lead to 30 million emergency room visits yearly, and …
pain and disability. These conditions lead to 30 million emergency room visits yearly, and …
A trustworthy and explainable framework for benchmarking hybrid deep learning models based on chest X-ray analysis in CAD systems
Evaluating the trustworthiness of deep learning-based computer-aided diagnosis (CAD)
systems is challenging. There is a need to optimize trust and performance in model …
systems is challenging. There is a need to optimize trust and performance in model …
[HTML][HTML] Shedding light on ai in radiology: A systematic review and taxonomy of eye gaze-driven interpretability in deep learning
X-ray imaging plays a crucial role in diagnostic medicine. Yet, a significant portion of the
global population lacks access to this essential technology due to a shortage of trained …
global population lacks access to this essential technology due to a shortage of trained …
Explainable ai for safe and trustworthy autonomous driving: A systematic review
Artificial Intelligence (AI) shows promising applications for the perception and planning tasks
in autonomous driving (AD) due to its superior performance compared to conventional …
in autonomous driving (AD) due to its superior performance compared to conventional …
The Considerations of Trustworthy AI Components in Generative AI; A Letter to Editor
AS Albahri, YL Khaleel… - … Data Science and …, 2023 - journals.mesopotamian.press
Abstract Dear Editor: In navigating the ever-expanding realms of Artificial Intelligence (AI)
across diverse domains, particularly within the purviews of Generative AI, it becomes …
across diverse domains, particularly within the purviews of Generative AI, it becomes …
Benchmarking Instance-Centric Counterfactual Algorithms for XAI: From White Box to Black Box
This study investigates the impact of machine learning models on the generation of
counterfactual explanations by conducting a benchmark evaluation over three different types …
counterfactual explanations by conducting a benchmark evaluation over three different types …