Artificial intelligence‐enabled sensing technologies in the 5G/internet of things era: from virtual reality/augmented reality to the digital twin
With the development of 5G and Internet of Things (IoT), the era of big data‐driven product
design is booming. In addition, artificial intelligence (AI) is also emerging and evolving by …
design is booming. In addition, artificial intelligence (AI) is also emerging and evolving by …
Advances in flexible sensors for intelligent perception system enhanced by artificial intelligence
Intelligent perception means that with the assistance of artificial intelligence (AI)‐motivated
brain, flexible sensors achieve the ability of memory, learning, judgment, and reasoning …
brain, flexible sensors achieve the ability of memory, learning, judgment, and reasoning …
Machine learning for technical skill assessment in surgery: a systematic review
Accurate and objective performance assessment is essential for both trainees and certified
surgeons. However, existing methods can be time consuming, labor intensive, and subject …
surgeons. However, existing methods can be time consuming, labor intensive, and subject …
Explaining the unique nature of individual gait patterns with deep learning
Abstract Machine learning (ML) techniques such as (deep) artificial neural networks (DNN)
are solving very successfully a plethora of tasks and provide new predictive models for …
are solving very successfully a plethora of tasks and provide new predictive models for …
Artificial intelligence and machine learning in spine research
F Galbusera, G Casaroli, T Bassani - JOR spine, 2019 - Wiley Online Library
Artificial intelligence (AI) and machine learning (ML) techniques are revolutionizing several
industrial and research fields like computer vision, autonomous driving, natural language …
industrial and research fields like computer vision, autonomous driving, natural language …
A machine-learning-based prediction method for hypertension outcomes based on medical data
W Chang, Y Liu, Y Xiao, X Yuan, X Xu, S Zhang… - Diagnostics, 2019 - mdpi.com
The outcomes of hypertension refer to the death or serious complications (such as
myocardial infarction or stroke) that may occur in patients with hypertension. The outcomes …
myocardial infarction or stroke) that may occur in patients with hypertension. The outcomes …
Recent developments in human gait research: parameters, approaches, applications, machine learning techniques, datasets and challenges
Human gait provides a way of locomotion by combined efforts of the brain, nerves, and
muscles. Conventionally, the human gait has been considered subjectively through visual …
muscles. Conventionally, the human gait has been considered subjectively through visual …
[HTML][HTML] Machine learning methods for classifying human physical activity from on-body accelerometers
A Mannini, AM Sabatini - Sensors, 2010 - mdpi.com
The use of on-body wearable sensors is widespread in several academic and industrial
domains. Of great interest are their applications in ambulatory monitoring and pervasive …
domains. Of great interest are their applications in ambulatory monitoring and pervasive …
A comprehensive survey on deep gait recognition: algorithms, datasets and challenges
Gait recognition aims at identifying a person at a distance through visual cameras. With the
emergence of deep learning, significant advancements in gait recognition have achieved …
emergence of deep learning, significant advancements in gait recognition have achieved …
Explainability scenarios: towards scenario-based XAI design
CT Wolf - Proceedings of the 24th International Conference on …, 2019 - dl.acm.org
Integral to the adoption and uptake of AI systems in real-world settings is the ability for
people to make sense of and evaluate such systems, a growing area of development and …
people to make sense of and evaluate such systems, a growing area of development and …