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Internet of Things (IoT) security with blockchain technology: A state-of-the-art review
With the rapid enhancement in the design and development of the Internet of Things creates
a new research interest in the adaptation in industrial domains. It is due to the impact of …
a new research interest in the adaptation in industrial domains. It is due to the impact of …
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 …
Progress, challenges and trends on vision sensing technologies in automatic/intelligent robotic welding: State-of-the-art review
Q Guo, Z Yang, J Xu, Y Jiang, W Wang, Z Liu… - Robotics and computer …, 2024 - Elsevier
Welding is a method of realizing material connections, and the development of modern
sensing technology is pushing this traditional process towards automation and intelligence …
sensing technology is pushing this traditional process towards automation and intelligence …
[HTML][HTML] X-ray diffraction data analysis by machine learning methods—a review
X-ray diffraction (XRD) is a proven, powerful technique for determining the phase
composition, structure, and microstructural features of crystalline materials. The use of …
composition, structure, and microstructural features of crystalline materials. The use of …
Exploring the intersection of artificial intelligence and clinical healthcare: a multidisciplinary review
Artificial intelligence (AI) plays a more and more important role in our everyday life due to the
advantages that it brings when used, such as 24/7 availability, a very low percentage of …
advantages that it brings when used, such as 24/7 availability, a very low percentage of …
A short review on supervised machine learning and deep learning techniques in computer vision
AA Nafea, SA Alameri, RR Majeed… - … Journal of Machine …, 2024 - mesopotamian.press
In last years, computer vision has shown important advances, mainly using the application of
supervised machine learning (ML) and deep learning (DL) techniques. The objective of this …
supervised machine learning (ML) and deep learning (DL) techniques. The objective of this …
Machine learning for millimeter wave and terahertz beam management: A survey and open challenges
Next-generation wireless communication networks will benefit from beamforming gain to
utilize higher bandwidths at millimeter wave (mmWave) and terahertz (THz) bands. For high …
utilize higher bandwidths at millimeter wave (mmWave) and terahertz (THz) bands. For high …
QoS-ledger: Smart contracts and metaheuristic for secure quality-of-service and cost-efficient scheduling of medical-data processing
Quality-of-service (QoS) is the term used to evaluate the overall performance of a service. In
healthcare applications, efficient computation of QoS is one of the mandatory requirements …
healthcare applications, efficient computation of QoS is one of the mandatory requirements …
Applications of artificial intelligence in orthopaedic surgery
F Farhadi, MR Barnes, HR Sugito, JM Sin… - Frontiers in medical …, 2022 - frontiersin.org
The practice of medicine is rapidly transforming as a result of technological breakthroughs.
Artificial intelligence (AI) systems are becoming more and more relevant in medicine and …
Artificial intelligence (AI) systems are becoming more and more relevant in medicine and …
Dataset meta-level and statistical features affect machine learning performance
What dataset features affect machine learning (ML) performance has primarily been
unknown in the current literature. This study examines the impact of tabular datasets' …
unknown in the current literature. This study examines the impact of tabular datasets' …