Internet of Things (IoT) security with blockchain technology: A state-of-the-art review

AA Khan, AA Laghari, ZA Shaikh… - IEEE …, 2022 - ieeexplore.ieee.org
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 review on machine learning styles in computer vision—techniques and future directions

SV Mahadevkar, B Khemani, S Patil, K Kotecha… - Ieee …, 2022 - ieeexplore.ieee.org
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 …

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 …

[HTML][HTML] X-ray diffraction data analysis by machine learning methods—a review

VA Surdu, R Győrgy - Applied Sciences, 2023 - mdpi.com
X-ray diffraction (XRD) is a proven, powerful technique for determining the phase
composition, structure, and microstructural features of crystalline materials. The use of …

Exploring the intersection of artificial intelligence and clinical healthcare: a multidisciplinary review

CS Stafie, IG Sufaru, CM Ghiciuc, II Stafie, EC Sufaru… - Diagnostics, 2023 - mdpi.com
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 …

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 …

Machine learning for millimeter wave and terahertz beam management: A survey and open challenges

MQ Khan, A Gaber, P Schulz, G Fettweis - IEEE Access, 2023 - ieeexplore.ieee.org
Next-generation wireless communication networks will benefit from beamforming gain to
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

AA Khan, ZA Shaikh, L Baitenova, L Mutaliyeva… - Electronics, 2021 - mdpi.com
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 …

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 …

Dataset meta-level and statistical features affect machine learning performance

S Uddin, H Lu - Scientific Reports, 2024 - nature.com
What dataset features affect machine learning (ML) performance has primarily been
unknown in the current literature. This study examines the impact of tabular datasets' …