[HTML][HTML] Review of artificial intelligence and machine learning technologies: Classification, restrictions, opportunities and challenges

RI Mukhamediev, Y Popova, Y Kuchin, E Zaitseva… - Mathematics, 2022 - mdpi.com
Artificial intelligence (AI) is an evolving set of technologies used for solving a wide range of
applied issues. The core of AI is machine learning (ML)—a complex of algorithms and …

Systematic review of digital twin technology and applications

JF Yao, Y Yang, XC Wang, XP Zhang - Visual computing for industry …, 2023 - Springer
As one of the most important applications of digitalization, intelligence, and service, the
digital twin (DT) breaks through the constraints of time, space, cost, and security on physical …

A deep learning-enhanced Digital Twin framework for improving safety and reliability in human–robot collaborative manufacturing

S Wang, J Zhang, P Wang, J Law, R Calinescu… - Robotics and computer …, 2024 - Elsevier
Abstract In Industry 5.0, Digital Twins bring in flexibility and efficiency for smart
manufacturing. Recently, the success of artificial intelligence techniques such as deep …

Alzheimer's disease detection using deep learning on neuroimaging: a systematic review

MG Alsubaie, S Luo, K Shaukat - Machine Learning and Knowledge …, 2024 - mdpi.com
Alzheimer's disease (AD) is a pressing global issue, demanding effective diagnostic
approaches. This systematic review surveys the recent literature (2018 onwards) to …

Multi-modal remote perception learning for object sensory data

NA Almujally, AA Rafique, N Al Mudawi… - Frontiers in …, 2024 - frontiersin.org
Introduction When it comes to interpreting visual input, intelligent systems make use of
contextual scene learning, which significantly improves both resilience and context …

Advancing precision agriculture: The potential of deep learning for cereal plant head detection

A Sanaeifar, ML Guindo, A Bakhshipour… - … and Electronics in …, 2023 - Elsevier
Cereal plant heads must be identified precisely and effectively in a range of agricultural
applications, including yield estimation, disease detection, and breeding. Traditional …

Automatic fruit picking technology: A comprehensive review of research advances

J Zhang, N Kang, Q Qu, L Zhou, H Zhang - Artificial Intelligence Review, 2024 - Springer
In recent years, the fruit industry has become an important part of agricultural development,
and fruit harvesting is a key stage in the production process. However, picking fruits during …

Augmented reality (AR) for surgical robotic and autonomous systems: state of the art, challenges, and solutions

J Seetohul, M Shafiee, K Sirlantzis - Sensors, 2023 - mdpi.com
Despite the substantial progress achieved in the development and integration of augmented
reality (AR) in surgical robotic and autonomous systems (RAS), the center of focus in most …

YOLO-TLA: an efficient and lightweight small object detection model based on YOLOv5

CL Ji, T Yu, P Gao, F Wang, RY Yuan - Journal of Real-Time Image …, 2024 - Springer
Object detection, a crucial aspect of computer vision, has seen significant advancements in
accuracy and robustness. Despite these advancements, practical applications still face …

[HTML][HTML] Impact of artificial intelligence on aeronautics: An industry-wide review

A Zaoui, D Tchuente, SF Wamba… - Journal of Engineering …, 2024 - Elsevier
Curiously, there are few contributions in the scientific literature on the subject of artificial
intelligence (AI) and its impact on aeronautics. However, many communications and reports …