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[HTML][HTML] Review of artificial intelligence and machine learning technologies: Classification, restrictions, opportunities and challenges
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 …
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 …
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
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 …
manufacturing. Recently, the success of artificial intelligence techniques such as deep …
Alzheimer's disease detection using deep learning on neuroimaging: a systematic review
Alzheimer's disease (AD) is a pressing global issue, demanding effective diagnostic
approaches. This systematic review surveys the recent literature (2018 onwards) to …
approaches. This systematic review surveys the recent literature (2018 onwards) to …
Multi-modal remote perception learning for object sensory data
Introduction When it comes to interpreting visual input, intelligent systems make use of
contextual scene learning, which significantly improves both resilience and context …
contextual scene learning, which significantly improves both resilience and context …
Advancing precision agriculture: The potential of deep learning for cereal plant head detection
Cereal plant heads must be identified precisely and effectively in a range of agricultural
applications, including yield estimation, disease detection, and breeding. Traditional …
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 …
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
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 …
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 …
accuracy and robustness. Despite these advancements, practical applications still face …
[HTML][HTML] Impact of artificial intelligence on aeronautics: An industry-wide review
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 …
intelligence (AI) and its impact on aeronautics. However, many communications and reports …