Transformer for skeleton-based action recognition: A review of recent advances
Skeleton-based action recognition has rapidly become one of the most popular and
essential research topics in computer vision. The task is to analyze the characteristics of …
essential research topics in computer vision. The task is to analyze the characteristics of …
[HTML][HTML] Artificial neural networks in supply chain management, a review
Abstract Artificial Neural Networks (ANNs) are a type of machine learning algorithm inspired
by the structure and function of the human brain. In the context of supply chain management …
by the structure and function of the human brain. In the context of supply chain management …
An environmental-based perspective framework: integrating IoT technology into a sustainable automotive supply chain
Purpose Over the next decade, humanity is going to face big environmental problems, and
considering these serious issues, businesses are adopting environmentally responsible …
considering these serious issues, businesses are adopting environmentally responsible …
A clinical decision support system for heart disease prediction using deep learning
Unfortunately, heart disease is currently the primary cause of mortality worldwide and its
incidence is increasing. Detecting heart disease in its initial stages before a cardiac event …
incidence is increasing. Detecting heart disease in its initial stages before a cardiac event …
Improved artificial rabbits optimization with ensemble learning-based traffic flow monitoring on intelligent transportation system
Traffic flow monitoring plays a crucial role in Intelligent Transportation Systems (ITS) by
dealing with real-time data on traffic situations and allowing effectual traffic management …
dealing with real-time data on traffic situations and allowing effectual traffic management …
Smart city IoT application for road infrastructure safety and monitoring by using digital twin
Industrial internet of things (IIoT) enhances automation and safety in transportation flow and
new technology must meet the agents. Digital twins in road infrastructure will improve public …
new technology must meet the agents. Digital twins in road infrastructure will improve public …
Sensors in Civil Engineering: From Existing Gaps to Quantum Opportunities
The vital role of civil engineering is to enable the development of modern cities and
establish foundations for smart and sustainable urban environments of the future. Advanced …
establish foundations for smart and sustainable urban environments of the future. Advanced …
Mathematical method for optimising the transport and logistics industry
SM Gaidar, MY Karelina, AA Akulov… - 2022 Systems of …, 2022 - ieeexplore.ieee.org
The aim of the work is to create a concept for the development of intelligent transport
systems (ITS) to improve the efficiency of transport services. The scientific and practical …
systems (ITS) to improve the efficiency of transport services. The scientific and practical …
Flexible magnetoelectric sensors with enhanced output performance and response time for parking spaces detection systems
To enhance the intelligence of parking services and reduce the time required for parking
space searches, the parking space detection system within intelligent transportation relies …
space searches, the parking space detection system within intelligent transportation relies …
[PDF][PDF] A Blockchain IoT (BIoT) Integrated into Futuristic Networking for Industry
NN Ahamed, R Vignesh - International Journal of Mathematical …, 2022 - researchgate.net
Blockchain innovation is the most confided in across the board cryptosystem that gives a
structure to getting exchanges over networks because of its irreversibility and permanence …
structure to getting exchanges over networks because of its irreversibility and permanence …