Transformer for skeleton-based action recognition: A review of recent advances

W **n, R Liu, Y Liu, Y Chen, W Yu, Q Miao - Neurocomputing, 2023 - Elsevier
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 …

[HTML][HTML] Artificial neural networks in supply chain management, a review

M Soori, B Arezoo, R Dastres - Journal of Economy and Technology, 2023 - Elsevier
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 …

An environmental-based perspective framework: integrating IoT technology into a sustainable automotive supply chain

A El Jaouhari, J Arif, A Samadhiya, A Kumar… - Benchmarking: An …, 2024 - emerald.com
Purpose Over the next decade, humanity is going to face big environmental problems, and
considering these serious issues, businesses are adopting environmentally responsible …

A clinical decision support system for heart disease prediction using deep learning

AA Almazroi, EA Aldhahri, S Bashir, S Ashfaq - IEEE Access, 2023 - ieeexplore.ieee.org
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 …

Improved artificial rabbits optimization with ensemble learning-based traffic flow monitoring on intelligent transportation system

M Ragab, HA Abdushkour, L Maghrabi, D Alsalman… - Sustainability, 2023 - mdpi.com
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 …

Smart city IoT application for road infrastructure safety and monitoring by using digital twin

A Niaz, S Khan, F Niaz, MU Shoukat… - … Conference on IT …, 2022 - ieeexplore.ieee.org
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 …

Sensors in Civil Engineering: From Existing Gaps to Quantum Opportunities

B Kantsepolsky, I Aviv - Smart Cities, 2024 - mdpi.com
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 …

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 …

Flexible magnetoelectric sensors with enhanced output performance and response time for parking spaces detection systems

P Yang, X Hu, R Li, Z Zhou, Y Gui, R Sun, D Wu… - Sensors and Actuators A …, 2025 - Elsevier
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 …

[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 …