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A survey and tutorial on network optimization for intelligent transport system using the internet of vehicles
SK Panigrahy, H Emany - Sensors, 2023 - mdpi.com
The Internet of Things (IoT) has risen from ubiquitous computing to the Internet itself. Internet
of vehicles (IoV) is the next emerging trend in IoT. We can build intelligent transportation …
of vehicles (IoV) is the next emerging trend in IoT. We can build intelligent transportation …
Research progress and development trend of bionic harvesting technology
Y Luo, J Li, B Yao, Q Luo, Z Zhu, W Wu - Computers and Electronics in …, 2024 - Elsevier
In the context of natural selection, organisms have evolved various excellent characteristics
that can guide improved design optimization in engineering. Scholars at home and abroad …
that can guide improved design optimization in engineering. Scholars at home and abroad …
Stochastic numerical investigations for nonlinear three-species food chain system
Z Sabir - International Journal of Biomathematics, 2022 - World Scientific
In this work, three-dimensional nonlinear food chain system is numerically treated using the
computational heuristic framework of artificial neural networks (ANNs) together with the …
computational heuristic framework of artificial neural networks (ANNs) together with the …
Collaborative multidepot electric vehicle routing problem with time windows and shared charging stations
Logistics distribution using electric vehicles (EVs) is gradually becoming popular in urban
logistics networks with the promise of carbon peak and carbon neutrality. A collaborative …
logistics networks with the promise of carbon peak and carbon neutrality. A collaborative …
The architectural framework of a cyber physical logistics system for digital-twin-based supply chain control
Personalised production allows the supply chain (SC) to exist in various dynamic
fluctuations within a make-to-order (MTO) environment. An SC for personalised production …
fluctuations within a make-to-order (MTO) environment. An SC for personalised production …
Hybrid genetic firefly algorithm-based routing protocol for VANETs
Vehicular Adhoc Networks (VANETs) are used for efficient communication among the
vehicles to vehicle (V2V) infrastructure. Currently, VANETs are facing node management …
vehicles to vehicle (V2V) infrastructure. Currently, VANETs are facing node management …
VeSoNet: Traffic-aware content caching for vehicular social networks using deep reinforcement learning
Vehicular social networking is an emerging application of the Internet of Vehicles (IoV)
which aims to achieve seamless integration of vehicular networks and social networks …
which aims to achieve seamless integration of vehicular networks and social networks …
Neural network and multi-fractal dimension features for breast cancer classification from ultrasound images
Breast cancer is considered to be one of the most threatening issues in clinical practice.
However, existing breast cancer diagnosis methods face questions of complexity, cost …
However, existing breast cancer diagnosis methods face questions of complexity, cost …
A new algorithm based on Dijkstra for vehicle path planning considering intersection attribute
DD Zhu, JQ Sun - IEEE Access, 2021 - ieeexplore.ieee.org
Vehicle path planning is a key issue for car navigation systems. When path planning,
considering the time spent at intersections is more in line with the actual situation, so it is of …
considering the time spent at intersections is more in line with the actual situation, so it is of …
[HTML][HTML] A stochastic numerical computing heuristic of SIR nonlinear model based on dengue fever
The purpose of the current work is to solve the SIR nonlinear model based on dengue fever
using a stochastic numerical computing scheme together with the artificial neural networks …
using a stochastic numerical computing scheme together with the artificial neural networks …