AI models for green communications towards 6G
Green communications have always been a target for the information industry to alleviate
energy overhead and reduce fossil fuel usage. In the current 5G and future 6G eras, there is …
energy overhead and reduce fossil fuel usage. In the current 5G and future 6G eras, there is …
A comprehensive review on artificial intelligence/machine learning algorithms for empowering the future IoT toward 6G era
MR Mahmood, MA Matin, P Sarigiannidis… - IEEE …, 2022 - ieeexplore.ieee.org
The evolution of the wireless network systems over decades has been providing new
services to the users with the help of innovative network and device technologies. In recent …
services to the users with the help of innovative network and device technologies. In recent …
A survey on evolutionary computation for complex continuous optimization
Complex continuous optimization problems widely exist nowadays due to the fast
development of the economy and society. Moreover, the technologies like Internet of things …
development of the economy and society. Moreover, the technologies like Internet of things …
Evolutionary deep learning: A survey
As an advanced artificial intelligence technique for solving learning problems, deep learning
(DL) has achieved great success in many real-world applications and attracted increasing …
(DL) has achieved great success in many real-world applications and attracted increasing …
Scheduling energy consumption-constrained workflows in heterogeneous multi-processor embedded systems
J Chen, P Han, Y Zhang, T You, P Zheng - Journal of Systems Architecture, 2023 - Elsevier
Heterogeneous multi-processor architecture which achieves rich functionalities with different
types of processors, is widely used to provide powerful calculating capability while kee** …
types of processors, is widely used to provide powerful calculating capability while kee** …
Coverage path planning of heterogeneous unmanned aerial vehicles based on ant colony system
J Chen, F Ling, Y Zhang, T You, Y Liu, X Du - Swarm and Evolutionary …, 2022 - Elsevier
Unmanned aerial vehicle (UAV) has been extensively studied and widely adopted in
practical systems owing to its effectiveness and flexibility. Although heterogeneous UAVs …
practical systems owing to its effectiveness and flexibility. Although heterogeneous UAVs …
A two-stage cooperative evolutionary algorithm with problem-specific knowledge for energy-efficient scheduling of no-wait flow-shop problem
Green scheduling in the manufacturing industry has attracted increasing attention in
academic research and industrial applications with a focus on energy saving. As a typical …
academic research and industrial applications with a focus on energy saving. As a typical …
Advanced optimization technique for scheduling IoT tasks in cloud-fog computing environments
Cloud-fog computing frameworks are emerging paradigms developed to add benefits to the
current Internet of Things (IoT) architectures. In such frameworks, task scheduling plays a …
current Internet of Things (IoT) architectures. In such frameworks, task scheduling plays a …
An adaptive clustering-based algorithm for automatic path planning of heterogeneous UAVs
Due to the high maneuverability and strong adaptability, autonomous unmanned aerial
vehicles (UAVs) are of high interest to many civilian and military organizations around the …
vehicles (UAVs) are of high interest to many civilian and military organizations around the …
Performance optimization of support vector machine with oppositional grasshopper optimization for acute appendicitis diagnosis
Preoperative differentiation of complicated and uncomplicated appendicitis is challenging.
The research goal was to construct a new intelligent diagnostic rule that is accurate, fast …
The research goal was to construct a new intelligent diagnostic rule that is accurate, fast …