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A survey on federated learning: challenges and applications
J Wen, Z Zhang, Y Lan, Z Cui, J Cai… - International Journal of …, 2023 - Springer
Federated learning (FL) is a secure distributed machine learning paradigm that addresses
the issue of data silos in building a joint model. Its unique distributed training mode and the …
the issue of data silos in building a joint model. Its unique distributed training mode and the …
Exponential distribution optimizer (EDO): a novel math-inspired algorithm for global optimization and engineering problems
M Abdel-Basset, D El-Shahat, M Jameel… - Artificial Intelligence …, 2023 - Springer
Numerous optimization problems can be addressed using metaheuristics instead of
deterministic and heuristic approaches. This study proposes a novel population-based …
deterministic and heuristic approaches. This study proposes a novel population-based …
Bioinspired algorithms for multiple sequence alignment: a systematic review and roadmap
Multiple Sequence Alignment (MSA) plays a pivotal role in bioinformatics, facilitating various
critical biological analyses, including the prediction of unknown protein structures and …
critical biological analyses, including the prediction of unknown protein structures and …
Detection algorithm of safety helmet wearing based on deep learning
L Huang, Q Fu, M He, D Jiang… - … and Computation: Practice …, 2021 - Wiley Online Library
In the production and construction of industry, safety accidents caused by unsafe behaviors
of staff often occur. In a complex construction site scene, due to improper operations by …
of staff often occur. In a complex construction site scene, due to improper operations by …
Elite archives-driven particle swarm optimization for large scale numerical optimization and its engineering applications
Y Zhang - Swarm and Evolutionary Computation, 2023 - Elsevier
Particle swarm optimization (PSO) is a very simple and effective metaheuristic algorithm.
Search operators with similar behavior may lead to the loss of diversity in the search space …
Search operators with similar behavior may lead to the loss of diversity in the search space …
An efficient interval many-objective evolutionary algorithm for cloud task scheduling problem under uncertainty
Z Zhang, M Zhao, H Wang, Z Cui, W Zhang - Information Sciences, 2022 - Elsevier
Task scheduling is an important research direction in cloud computing. The current research
on task scheduling considers mainly the design of scheduling strategies and algorithms and …
on task scheduling considers mainly the design of scheduling strategies and algorithms and …
A hybrid recommendation system with many-objective evolutionary algorithm
Recommendation system (RS) is a technology that provides accurate recommendations to
users. However, it is not comprehensive to only consider the accuracy of the …
users. However, it is not comprehensive to only consider the accuracy of the …
Manipulator grabbing position detection with information fusion of color image and depth image using deep learning
D Jiang, G Li, Y Sun, J Hu, J Yun, Y Liu - Journal of Ambient Intelligence …, 2021 - Springer
In order to ensure stable grip** performance of manipulator in a dynamic environment, a
target object grab setting model based on the candidate region suggestion network is …
target object grab setting model based on the candidate region suggestion network is …
Research hotspots and development trends of green coal mining: Exploring the path to sustainable development of coal mines
Y **ong, D Kong, G Song - Resources Policy, 2024 - Elsevier
Coal mining and utilization should not only ensure safety and efficiency, but also form the
theory and technology of green coal as soon as possible to guide the sustainable …
theory and technology of green coal as soon as possible to guide the sustainable …
A many-objective optimization based intelligent intrusion detection algorithm for enhancing security of vehicular networks in 6G
Z Zhang, Y Cao, Z Cui, W Zhang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
With accelerated ensemble of the Internet of Things technology and automotive industry,
vehicular network has been established as powerful tools. However, it is a significant …
vehicular network has been established as powerful tools. However, it is a significant …