Results 201 to 210 of about 15,475 (260)

Correction: Discrimination of missing data types in metabolomics data based on particle swarm optimization algorithm and XGBoost model. [PDF]

Sci Rep
Yuan Y, Du J, Luo J, Zhu Y, Huang Q, Zhang M.   +5 more
europepmc   +1 more source

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

Advanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao, Hongbo Wang, Naipeng Li, Shuo Wang, Yaguo Lei, Tonghai Wu, Junyi Cao   +6 more
wiley   +1 more source

A fusion deep Q-learning and particle swarm optimization algorithm for adaptive resource allocation in cloud computing circumstances. [PDF]

Sci Rep
Al-Jumaili AHA, Seno ME, Awad WK, Muniyandi RC, Hasan MK.   +4 more
europepmc   +1 more source

Optimizing the Cascade Deep Neural Network Parameters Using an Egret Swarm Optimisation Algorithm: An Application to PID Tuning for the AVR with Shallow Controller. [PDF]

Biomimetics (Basel)
Elhawat M, Altınkaya H.
europepmc   +1 more source

Swarm intelligence-guided ROI selection for deep learning assessment of HER2 in colorectal cancer. [PDF]

Sci Rep
Qiu J, Liu Y, Zhang Z, Lin X, Ling C, Zhao H.   +5 more
europepmc   +1 more source

Multi-objective optimization of table tennis serve kinematic parameters using an improved particle swarm optimization algorithm. [PDF]

Front Physiol
Wang L, Li H.
europepmc   +1 more source

Enhanced Multi-Strategy Improved Animated Oat Optimization Algorithm and Its Engineering Application. [PDF]

Biomimetics (Basel)
Wang S, Yin B, Wang P, Cheng Z.
europepmc   +1 more source

A multi-source heterogeneous massive operation and maintenance data collection method for substations based on cloud-edge collaboration and artificial intelligence. [PDF]

Sci Rep
Wang J, Zhou Y, Liu N.
europepmc   +1 more source

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A survey: algorithms simulating bee swarm intelligence

Artificial Intelligence Review, 2009
Swarm intelligence is an emerging area in the field of optimization and researchers have developed various algorithms by modeling the behaviors of different swarm of animals and insects such as ants, termites, bees, birds, fishes. In 1990s, Ant Colony Optimization based on ant swarm and Particle Swarm Optimization based on bird flocks and fish schools ...
Bahriye Akay, Dervis Karaboga
exaly   +3 more sources

Survey of Swarm Intelligence Algorithms

Proceedings of the 3rd International Conference on Software Engineering and Information Management, 2020
Swarm Intelligence (SI) is an AI technique that has the collective behavior of a decentralized, self-organized system. SI has more advantages such as scalability, adaptability, collective robustness and individual simplicity and also has the ability to solve complex problems.
Suganya Selvaraj, Eunmi Choi
openaire   +1 more source