Fingerprint recognition has become an invaluable and rapidly advancing technology that plays a crucial role in various daily applications. From identity authentications to justice systems, mobile payment, and even acc...
详细信息
Distributed systems are critical infrastructures for many enterprises and organizations, yet they also present challenges in fault diagnosis. To improve the efficiency and accuracy of fault diagnosis in distributed sy...
详细信息
ISBN:
(纸本)9798350352634;9798350352627
Distributed systems are critical infrastructures for many enterprises and organizations, yet they also present challenges in fault diagnosis. To improve the efficiency and accuracy of fault diagnosis in distributed systems, this paper proposes a fault diagnosis model based on the RF-LGBM algorithm. The model first utilizes LGBM for initial diagnosis and then employs RF to reclassify the two fault types with lower accuracy. The results indicate that the RF-LGBM model achieves an AUC greater than 0.96, effectively diagnosing faults in distributed systems.
As modern engineering optimisation problems become increasingly complex, a significant number of them exhibit multimodal characteristics. This implies that there are multiple local optimal solutions and a single globa...
详细信息
With the increasingly complex business environment, the rational allocation of human resources and the improvement of personnel utilization efficiency have become key factors for enterprises to maintain competitivenes...
详细信息
This study explores the integration of federated learning and Transformer models to enable collaborative and privacy-preserving deep learning for vision tasks. Federated learning is a distributed learning paradigm tha...
详细信息
ISBN:
(纸本)9798400717048
This study explores the integration of federated learning and Transformer models to enable collaborative and privacy-preserving deep learning for vision tasks. Federated learning is a distributed learning paradigm that allows training models on distributed data without sharing the original data, and Transformer models have demonstrated impressive performance in a variety of applications. We leverage the strengths of federated learning and Transformer models and apply the clustering techniques to address the challenge of privacy protection in large-scale deep learning. By combining these approaches, this research aims to develop efficient and private deep learning systems for vision applications, providing data privacy guarantees and maintaining the practicality of trained models. In the experiments, we show the proposed model can successfully identify clustering membership and perform local tasks with satisfactory accuracy and efficiency.
Currently, attacks in the networks are the most vital issue in modern society and the networks from minor to huge networks are susceptible to network threats. Various approaches exist with several advantages and limit...
详细信息
This paper explores the integration of Artificial Intelligence (AI) with that of Social-Emotional learning (SEL) interventions to address bedtime procrastination and promote better sleep hygiene. Bedtime procrastinati...
详细信息
This paper introduces an advanced short-term electricity demand forecasting model based on Recurrent Neural Networks (RNN) combined with Long Short-Term Memory (LSTM) units. This hybrid model effectively captures the ...
详细信息
In order to realize tight formation control of spherical robots, a formation control method of multi-spherical robot system was proposed based on optimization of pigeon swarm algorithm. Based on the kinematics model o...
详细信息
ISBN:
(纸本)9798350352634;9798350352627
In order to realize tight formation control of spherical robots, a formation control method of multi-spherical robot system was proposed based on optimization of pigeon swarm algorithm. Based on the kinematics model of spherical robots, the roles of spherical robots were divided into leader and follower. A PID controller was designed for stability control in x and y direction channels. According to the desired position and velocity, a corresponding fitness function is uniformly set to optimize the optimal parameters of the formation controller. Finally, the stable control of the multi-spherical robot formation is realized in the simulation environment.
To develop a specific learning environment using augmented reality (AR) and virtual reality (VR) technology, we create immersive and interactive educational experiences that enhance engagement, improve understanding o...
详细信息
暂无评论