IEEE

Scalable Fuzzy Clustering With Collaborative Structure Learning and Preservation

Abstract: To partition samples into distinct clusters, Fuzzy C-Means (FCM) calculates the membership degrees of samples to cluster centers and provides soft labels, gaining significant attention in ...
IEEE

Q- Learning Based Adaptive Multipath Routing Algorithm for Data Centre Networks

Abstract: This paper presents a Q-Iearning-based adaptive multipath routing algorithm designed specifically for data center networks. By leveraging the discrete nature of Q-Iearning, the proposed ...
IEEE

A Survey on Explainable AI Using Machine Learning Algorithms Shap and Lime

Abstract: Explainable Artificial Intelligence (XAI) has emerged as a critical research area to address the opacity and lack of interpretability associated with complex machine learning models. The ...
IEEE

Reinforcement Learning Assisting Artificial Bee Colony Algorithm for Scheduling Distributed Assembly Flowshops With Batch Delivery

Abstract: In response to escalating market demands, we extend the distributed assembly flowshop problems (DAFSPs) by incorporating batch delivery, optimizing both total energy consumption (TEC) and ...
IEEE

Progressive Hypergraph Structure Learning for Fault Diagnosis of Industrial Robots

Abstract: Accurate fault diagnosis in industrial robots used in automotive assembly lines, electronics manufacturing, and precision machining operations is critical for maintaining operational safety ...
IEEE

Damage Presence, Localization, and Quantification of Aircraft Structure Based on End-to-End Deep Learning Framework

Abstract: Structural health monitoring (SHM) plays a vital role in promptly identifying structural damage in aircraft, optimizing maintenance, and reducing costs; however, it faces significant ...
IEEE

Ensemble Artificial Bee Colony Algorithm and Q-Learning for Multi-Objective Distributed Heterogeneous Flowshop Scheduling Problems with Sequence-Dependent Setup Time

Abstract: As the global economy develops and people's awareness of environmental protection increases, the efficient scheduling of production lines in workshops has received more and more attention.
IEEE

Machine Learning Algorithm for Sensitive Data Classification on Cloud Environment

Abstract: This electronic Digital information, computer systems, networks, and data are highly in need of protection from damage, unauthorized access, and internal and external threats. Cyber security ...
IEEE

An Improved Bagging of Machine Learning Algorithms to Predict Motif Structures From Protein-Protein Interaction Networks

Abstract: Protein-protein interaction (PPI) networks play a vital role in the functional organization of cellular systems. Recurring subgraph patterns with these networks, known as motif structures, ...
IEEE

FLSN-MVO: Edge Computing and Privacy Protection Based on Federated Learning Siamese Network With Multi-Verse Optimization Algorithm for Industry 5.0

Abstract: With the development of deep learning technology, artificial intelligence has important applications in all aspects of society, but the lack of data has become a vital factor restricting the ...
IEEE

Surgical Suturing Skill Assessment Using Estimated Hand Roll Angle from a Deep-learning Computer Vision Algorithm

Abstract: This paper proposes a deep-learning computer vision algorithm to estimate hand roll angles for metric-based assessment of surgical suturing skills. The number of rolls metric, previously ...