Browsing KINDI Center for Computing Research by Publisher "Institute of Electrical and Electronics Engineers (IEEE)"
Now showing items 1-10 of 10
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A Defense Mechanism Against LOKI Attacks in Federated Learning for Enhancing Big Data Privacy in Mobile Systems
( Institute of Electrical and Electronics Engineers (IEEE) , 2024 , Conference)With the exponential growth of mobile applications, Android systems have become a significant source of big data which provides both vast opportunities and substantial privacy challenges. This makes it essential to adopt ... -
Ensemble Artificial Bee Colony Algorithm and Q-Learning for Multi-Objective Distributed Heterogeneous Flowshop Scheduling Problems with Sequence-Dependent Setup Time
( Institute of Electrical and Electronics Engineers (IEEE) , 2025 , Article)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. However, there is very little ... -
A Learning Algorithm Based on Similarity Identification and Knowledge Transfer for Dynamic Multi-Objective Optimization
( Institute of Electrical and Electronics Engineers (IEEE) , 2025 , Article)Prediction-based dynamic multi-objective optimization algorithms (DMOEAs) are widely used to explore the relationships of Pareto-optimal solutions (POSs) under continuous time steps, aiming to tackle dynamic multi-objective ... -
Noise Elimination in Deep Random Vector Functional Link Network for Tabular Classification
( Institute of Electrical and Electronics Engineers (IEEE) , 2024 , Conference)The Random Vector Functional Link Network (RVFL) is a single-layer feed-forward network characterized by randomised weights in its hidden layers. However, the randomness can introduce detrimental neurons, potentially ... -
A Novel Genetic Algorithm Optimized Adversarial Attack in Federated Learning for Android-Based Mobile Systems
( Institute of Electrical and Electronics Engineers (IEEE) , 2025 , Article)Federated Learning (FL) is gaining traction in Android-based consumer electronics, enabling collaborative model training across decentralized devices while preserving data privacy. However, the increasing adoption of FL ... -
Reinforcement Learning Assisting Artificial Bee Colony Algorithm for Scheduling Distributed Assembly Flowshops With Batch Delivery
( Institute of Electrical and Electronics Engineers (IEEE) , 2025 , Article)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 total completion time, simultaneously. ... -
A Space Transformation-Based Multiform Approach for Multiobjective Feature Selection in High-Dimensional Classification
( Institute of Electrical and Electronics Engineers (IEEE) , 2024 , Article)Improving classification performance and reducing the number of selected features are two conflicting objectives of feature selection, which can be well solved by multiobjective algorithms. However, as the dimensionality ... -
A Subspace Search-Based Evolutionary Algorithm for Large-Scale Constrained Multiobjective Optimization and Application
( Institute of Electrical and Electronics Engineers (IEEE) , 2025 , Article)Large-scale constrained multiobjective optimization problems (LSCMOPs) exist widely in science and technology. LSCMOPs pose great challenges to algorithms due to the need to optimize multiple conflicting objectives and ... -
A Virtual Domain-Driven Semi-Supervised Hyperbolic Metric Network With Domain-Class Adversarial Decoupling for Aircraft Engine Intershaft Bearings Fault diagnosis
( Institute of Electrical and Electronics Engineers (IEEE) , 2025 , Article)Aircraft engines operate under more demanding and unique environments, which require the inner components to be able to withstand extreme conditions. Intershaft bearings serve as the critical part of power transmission. ... -
Wind Speed Forecasting Using an Ensemble Deep Random Vector Functional Link Neural Network Based on Parsimonious Channel Mixing
( Institute of Electrical and Electronics Engineers (IEEE) , 2024 , Conference)The electricity generation through wind energy is rapidly expanding, primarily due to its priorities of lower carbon emissions and sustainability. Precise wind speed forecasting is essential for renewable energy conversions ...
