مركز الكندي لبحوث الحوسبة
المجموعات في هذه الوحدة
-
الذكاء المعلوماتي [109 items ]
-
الابحاث المتعددة التخصصات والتصاميم االذكية [45 items ]
-
الشبكات وخدمات البنية التحتية للمعلومات والبيانات [143 items ]
أحدث التسجيلات التي تم ارسالها
-
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 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 ... -
A Dynamic Ensemble Deep Randomized Neural Network Using Deep Autoregressive Features for Wave Height Forecasting with Missing Values
( Institute of Electrical and Electronics Engineers Inc. , 2025 , Article)Wave energy is an essential part of sustainable energy. Precise forecasts of wave height assist in the reliable control of wave energy converters and the intelligent operation of electricity generation. However, the severe ... -
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 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. ... -
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 deep learning for Alzheimer’s disease characterization and estimation
( Springer Nature , 2024 , Article)Alzheimer’s disease, which is characterized by a continual deterioration of cognitive abilities in older people, is the most common form of dementia. Neuroimaging data, for example, from magnetic resonance imaging and ... -
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 ... -
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 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 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 ... -
Shipping economic forecasting: recent developments, applications, and future directions
( Taylor and Francis , 2025 , Article)Forecasting is vital in shipping economics and directly affects the business decisions of shipping companies and the quality development of the shipping markets. This study critically reviews variables, methods, and results ... -
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. ... -
Dynamic economic dispatch of multi-area wind-solar-thermal power systems with fractional order comprehensive learning differential evolution
( Elsevier , 2025 , Article)The significance of multi-area dynamic economic dispatch (MADED) is amplified by the integration of wind and solar energy sources which introduces considerable fluctuations. In this work, a MADED model incorporating wind ... -
Economic emission dispatch of power systems considering uncertainty of wind-solar-hydro with fractional order multi-objective differential evolution
( Elsevier , 2025 , Article)The integration of renewable energy brings significant uncertainty to the operation of power systems. Multi-objective economic emission dispatch (MOEED) becomes an important way to reduce operating costs and emissions under ... -
Auxiliary population-assisted differential evolution for multi-area economic dispatch considering valve point effects
( Elsevier , 2025 , Article)Multi-area economic dispatch (MAED) is an indispensable task in the power system's operation. Nevertheless, the valve point effects of generating units make the problem highly nonlinear and non-convex. In this paper, a ... -
A review on metaheuristics for solving home health care routing and scheduling problems
( Elsevier , 2025 , Article)Nowadays, the healthcare of elderly people catches wide attention since the increase of aging population puts significant pressure on public medical resources. The population aging and scarce care resources are likely to ... -
Beyond a single solution: Liquefied natural gas process optimization using niching-enhanced meta-heuristics
( Elsevier , 2025 , Article)The escalating global energy demand and the imperative to mitigate climate change necessitate optimizing the natural gas liquefaction process to enhance energy efficiency, reduce costs, and improve sustainability. Traditional ... -
Bayesian forward regularization replacing Ridge in online randomized neural network with multiple output layers
( Elsevier , 2025 , Article)Forward regularization (-F) with unsupervised knowledge was advocated to replace canonical Ridge regularization (-R) in online linear learners, as it achieved a lower relative regret boundary. However, we observe that -F ... -
Drone on-demand delivery routing problem considering order splitting and battery swapping
( Elsevier , 2025 , Article)The use of drone delivery has catalyzed technological innovation within the logistics industry. This delivery mode can reduce on-demand delivery times by up to 50 %, while also significantly lowering labor costs and ...
RSS 1.0