Research Units: Recent submissions
Now showing items 1-20 of 5708
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Alzheimer’s disease diagnosis from MRI and SWI fused image using self adaptive differential evolutionary RVFL classifier
( Elsevier , 2025 , Article)Alzheimer’s disease (AD) is a progressive neurodegenerative disorder that involves gradual memory loss and eventually leads to severe cognitive decline at the final stage. Advanced neuroimaging modalities, including magnetic ... -
A meta-heuristic algorithm combined with deep reinforcement learning for multi-sensor positioning layout problem in complex environment
( Elsevier , 2025 , Article)In a multi-sensor positioning system (MSPS), the layout of sensors plays a crucial role in determining the system’s performance. Therefore, addressing the sensor layout problem (SLP) within the MSPS is an essential approach ... -
Your data is not perfect: Towards cross-domain out-of-distribution detection in class-imbalanced data
( Elsevier , 2024 , Article)Out-of-distribution detection (OOD detection) aims to detect test samples drawn from a distribution that is different from the training distribution, in order to prevent models trained on in-distribution (ID) data from ... -
A single-objective Sequential Search Assistance-based Multi-Objective Algorithm Framework
( Elsevier , 2025 , Article)In recent years, multi-objective optimization has garnered significant attention from researchers. Evolutionary algorithms are proven to be highly effective in solving complex optimization problems in plenty of cases. ... -
Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection
( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2025 , Article)This paper focuses on a significant yet challenging task: out-of-distribution detection (OOD detection), which aims to distinguish and reject test samples with semantic shifts, so as to prevent models trained on in-distribution ... -
An individual adaptive evolution and regional collaboration based evolutionary algorithm for large-scale constrained multiobjective optimization problems
( Elsevier , 2025 , Article)Large-scale constrained multiobjective optimization problems (LSCMOPs) refer to constrained multiobjective optimization problems (CMOPs) with large-scale decision variables. When using evolutionary algorithms to solve ... -
A Reinforced Neighborhood Search Method Combined With Genetic Algorithm for Multi-Objective Multi-Robot Transportation System
( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2025 , Article)With the rapid advancement of artificial intelligence, autonomous multi-robot systems have been successfully applied to various domains. Therefore, developing intelligent routing and scheduling systems to efficiently ... -
Differential evolution-based mixture distribution models for wind energy potential assessment: A comparative study for coastal regions of China
( Elsevier , 2025 , Article)Mixture distributions generally have higher flexibility than single distributions in describing wind speeds. However, the determination of their components is critical. This work evaluates suitable distributions for the ... -
High frequency volatility forecasting and risk assessment using neural networks-based heteroscedasticity model
( Elsevier , 2025 , Article)High frequency volatility forecasting is essential for timely risk management and informed decision-making in dynamic financial markets. However, accurate forecasting is challenging due to the rapid nature of market movements ... -
Wave energy forecasting: A state-of-the-art survey and a comprehensive evaluation
( Elsevier , 2025 , Article)Wave energy, a promising renewable energy source, has the potential to diversify the global energy mix significantly. Accurate forecasting of significant wave height (SWH) is crucial for enhancing the efficiency and ... -
Underwater Acoustic Signal Denoising Algorithms: A Survey of the State of the Art
( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2025 , Article)Underwater acoustic signal (UAS) denoising is crucial for enhancing the reliability of underwater communication and monitoring systems by mitigating the effects of noise and improving signal clarity. The complex and dynamic ... -
Complementary Learning Subnetworks towards Parameter-Efficient Class-Incremental Learning
( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2025 , Article)In the scenario of class-incremental learning (CIL), deep neural networks have to adapt their model parameters to non-stationary data distributions, e.g., the emergence of new classes over time. To mitigate the catastrophic ... -
Heteroscedastic ensemble deep random vector functional link neural network with multiple output layers for High Frequency Volatility Forecasting and Risk Assessment
( Elsevier , 2025 , Article)Accurate volatility forecasting is crucial for the efficient management of financial systems. However, the dynamic nature and significant variability in financial time series data pose substantial challenges to achieving ... -
The 2022 FIFA world cup and the post-colonial narrative examined
( Taylor and Francis , 2024 , Book chapter)The 2022 FIFA World Cup, hosted by Qatar, marked a historically watershed moment. From an inclusively representational aspect, it was the first World Cup held by an Arab and Muslim nation. Qatar's successful bid to host ... -
The 2022 FIFA world cup in Qatar: Global and local perspectives
( Taylor and Francis , 2024 , Book)This book offers an in-depth analysis of the 2022 FIFA World Cup in Qatar. The first World Cup to be held in the Middle East, this was a unique sporting mega-event, and this book explores its wider significance across ... -
Euclidean and Poincaré space ensemble Xgboost
( Elsevier , 2024 , Article)The Hyperbolic space has garnered attention for its unique properties and efficient representation of hierarchical structures. Recent studies have explored hyperbolic alternatives to hyperplane-based classifiers, such as ... -
Stacked Ensemble Deep Random Vector Functional Link Network with Residual Learning for Medium-Scale Time-Series Forecasting
( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2025 , Article)The deep random vector functional link (dRVFL) and ensemble dRVFL (edRVFL) succeed in various tasks and achieve state-of-the-art performance compared with other randomized neural networks (NNs). However, existing edRVFL ... -
Gastrointestinal illness among attendees of the FIFA Football World Cup 2022 in Qatar
( Elsevier , 2025 , Article)ObjectivesMass gathering events may facilitate the transmission of foodborne diseases. We determined the presentations and causative organisms of gastrointestinal illness among the attendees of the Fédération Internationale ... -
Qatar’s genetic counseling landscape: Current insights and future prospects
( Elsevier , 2024 , Article)Genetic counseling is a dynamic and rapidly growing field. In Qatar, the significance of genetic counseling is underscored by the distinctive demographic characteristics of the population, including elevated rates of ... -
Adipose-Derived Stromal Cells and Cancer-Associated Fibroblasts: Interactions and Implications in Tumor Progression
( Multidisciplinary Digital Publishing Institute (MDPI) , 2024 , Article)Adipose-derived stromal cells (ASCs) and cancer-associated fibroblasts (CAFs) play pivotal roles in the tumor microenvironment (TME), significantly influencing cancer progression and metastasis. This review explores the ...
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