Qatar University Institutional Repository: Recent submissions
Now showing items 1081-1100 of 30884
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Android Malware Detection and Classification using Stacked Machine Learning
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Conference)The widespread use of Android smartphones in daily life can be attributed to the extensive prevalence stemming from the Android OS and the availability of open-source applications. People have become accustomed to performing ... -
Facilitators, barriers, and impact of e-learning on healthcare professionals in primary healthcare settings: An integrative review of literature
( Hamad bin Khalifa University Press (HBKU Press) , 2024 , Article)Background: The Primary Health Care Corporation in Qatar uses continuing professional development (CPD) to improve the knowledge and practices of healthcare professionals (HCPs). Due to COVID-19, CPD delivery has shifted ... -
Supportive interventions for family caregivers of adults with mental illness: An integrative review
( Hamad Bin Khalifa University Press (HBKUP) , 2024 , Article Review)Background: People of all ages, genders, social classes, income levels, and geographical regions can be affected by mental illness. Families of individuals diagnosed with mental illnesses face significant burdens, particularly ... -
Reinforcement learning-assisted evolutionary algorithm: A survey and research opportunities
( Elsevier , 2024 , Article)Evolutionary algorithms (EA), a class of stochastic search methods based on the principles of natural evolution, have received widespread acclaim for their exceptional performance in various real-world optimization problems. ... -
Performance assessment and exhaustive listing of 500+ nature-inspired metaheuristic algorithms
( Elsevier , 2023 , Article)Metaheuristics are popularly used in various fields, and they have attracted much attention in the scientific and industrial communities. In recent years, the number of new metaheuristic names has been continuously growing. ... -
Large-scale power system multi-area economic dispatch considering valve point effects with comprehensive learning differential evolution
( Elsevier , 2024 , Article)The role of multi-area economic dispatch (MAED) in power system operation is increasingly significant. It is a non-linear and multi-constraint problem with many local extremes when considering the valve point effects, ... -
Benchmark problems for large-scale constrained multi-objective optimization with baseline results
( Elsevier , 2024 , Article)The interests in evolutionary constrained multiobjective optimization are rapidly increasing during the past two decades. However, most related studies are limited to small-scale problems, despite the fact that many practical ... -
AI-powered malware detection with Differential Privacy for zero trust security in Internet of Things networks
( Elsevier , 2024 , Article)The widespread usage of Android-powered devices in the Internet of Things (IoT) makes them susceptible to evolving cybersecurity threats. Most healthcare devices in IoT networks, such as smart watches, smart thermometers, ... -
Accurate parameters extraction of photovoltaic models with multi-strategy gaining-sharing knowledge-based algorithm
( Elsevier , 2024 , Article)The determination of photovoltaic (PV) model parameters has essential theoretical and practical significance for the performance evaluation, power monitoring, and power generation efficiency calculation of PV systems. In ... -
Large-scale data classification based on the integrated fusion of fuzzy learning and graph neural network
( Elsevier , 2024 , Article)Deep learning and fuzzy models provide powerful and practical techniques for solving large-scale deep-learning tasks. The fusion technique on deep learning and fuzzy system are generally classified into ensemble and ... -
Knowledge-embedded constrained multiobjective evolutionary algorithm based on structural network control principles for personalized drug targets recognition in cancer
( Elsevier , 2024 , Article)The structural network control principle for identifying personalized drug targets (SNCPDTs) is a kind of constrained multiobjective optimization (CMO) problem with NP-hard features, which makes traditional mathematical ... -
Trial-based dominance for comparing both the speed and accuracy of stochastic optimizers with standard non-parametric tests
( Elsevier , 2023 , Article)Non-parametric tests can determine the better of two stochastic optimization algorithms when benchmarking results are ordinal-like the final fitness values of multiple trials-but for many benchmarks, a trial can also ... -
Parallel fractional dominance MOEAs for feature subset selection in big data
( Elsevier , 2024 , Article)In this paper, we solve the feature subset selection (FSS) problem with three objective functions namely, cardinality, area under receiver operating characteristic curve (AUC) and Matthews correlation coefficient (MCC) ... -
UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data
( Elsevier , 2024 , Article)Feature selection (FS) is a crucial technique in machine learning and data mining, serving a variety of purposes such as simplifying model construction, facilitating knowledge discovery, improving computational efficiency, ... -
Deep reinforcement learning as multiobjective optimization benchmarks: Problem formulation and performance assessment
( Elsevier , 2024 , Article)The successful deployment of Deep learning in several challenging tasks has been translated into complex control problems from different domains through Deep Reinforcement Learning (DRL). Although DRL has been extensively ... -
Assessing the Effect of Model Poisoning Attacks on Federated Learning in Android Malware Detection
( Association for Computing Machinery , 2024 , Conference)Android devices are central to our daily lives, which leads to an increase in mobile security threats. Attackers try to exploit vulnerabilities and steal personal information from the installed applications on these devices. ... -
Ensemble reinforcement learning: A survey
( Elsevier , 2023 , Article Review)Reinforcement Learning (RL) has emerged as a highly effective technique for addressing various scientific and applied problems. Despite its success, certain complex tasks remain challenging to be addressed solely with a ... -
Ensemble meta-heuristics and Q-learning for staff dissatisfaction constrained surgery scheduling and rescheduling
( Elsevier , 2024 , Article)In this study, we investigate the multi-objective surgery scheduling and rescheduling problems with considering medical staff dissatisfaction and fuzzy surgery time. Rescheduling is activated when emergency patients arrive. ... -
Low-rank and global-representation-key-based attention for graph transformer
( Elsevier , 2023 , Article)Transformer architectures have been applied to graph-specific data such as protein structure and shopper lists, and they perform accurately on graph/node classification and prediction tasks. Researchers have proved that ... -
Integrated scheduling of multi-constraint open shop and vehicle routing: Mathematical model and learning-driven brain storm optimization algorithm
( Elsevier , 2024 , Article)Recent years have witnessed a surge of interest in integrated production and distribution scheduling problems which can achieve an overall optimization of the production and distribution activities. However, integrated ...
