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    Browsing Interdisciplinary & Smart Design by Type "Article"

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    Now showing items 1-20 of 23

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      • Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection 

        Fang, Xiang; Easwaran, Arvind; Genest, Blaise; Suganthan, Ponnuthurai Nagaratnam ( 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 ...
      • Alzheimer’s disease diagnosis from MRI and SWI fused image using self adaptive differential evolutionary RVFL classifier 

        Tripti, Goel; Verma, Shradha; Tanveer, M.; Suganthan, P.N. ( 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 ...
      • An archive-assisted multi-modal multi-objective evolutionary algorithm 

        Peng, Chen; Li, Zhimeng; Qiao, Kangjia; Suganthan, P.N.; Ban, Xuanxuan; Yu, Kunjie; Yue, Caitong; Liang, Jing... more authors ... less authors ( Elsevier , 2024 , Article)
        The multi-modal multi-objective optimization problems (MMOPs) pertain to characteristic of the decision space that exhibit multiple sets of Pareto optimal solutions that are either identical or similar. The resolution of ...
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        Assessing the effects of data selection and representation on the development of reliable E. coli sigma 70 promoter region predictors 

        Abbas, Mostafa M.; Mohie-Eldin, Mostafa M.; El-Manzalawy, Yasser ( Public Library of Science , 2015 , Article)
        As the number of sequenced bacterial genomes increases, the need for rapid and reliable tools for the annotation of functional elements (e.g., transcriptional regulatory elements) becomes more desirable. Promoters are the ...
      • Constrained large-scale multiobjective optimization based on a competitive and cooperative swarm optimizer 

        Jinlong, Zhou; Zhang, Yinggui; Suganthan, Ponnuthurai Nagaratnam ( Elsevier , 2024 , Article)
        Many engineering application problems can be modeled as constrained multiobjective optimization problems (CMOPs), which have attracted much attention. In solving CMOPs, existing algorithms encounter difficulties in balancing ...
      • Differential evolution-based mixture distribution models for wind energy potential assessment: A comparative study for coastal regions of China 

        Jun, Liu; Xiong, Guojiang; Suganthan, Ponnuthurai Nagaratnam ( 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 ...
      • Energy-efficient multi-objective distributed assembly permutation flowshop scheduling by Q-learning based meta-heuristics 

        Hui, Yu; Gao, Kaizhou; Li, Zhiwu; Suganthan, Ponnuthurai Nagaratnam ( Elsevier , 2024 , Article)
        This study addresses energy-efficient multi-objective distributed assembly permutation flowshop scheduling problems with minimisation of maximum completion time, mean of earliness and tardiness, and total carbon emission ...
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        FastRNABindR: Fast and Accurate Prediction of Protein-RNA Interface Residues 

        EL-Manzalawy, Yasser; Abbas, Mostafa; Malluhi, Qutaibah; Honavar, Vasant ( Public Library of Science (PLoS) , 2016 , Article)
        A wide range of biological processes, including regulation of gene expression, protein synthesis, and replication and assembly of many viruses are mediated by RNA-protein interactions. However, experimental determination ...
      • High frequency volatility forecasting and risk assessment using neural networks-based heteroscedasticity model 

        Aryan, Bhambu; Bera, Koushik; Natarajan, Selvaraju; Suganthan, Ponnuthurai Nagaratnam ( 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 ...
      • An individual adaptive evolution and regional collaboration based evolutionary algorithm for large-scale constrained multiobjective optimization problems 

        Kunjie, Yu; Yang, Zhenyu; Liang, Jing; Qiao, Kangjia; Qu, Boyang; Suganthan, Ponnuthurai Nagaratnam... more authors ... less authors ( 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 ...
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        A Practical and Scalable Tool to Find Overlaps between Sequences 

        Rachid, Maan Haj; Malluhi, Qutaibah ( Hindawi , 2015 , Article)
        The evolution of the next generation sequencing technology increases the demand for efficient solutions, in terms of space and time, for several bioinformatics problems. This paper presents a practical and easy-to-implement ...
      • Prediction and Feedback Assisted Evolutionary Algorithms for Scheduling Urban Traffic Signals 

        Lin, Zhongjie; Gao, Kaizhou; Duan, Peiyong; Wu, Naiqi; Suganthan, Ponnuthurai Nagaratnam ( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2025 , Article)
        With the acceleration of urbanization, the traffic congestion issue is becoming more and more prominent in large cities. The effective scheduling of urban traffic signals becomes critical. This study proposes three novel ...
      • A Reinforced Neighborhood Search Method Combined With Genetic Algorithm for Multi-Objective Multi-Robot Transportation System 

        Chen, Peng; Liang, Jing; Qiao, Kang Jia; Song, Hui; Suganthan, Ponnuthurai Nagaratnam; Dai, Lou Lei; Ban, Xuan Xuan... more authors ... less authors ( 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 ...
      • A single-objective Sequential Search Assistance-based Multi-Objective Algorithm Framework 

        Peng, Chen; Liang, Jing; Qiao, Kangjia; Ban, Xuanxuan; Suganthan, P.N.; Lin, Hongyu; Zhang, Jilong... more authors ... less authors ( 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. ...
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        Skyline Discovery and Composition of Multi-Cloud Mashup Services 

        Zhang, Fan; Hwang, Kai; Khan, Samee U.; Malluhi, Qutaibah M. ( Institute of Electrical and Electronics Engineers , 2016 , Article)
        A cloud mashup is composed of multiple services with shared datasets and integrated functionalities. For example, the elastic compute cloud (EC2) provided by Amazon Web Service (AWS), the authentication and authorization ...
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        Smoking induced salivary microbiome dysbiosis and is correlated with lipid biomarkers 

        Mohammed, Layla I.; Razali, Rozaimi; Zakaria, Zain Zaki; Benslimane, Fatiha M.; Cyprian, Farhan; Al-Asmakh, Maha... more authors ... less authors ( Springer Nature , 2024 , Article)
        Background: The oral microbiome plays an essential role in maintaining oral homeostasis and health; smoking significantly affects it, leading to microbial dysbiosis. The study aims to investigate changes in the oral ...
      • A staged fuzzy evolutionary algorithm for constrained large-scale multiobjective optimization 

        Jinlong, Zhou; Zhang, Yinggui; Yu, Fan; Yang, Xu; Suganthan, Ponnuthurai Nagaratnam ( Elsevier , 2024 , Article)
        Constrained multiobjective optimization problems (CMOPs) are prevalent in practical applications, where constraints play a significant role. Building on techniques from constrained single-objective optimization, classical ...
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        Towards robust autonomous driving systems through adversarial test set generation 

        Unal, Devrim; Catak, Ferhat Ozgur; Houkan, Mohammad Talal; Mudassir, Mohammed; Hammoudeh, Mohammad ( ISA - Instrumentation, Systems, and Automation Society , 2023 , Article)
        Correct environmental perception of objects on the road is vital for the safety of autonomous driving. Making appropriate decisions by the autonomous driving algorithm could be hindered by data perturbations and more ...
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        Underwater Acoustic Signal Denoising Algorithms: A Survey of the State of the Art 

        Gao, Ruobin; Liang, Maohan; Dong, Heng; Luo, Xuewen; Suganthan, Ponnuthurai N. ( 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 ...
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        Using the Sadakane compressed suffix tree to solve the all-pairs suffix-prefix problem 

        Rachid, Maan Haj; Malluhi, Qutaibah; Abouelhoda, Mohamed ( Hindawi , 2014 , Article)
        The all-pairs suffix-prefix matching problem is a basic problem in string processing. It has an application in the de novo genome assembly task, which is one of the major bioinformatics problems. Due to the large size of ...

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