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Browsing Interdisciplinary & Smart Design by Title 
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    Browsing Interdisciplinary & Smart Design by Title

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    Now showing items 23-42 of 45

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        A Novel Genetic Algorithm Optimized Adversarial Attack in Federated Learning for Android-Based Mobile Systems 

        Nawshin, Faria; Unal, Devrim; Hammoudeh, Mohammad; Suganthan, Ponnuthurai N. ( 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 ...
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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 ...
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        Privacy preserving computation in cloud using noise-free fully homomorphic encryption (FHE) schemes 

        Wang, Yongge; Malluhi, Qutaibah M. ( Springer Verlag , 2016 , Conference)
        With the wide adoption of cloud computing paradigm, it is important to develop appropriate techniques to protect client data privacy in the cloud. Encryption is one of the major techniques that could be used to achieve ...
      • 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; ... more 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 review on metaheuristics for solving home health care routing and scheduling problems 

        Dong, Jie; Gao, Kaizhou; Suganthan, Ponnuthurai Nagaratnam; Huang, Min; Zhu, Lihua; ... more authors ( 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 ...
      • Shipping economic forecasting: recent developments, applications, and future directions 

        Mo, Jixian; Gao, Ruobin; Yuen, Kum Fai; Suganthan, Ponnuthurai Nagaratnam ( 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 ...
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        Similarity Group-by Operators for Multi-Dimensional Relational Data 

        Tang, Mingjie; Tahboub, Ruby Y.; Aref, Walid G.; Atallah, Mikhail J.; Malluhi, Qutaibah M.; ... more authors ( IEEE Computer Society , 2016 , Conference)
        The SQL group-by operator plays an important role in summarizing and aggregating large datasets in a data analytics stack. While the standard group-by operator, which is based on equality, is useful in several applications, ...
      • A single-objective Sequential Search Assistance-based Multi-Objective Algorithm Framework 

        Peng, Chen; Liang, Jing; Qiao, Kangjia; Ban, Xuanxuan; Suganthan, P.N.; ... more 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; ... more 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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        The similarity-aware relational intersect database operator 

        Al Marri, Wadha J.; Malluhi, Qutaibah; Ouzzani, Mourad; Tang, Mingjie; Aref, Walid G. ( Springer International Publishing , 2014 , Conference)
        Identifying similarities in large datasets is an essential operation in many applications such as bioinformatics, pattern recognition, and data integration. To make the underlying database system similarity-aware, the core ...
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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 Sparse Matrices to Prevent Information Leakage in Cloud Computing 

        Khan K.; Shaheen M.; Wang Y. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference)
        Cloud computing represents the promise of outsourcing of scientific computing such as matrix multiplication. However, this can introduce new vulnerabilities such as information leakage. Cloud server intentionally or ...
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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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        Vanilla Gradient Descent for Oblique Decision Trees 

        Panda, Subrat Prasad; Genest, Blaise; Easwaran, Arvind; Suganthan, Ponnuthurai Nagaratnam ( IOS Press , 2024 , Conference)
        Decision Trees (DTs) constitute one of the major highly non-linear AI models, valued, e.g., for their efficiency on tabular data. Learning accurate DTs is, however, complicated, especially for oblique DTs, and does take a ...
      • A Virtual Domain-Driven Semi-Supervised Hyperbolic Metric Network With Domain-Class Adversarial Decoupling for Aircraft Engine Intershaft Bearings Fault diagnosis 

        Wang, Changdong; Jie, Huamin; Yang, Jingli; Zhao, Zhenyu; Gao, Ruobin; ... more authors ( 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. ...
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        Virtual reality for ambulance simulation environment 

        Halabi, O.; Salahuddin, T.; Karkar, A.G.; Alinier, G. ( Springer , 2022 , Article)
        Simulations are beneficial in evaluating clinicians' empirical competencies through practical skills, prioritizing, and decision-making as part of patient care scenarios generally run in a full-scale physical context. ...

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