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    Browsing Network & Distributed Systems by Publisher "Institute of Electrical and Electronics Engineers Inc."

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    Now showing items 1-20 of 62

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      • 3-sCHSL: Three-Stage Cyclic Hybrid SFS and L-SHADE Algorithm for Single Objective Optimization 

        Abdel-Nabi, Heba; Ali, Mostafa Z.; Awajan, Arafat; Alazrai, Rami; Daoud, Mohammad I.; Suganthan, Ponnuthurai N.; Reynolds, Robert... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2023 , Conference)
        This paper proposes a novel hybridization of two metaheuristic algorithms to solve the real-parameter single objective numerical optimization problems. The proposed Three-stage Cyclic Hybrid SFS and L-SHADE (3-sCHSL) ...
      • A Blockchain-Based Security Scheme for Vehicular Ad Hoc Networks in Smart Cities 

        Li, Xue Jun; Ma, Maode; Yong, Yong Xing ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference)
        The development of Vehicular Ad Hoc Networks (VANET) has brought many advantages to facilitate the deployment of the Intelligent Transportation System (ITS). However, without proper protection, VANETs can be vulnerable to ...
      • A Greedy Cooperative Co-Evolutionary Algorithm With Problem-Specific Knowledge for Multiobjective Flowshop Group Scheduling Problems 

        He, Xuan; Pan, Quan-Ke; Gao, Liang; Wang, Ling; Suganthan, Ponnuthurai Nagaratnam ( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)
        The flowshop sequence-dependent group scheduling problem (FSDGSP) with the production efficiency measures has been extensively studied due to its wide industrial applications. However, energy efficiency indicators are often ...
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        A Practical Universal Consortium Blockchain Paradigm for Patient Data Portability on the Cloud Utilizing Delegated Identity Management 

        Sabir, Abdulbadi; Fetais, Noora ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference)
        This paper presents a blockchain system that exploits the base modular features of the Hyperledger Fabric framework to allow for a new, patient-centric, practical data portability paradigm. The system empowers patients by ...
      • A Two-Stage Evolutionary Framework for Multi-Objective Optimization 

        Chen, Peng; Liang, Jing; Qiao, Kangjia; Suganthan, Ponnuthurai Nagaratnam; Ban, Xuanxuan ( Institute of Electrical and Electronics Engineers Inc. , 2024 , Conference)
        In the field of evolutionary multi-objective optimization, the approximation of the Pareto front (PF) is achieved by utilizing a collection of representative candidate solutions that exhibit desirable convergence and ...
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        Active Computing Toward 5G Internet of Things 

        Liu, Chunpeng; Meng, Wei Xiao; Li, Cheng; Ma, Maode ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)
        The Internet of Things (IoT) contains enormous computing resources. How to fully and efficiently use computing power is a very important research issue. This article proposes an active computing (AC) concept toward IoT. ...
      • Advanced Ensemble Deep Random Vector Functional Link for Eye-Tracking-based Situation Awareness Recognition 

        Li, Ruilin; Gao, Ruobin; Cui, Jian; Suganthan, P.N.; Sourina, Olga ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference)
        Situation awareness (SA) plays a significant role in takeover transitions from autonomous to manual driving. Previous researchers have shown that eye movement signals can be used for SA recognition. Moreover, ensemble deep ...
      • Android Malware Detection and Classification using Stacked Machine Learning 

        Nawshin, F.; Gad, R.; Unal, D.; Suganthan, P.N. ( 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 ...
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        Automatic variable reduction 

        Song, Aijuan; Wu, Guohua; Suganthan, P. N.; Pedrycz, Witold ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)
        A variable reduction strategy (VRS) is an effective method to accelerate the optimization process of evolutionary algorithms (EAs) by simplifying the corresponding optimization problems. Unfortunately, the VRS is manually ...
      • Class-Incremental Learning on Multivariate Time Series Via Shape-Aligned Temporal Distillation 

        Qiao, Zhongzheng; Hu, Minghui; Jiang, Xudong; Suganthan, Ponnuthurai Nagaratnam; Savitha, Ramasamy ( Institute of Electrical and Electronics Engineers Inc. , 2023 , Conference)
        Class-incremental learning (CIL) on multivariate time series (MTS) is an important yet understudied problem. Based on practical privacy-sensitive circumstances, we propose a novel distillation-based strategy using a ...
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        CloudSafe: A tool for an automated security analysis for cloud computing 

        An S.; Eom T.; Park J.S.; Hong J.B.; Nhlabatsi A.; Fetais N.; Khan K.M.; Kim D.S.... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference)
        Cloud computing has been adopted widely, providing on-demand computing resources to improve performance and reduce operational costs. However, these new functionalities also bring new ways to exploit the cloud computing ...
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        Collaborative Truck-Drone Routing for Contactless Parcel Delivery during the Epidemic 

        Wu, Guohua; Mao, Ni; Luo, Qizhang; Xu, Binjie; Shi, Jianmai; Suganthan, Ponnuthurai Nagaratnam... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)
        The COVID-19 pandemic calls for contactless deliveries. To prevent the further spread of the disease and ensure the timely delivery of supplies, this paper investigates a collaborative truck-drone routing problem for ...
      • Constraints Separation Based Evolutionary Multitasking for Constrained Multi-Objective Optimization Problems 

        Qiao, Kangjia; Liang, Jing; Yu, Kunjie; Ban, Xuanxuan; Yue, Caitong; Qu, Boyang; Suganthan, Ponnuthurai Nagaratnam... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2024 , Article)
        Constrained multi-objective optimization problems (CMOPs) generally contain multiple constraints, which not only form multiple discrete feasible regions but also reduce the size of optimal feasible regions, thus they propose ...
      • Conv-eRVFL: Convolutional Neural Network Based Ensemble RVFL Classifier for Alzheimer's Disease Diagnosis 

        Sharma, Rahul; Goel, Tripti; Tanveer, M; Suganthan, P. N.; Razzak, Imran; Murugan, R... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)
        As per the latest statistics, Alzheimer's disease (AD) has become a global burden over the following decades. Identifying AD at the intermediate stage became challenging, with mild cognitive impairment (MCI) utilizing ...
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        Damping-Assisted Evolutionary Swarm Intelligence for Industrial IoT Task Scheduling in Cloud Computing 

        Gad, Ahmed G.; Houssein, Essam H.; Zhou, MengChu; Suganthan, Ponnuthurai Nagaratnam; Wazery, Yaser M. ( Institute of Electrical and Electronics Engineers Inc. , 2024 , Article)
        Advancements in the Industrial Internet of Things (IIoT) have yielded massive volumes of data, taxing the capabilities of cloud computing infrastructure. Allocating limited computing resources to numerous incoming requests ...
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        Deep Reservoir Computing Based Random Vector Functional Link for Non-sequential Classification 

        Hu, Minghui; Gao, Ruobin; Suganthan, P. N. ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference)
        Reservoir Computing (RC) is well-suited for simpler sequential tasks which require inexpensive, rapid training, and the Echo State Network (ESN) plays a significant role in RC. In this article, we proposed variations of ...
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        Design and Implementation of a Threat-Specific Security Risk Assessment Tool 

        Nhlabatsi, Armstrong; Hussein, Alaa; Fetais, Noora; Khan, Khaled M. ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference)
        Security threats posed to individual cloud computing clients vary depending on their specific security requirements. However, Cloud Providers apply generic security risk assessment approaches which result do not consider ...
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        DQN based Blockchain Data Storage in Resource-constrained IoT System 

        Lei, Boyi; Zhou, Jianhong; Ma, Maode; Niu, Xianhua ( Institute of Electrical and Electronics Engineers Inc. , 2023 , Conference)
        Applying blockchain technology in the Internet of Things (IoT) systems to realize massive data storage is a promising technology, which can eliminate the dependence of IoT on central servers and protect data security ...
      • Dynamic Multi-Objective Optimization Algorithm Guided by Recurrent Neural Network 

        Hu, Yaru; Ou, Junwei; Suganthan, Ponnuthurai Nagaratnam; Pedrycz, Witold; Wang, Rui; Zheng, Jinhua; Zou, Juan; Song, Yanjie... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2024 , Article)
        In recent years, prediction-based algorithms have attracted much attention for solving dynamic multi-objective optimization problems in the evolutionary computing community. However, this class of algorithms still has ...
      • Echo state neural network based ensemble deep learning for short-term load forecasting 

        Gao, Ruobin; Suganthan, P.N.; Zhou, Qin; Fai Yuen, Kum; Tanveer, M. ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference)
        Precise electricity load forecasts assist in planning, maintaining, and developing power systems. However, the electricity load's un-stationary and non-linear characteristics impose substantial challenges in anticipating ...

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