Search Results - "Future generation computer systems"

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  1. 1

    Slime mould algorithm: A new method for stochastic optimization by Li, Shimin, Chen, Huiling, Wang, Mingjing, Heidari, Ali Asghar, Mirjalili, Seyedali

    Published in Future generation computer systems (01-10-2020)
    “…In this paper, a new stochastic optimizer, which is called slime mould algorithm (SMA), is proposed based on the oscillation mode of slime mould in nature. The…”
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  2. 2

    Making data platforms smarter with MOSES by Francia, Matteo, Gallinucci, Enrico, Golfarelli, Matteo, Leoni, Anna Giulia, Rizzi, Stefano, Santolini, Nicola

    Published in Future generation computer systems (01-12-2021)
    “…The rise of data platforms has enabled the collection and processing of huge volumes of data, but has opened to the risk of losing their control. Collecting…”
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  3. 3

    Harris hawks optimization: Algorithm and applications by Heidari, Ali Asghar, Mirjalili, Seyedali, Faris, Hossam, Aljarah, Ibrahim, Mafarja, Majdi, Chen, Huiling

    Published in Future generation computer systems (01-08-2019)
    “…In this paper, a novel population-based, nature-inspired optimization paradigm is proposed, which is called Harris Hawks Optimizer (HHO). The main inspiration…”
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  4. 4

    A survey on the security of blockchain systems by Li, Xiaoqi, Jiang, Peng, Chen, Ting, Luo, Xiapu, Wen, Qiaoyan

    Published in Future generation computer systems (01-06-2020)
    “…Since its inception, the blockchain technology has shown promising application prospects. From the initial cryptocurrency to the current smart contract,…”
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  5. 5

    A survey on security and privacy of federated learning by Mothukuri, Viraaji, Parizi, Reza M., Pouriyeh, Seyedamin, Huang, Yan, Dehghantanha, Ali, Srivastava, Gautam

    Published in Future generation computer systems (01-02-2021)
    “…Federated learning (FL) is a new breed of Artificial Intelligence (AI) that builds upon decentralized data and training that brings learning to the edge or…”
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  6. 6

    Blockchain for the metaverse: A Review by Huynh-The, Thien, Gadekallu, Thippa Reddy, Wang, Weizheng, Yenduri, Gokul, Ranaweera, Pasika, Pham, Quoc-Viet, da Costa, Daniel Benevides, Liyanage, Madhusanka

    Published in Future generation computer systems (01-06-2023)
    “…Since Facebook officially changed its name to Meta in Oct. 2021, the metaverse has become a new norm of social networks and three-dimensional (3D) virtual…”
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  7. 7

    Henry gas solubility optimization: A novel physics-based algorithm by Hashim, Fatma A., Houssein, Essam H., Mabrouk, Mai S., Al-Atabany, Walid, Mirjalili, Seyedali

    Published in Future generation computer systems (01-12-2019)
    “…Several metaheuristic optimization algorithms have been developed to solve the real-world problems recently. This paper proposes a novel metaheuristic…”
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  8. 8

    Towards the development of realistic botnet dataset in the Internet of Things for network forensic analytics: Bot-IoT dataset by Koroniotis, Nickolaos, Moustafa, Nour, Sitnikova, Elena, Turnbull, Benjamin

    Published in Future generation computer systems (01-11-2019)
    “…The proliferation of IoT systems, has seen them targeted by malicious third parties. To address this challenge, realistic protection and investigation…”
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  9. 9

    ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis by Basiri, Mohammad Ehsan, Nemati, Shahla, Abdar, Moloud, Cambria, Erik, Acharya, U. Rajendra

    Published in Future generation computer systems (01-02-2021)
    “…Sentiment analysis has been a hot research topic in natural language processing and data mining fields in the last decade. Recently, deep neural network (DNN)…”
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  10. 10

    An overview on smart contracts: Challenges, advances and platforms by Zheng, Zibin, Xie, Shaoan, Dai, Hong-Ning, Chen, Weili, Chen, Xiangping, Weng, Jian, Imran, Muhammad

    Published in Future generation computer systems (01-04-2020)
    “…Smart contract technology is reshaping conventional industry and business processes. Being embedded in blockchains, smart contracts enable the contractual…”
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  11. 11

    IoT security: Review, blockchain solutions, and open challenges by Khan, Minhaj Ahmad, Salah, Khaled

    Published in Future generation computer systems (01-05-2018)
    “…With the advent of smart homes, smart cities, and smart everything, the Internet of Things (IoT) has emerged as an area of incredible impact, potential, and…”
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  12. 12

    Edge computing: A survey by Khan, Wazir Zada, Ahmed, Ejaz, Hakak, Saqib, Yaqoob, Ibrar, Ahmed, Arif

    Published in Future generation computer systems (01-08-2019)
    “…In recent years, the Edge computing paradigm has gained considerable popularity in academic and industrial circles. It serves as a key enabler for many future…”
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  13. 13

    HealthFog: An ensemble deep learning based Smart Healthcare System for Automatic Diagnosis of Heart Diseases in integrated IoT and fog computing environments by Tuli, Shreshth, Basumatary, Nipam, Gill, Sukhpal Singh, Kahani, Mohsen, Arya, Rajesh Chand, Wander, Gurpreet Singh, Buyya, Rajkumar

    Published in Future generation computer systems (01-03-2020)
    “…Cloud computing provides resources over the Internet and allows a plethora of applications to be deployed to provide services for different industries. The…”
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  14. 14

    Mobile edge computing, Fog et al.: A survey and analysis of security threats and challenges by Roman, Rodrigo, Lopez, Javier, Mambo, Masahiro

    Published in Future generation computer systems (01-01-2018)
    “…For various reasons, the cloud computing paradigm is unable to meet certain requirements (e.g. low latency and jitter, context awareness, mobility support)…”
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  15. 15

    Recent advancements and challenges of Internet of Things in smart agriculture: A survey by Sinha, Bam Bahadur, Dhanalakshmi, R.

    Published in Future generation computer systems (01-01-2022)
    “…The Internet of Things (IoT) is an evolving paradigm that seeks to connect different smart physical components for multi-domain modernization. To automatically…”
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  16. 16

    Exploiting smart e-Health gateways at the edge of healthcare Internet-of-Things: A fog computing approach by Rahmani, Amir M., Gia, Tuan Nguyen, Negash, Behailu, Anzanpour, Arman, Azimi, Iman, Jiang, Mingzhe, Liljeberg, Pasi

    Published in Future generation computer systems (01-01-2018)
    “…Current developments in ICTs such as in Internet-of-Things (IoT) and Cyber–Physical Systems (CPS) allow us to develop healthcare solutions with more…”
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  17. 17

    Big data analysis of the Internet of Things in the digital twins of smart city based on deep learning by Li, Xiaoming, Liu, Hao, Wang, Weixi, Zheng, Ye, Lv, Haibin, Lv, Zhihan

    Published in Future generation computer systems (01-03-2022)
    “…The study aims to conduct big data analysis (BDA) on the massive data generated in the smart city Internet of things (IoT), make the smart city change to the…”
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  18. 18

    A survey of human-in-the-loop for machine learning by Wu, Xingjiao, Xiao, Luwei, Sun, Yixuan, Zhang, Junhang, Ma, Tianlong, He, Liang

    Published in Future generation computer systems (01-10-2022)
    “…Machine learning has become the state-of-the-art technique for many tasks including computer vision, natural language processing, speech processing tasks, etc…”
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  19. 19

    Towards fog-driven IoT eHealth: Promises and challenges of IoT in medicine and healthcare by Farahani, Bahar, Firouzi, Farshad, Chang, Victor, Badaroglu, Mustafa, Constant, Nicholas, Mankodiya, Kunal

    Published in Future generation computer systems (01-01-2018)
    “…Internet of Things (IoT) offers a seamless platform to connect people and objects to one another for enriching and making our lives easier. This vision carries…”
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  20. 20

    An intelligent healthcare monitoring framework using wearable sensors and social networking data by Ali, Farman, El-Sappagh, Shaker, Islam, S.M. Riazul, Ali, Amjad, Attique, Muhammad, Imran, Muhammad, Kwak, Kyung-Sup

    Published in Future generation computer systems (01-01-2021)
    “…Wearable sensors and social networking platforms play a key role in providing a new method to collect patient data for efficient healthcare monitoring…”
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