Search Results - "Mobile networks and applications"

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  1. 1

    Vehicular Edge Computing and Networking: A Survey by Liu, Lei, Chen, Chen, Pei, Qingqi, Maharjan, Sabita, Zhang, Yan

    Published in Mobile networks and applications (01-06-2021)
    “…As one key enabler of Intelligent Transportation System (ITS), Vehicular Ad Hoc Network (VANET) has received remarkable interest from academia and industry…”
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    Journal Article
  2. 2

    Deep Learning Models for Real-time Human Activity Recognition with Smartphones by Wan, Shaohua, Qi, Lianyong, Xu, Xiaolong, Tong, Chao, Gu, Zonghua

    Published in Mobile networks and applications (01-04-2020)
    “…With the widespread application of mobile edge computing (MEC), MEC is serving as a bridge to narrow the gaps between medical staff and patients. Relatedly,…”
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  3. 3

    Brain Intelligence: Go beyond Artificial Intelligence by Lu, Huimin, Li, Yujie, Chen, Min, Kim, Hyoungseop, Serikawa, Seiichi

    Published in Mobile networks and applications (01-04-2018)
    “…Artificial intelligence (AI) is an important technology that supports daily social life and economic activities. It contributes greatly to the sustainable…”
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  4. 4

    A Comprehensive Survey on Machine Learning-Based Big Data Analytics for IoT-Enabled Smart Healthcare System by Li, Wei, Chai, Yuanbo, Khan, Fazlullah, Jan, Syed Rooh Ullah, Verma, Sahil, Menon, Varun G., Kavita, Li, Xingwang

    Published in Mobile networks and applications (01-02-2021)
    “…The outbreak of chronic diseases such as COVID-19 has made a renewed call for providing urgent healthcare facilities to the citizens across the globe. The…”
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  5. 5

    Big Data: A Survey by Chen, Min, Mao, Shiwen, Liu, Yunhao

    Published in Mobile networks and applications (01-04-2014)
    “…In this paper, we review the background and state-of-the-art of big data. We first introduce the general background of big data and review related…”
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  6. 6

    QoS Prediction for Service Recommendation with Deep Feature Learning in Edge Computing Environment by Yin, Yuyu, Chen, Lu, Xu, Yueshen, Wan, Jian, Zhang, He, Mai, Zhida

    Published in Mobile networks and applications (01-04-2020)
    “…Along with the popularity of intelligent services and mobile services, service recommendation has become a key task, especially the task based on…”
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  7. 7

    Distributed Deep Learning-based Offloading for Mobile Edge Computing Networks by Huang, Liang, Feng, Xu, Feng, Anqi, Huang, Yupin, Qian, Li Ping

    Published in Mobile networks and applications (01-06-2022)
    “…This paper studies mobile edge computing (MEC) networks where multiple wireless devices (WDs) choose to offload their computation tasks to an edge server. To…”
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  8. 8

    Interoperability in Internet of Things: Taxonomies and Open Challenges by Noura, Mahda, Atiquzzaman, Mohammed, Gaedke, Martin

    Published in Mobile networks and applications (01-06-2019)
    “…In the last few years, many smart objects found in the physical world are interconnected and communicate through the existing internet infrastructure which…”
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  9. 9

    Smart Clothing: Connecting Human with Clouds and Big Data for Sustainable Health Monitoring by Chen, Min, Ma, Yujun, Song, Jeungeun, Lai, Chin-Feng, Hu, Bin

    Published in Mobile networks and applications (01-10-2016)
    “…Traditional wearable devices have various shortcomings, such as uncomfortableness for long-term wearing, and insufficient accuracy, etc. Thus, health…”
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  10. 10

    MobileNet Based Apple Leaf Diseases Identification by Bi, Chongke, Wang, Jiamin, Duan, Yulin, Fu, Baofeng, Kang, Jia-Rong, Shi, Yun

    Published in Mobile networks and applications (01-02-2022)
    “…Alternaria leaf blotch, and rust are two common types of apple leaf diseases that severely affect apple yield. A timely and effective detection of apple leaf…”
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  11. 11

    Towards a Standard Feature Set for Network Intrusion Detection System Datasets by Sarhan, Mohanad, Layeghy, Siamak, Portmann, Marius

    Published in Mobile networks and applications (01-02-2022)
    “…Network Intrusion Detection Systems (NIDSs) are important tools for the protection of computer networks against increasingly frequent and sophisticated cyber…”
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  12. 12

    A Review of Deep Learning on Medical Image Analysis by Wang, Jian, Zhu, Hengde, Wang, Shui-Hua, Zhang, Yu-Dong

    Published in Mobile networks and applications (01-02-2021)
    “…Compared with common deep learning methods (e.g., convolutional neural networks), transfer learning is characterized by simplicity, efficiency and its low…”
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  13. 13

    New Method of Energy Efficient Subcarrier Allocation Based on Evolutionary Game Theory by Zhang, De-gan, Chen, Chen, Cui, Yu-ya, Zhang, Ting

    Published in Mobile networks and applications (01-04-2021)
    “…Since there is a competition between subcarriers because FBMC (Filter Bank Multicarrier) modulation technology does not need subcarriers to be orthogonal to…”
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  14. 14

    Green IoT for Eco-Friendly and Sustainable Smart Cities: Future Directions and Opportunities by Almalki, Faris. A., Alsamhi, S. H., Sahal, Radhya, Hassan, Jahan, Hawbani, Ammar, Rajput, N. S., Saif, Abdu, Morgan, Jeff, Breslin, John

    Published in Mobile networks and applications (01-02-2023)
    “…The development of the Internet of Things (IoT) technology and their integration in smart cities have changed the way we work and live, and enriched our…”
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  15. 15

    Internet of Things (IoT) Security Intelligence: A Comprehensive Overview, Machine Learning Solutions and Research Directions by Sarker, Iqbal H., Khan, Asif Irshad, Abushark, Yoosef B., Alsolami, Fawaz

    Published in Mobile networks and applications (01-02-2023)
    “…The Internet of Things (IoT) is one of the most widely used technologies today, and it has a significant effect on our lives in a variety of ways, including…”
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  16. 16

    Underwater Optical Image Processing: a Comprehensive Review by Lu, Huimin, Li, Yujie, Zhang, Yudong, Chen, Min, Serikawa, Seiichi, Kim, Hyoungseop

    Published in Mobile networks and applications (01-12-2017)
    “…Underwater cameras are widely used to observe the sea floor. They are usually included in autonomous underwater vehicles (AUVs), unmanned underwater vehicles…”
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  17. 17

    A Survey of Computation Offloading for Mobile Systems by Kumar, Karthik, Liu, Jibang, Lu, Yung-Hsiang, Bhargava, Bharat

    Published in Mobile networks and applications (01-02-2013)
    “…Mobile systems have limited resources, such as battery life, network bandwidth, storage capacity, and processor performance. These restrictions may be…”
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  18. 18

    Detection and Removal of Motion Artifacts in PPG Signals by Pollreisz, David, TaheriNejad, Nima

    Published in Mobile networks and applications (01-04-2022)
    “…With the rise of wearable devices, which integrate myriad of health-care and fitness procedures into daily life, a reliable method for measuring various…”
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  19. 19

    An Approach to Alleviate the Sparsity Problem of Hybrid Collaborative Filtering Based Recommendations: The Product-Attribute Perspective from User Reviews by Yang, Xiaoxian, Zhou, Sijing, Cao, Min

    Published in Mobile networks and applications (01-04-2020)
    “…The goal of a recommender system is to return related items that users may be interested in. However recommendation methods result in a sparsity problem that…”
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  20. 20

    Mining consuming Behaviors with Temporal Evolution for Personalized Recommendation in Mobile Marketing Apps by Gao, Honghao, Kuang, Li, Yin, Yuyu, Guo, Bin, Dou, Kai

    Published in Mobile networks and applications (01-08-2020)
    “…Recently, more and more mobile apps are employed in the marketing field with technical advances. Mobile marketing apps have become a prevalent way for…”
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