Výsledky vyhledávání - Computer Appl. in Administrative Data Processing*

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  1. 1

    Multi-input CNN-GRU based human activity recognition using wearable sensors Autor Dua, Nidhi, Singh, Shiva Nand, Semwal, Vijay Bhaskar

    ISSN: 0010-485X, 1436-5057
    Vydáno: Vienna Springer Vienna 01.07.2021
    Vydáno v Computing (01.07.2021)
    “… Most of the approaches for HAR involves a good amount of feature engineering and data pre-processing, which in turn requires domain expertise…”
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  2. 2

    Customer churn prediction system: a machine learning approach Autor Lalwani, Praveen, Mishra, Manas Kumar, Chadha, Jasroop Singh, Sethi, Pratyush

    ISSN: 0010-485X, 1436-5057
    Vydáno: Vienna Springer Vienna 01.02.2022
    Vydáno v Computing (01.02.2022)
    “… Our proposed methodology, consists of six phases. In the first two phases, data pre-processing and feature analysis is performed…”
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  3. 3

    Future directions for chatbot research: an interdisciplinary research agenda Autor Følstad, Asbjørn, Araujo, Theo, Law, Effie Lai-Chong, Brandtzaeg, Petter Bae, Papadopoulos, Symeon, Reis, Lea, Baez, Marcos, Laban, Guy, McAllister, Patrick, Ischen, Carolin, Wald, Rebecca, Catania, Fabio, Meyer von Wolff, Raphael, Hobert, Sebastian, Luger, Ewa

    ISSN: 0010-485X, 1436-5057
    Vydáno: Vienna Springer Vienna 01.12.2021
    Vydáno v Computing (01.12.2021)
    “…Chatbots are increasingly becoming important gateways to digital services and information—taken up within domains such as customer service, health, education,…”
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  4. 4

    Nature inspired meta heuristic algorithms for optimization problems Autor Vinod Chandra, S S, Anand, H S

    ISSN: 0010-485X, 1436-5057
    Vydáno: Vienna Springer Vienna 01.02.2022
    Vydáno v Computing (01.02.2022)
    “… Processing time and utilizing memory is very high for the currently available data. This is due to its size and the need for scaling from zettabyte to yottabyte…”
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  5. 5

    Optimized IoT service placement in the fog Autor Skarlat, Olena, Nardelli, Matteo, Schulte, Stefan, Borkowski, Michael, Leitner, Philipp

    ISSN: 1863-2386, 1863-2394, 1863-2394
    Vydáno: London Springer London 01.12.2017
    “…The Internet of Things (IoT) leads to an ever-growing presence of ubiquitous networked computing devices in public, business, and private spaces. These devices…”
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  6. 6

    Trust-driven reinforcement selection strategy for federated learning on IoT devices Autor Rjoub, Gaith, Wahab, Omar Abdel, Bentahar, Jamal, Bataineh, Ahmed

    ISSN: 0010-485X, 1436-5057
    Vydáno: Vienna Springer Vienna 01.04.2024
    Vydáno v Computing (01.04.2024)
    “…Federated learning is a distributed machine learning approach that enables a large number of edge/end devices to perform on-device training for a single machine learning model, without having to share their own raw data…”
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  7. 7

    A survey of word embeddings based on deep learning Autor Wang, Shirui, Zhou, Wenan, Jiang, Chao

    ISSN: 0010-485X, 1436-5057
    Vydáno: Vienna Springer Vienna 01.03.2020
    Vydáno v Computing (01.03.2020)
    “…The representational basis for downstream natural language processing tasks is word embeddings, which capture lexical semantics in numerical form to handle the abstract semantic concept of words…”
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  8. 8

    A survey and taxonomy on energy efficient resource allocation techniques for cloud computing systems Autor Hameed, Abdul, Khoshkbarforoushha, Alireza, Ranjan, Rajiv, Jayaraman, Prem Prakash, Kolodziej, Joanna, Balaji, Pavan, Zeadally, Sherali, Malluhi, Qutaibah Marwan, Tziritas, Nikos, Vishnu, Abhinav, Khan, Samee U., Zomaya, Albert

    ISSN: 0010-485X, 1436-5057
    Vydáno: Vienna Springer Vienna 01.07.2016
    Vydáno v Computing (01.07.2016)
    “…, network bandwidth, processing speed, response time, etc.). Several recent papers have tried to address the issue of improving energy efficiency in allocating cloud resources to applications with varying degree of success…”
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  9. 9

    Edge computing: current trends, research challenges and future directions Autor Carvalho, Gonçalo, Cabral, Bruno, Pereira, Vasco, Bernardino, Jorge

    ISSN: 0010-485X, 1436-5057
    Vydáno: Vienna Springer Vienna 01.05.2021
    Vydáno v Computing (01.05.2021)
    “…The edge computing (EC) paradigm brings computation and storage to the edge of the network where data is both consumed and produced…”
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  10. 10

    Artificial intelligence to automate the systematic review of scientific literature Autor de la Torre-López, José, Ramírez, Aurora, Romero, José Raúl

    ISSN: 0010-485X, 1436-5057
    Vydáno: Vienna Springer Vienna 01.10.2023
    Vydáno v Computing (01.10.2023)
    “… AI provides methods to represent and infer knowledge, efficiently manipulate texts and learn from vast amount of data…”
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  11. 11

    A modified DeepWalk method for link prediction in attributed social network Autor Berahmand, Kamal, Nasiri, Elahe, Rostami, Mehrdad, Forouzandeh, Saman

    ISSN: 0010-485X, 1436-5057
    Vydáno: Vienna Springer Vienna 01.10.2021
    Vydáno v Computing (01.10.2021)
    “…The increasing growth of online social networks has drawn researchers' attention to link prediction and has been adopted in many fields, including computer sciences, information science, and anthropology…”
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  12. 12

    Energy-makespan optimization of workflow scheduling in fog–cloud computing Autor Ijaz, Samia, Munir, Ehsan Ullah, Ahmad, Saima Gulzar, Rafique, M. Mustafa, Rana, Omer F.

    ISSN: 0010-485X, 1436-5057
    Vydáno: Vienna Springer Vienna 01.09.2021
    Vydáno v Computing (01.09.2021)
    “…The rapid evolution of smart services and Internet of Things devices accessing cloud data centers can lead to network congestion and increased latency…”
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  13. 13

    An improved YOLO-based road traffic monitoring system Autor Al-qaness, Mohammed A. A., Abbasi, Aaqif Afzaal, Fan, Hong, Ibrahim, Rehab Ali, Alsamhi, Saeed H., Hawbani, Ammar

    ISSN: 0010-485X, 1436-5057
    Vydáno: Vienna Springer Vienna 01.02.2021
    Vydáno v Computing (01.02.2021)
    “…The growing population in large cities is creating traffic management issues. The metropolis road network management also requires constant monitoring, timely…”
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  14. 14

    AI-enabled remote monitoring of vital signs for COVID-19: methods, prospects and challenges Autor Rohmetra, Honnesh, Raghunath, Navaneeth, Narang, Pratik, Chamola, Vinay, Guizani, Mohsen, Lakkaniga, Naga Rajiv

    ISSN: 0010-485X, 1436-5057
    Vydáno: Vienna Springer Vienna 01.04.2023
    Vydáno v Computing (01.04.2023)
    “…The COVID-19 pandemic has overwhelmed the existing healthcare infrastructure in many parts of the world. Healthcare professionals are not only over-burdened…”
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  15. 15

    Application of deep reinforcement learning in stock trading strategies and stock forecasting Autor Li, Yuming, Ni, Pin, Chang, Victor

    ISSN: 0010-485X, 1436-5057
    Vydáno: Vienna Springer Vienna 01.06.2020
    Vydáno v Computing (01.06.2020)
    “… This paper put forward a theory of deep reinforcement learning in the stock trading decisions and stock price prediction, the reliability and availability of the model are proved by experimental data…”
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  16. 16

    TEDA-forecasting: an unsupervised tinyML incremental learning approach for outlier processing and forecasting: TEDA-Forecasting: An Unsupervised Autor Andrade, Pedro, Medeiros, Morsinaldo, Silva, Marianne, Costa, Daniel G., Silva, Ivanovitch

    ISSN: 0010-485X, 1436-5057
    Vydáno: Vienna Springer Vienna 02.07.2025
    Vydáno v Computing (02.07.2025)
    “…The expansion of smart systems and the Internet of Things (IoT) has increased data generation, demanding efficient real-time processing techniques…”
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  17. 17

    Scaling down to scale up: benchmarking single-machine graph processing frameworks in a hardware-constrained environment: Scaling down to scale up: benchmarking Autor Loukil, Mariem, Sfaxi, Lilia, Robbana, Riadh

    ISSN: 0010-485X, 1436-5057
    Vydáno: Vienna Springer Vienna 18.06.2025
    Vydáno v Computing (18.06.2025)
    “…Graph processing frameworks are pivotal in managing the increasing complexity and size of datasets in numerous computational fields…”
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  18. 18

    Automatic hate speech detection using killer natural language processing optimizing ensemble deep learning approach Autor Al-Makhadmeh, Zafer, Tolba, Amr

    ISSN: 0010-485X, 1436-5057
    Vydáno: Vienna Springer Vienna 01.02.2020
    Vydáno v Computing (01.02.2020)
    “… After that collected data is examined using a killer natural language processing optimization ensemble deep learning approach (KNLPEDNN…”
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  19. 19

    A proactive and uncertainty driven management mechanism for workflows of processing tasks: A proactive and uncertainty driven management Autor Oikonomou, Panagiotis, Kolomvatsos, Kostas, Anagnostopoulos, Christos

    ISSN: 0010-485X, 1436-5057
    Vydáno: Vienna Springer Vienna 01.05.2025
    Vydáno v Computing (01.05.2025)
    “… These workflows depict a set of (sequential or parallel) processing activities that should be executed upon the available resources…”
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  20. 20

    Time and activity sequence prediction of business process instances Autor Polato, Mirko, Sperduti, Alessandro, Burattin, Andrea, Leoni, Massimiliano de

    ISSN: 0010-485X, 1436-5057
    Vydáno: Vienna Springer Vienna 01.09.2018
    Vydáno v Computing (01.09.2018)
    “…The ability to know in advance the trend of running process instances, with respect to different features, such as the expected completion time, would allow…”
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