IJIMAI (International Journal of Interactive Multimedia and Artificial Intelligence)

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  Año 2024, Vol. 8, Número 7. Texto Completo Ejemplar. Dedicado a: Deep Learning Techniques for Semantic Web in Web of Things (WoT) and Internet of Everything (IoE)

  • Editor's note

    Mu-Yen Chen, Patrick C. K. Hung

    • Texto Completo Ejemplar

    págs. 3-3

    

  • What drives iot-based smart pet appliances usage intention? The perspective of the unified theory of acceptance and use of technology model

    Chia-Chen Chen, Chia-Pei Lin

    • Resumen
    • Texto completo

    págs. 5-14

    

  • Energy-aware path planning by autonomous underwater vehicle in underwater wireless sensor networks for safer maritime transportation

    Tayfun Acarer

    • Resumen
    • Texto completo

    págs. 15-27

    

  • Evaluating the impact of pumping on groundwater level prediction in the chuoshui river alluvial fan using artificial intelligence techniques

    Yuh-Sheng Su, Yu-Cheng Hu, Yun-Chin Wu, Ching-Teng Lo

    • Resumen
    • Texto completo

    págs. 28-37

    

  • Semi-supervised machine learning approaches for thyroid disease prediction and its integration with the internet of everything

    Melih Ağraz

    • Resumen
    • Texto completo

    págs. 38-47

    

  • Enhancing tennis serve scoring efficiency: An AI deep learning approach

    Jing-Wei Liu

    • Resumen
    • Texto completo

    págs. 48-54

    

  • The human motion behavior recognition by deep learning approach and the internet of things

    Li Hui, Liu Huayang, Zhao Wei, Liu Hao

    • Resumen
    • Texto completo

    págs. 55-65

    

  • Predicting Consumer Electronics E-Commerce: Technology Acceptance Model and Logistics Service Quality

    Cheng-Feng Wu, Kunkun Zhang, Meng-Chen Lin, Chei-Chang Chiou

    • Resumen
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    págs. 66-85

    

  • Constructing the public opinion crisis prediction model using CNN and LSTM techniques based on social network mining

    Lou Yan, Zhipeng Ren, Yong Zhang, Zhonghui Tao, Yiwu Zhao

    • Resumen
    • Texto completo

    págs. 86-96

    

  • Design of traffic electronic information signal acquisition system based on internet of things technology and artificial intelligence

    Hongliang Wang

    • Resumen
    • Texto completo

    págs. 97-105