Mostrando ítems 1-14 de 14

    • Interactive Causal Correlation Space Reshape for Multi-Label Classification 

      Zhang, Chao; Cheng, Yusheng; Wang, Yibin; Xu, Yuting (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2022)
      Most existing multi-label classification models focus on distance metrics and feature spare strategies to extract specific features of labels. Those models use the cosine similarity to construct the label correlation matrix ...
    • A Security Situation Awareness Approach for IoT Software Chain Based on Markov Game Model 

      Zhu, Xudong; Deng, Honggao (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2022)
      Since Internet of Things (IoT) has been widely used in our daily life nowadays, it is regarded as a promising and popular application of the Internet, and has attracted more and more attention. However, IoT is also suffered ...
    • Design of Integrated Artificial Intelligence Techniques for Video Surveillance on IoT Enabled Wireless Multimedia Sensor Networks 

      Mansour, Romany F.; Soto, Carlos; Soto-Díaz, Roosvel; Escorcia Gutierrez, José; Gupta, Deepak; Khanna, Ashish (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2022)
      The recent advancements in the Internet of Things (IoT) and Wireless Multimedia Sensor Networks (WMSN) made high-speed multimedia streaming, data processing, and essential analytics processes with minimal delay. Multimedia ...
    • ED-Dehaze Net: Encoder and Decoder Dehaze Network 

      Zhang, Hongqi; Wei, Yixiong; Zhou, Hongqiao; Wu, Qianhao (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2022)
      The presence of haze will significantly reduce the quality of images, such as resulting in lower contrast and blurry details. This paper proposes a novel end-to-end dehazing method, called Encoder and Decoder Dehaze Network ...
    • Editor's Note 

      Shu, Lei; Rodrigues, Joel J.P.C.; Cohn, Anthony G.; Mao, Qirong; Li, Maozhen (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2022)
      As the Internet of Things (IoT) further develops and expands to the Internet of Everything (IoE), high-speed multimedia streaming data processing, analysis, and shorter response times are increasingly becoming the demands ...
    • An EEG Signal Recognition Algorithm During Epileptic Seizure Based on Distributed Edge Computing 

      Qiu, Shi; Cheng, Keyang; Zhou, Tao; Tahir, Rabia; Ting, Liang (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2022)
      Epilepsy is one kind of brain diseases, and its sudden unpredictability is the main cause of disability and even death. Thus, it is of great significance to identify electroencephalogram (EEG) during the seizure quickly ...
    • A Diverse Domain Generative Adversarial Network for Style Transfer on Face Photographs 

      Tahir, Rabia; Cheng, Keyang; Memon, Bilal Ahmed; Liu, Qing (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2022)
      The applications of style transfer on real time photographs are very trending now. This is used in various applications especially in social networking sites such as SnapChat and beauty cameras. A number of style transfer ...
    • A Method of the Coverage Ratio of Street Trees Based on Deep Learning 

      Han, Wen; Cao, Lei; Xu, Sheng (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2022)
      The street trees coverage ratio provides reliable data support for urban ecological environment assessment, which plays an important part in the ecological environment index calculation. Aiming at the statistical estimation ...
    • Variational Learning for the Inverted Beta-Liouville Mixture Model and Its Application to Text Categorization 

      Ling, Yongfa; Guan, Wenbo; Ruan, Qiang; Song, Heping; Lai, Yuping (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2022)
      he finite invert Beta-Liouville mixture model (IBLMM) has recently gained some attention due to its positive data modeling capability. Under the conventional variational inference (VI) framework, the analytically tractable ...
    • STAIBT: Blockchain and CP-ABE Empowered Secure and Trusted Agricultural IoT Blockchain Terminal 

      Zhang, Guofeng; Chen, Xiao; Zhang, Lei; Feng, Bin; Guo, Xuchao; Liang, Jingyun; Zhang, Yanan (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2022)
      The integration of agricultural Internet of Things (IoT) and blockchain has become the key technology of precision agriculture. How to protect data privacy and security from data source is one of the difficult issues in ...
    • Improvement in Quality of Service Against Doppelganger Attacks for Connected Network 

      Choudhary, Deepak; Pahuja, Roop (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2022)
      Because they are in a high-risk location, remote sensors are vulnerable to malicious ambushes. A doppelganger attack, in which a malicious hub impersonates a legitimate network junction and then attempts to take control ...
    • Improved GWO Algorithm for UAV Path Planning on Crop Pest Monitoring 

      Ding, Qun; Xu, Xiaolong (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2022)
      Agricultural information monitoring is the monitoring of the agricultural production process, and its task is to monitor the growth process of major crops systematically. When assessing the pest situation of crops in this ...
    • Content-Based Hyperspectral Image Compression Using a Multi-Depth Weighted Map With Dynamic Receptive Field Convolution 

      Pan, Shaoming; Gu, XiaoLin; Chong, Yanwen; Guo, Yuanyuan (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2022)
      In content-based image compression, the importance map guides the bit allocation based on its ability to represent the importance of image contents. In this paper, we improve the representational power of importance map ...
    • Electromiographic Signal Processing Using Embedded Artificial Intelligence: An Adaptive Filtering Approach 

      Proaño-Guevara, Daniel; Blanco Valencia, Xiomara Patricia; Rosero-Montalvo, Paul D.; Peluffo-Ordóñez, Diego H. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2022)
      In recent times, Artificial Intelligence (AI) has become ubiquitous in technological fields, mainly due to its ability to perform computations in distributed systems or the cloud. Nevertheless, for some applications -as ...