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    Enhanced resource allocation in mobile edge computing using reinforcement learning based MOACO algorithm for IIOT 

    Vimal, S.; Khari, Manju; Dey, Nilanjan; González-Crespo, Rubén ; Harold Robinson, Yesudhas (Computer Communications, 2020-02-01)
    The Mobile networks deploy and offers a multiaspective approach for various resource allocation paradigms and the service based options in the computing segments with its implication in the Industrial Internet of Things ...

    Finding an accurate early forecasting model from small dataset: A case of 2019-nCoV novel coronavirus outbreak 

    Fong, Simon James; Li, Gloria; Dey, Nilanjan; González-Crespo, Rubén ; Herrera-Viedma, Enrique (International Journal of Interactive Multimedia and Artificial Intelligence, 2020-03)
    Epidemic is a rapid and wide spread of infectious disease threatening many lives and economy damages. It is important to fore-tell the epidemic lifetime so to decide on timely and remedic actions. These measures include ...

    Composite Monte Carlo decision making under high uncertainty of novel coronavirus epidemic using hybridized deep learning and fuzzy rule induction 

    Fong, Simon James; Li, Gloria; Dey, Nilanjan; González-Crespo, Rubén ; Herrera-Viedma, Enrique (Applied Soft Computing Journal, 2020-08)
    In the advent of the novel coronavirus epidemic since December 2019, governments and authorities have been struggling to make critical decisions under high uncertainty at their best efforts. In computer science, this ...

    Economic data analytic AI technique on IoT edge devices for health monitoring of agriculture machines 

    Gupta, Neeraj; Khosravy, Mahdi; Patel, Nilesh; Dey, Nilanjan; Gupta, Saurabh; Darbari, Hemant; González-Crespo, Rubén (Applied Sciences, 2020-07)
    In the era of Internet of things (IoT), network Connection of an enormous number of agriculture machines and service centers is an expectation. However, it will be with a generation of massive volume of data, thus overwhelming ...

    Simplified inverse filter tracked affective acoustic signals classification incorporating deep convolutional neural networks 

    Kuang, Yuxiang; Wu, Qun; Wang, Ying; Dey, Nilanjan; Shi, Fuqian; González-Crespo, Rubén ; Simon Sherratt, R. (Applied Soft Computing, 2020-12)
    Facial expressions, verbal, behavioral, such as limb movements, and physiological features are vital ways for affective human interactions. Researchers have given machines the ability to recognize affective communication ...

    PCHET: An efficient programmable cellular automata based hybrid encryption technique for multi-chat client-server applications 

    Roy, Satyabrata; Gupta, Rohit Kumar; Rawat, Umashankar; Dey, Nilanjan; González-Crespo, Rubén (Journal of Information Security and Applications, 2020-12)
    This paper demonstrates an efficient programmable Cellular Automata (CA) based hybrid encryption technique (PCHET) for chatting applications involving multiple clients who can chat simultaneously with each other. The ...

    Energy enhancement using Multiobjective Ant colony optimization with Double Q learning algorithm for IoT based cognitive radio networks 

    Vimal, S.; Khari, Manju; González-Crespo, Rubén ; Kalaivani, L.; Dey, Nilanjan; Kaliappan, Madasamy (Computer Communications, 2020-03)
    Internet of Things (IoT) is the efficient wireless communication in the modern era, energy efficiency is the primary issue that focuses mainly on the Cognitive network. Most of the CR networks are focusing on battery ...

    Adjectives Grouping in a Dimensionality Affective Clustering Model for Fuzzy Perceptual Evaluation 

    Huang, Wenlin; Wu, Qun; Dey, Nilanjan; Ashour, Amira; Fong, Simon James; González-Crespo, Rubén (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2020-06)
    More and more products are no longer limited to the satisfaction of the basic needs, but reflect the emotional interaction between people and environment. The characteristics of user emotions and their evaluation scales ...

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