Listar UNIR REVISTAS por autor 

Listar UNIR REVISTAS por autor "Dey, Nilanjan"

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    • 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), 06/2020)
      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 ...

    • Balance Your Work-Life: Personal Interactive Web-Interface 

      Majumder, Soumi; Chowdhury, Soumalya; Dey, Nilanjan; Santosh, K. C. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2022)
      The term work-life balance can be described as a path to manage stresses and burnouts in the workplace. In this Covid-19 pandemic, work-from-home practice includes both personal and professional spaces as employees, more ...

    • Chinese-chi and Kundalini yoga Meditations Effects on the Autonomic Nervous System: Comparative Study 

      Dey, Anilesh; Bhattacharya, D. K.; Tibarewala, D.N.; Dey, Nilanjan; Ashour, Amira S.; Le, Dac-Nhuong; Gospodinova, Evgeniya; Gospodinov, Mitko (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2016)
      Cardiac disease is one of the major causes for death all over the world. Heart rate variability (HRV) is a significant parameter that used in assessing Autonomous Nervous System (ANS) activity. Generally, the 2D Poincare′ ...

    • Deep Transfer Learning-Based Automated Identification of Bird Song 

      Das, Nabanita; Padhy, Neelamadhab; Dey, Nilanjan; Bhattacharya, Sudipta; Tavares, Joao Manuel R. S. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2023)
      Bird species identification is becoming increasingly crucial for avian biodiversity conservation and assisting ornithologists in quantifying the presence of birds in a given area. Convolutional Neural Networks (CNNs) are ...

    • Editor's Note 

      Dey, Nilanjan (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      The International Journal of Interactive Multimedia and Artificial Intelligence – IJIMAI (ISSN 1989-1660) provides an interdisciplinary forum in which scientists and professionals can share their research results and report ...

    • Euclidean Distance Distortion Based Robust and Blind Mesh Watermarking 

      Dey, Nilanjan; Amar, Yesmine Ben; Trabelsi, Imen; Bouhlel, Salim (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2016)
      The three-dimensional (3D) polygonal meshes are recently widely used in several domains, which necessitate the realistic visualization of the objects. Moreover, there is an urgent need to protect the 3D data properties for ...

    • Exploring ChatGPT's Potential for Consultation, Recommendations and Report Diagnosis: Gastric Cancer and Gastroscopy Reports’ Case 

      Zhou, Jiaming; Li, Tengyue; Fong, Simon James; Dey, Nilanjan; González-Crespo, Rubén (International Journal of Interactive Multimedia and Artificial Intelligence, 06/2023)
      Artificial intelligence (AI) has shown its effectiveness in helping clinical users meet evolving challenges. Recently, ChatGPT, a newly launched AI chatbot with exceptional text comprehension capabilities, has triggered a ...

    • Finding an Accurate Early Forecasting Model from Small Dataset: A Case of 2019-nCoV Novel Coronavirus Outbreak 

      González-Crespo, Rubén; Herrera-Viedma, Enrique; Dey, Nilanjan; Fong, Simon James; Li, Gloria (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2020)
      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 ...

    • Learning Models for Semantic Classification of Insufficient Plantar Pressure Images 

      Dey, Nilanjan; Wu, Yao; Wu, Qun; Sherratt, Simon (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2020)
      Establishing a reliable and stable model to predict a target by using insufficient labeled samples is feasible and effective, particularly, for a sensor-generated data-set. This paper has been inspired with insufficient ...