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Listar por autor "Dey, Nilanjan"

Mostrando ítems 1-20 de 40

    • A new SEAIRD pandemic prediction model with clinical and epidemiological data analysis on COVID-19 outbreak 

      Liu, Xian-Xian; Fong, Simon James; Dey, Nilanjan; González-Crespo, Rubén ; Herrera-Viedma, Enrique (Applied intelligence, 2021)
      Measuring the spread of disease during a pandemic is critically important for accurately and promptly applying various lockdown strategies, so to prevent the collapse of the medical system. The latest pandemic of COVID-19 ...

    • A non-linear multi-objective technique for hybrid peer-to-peer communication 

      Das, Santosh Kumar; Dey, Nilanjan; González-Crespo, Rubén (Information Sciences, 2023)
      This work proposes a strategy management technique based on hybrid peer-to-peer communication system. The main techniques used in the P2PC are: (i) Multi-objective optimization, (ii) Game theory technique, (iii) Non-linear ...

    • 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 ...

    • Alzheimer's Patient Analysis Using Image and Gene Expression Data and Explainable-AI to Present Associated Genes 

      Kamal, M.S; Northcote, A; Chowdhury, L; Dey, Nilanjan; González-Crespo, Rubén ; Herrera-Viedma, Enrique (Institute of Electrical and Electronics Engineers Inc., 2021)
      There are more than 10 million new cases of Alzheimer's patients worldwide each year, which means there is a new case every 3.2 s. Alzheimer's disease (AD) is a progressive neurodegenerative disease and various machine ...

    • An intelligent edge enabled 6G-flying ad-hoc network ecosystem for precision agriculture 

      Mukherjee, Amartya; Kumar Panja, Ayan; Dey, Nilanjan; González-Crespo, Rubén (Expert Systems, 2023)
      Unmanned aerial vehicle based precision agriculture is a predominant research area. The modern flying ad-hoc network leverages the advanced low latency vehicular communication and intelligent computing paradigms that help ...

    • Analysis of the COVID19 Pandemic Behaviour Based on the Compartmental SEAIRD and Adaptive SVEAIRD Epidemiologic Models 

      James Fong, Simon; Lobo Marques, João Alexandre; Li, G.; Dey, Nilanjan; González-Crespo, Rubén; Herrera-Viedma, Enrique; Bernardo Gois, F. Nauber; Xavier Neto, José (Epidemic Analytics for Decision Supports in COVID19 Crisis, 2022)
      A significant number of people infected by COVID19 do not get sick immediately but become carriers of the disease. These patients might have a certain incubation period. However, the classical compartmental model, SEIR, ...

    • 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 ...

    • Brain fMRI segmentation under emotion stimuli incorporating attention-based deep convolutional neural networks 

      Liu, Jie; Dey, Nilanjan; Das, Nabanita; González-Crespo, Rubén ; Shi, Fuqian; Liu, Chanjuan (Applied Soft Computing, 2022)
      Functional magnetic resonance imaging (fMRI) is widely used for clinical examinations, diagnosis, and treatment. By segmenting fMRI images, large-scale medical image data can be processed more efficiently. Most deep learning ...

    • 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′ ...

    • Cognitive Evaluation of Examinees by Dynamic Question Set Generation based on Bloom’s Taxonomy 

      Dutta, Anjan; Chatterjee, Punyasha; Dey, Nilanjan; Moreno-Ger, Pablo; Sen, Soumya (IETE Journal of Research, 2023)
      Educational data mining (EDM) is an emerging topic in recent years steered by data mining and machine learning techniques to enhance students’ overall learning experience and academic progress. In recent years EDM techniques ...

    • 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, 08/2020)
      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 ...

    • COVID-19: Psychological and Psychosocial Impact, Fear, and Passion 

      Dey, Nilanjan; Mishra, Rishabh; Fong, Simon James; Santosh, K. C.; Tan, Stanna; González-Crespo, Rubén (Digital Government: Research and Practice, 2021)
      In December 2019, the novel coronavirus disease (COVID-19) emerged in Wuhan, Hubei Province of China. Unlike common cold and flu, COVID-19 is much more contagious, and its spread rate is exponential. More than 8,999,659 ...

    • 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 ...

    • DisastDrone: A Disaster Aware Consumer Internet of Drone Things System in Ultra-Low Latent 6G Network 

      Mukherjee, Amartya; De, Debashis; Dey, Nilanjan; González-Crespo, Rubén; Herrera-Viedma, Enrique (IEEE Transactions on Consumer Electronics, 2023)
      Internet of Things application in disaster responses and management is a predominant research domain. The introduction of the consumer drones, flying ad-hoc networks, low latency 5G, and beyond 5G produce significant ...

    • 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, 07/2020)
      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 ...

    • Economic IoT strategy: the future technology for health monitoring and diagnostic of agriculture vehicles 

      Gupta, Neeraj; Gupta, Saurabh; Khosravy, Mahdi; Dey, Nilanjan; Joshi, Nisheeth; González-Crespo, Rubén; Patel, Nilesh (Journal of intelligent manufacturing, 2022)
      Today’s Agriculture vehicles (AgV)s are expected to encompass mainly the three requirements of customers; economy, the use of High technology and reliability. In this manuscript, we investigate the technology solution for ...

    • 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 ...

    • Effect of optimization framework on rigid and non-rigid multimodal image registration 

      Chakraborty, Sayan; Pradhan, Ratika; Dey, Nilanjan; González-Crespo, Rubén; Tavares, Joao Manuel R. S. (Scienceasias, 2022)
      The process of transforming or aligning two images is known as image registration. In the present era, image registration is one of the most popular transformation tools in case of, for example, satellite as well as medical ...

    • Emotion classification on eye-tracking and electroencephalograph fused signals employing deep gradient neural networks 

      Wu, Qun; Dey, Nilanjan; Shi, Fuqian; González-Crespo, Rubén ; Sherratt, Simon (Elsevier Ltd, 2021)
      Emotion produces complex neural processes and physiological changes under appropriate event stimulation. Physiological signals have the advantage of better reflecting a person's actual emotional state than facial expressions ...

    • Emotion stimuli-based surface electromyography signal classification employing Markov transition field and deep neural networks 

      Li, Rongjie; Wu, Yao; Wu, Qun; Dey, Nilanjan; González-Crespo, Rubén; Shi, Fuqian (Elsevier B.V., 2022)
      Surface electromyography (sEMG) has been widely used in clinical medicine, rehabilitation medicine, and intelligent robots. Currently, sEMG signal classification methods promoted the development and industrialization of ...