Listar 2020 por título 

Listar 2020 por título

Mostrando ítems 31-50 de 59

    • 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 ...

    • Function Analysis of Industrial Robot under Cubic Polynomial Interpolation in Animation Simulation Environment 

      Li, You; Wang, Juan; Ji, Yiming (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2020)
      In order to study the effect of cubic polynomial interpolation in the trajectory planning of polishing robot manipulator, firstly, the articular robot operating arm is taken as the research object, and the overall system ...

    • Fuzzy C-Means Clustering with Histogram based Cluster Selection for Skin Lesion Segmentation using Non-Dermoscopic Images 

      Devi, Salam Shuleenda; Laskar, Rabul Hussain; Singh, Ngangbam Herojit (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2020)
      Purpose – Pre-screening of skin lesion for malignancy is highly demanded as melanoma being a life-threatening skin cancer due to unpaired DNA damage. In this paper, lesion segmentation based on Fuzzy C-Means clustering ...

    • Guidelines for performing Systematic Research Projects Reviews 

      García-Holgado, Alicia; Marcos-Pablos, Samuel; García-Peñalvo, Francisco (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2020)
      There are different methods and techniques to carry out systematic reviews in order to address a set of research questions or getting the state of the art of a particular topic, but there is no a method to carry out a ...

    • Incremental Hierarchical Clustering driven Automatic Annotations for Unifying IoT Streaming Data 

      Núñez-Valdez, Edward; Solanki, Vijender Kumar; Balakrishna, Sivadi; Thirumaran, M (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2020)
      In the Internet of Things (IoT), Cyber-Physical Systems (CPS), and sensor technologies huge and variety of streaming sensor data is generated. The unification of streaming sensor data is a challenging problem. Moreover, ...

    • Innovation and Challenges of Blockchain in Banking: A Scientometric View 

      Arjun, R; Suprabha, K R (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2020)
      Blockchain has been gaining focus in research and development for diverse industries in recent years. Nevertheless, innovations that impact to the banking nurture a potential for disruptive impact globally for economic ...

    • Intelligent Detection and Recovery from Cyberattacks for Small and Medium-Sized Enterprises 

      Lopez, Miguel Angel; Lombardo, Juan Manuel; López, Mabel; Alba, Carmen María; Velasco, Susana; Braojos, Manuel Alonso; Fuentes-García, Marta (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2020)
      Cyberattacks threaten continuously computer security in companies. These attacks evolve everyday, being more and more sophisticated and robust. In addition, they take advantage of security breaches in organizations and ...

    • 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 ...

    • Machine Learning Based Method for Estimating Energy Losses in Large-Scale Unbalanced Distribution Systems with Photovoltaics 

      Mahmoud, Karar; Abdel-Nasser, Mohamed; Kashef, Heba; Puig, Domenec; Lehtonen, Matti (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2020)
      In the recent years, the penetration of photovoltaics (PV) has obviously been increased in unbalanced power distribution systems. Driven by this trend, comprehensive simulation tools are required to accurately analyze ...

    • Mamdani Fuzzy Expert System Based Directional Relaying Approach for Six-Phase Transmission Line 

      Kumar, Naresh; Sanjay, Ch.; Chakravarthy, M (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2020)
      Traditional directional relaying methods for 6-phase transmission lines have complex effort, and so there is still a need for novel direction relaying estimation scheme. This study presents a Mamdani-fuzzy expert system ...

    • Multi Layered Multi Task Marker Based Interaction in Information Rich Virtual Environments 

      Rehman, I; Ullah, S; Khan, Dawar (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2020)
      Simple and cheap interaction has a key role in the operation and exploration of any Virtual Environment (VE). In this paper, we propose an interaction technique that provides two different ways of interaction (information ...

    • Multi-sense Embeddings Using Synonym Sets and Hypernym Information from Wordnet 

      Prasad Mudigonda, Krishna Siva; Sharma, Poonam (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2020)
      Word embedding approaches increased the efficiency of natural language processing (NLP) tasks. Traditional word embeddings though robust for many NLP activities, do not handle polysemy of words. The tasks of semantic ...

    • Multilayer Feedforward Neural Network for Internet Traffic Classification 

      Harish, B S; Nagadarshan, N; Manju, N (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2020)
      Recently, the efficient internet traffic classification has gained attention in order to improve service quality in IP networks. But the problem with the existing solutions is to handle the imbalanced dataset which has ...

    • NFC and VLC based Mobile Business Information System for Registering Class Attendance 

      Rios-Aguilar, Sergio; Sarría Martínez-Mendivil, Íñigo; Beltrán Pardo, Marta (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2020)
      This work proposes a Mobile Information System for class attendance control using Visible Light Communications (VLC), and the students’ own mobile devices for automatic clocking in and clocking out. The proposed information ...

    • On Improvement of Speech Intelligibility and Quality: A Survey of Unsupervised Single Channel Speech Enhancement Algorithms 

      Saleem, Nasir; Khattak, Muhammad Irfan; Verdú, Elena (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2020)
      Many forms of human communication exist; for instance, text and nonverbal based. Speech is, however, the most powerful and dexterous form for the humans. Speech signals enable humans to communicate and this usefulness of ...

    • Rumour Source Detection Using Game Theory 

      Jain, Minni; Jaswani, Aman; Mehra, Ankita; Mudgal, Laqshay (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2020)
      Social networks have become a critical part of our lives as they enable us to interact with a lot of people. These networks have become the main sources for creating, sharing and also extracting information regarding various ...

    • Smart Contracts with Blockchain in the Public Sector 

      Triana Casallas, Jenny Alexandra; Cueva-Lovelle, Juan Manuel; Rodríguez Molano, José Ignacio (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2020)
      The appearance of so-called block chains or Blockchain with the promise of transforming trust and the way value is exchanged, joins the expansion of the technological capabilities of organizations to achieve higher levels ...

    • Soft Computing Modelling of Urban Evolution: Tehran Metropolis 

      Borhani, Mostafa; Ghasemloo, Nima (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2020)
      Exploring computational intelligence, geographic information systems and statistical information, a creative and innovative model for urban evolution is presented in this paper. The proposed model employs fuzzy logic and ...

    • Solving an Optimal Control Problem of Cancer Treatment by Artificial Neural Networks 

      Heydarpour, F.; Abbasi, E.; Ebadi, M. J.; Karbassi, S. M. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2020)
      Cancer is an uncontrollable growth of abnormal cells in any tissue of the body. Many researchers have focused on machine learning and artificial intelligence (AI) based on approaches for cancer treatment. Dissimilar to ...

    • TD2SecIoT: Temporal, Data-Driven and Dynamic Network Layer Based Security Architecture for Industrial IoT 

      Dejene, Dawit; Tiwari, Basant; Tiwari, Vivek (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2020)
      The Internet of Things (IoT) is an emerging technology, which comprises wireless smart sensors and actuators. Nowadays, IoT is implemented in different areas such as Smart Homes, Smart Cities, Smart Industries, Military, ...