Mostrando ítems 1-13 de 13

    • A Depth Video-based Human Detection and Activity Recognition using Multi-features and Embedded Hidden Markov Models for Health Care Monitoring Systems 

      Jalal, Ahmad; Kamal, Shaharyar; Kim, Daijin (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2017)
      Increase in number of elderly people who are living independently needs especial care in the form of healthcare monitoring systems. Recent advancements in depth video technologies have made human activity recognition (HAR) ...
    • A Feature Extraction Method Based on Feature Fusion and its Application in the Text-Driven Failure Diagnosis Field 

      Zhou, Shenghan; Chen, Bang; Zhang, Yue; Liu, HouXiang; Xiao, Yiyong; Pan, Xing (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2020)
      As a basic task in NLP (Natural Language Processing), feature extraction directly determines the quality of text clustering and text classification. However, the commonly used TF-IDF (Term Frequency & Inverse Document ...
    • Agente conversacional para búsqueda y recomendación de ofertas laborales 

      Gómez-Loizaga, Héctor Antonio (18/09/2019)
      El objetivo del presente trabajo es el desarrollo de la arquitectura y metodología utilizada por un agente conversacional para interaccionar con un usuario y extraer la información necesaria que le permita actuar como ...
    • An Evolutionary SVM Model for DDOS Attack Detection in Software Defined Networks 

      Sahoo, Kshira Sagar; Tripathy, Bata Krishna; Naik, Kshirasagar; Ramasubbareddy, Somula; Balusamy, Balamurugan; Khari, Manju; Burgos, Daniel (1) (IEEE ACCESS, 2020)
      Software-Defined Network (SDN) has become a promising network architecture in current days that provide network operators more control over the network infrastructure. The controller, also called as the operating system ...
    • Analysis of Gait Pattern to Recognize the Human Activities 

      Prakash Gupta, Jay; Dixit, Pushkar; Singh, Nishant; Bhaskar Aemwal, Vijay (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2014)
      Human activity recognition based on the computer vision is the process of labelling image sequences with action labels. Accurate systems for this problem are applied in areas such as visual surveillance, human computer ...
    • Diagnosis of Malignant Melanoma of Skin Cancer Types 

      Alasadi, Abbas Hassin; Alsafy, Baidaa (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2017)
      Malignant melanoma is a kind of skin cancer that begins in melanocytes. It can influence on the skin only, or it may expand to the bones and organs. It is less common, but more serious and aggressive than other types of ...
    • Extensive Classification of Visual Art Paintings for Enhancing Education System using Hybrid SVM-ANN with Sparse Metric Learning based on Kernel Regression 

      Xu, Fei; Wu, Tong; Huang, Shali; Han, Kuntong; Lin, Wenwen; Wu, Shizhong; CB, Sivaparthipan; Dinesh Jackson, Samuel R (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      In recent decades, the collection of visual art paintings is large, digitized, and available for public uses that are rapidly growing. The development of multi-media systems is needed due to the huge amount of digitized ...
    • Feature Selection for Image Retrieval based on Genetic Algorithm 

      Welekar, Rashmi; Kushwaha, Preeti (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2016)
      This paper describes the development and implementation of feature selection for content based image retrieval. We are working on CBIR system with new efficient technique. In this system, we use multi feature extraction ...
    • Handwritten Character Recognition Based on the Specificity and the Singularity of the Arabic Language 

      Boulid, Youssef; Souhar, Abdelghani; Elyoussfi Elkettani, Mohamed (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2017)
      A good Arabic handwritten recognition system must consider the characteristics of Arabic letters which can be explicit such as the presence of diacritics or implicit such as the baseline information (a virtual line on which ...
    • 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 ...
    • Multi-agent Systems for Arabic Handwriting Recognition 

      Boulid, Youssef; Souhar, Abdelghani; Elyoussfi Elkettani, Mohamed (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2017)
      This paper aims to give a presentation of the PhD defended by Boulid Youssef on December 26th, 2016 at University Ibn Tofail, entitled “Arabic handwritten recognition in an offline mode”. The adopted approach is realized ...
    • N-grams Based Supervised Machine Learning Model for Mobile Agent Platform Protection against Unknown Malicious Mobile Agents 

      Bagga, Pallavi; Hans, Rahul; Sharma, Vipul (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2017)
      From many past years, the detection of unknown malicious mobile agents before they invade the Mobile Agent Platform has been the subject of much challenging activity. The ever-growing threat of malicious agents calls for ...
    • Tree-based convolutional neural networks for object classification in segmented satellite images 

      Robinson, Y.H.; Vimal, S.; Khari, Manju; López Hernández, Fernando (1); González-Crespo, Rubén (1) (SAGE Publications Inc., 2020)
      Satellite images have a very high resolution, which make their automatic processing computationally costly, and they suffer from artifacts making their processing difficult. This paper describes a method for the effective ...