Mostrando ítems 21-33 de 33

    • MDFRCNN: Malware Detection using Faster Region Proposals Convolution Neural Network 

      Deore, Mahendra; Kulkarni, Uday (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      Technological advancement of smart devices has opened up a new trend: Internet of Everything (IoE), where all devices are connected to the web. Large scale networking benefits the community by increasing connectivity and ...
    • 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 ...
    • 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 ...
    • OpinAIS: An Artificial Immune System-based Framework for Opinion Mining 

      Baldominos, Alejandro; Luis Mingueza, Nerea; García del Pozo, Mª Cristina (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2015)
      This paper proposes the design of an evolutionary algorithm for building classifiers specifically aimed towards performing classification and sentiment analysis over texts. Moreover, it has properties taken from Artificial ...
    • Real Time Facial Expression Recognition Using Webcam and SDK Affectiva 

      Magdin, Martin; Prikler, F (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2018)
      Facial expression is an essential part of communication. For this reason, the issue of human emotions evaluation using a computer is a very interesting topic, which has gained more and more attention in recent years. It ...
    • Recognizing Human Activities Userindependently on Smartphones Based on Accelerometer Data 

      Siirtola, Pekka; Röning, Juha (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2012)
      Real-time human activity recognition on a mobile phone is presented in this article. Unlike in most other studies, not only the data were collected using the accelerometers of a smartphone, but also models were implemented ...
    • ResNet18 Supported Inspection of Tuberculosis in Chest Radiographs With Integrated Deep, LBP, and DWT Features 

      Rajinikanth, Venkatesan; Kadry, Seifedine; Moreno-Ger, Pablo (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)
      The lung is a vital organ in human physiology and disease in lung causes various health issues. The acute disease in lung is a medical emergency and hence several methods are developed and implemented to detect the lung ...
    • Segmentation-free Word Spotting for Handwritten Arabic Documents 

      Khaissidi, Ghizlane; Elfakir, Youssef; Mrabti, Mostafa; El Yacoubi, Mounîm; Chenouni, Driss (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2016)
      In this paper we present an unsupervised segmentation-free method for spotting and searching query, especially, for images documents in handwritten Arabic, for this, Histograms of Oriented Gradients (HOGs) are used as the ...
    • Sentiment Analysis on IMDb Movie Reviews Using Hybrid Feature Extraction Method 

      Harish, B S; Kumar, Keerthi; Darshan, H K (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)
      Social Networking sites have become popular and common places for sharing wide range of emotions through short texts. These emotions include happiness, sadness, anxiety, fear, etc. Analyzing short texts helps in identifying ...
    • Statistical Comparisons of the Top 10 Algorithms in Data Mining for Classification Task 

      Settouti, Nesma; El Amine Bechar, Mohammed; Amine Chikh, Mohammed (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2016)
      This work is builds on the study of the 10 top data mining algorithms identified by the IEEE International Conference on Data Mining (ICDM) community in December 2006. We address the same study, but with the application ...
    • The Application of Deep Learning for Classification of Alzheimer's Disease Stages by Magnetic Resonance Imaging Data 

      Irfan, Muhammad; Shahrestani, Seyed; ElKhodr, Mahmoud (International Journal of Interactive Multimedia and Artificial Intelligence, 07/2023)
      Detecting Alzheimer’s disease (AD) in its early stages is essential for effective management, and screening for Mild Cognitive Impairment (MCI) is common practice. Among many deep learning techniques applied to assess brain ...
    • The Possibilities of Classification of Emotional States Based on User Behavioral Characteristics 

      Magdin, Martin; Držík, D.; Reichel, J.; Koprda, S . (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2020)
      The classification of user's emotions based on their behavioral characteristic, namely their keyboard typing and mouse usage pattern is an effective and non-invasive way of gathering user's data without imposing any ...
    • Voice Analysis Using PRAAT Software and Classification of User Emotional State 

      Magdin, Martin; Sulka, T; Tomanová, J; Vozár, M (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2019)
      During the last decades the field of IT has seen an incredible and very rapid development. This development has shown that it is important not only to shift performance and functional boundaries but also to adapt the way ...