Mostrando ítems 1-18 de 18

    • A Convolution Neural Network Engine for Sclera Recognition 

      Harish, B S; Maheshan, M S; Nagadarshan, N (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2020)
      The world is shifting to the digital era in an enormous pace. This rise in the digital technology has created plenty of applications in the digital space, which demands a secured environment for transacting and authenticating ...
    • A Recent Trend in Individual Counting Approach Using Deep Network 

      Ghazvini, Anahita; Abdullah, Siti Norul Huda Sheikh; Ayob, Masri (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)
      In video surveillance scheme, counting individuals is regarded as a crucial task. Of all the individual counting techniques in existence, the regression technique can offer enhanced performance under overcrowded area. ...
    • Acoustic Classification of Mosquitoes using Convolutional Neural Networks Combined with Activity Circadian Rhythm Information 

      Kim, Jaehoon; Oh, Jeongkyu; Heo, Tae-Young (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      Many researchers have used sound sensors to record audio data from insects, and used these data as inputs of machine learning algorithms to classify insect species. In image classification, the convolutional neural network ...
    • 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 (1); 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 ...
    • Automated Detection of COVID-19 using Chest X-Ray Images and CT Scans through Multilayer- Spatial Convolutional Neural Networks 

      Khattak, Muhammad Irfan; Al-Hasan, Mu’ath; Jan, Atif; Saleem, Nasir; Verdú, Elena; Khurshid, Numan (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      The novel coronavirus-2019 (Covid-19), a contagious disease became a pandemic and has caused overwhelming effects on the human lives and world economy. The detection of the contagious disease is vital to avert further ...
    • COVID-19 Detection in Chest X-ray Images using a Deep Learning Approach 

      Saiz, Fátima; Barandiaran, Iñigo (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2020)
      The Corona Virus Disease (COVID-19) is an infectious disease caused by a new virus that has not been detected in humans before. The virus causes a respiratory illness like the flu with various symptoms such as cough or ...
    • COVID-19 Mortality Risk Prediction Using X-Ray Images 

      Prada, J.; Gala, Y.; Sierra, A. L. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      The pandemic caused by coronavirus COVID-19 has already had a massive impact in our societies in terms of health, economy, and social distress. One of the most common symptoms caused by COVID-19 are lung problems like ...
    • Deep Feature Representation and Similarity Matrix based Noise Label Refinement Method for Efficient Face Annotation 

      Suruliandi, A.; Kasthuri, A.; Raja, S. P. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      Face annotation is a naming procedure that assigns the correct name to a person emerging from an image. Faces that are manually annotated by people in online applications include incorrect labels, giving rise to the issue ...
    • Deep Learning-based Side Channel Attack on HMAC SM3 

      Jin, Xin; Xiao, Yong; Li, Shiqi; Wang, Suying (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2020)
      SM3 is a Chinese hash standard. HMAC SM3 uses a secret key to encrypt the input text and gives an output as the HMAC of the input text. If the key is recovered, adversaries can easily forge a valid HMAC. We can choose ...
    • Deep Multi-Model Fusion for Human Activity Recognition Using Evolutionary Algorithms 

      Verma, Kamal Kant; Singh, Brij Mohan (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      Machine recognition of the human activities is an active research area in computer vision. In previous study, either one or two types of modalities have been used to handle this task. However, the grouping of maximum ...
    • Eye-Tracking Signals Based Affective Classification Employing Deep Gradient Convolutional Neural Networks 

      Li, Yuanfeng; Deng, Jiangang; Wu, Qun; Wang, Ying (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      Utilizing biomedical signals as a basis to calculate the human affective states is an essential issue of affective computing (AC). With the in-depth research on affective signals, the combination of multi-model cognition ...
    • Gesture Recognition of RGB and RGB-D Static Images Using Convolutional Neural Networks 

      González-Crespo, Rubén; Verdú, Elena; Khari, Manju; Garg, Aditya Kumar (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2019)
      In this era, the interaction between Human and Computers has always been a fascinating field. With the rapid development in the field of Computer Vision, gesture based recognition systems have always been an interesting ...
    • Heterogeneous computing model for post-injury walking pattern restoration and postural stability rehabilitation exercise recognition 

      Bijalwan, Vishwanath; Semwal, V.B.; Singh, G.; González-Crespo, Rubén (1) (Blackwell Publishing Ltd, 2021)
      The research paper presents the heterogeneous computing model for analysis & restoration of human walking deformity and posture instability. Gait-related walking activities are very important for the analysis of postural ...
    • Image Classification Methods Applied in Immersive Environments for Fine Motor Skills Training in Early Education 

      Gaona-García, Paulo Alonso; Montenegro-Marin, Carlos Enrique; Sarría Martínez-Mendivil, Íñigo; Restrepo Rodríguez, Andrés Ovidio; Ariza Riaño, Maddyzeth (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2019)
      Fine motor skills allow to carry out the execution of crucial tasks in people's daily lives, increasing their independence and self-esteem. Among the alternatives for working these skills, immersive environments are found ...
    • Motivic Pattern Classification of Music Audio Signals Combining Residual and LSTM Networks 

      Arronte Alvarez, Aitor; Gómez, Francisco (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      Motivic pattern classification from music audio recordings is a challenging task. More so in the case of a cappella flamenco cantes, characterized by complex melodic variations, pitch instability, timbre changes, extreme ...
    • Music Boundary Detection using Convolutional Neural Networks: A Comparative Analysis of Combined Input Features 

      Hernandez-Olivan, Carlos; Beltran, Jose R.; Diaz-Guerra, David (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      The analysis of the structure of musical pieces is a task that remains a challenge for Artificial Intelligence, especially in the field of Deep Learning. It requires prior identification of the structural boundaries of the ...
    • Pulmonary Nodule Classification in Lung Cancer from 3D Thoracic CT Scans Using fastai and MONAI 

      Kaliyugarasan, Satheshkumar; Lundervold, Arvid; Lundervold, Alexander Selvikvåg (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2021)
      We construct a convolutional neural network to classify pulmonary nodules as malignant or benign in the context of lung cancer. To construct and train our model, we use our novel extension of the fastai deep learning ...
    • Two-Stage Human Activity Recognition Using 2D-ConvNet 

      Verma, Kamal Kant; Singh, Brij Mohan; Mandoria, H L; Chauhan, Prachi (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2020)
      There is huge requirement of continuous intelligent monitoring system for human activity recognition in various domains like public places, automated teller machines or healthcare sector. Increasing demand of automatic ...