Mostrando ítems 1-18 de 18

    • An Intelligent Technique for Grape Fanleaf Virus Detection 

      Mohammadpoor, Mojtaba; Nooghabi, Mohadese Gerami; Ahmedi, Zahra (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2020)
      Grapevine Fanleaf Virus (GFLV) is one of the most important viral diseases of grapes, which can damage up to 85% of the crop, if not treated at the right time. The aim of this study is to identify infected leaves with GFLV ...
    • Artificial Intelligence Seen Through the Lens of Bateson’s Ecology of Mind 

      Griffiths, Dai (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2021)
      Gregory Bateson developed a number of ideas which are relevant to artificial intelligence, and in particular to the ascription of qualities such as mind, consciousness, spirituality and the sacred. Relevant sections of ...
    • Clasification Of Arrhythmic ECG Data Using Machine Learning Techniques 

      Vishwa, Abhinav; Lal, Mohit K.; Dixit, Sharad; Vardwaj, Dr. Pritish (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2011)
      In this paper we proposed a automated Artificial Neural Network (ANN) based classification system for cardiac arrhythmia using multi-channel ECG recordings. In this study, we are mainly interested in producing high confident ...
    • Comparative Study of Classification Techniques on Breast Cancer FNA Biopsy Data 

      You, Haowen;; Rumbe, George (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2010)
      Accurate diagnostic detection of the cancerous cells in a patient is critical and may alter the subsequent treatment and increase the chances of survival rate. Machine learning techniques have been instrumental in ...
    • Cross-Lingual Neural Network Speech Synthesis Based on Multiple Embeddings 

      Nosek, Tijana V.; Suzić, Siniša B.; Pekar, Darko J.; Obradović, Radovan J.; Sečujski, Milan S.; Delić, Vlado D. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      The paper presents a novel architecture and method for speech synthesis in multiple languages, in voices of multiple speakers and in multiple speaking styles, even in cases when speech from a particular speaker in the ...
    • 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 ...
    • Hybrid Model for Passive Locomotion Control of a Biped Humanoid:The Artificial Neural Network Approach 

      Bhaskar-Semwal, Vijay; Raj, Manish; Nandi, G C (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2018)
      Developing a correct model for a biped robot locomotion is extremely challenging due to its inherently unstable structure because of the passive joint located at the unilateral foot-ground contact and varying configurations ...
    • Improved Shape Parameter Estimation in K Clutter with Neural Networks and Deep Learning 

      Machado Fernández, José Raúl; Bacallao Vidal, Jesús de la Concepción (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2016)
      The discrimination of the clutter interfering signal is a current problem in modern radars’ design, especially in coastal or offshore environments where the histogram of the background signal often displays heavy tails. ...
    • Improved Shape Parameter Estimation in Pareto Distributed Clutter with Neural Networks 

      Bacallao-Vidal, Jesús Concepción; Machado-Fernández, José Raúl (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2016)
      The main problem faced by naval radars is the elimination of the clutter input which is a distortion signal appearing mixed with target reflections. Recently, the Pareto distribution has been related to sea clutter ...
    • 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 ...
    • LIPSNN: A Light Intrusion-Proving Siamese Neural Network Model for Facial Verification 

      Alcaide, Asier; Patricio, Miguel A.; Berlanga, Antonio; Arroyo, Angel; Cuadrado Gallego, Juan J. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      Facial verification has experienced a breakthrough in recent years, not only due to the improvement in accuracy of the verification systems but also because of their increased use. One of the main reasons for this has been ...
    • Performance Enhancement of Wind Farms Using Tuned SSSC Based on Artificial Neural Network 

      Kamel, Salah; Jurado, Francisco; Rashad, Ahmed; Ibrahim, Yousry; Nasrat, Loai (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2019)
      Recently, power systems are confronting a lot of challenges. Increasing the dependence on renewable energy sources especially wind energy and its impact on the stability of electrical systems are the most important challenges. ...
    • Point Cloud Deep Learning Solution for Hand Gesture Recognition 

      Osimani, César; Ojeda-Castelo, Juan Jesus; Piedra-Fernandez, Jose A. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2023)
      In the last couple of years, there has been an increasing need for Human-Computer Interaction (HCI) systems that do not require touching the devices to control them, such as ATMs, self service kiosks in airports, terminals ...
    • Predictive Model for Taking Decision to Prevent University Dropout 

      Urbina-Nájera, Argelia B.; Méndez-Ortega, Luis A. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      Dropout is an educational phenomenon studied for decades due to the diversity of its causes, whose effects fall on society's development. This document presents an experimental study to obtain a predictive model that allows ...
    • Sales Prediction through Neural Networks for a Small Dataset 

      Cantón Croda, Rosa María; Gibaja Romero, Damián Emilio; Caballero Morales, Santiago Omar (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2019)
      Sales forecasting allows firms to plan their production outputs, which contributes to optimizing firms' inventory management via a cost reduction. However, not all firms have the same capacity to store all the necessary ...
    • 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 ...
    • Workforce Optimization for Bank Operation Centers: A Machine Learning Approach 

      Serengil, Sefik Ilkin; Ozpinar, Alper (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2017)
      Online Banking Systems evolved and improved in recent years with the use of mobile and online technologies, performing money transfer transactions on these channels can be done without delay and human interaction, however ...