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ListarRevista IJIMAI por tema "neural network"

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    • A Novel Approach on Visual Question Answering by Parameter Prediction using Faster Region Based Convolutional Neural Network 

      Jha, Sudan; Dey, Anirban; Kumar, Raghvendra; Kumar-Solanki, Vijender (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)
      Visual Question Answering (VQA) is a stimulating process in the field of Natural Language Processing (NLP) and Computer Vision (CV). In this process machine can find an answer to a natural language question which is related ...

    • A Novel Smart Grid State Estimation Method Based on Neural Networks 

      Abdel-Nasser, Mohamed; Mahmoud, Karar; Kashef, Heba (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2018)
      The rapid development in smart grids needs efficient state estimation methods. This paper presents a novel method for smart grid state estimation (e.g., voltages, active and reactive power loss) using artificial neural ...

    • An Improved Artificial Intelligence Based on Gray Wolf Optimization and Cultural Algorithm to Predict Demand for Dairy Products: A Case Study 

      Goli, Alireza; Zare, Hassan Khademi; Tavakkoli-Moghaddam, Reza; Sadeghieh, Ahmad (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2019)
      This paper provides an integrated framework based on statistical tests, time series neural network and improved multi-layer perceptron neural network (MLP) with novel meta-heuristic algorithms in order to obtain best ...

    • Analyzing the EEG Signals in Order to Estimate the Depth of Anesthesia using Wavelet and Fuzzy Neural Networks 

      Esmaeilpour, Mansour; Mohammadi, Ali Reis Ali (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2016)
      Estimating depth of Anesthesia in patients with the objective to administer the right dosage of drug has always attracted the attention of specialists. To study Anesthesia, researchers analyze brain waves since this is the ...

    • Applying Bayesian Regularization for Acceleration of Levenberg-Marquardt based Neural Network Training 

      Suliman, Azizah; Omarov, Batyrkhan (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2018)
      Neural network is widely used for image classification problems, and is proven to be effective with high successful rate. However one of its main challenges is the significant amount of time it takes to train the network. ...

    • Classification-based Deep Neural Network Architecture for Collaborative Filtering Recommender Systems 

      Bobadilla, Jesús; Ortega, Fernando; Gutiérrez, Abraham; Alonso, Santiago (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2020)
      This paper proposes a scalable and original classification-based deep neural architecture. Its collaborative filtering approach can be generalized to most of the existing recommender systems, since it just operates on the ...

    • Consensus-Based Learning for MAS: Definition, Implementation and Integration in IVEs 

      Carrascosa, C.; Enguix, F.; Rebollo, M.; Rincon, J. (International Journal of Interactive Multimedia and Artificial Intelligence, 09/2023)
      One of the main advancements in distributed learning may be the idea behind Google’s Federated Learning (FL) algorithm. It trains copies of artificial neural networks (ANN) in a distributed way and recombines the weights ...

    • Deep Belief Network and Auto-Encoder for Face Classification 

      Bouchra, Nassih; Mohammed, Ngadi; Nabil, Hmina; Aouatif, Amine (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)
      The Deep Learning models have drawn ever-increasing research interest owing to their intrinsic capability of overcoming the drawback of traditional algorithm. Hence, we have adopted the representative Deep Learning methods ...

    • Exploratory Boosted Feature Selection and Neural Network Framework for Depression Classification 

      Arun, Vanishri; Krishna, Murali; Arunkumar, B V; Padma, S K; Shyam (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2018)
      Depression is a burdensome psychiatric disease common in low and middle income countries causing disability, morbidity and mortality in late life. In this study, we demonstrate a novel approach for detection of depression ...

    • Genetic Algorithm for Restricted Maximum k-Satisfiability in the Hopfield Network 

      Kasihmuddin, Mohd Shareduwan Bin Mohd; Mansor, Mohd Asyraf Bin; Sathasivam, Saratha (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2016)
      The restricted Maximum k-Satisfiability MAX- kSAT is an enhanced Boolean satisfiability counterpart that has attracted numerous amount of research. Genetic algorithm has been the prominent optimization heuristic algorithm ...

    • 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 ...

    • 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 ...

    • Neural Networks through Shared Maps in Mobile Devices 

      Raveane, William; González Arrieta, María Angélica (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2014)
      We introduce a hybrid system composed of a convolutional neural network and a discrete graphical model for image recognition. This system improves upon traditional sliding window techniques for analysis of an image larger ...

    • Neural Scoring of Logical Inferences from Data using Feedback 

      Susaiyah, Allmin; Härmä, Aki; Reiter, Ehud; Petković, Milan (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2021)
      Insights derived from wearable sensors in smartwatches or sleep trackers can help users in approaching their healthy lifestyle goals. These insights should indicate significant inferences from user behaviour and their ...

    • Painting Authorship and Forgery Detection Challenges with AI Image Generation Algorithms: Rembrandt and 17th Century Dutch Painters as a Case Study 

      Fraile-Narvaez, Marcelo; Sagredo-Olivenza, Ismael; McGowan, Nadia (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2022)
      Image authorship attribution presents many challenges and difficulties which have increased with the capabilities presented by synthetic image generation through different artificial intelligence algorithms available today. ...

    • Removing Unclassified Hand Tremor Motion from Computer Mouse Input with Neural Networks 

      Mack, Stephen (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2018)
      An artificial neural network based filter to remove unwanted tremor-induced motion in computer mouse input is presented and tested. A method to efficiently capture appropriate training data is shown to be important in the ...

    • Robust Artificial Immune System in the Hopfield network for Maximum k-Satisfiability 

      Bin Mohd Kasihmuddin, Mohd Shareduwan; Bin Mansor, Mohd Asyraf; Sathasivam, Saratha (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2017)
      Artificial Immune System (AIS) algorithm is a novel and vibrant computational paradigm, enthused by the biological immune system. Over the last few years, the artificial immune system has been sprouting to solve numerous ...

    • Selecting Statistical Characteristics of Brain Signals to Detect Epileptic Seizures using Discrete Wavelet Transform and Perceptron Neural Network 

      Esmaeilpour, Mansour; Abbasi, Rezvan (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2017)
      Electroencephalogram signals (EEG) have always been used in medical diagnosis. Evaluation of the statistical characteristics of EEG signals is actually the foundation of all brain signal processing methods. Since the correct ...

    • Smart Algorithms to Control a Variable Speed Wind Turbine 

      Farhane, Nabil; Boumhidi, Ismail; Boumhidi, Jaouad (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2017)
      In this paper, a robust adaptive fuzzy neural network sliding mode (AFNNSM) control design is proposed to maximize the captured energy for a variable speed wind turbine and to minimize the efforts of the drive shaft. Fuzzy ...

    • Solving the Weighted Constraint Satisfaction Problems Via the Neural Network Approach 

      Ettaouil, Mohamed; Haddouch, Khalid; Elmoutaoukil, Karim (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2016)
      A wide variety of real world optimization problems can be modelled as Weighted Constraint Satisfaction Problems (WCSPs). In this paper, we model this problem in terms of in original 0-1 quadratic programming subject to ...