Listar por tema "neural network"
Mostrando ítems 21-31 de 31
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Multilayer Feedforward Neural Network for Internet Traffic Classification
(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
(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
(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
(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
(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
(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
(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
(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
(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 ... -
Temporal Information Processing and Stability Analysis of the MHSN Neuron Model in DDF
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2016)Implementation of a neuron like information processing structure at hardware level is a burning research problem. In this article, we analyze the modified hybrid spiking neuron model (the MHSN model) in distributed delay ... -
The Combination of Mammography and MRI for Diagnosing Breast Cancer Using Fuzzy NN and SVM
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2017)Breast cancer is one of the common cancers among women so that early diagnosing of it can effectively help its treatment in this study, considering combination of Mammography and MRI pictures, we will try to recognize ...