Listar por tema "long short term memory"
Mostrando ítems 1-6 de 6
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A Novel Approach on Visual Question Answering by Parameter Prediction using Faster Region Based Convolutional Neural Network
(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 ... -
An Empiric Analysis of Wavelet-Based Feature Extraction on Deep Learning and Machine Learning Algorithms for Arrhythmia Classification
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)The aberration in human electrocardiogram (ECG) affects cardiovascular events that may lead to arrhythmias. Many automation systems for ECG classification exist, but the ambiguity to wisely employ the in-built feature ... -
Board of Directors' Profile: A Case for Deep Learning as a Valid Methodology to Finance Research
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2022)This paper presents a Deep Learning (DL) model for natural language processing of unstructured CVs to generate a six-dimensional profile of the professional experience of the Spanish companies' board of directors. We show ... -
Deep Multi-Model Fusion for Human Activity Recognition Using Evolutionary Algorithms
(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 ... -
Optimized DWT Based Digital Image Watermarking and Extraction Using RNN-LSTM
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)The rapid growth of Internet and the fast emergence of multi-media applications over the past decades have led to new problems such as illegal copying, digital plagiarism, distribution and use of copyrighted digital data. ... -
Stacked LSTM for Short-Term Wind Power Forecasting Using Multivariate Time Series Data
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 07/2024)Currently, wind power is the fast growing area in the domain of renewable energy generation. Accurate prediction of wind power output in wind farms is crucial for addressing the challenges associated the power grid. This ...
