Buscar
Mostrando ítems 1-5 de 5
IJIMAI Editor's Note - Vol. 5 Issue 1
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2018-06)
The International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI) provides an interdisciplinary forum in which scientists and professionals share their research results and report new advances on ...
NSL-BP: A Meta Classifier Model Based Prediction of Amazon Product Reviews
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2021-06)
In machine learning, the product rating prediction based on the semantic analysis of the consumers' reviews is a relevant topic. Amazon is one of the most popular online retailers, with millions of customers purchasing and ...
An Enhanced Texture-Based Feature Extraction Approach for Classification of Biomedical Images of CT-Scan of Lungs
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2021-09)
Content Based Image Retrieval (CBIR) techniques based on texture have gained a lot of popularity in recent times. In the proposed work, a feature vector is obtained by concatenation of features extracted from local mesh ...
Optimizing Fast Fourier Transform (FFT) Image Compression using Intelligent Water Drop (IWD) Algorithm
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2022-12)
Digital image compression is the technique in digital image processing where special attention is provided in decreasing the number of bits required to represent a digital image. A wide range of techniques have been developed ...
Gesture Recognition of RGB and RGB-D Static Images Using Convolutional Neural Networks
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2019-12)
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 ...