Enhancing multi-class web video categorization model using machine and deep learning approaches

Arabic Text Categorization using Machine Learning Approaches

Arabic Text categorization is considered one of the severe problems in classification using machine learning algorithms. Achieving high accuracy in Arabic text categorization depends on the preprocessing techniques used to prepare the data set. Thus, in this paper, an investigation of the impact of the preprocessing methods concerning the performance of three machine learning algorithms, namely...

Georeferencing Semi-Structured Place-Based Web Resources Using Machine Learning

In recent years, the shared content on the web has had significant growth. A great part of these information are publicly available in the form of semi-strunctured data. Moreover, a significant amount of these information are related to place. Such types of information refer to a location on the earth, however, they do not contain any explicit coordinates. In this research, we tried to georefer...

Automatically Labeling Video Data Using Multi-class Active Learning

Labeling video data is an essential prerequisite for many vision applications that depend on training data, such as visual information retrieval, object recognition, and human activity modeling. However, manually creating labels is not only time-consuming but also subject to human errors, and eventually, becomes impossible for a very large amount of data (e.g. 24/7 surveillance video). To minim...

Multi-class protein Structure Prediction Using Machine Learning Techniques

Protein structure prediction is the major problem in the field of bioinformatics or Computation biology. Recently many researchers used various data mining and machine learning tool for protein structure prediction. My intention is to use model based (i.e., supervised learning) approach for protein secondary structure prediction and our objective is to enhance the prediction of 1D and 2D protei...

Video Transcoding Using Machine Learning