Investigation into Improved Extraction

Laboratory investigation of water extraction effects on saltwater wedge displacement

There is a close connection between saltwater intrusion into aquifers and groundwater extraction. Freshwater extraction in coastal aquifers is one of the most important reasons for the saltwater intrusion into these aquifers. Condition of extraction system such as well depth, discharge rate, saltwater concentration and etc. could affect this process widely. Thus, investigating different extract...

An Investigation into Norm Extraction with Regard to Domestication and Foreignization of Culture-Specific Items: A Case of Children’s Literature in the Past Four Years

The aim of this research was an investigation into norm extraction regarding the domestication and foreigni- zation of culture specific items (CSIs) in the children‟s literature in the last four years (from 1393 to 1396). The corpus of this study was 8 English children‟s books with their Persian translated versions. The theoreti- cal fra...

An Investigation Into Computer Forensic Tools

Cyber-crime has reached unprecedented proportions in this day and age. In addition, the internet has created a world with seemingly no barriers while making a countless number of tools available to the cyber-criminal. In light of this, Computer Forensic Specialists employ state-of-the-art tools and methodologies in the extraction and analysis of data from storage devices used at the digital cri...

New improved feature extraction methods for real-time high performance image sequence recognition

This paper describes new feature extraction methods which can be used very effectively in combination with statistical methods for image sequence recognition. Although these feature extraction methods can be used for a wide variety of image sequence processing applications, the target application presented in this paper is gesture recognition. The novel feature extraction methods have been inte...

Investigation of Packing Effect on Mass Transfer Coefficient in a Single Drop Liquid Extraction Column

Investigation on How Data Volume Affects Transfer Learning Performances in Business Applications

Transfer learning helps to build a system to recognize and apply knowledge and experience learned in previous tasks (source task) to new tasks or new domains (target task), which share some commonality. The two important factors that impact the performance of transfer learning models are: (a) the size of the target dataset and (b) the similarity in distribution between source and target domains...