Programming Language Concepts for Multimedia Application Development

Author(s):  
Oliver Lampl ◽  
Elmar Stellnberger ◽  
László Böszörményi
2019 ◽  
Vol 21 (1) ◽  
pp. 1-10
Author(s):  
Amelinda Chendra ◽  
Kristina G. Simanjuntak ◽  
Andree E. Widjaja ◽  
Suryasari Suryasari

Nowadays, the application of information systems can be applied in many fields, one of which is to support the process of adopting dog as a pet. The purpose of this research therefore is to develop an integrated information system that can be used to facilitate the process of adopting dogs. The developed information system which is web-based has several main functions, such as searching for dogs, managing adoption requests, monitoring dogs that have been adopted, and periodically managing user reports. The proposed system was developed using Rapid Application Development method, PHP programming language, Code Igniter frameworks, and MySQL database. Meanwhile, the system was tested using the black box testing method.


2020 ◽  
Vol 2 (3) ◽  
pp. 164-177
Author(s):  
Mahmoud S. Fayed ◽  
Muhammad Al-Qurishi ◽  
Atif Alamri ◽  
M. Anwar Hossain ◽  
Ahmad A. Al-Daraiseh

Author(s):  
Anitha Elavarasi S. ◽  
Jayanthi J.

Machine learning provides the system to automatically learn without human intervention and improve their performance with the help of previous experience. It can access the data and use it for learning by itself. Even though many algorithms are developed to solve machine learning issues, it is difficult to handle all kinds of inputs data in-order to arrive at accurate decisions. The domain knowledge of statistical science, probability, logic, mathematical optimization, reinforcement learning, and control theory plays a major role in developing machine learning based algorithms. The key consideration in selecting a suitable programming language for implementing machine learning algorithm includes performance, concurrence, application development, learning curve. This chapter deals with few of the top programming languages used for developing machine learning applications. They are Python, R, and Java. Top three programming languages preferred by data scientist are (1) Python more than 57%, (2) R more than 31%, and (3) Java used by 17% of the data scientists.


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