The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper implemented the web-based GIS Hotels Business Tourism Site in Khartoum state. The motivation as well as the problem statement is the lack of spatial data and geographical informations of Business Hotels tourism in Khartoum state, hence, lead to the unavailability of web based Business Hotels tourism, also the lack of research papers in this field. One of important goal is the way of supporting...
A Bandwidth reservation is an essential component in providing of quality of service (QoS) in vehicular ad hoc networking (VANENTs). The recommended MAC protocol for VANET experiences a high percentage of packet loss. Somehow its performance can be improved by using Time Division Multiple Access (TDMA) techniques. In this paper, we propose a new algorithm for multi-constrained QoS routing and show...
Machine learning is a subdivision of Artificial Intelligence (AI) that is concerned with the design and development of intelligent algorithms that enables machines to learn from data without being programmed. Machine learning mainly focus on how to automatically recognize complex patterns among data and make intelligent decisions. In this paper, intelligent machine learning algorithms are used to...
In this paper, we present a performance evaluation of two real-time multiprocessor scheduling algorithms: Largest Remaining Execution-Time and Local time domain (LRE-TL) and Unfair Semi-Greedy (USG). The aim of this evolution is to reflect the unseen time overhead incurred by optimal real-time algorithm, represented by LRE-TL, which might hinder the claimed optimality of such algorithms when they...
In this paper, we evaluate the performance of association rule mining algorithms in-terms of execution times and memory usage using the CPU profiler of Java VisualVM. Mainly, and according to a previous work, we studied the performance of two main association rules algorithms which exhibits best results interms of execution time and memory usage: Binary-Based algorithm, and Eclat algorithm. The results...
Mining the frequent itemsets are still one of the data mining research challenges. Frequent itemsets generation produce extremely large numbers of generated itemsets that make the algorithms inefficient. The reason is that the most traditional approaches adopt an iterative strategy to discover the itemsets, that's require very large process. Furthermore, the present mining algorithms cannot perform...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.