An Efficient Parallel Computing Method for the Processing of Large Sensed Data

An Efficient Parallel Computing Method for the Processing of Large Sensed Data

In recent years we witness the advent of the Internet of Things and the wide deployment of sensors in many applications for collecting and aggregating data. Efficient techniques are required to analyze these massive data for supporting intelligent decisions making. Partial differential problems which involve large data are the most common in the engineering and scientific research. For simulati...

An Efficient Resource Allocation for Processing Healthcare Data in the Cloud Computing Environment

Nowadays, processing large-media healthcare data in the cloud has become an effective way of satisfying the medical userschr('39') QoS (quality of service) demands. Providing healthcare for the community is a complex activity that relies heavily on information processing. Such processing can be very costly for organizations. However, processing healthcare data in cloud has become an effective s...

nano-rods zno as an efficient catalyst for the synthesis of chromene phosphonates, direct amidation and formylation of amines

چکیده ندارد.

Efficient Data Mining with Evolutionary Algorithms for Cloud Computing Application

With the rapid development of the internet, the amount of information and data which are produced, are extremely massive. Hence, client will be confused with huge amount of data, and it is difficult to understand which ones are useful. Data mining can overcome this problem. While data mining is using on cloud computing, it is reducing time of processing, energy usage and costs. As the speed of ...

An Elementary Method for Computing the Kostka Coefficients