Abstract With renewed global interest for Artificial Intelligence (AI) methods, the past decade has seen a myriad of new programming models and tools that enable better and faster Machine Learning […]
Performance Analysis of Distributed and Scalable Deep Learning(DL) Read More »
Abstract Machine learning is known as the scientific study of various algorithms and statistics as well as models that can be used to create or perform certain tasks. These tasks
Abstract The amount of data transferred over dedicated and non-dedicated network links has been increasing much faster than the increase in the network capacity. On the other hand, the current
A Two-Phase Dynamic Throughput Optimization Model for Big Data Transfers Read More »
Abstract In this paper, we report on an architecture for a self-driving car that is based on ROS2. Self-driving cars have to take decisions based on their sensory input in
A Self-Driving Car Architecture in ROS2 Read More »
Abstract The intervention of AI technology and self-driving vehicles changed transportation systems. The current self-driving vehicles demand reliable and accurate information from various functional modules. One of the major modules
Abstract With the development and application of eye-tracking technology, mobile eye-tracking systems have become more widely used due to their safety and portability. We combine eye-tracking systems with real-time object
Abstract Currently, data analysis from social networks is referred to as big data analysis (BigData). The analysis of big data is difficult primarily due to the fact that all the
Algorithms for Automated Sentiment Analysis of Posts in Social Networks Read More »
Abstract E-learning systems become more popular than it has ever been. However the popularity of e-learning systems, still suffer from some problems related to the completion rate of online courses
An Ontological Model to Predict Dropout Students Using Machine Learning Techniques Read More »
Abstract Data analytics is used to obtain useful insights from small or large data set to conclude some useful information and also used for future recommendation and decision making. Predictive
PDD: Predictive Diabetes Diagnosis using Data mining Algorithms Read More »
Abstract This paper further enhances the techniques and chronological methods in order to perform the corresponding manipulation and further prediction analysis. We have acquired a real-time dataset based on the
Analyzing Product Usage Based on Twitter Users Based on Data mining Process Read More »
