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 This paper provides an overview of the current and near-future applications of Artificial Intelligence (AI) in Medicine and Health Care and presents a classification according to their ethical and
Abstract Purpose The purpose of this paper is to identify the most popular techniques used to rank a web page highly on Google (Search Engine Optimization). Design/methodology/approach The paper presents
Analysing Google rankings through search engine optimization data Read More »
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 Internet of Things (IoT) is the new emerging technology. With the rapid developments in this technology, in near future, IoT applications are going to produce tremendous amount of data.
SQL & NoSQL Database Study for Internet of Things Read More »
ABSTRACT In this Paper, a Comparative Study of the Google Search Engine Optimization Algorithms i.e. Panda and Penguin are done. Panda is a Content-Based Algorithm and the Penguin is the
Comparative Analysis of Google Panda and Penguin SEO Algorithms on Blogs Read More »
Abstract Over one billion people in the world suffer from some form of disability. Nevertheless, according to the World Health Organization, people with disabilities are particularly vulnerable to deficiencies in
Socially Assistive Robots for Older Adults and People with Autism: An Overview Read More »
ABSTRACT MLaaS (ML-as-a-Service) offerings by cloud computing platforms are becoming increasingly popular. Hosting pre-trained machine learning models in the cloud enables elastic scalability as the demand grows. But providing low
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 »
