Bøger af Victor Chang

This Springer book provides a perfect platform to submit chapters that discuss the prospective developments and innovative ideas in artificial intelligence and machine learning techniques in the diagnosis of COVID-19.COVID-19 is a huge challenge to humanity and the medical sciences. So far as of today, we have been unable to find a medical solution (Vaccine). However, globally, we are still managing the use of technology for our work, communications, analytics, and predictions with the use of advancement in data science, communication technologies (5G & Internet), and AI. Therefore, we might be able to continue and live safely with the use of research in advancements in data science, AI, machine learning, mobile apps, etc., until we can find a medical solution such as a vaccine.We have selected eleven chapters after the vigorous review process. Each chapter has demonstrated the research contributions and research novelty. Each group of authors must fulfill strict requirements.

This book concentrates on Android Application development. An Android application will be developed for Parmesan House Takeaway Food Company, which will enable their customers to make orders through the app. Within the documentation, information will be included about the app¿s features, methodologies used in the development, hardware, software, limitations, usability issues, designs, and other aspects of the project. Customers can purchase their food orders from the comfort of their homes using simple interfaces. These benefits have supported restaurants to increase their profit and become successful. Applications developed using Android are written in the programming language Java.The importance of Android Applications will be presented throughout the book to state how vital it is in today¿s world. Additionally, the importance of businesses using Android apps to increase their performance will be detailed. Through each chapter of the book, different aspects of the project will be discussed and presented.

There is new material regarding neo4j algorithm questions posed in this report as well as where we did our due diligence research to resolve them. These results often provide detail included enquiries, which were recorded at the conclusion of the monitoring period. Initially, a literature review supported the development of an initial data modeling, which was further provided as experimental analysis. By using NEO4J Graph Database, graph analytics can provide useful analysis.