Very urgent!
I have done writing this paper which is a scholarly paper, but I want to add more relevant content to the paper from the topics inside it, so the paper can be longer. It’s IEEE style. I want you to add about two more pages ( 4 columns ).
First, read the paper, then add the relevant content and information.
Need discussion main post 500
Question:
The control of the serialization of memory management is difficult in a “Virtual Memory” and especially when “Virtual Machines” are included. Discuss how an operating system manages “computer memory in both single and multiple OS instances”. Add discussions about how some of the problems have been addressing including respective advantages and disadvantages.
When looking for data structure projects, you want to encounter distinct problems being solved with creative approaches. One such unique research question concerns the average case insertion time for binary heap data structures. According to some online sources, it is constant time, while others imply that it is log(n) time. But Bollobas and Simon give a numerically-backed answer in their paper entitled, “Repeated random insertion into a priority queue.” First, they assume a scenario where you want to insert n elements into an empty heap. There can be ‘n!’ possible orders for the same. Then, they adopt the average cost approach to prove that the insertion time is bound by a constant of 1.7645. 5. Optimal treaps with priority-chang
1. 500 words and ref
I. Which case study in the paper was most interesting to you and why?
II. Do you think that ERM is necessary in the contemporary organization and why?
2. 500 words and ref
What is the relationship between Naïve Bayes and Bayesian networks? What is the process of developing a Bayesian networks model?
3. 500 words and ref
List and briefly describe the nine-step process in con-ducting a neural network project.
Choose a manufacturing industry (e.g. auto, steel, or book making) and apply data mining to an individual step in the process. Also address decision tree classifiers as part of the research paper.
Requirements:
Must have 4 pages double spaced Research Paper excluding Title and Reference page.
Use proper APA formatting. No Plagiarism. Proper Citations.
Prepare a PowerPoint Presentation based on the Research Paper.
Do you believe Artificial Intelligence or Machine Learning is the future of cybersecurity? Explain why or why not.
Information security uses administrative, technical (logical), and physical controls to mitigate risks related to organization’s assets. A policy is an administrative control.
If no policy exist in the IT department, research shows that employees will default to a defacto policy. A defacto policy means a policy that is in effect ,but not formally recognize. To stop this for happening, It is important for students to understand how to take the cloud best practices discussed throughout this course and use them to create a cloud security policy. Cloud security fundamentals and mechanisms is a huge part of the cloud security policy.
For this assignment, read the attached article: “Our Journey to the Cloud”. Use the SANS email policy template SANS email policy template – Alternative Formats
to create a policy for the cloud. Please note, the SANS policy is a template you can use to structure your policy. If you are having trouble with the links above, these supporting documents can be found in the Cloud Policy Assignment Documents folder.
1. Explain Angular core concepts (forms, guards, interceptors, routing, component communication, etc.)
2. Walkthrough the approach implementing common UI components like forms, validations, rest API invocations using Angular framework.
3. Share your experience with reactive programming (RxJS), observables, subjects, etc.
4. Summarize your hands-on experience with Bootstrap / CSS experience
5. Share your experience creating reusable modules/libraries using Angular
6. Share your experience with advanced CSS concepts like flex layout, bootstrap themes, preprocessors like SCSS, Less etc.
7. As a Software Frontend Engineer, you will be a key player of the development team that has complete ownership from cradle to grave for the assigned application suite.
· Hands-on development in Client-side technologies (JavaScript, TypeScript, Angular, HTML, CSS, Open Source Java, Spring Boot, MySQL) working in a test-driven development environment
· Partner with the development team to map technical requirements into architecture and technical design tasks, plan releases and deliver on commitments
· Participate in design and code reviews across the team to establish best practices
· Inspire and mentor team members
(1) FULL-LENGTH PROJECT
In response to the COVID-19 pandemic, the White House and a coalition of leading research groups have prepared the COVID-19 Open Research Dataset (CORD-19). CORD-19 is a resource of over 44,000 scholarly articles, including over 29,000 with full text, about COVID-19, SARS-CoV-2, and related coronaviruses. This freely available dataset is provided to the global research community to apply recent advances in natural language processing and other AI techniques to generate new insights in support of the ongoing fight against this infectious disease. There is a growing urgency for these approaches because of the rapid acceleration in new coronavirus literature, making it difficult for the medical research community to keep up.
We are issuing a call to action to the world’s artificial intelligence experts to develop text and data mining tools that can help the medical community develop answers to high priority scientific questions. The CORD-19 dataset represents the most extensive machine-readable coronavirus literature collection available for data mining to date. This allows the worldwide AI research community the opportunity to apply text and data mining approaches to find answers to questions within, and connect insights across, this content in support of the ongoing COVID-19 response efforts worldwide. There is a growing urgency for these approaches because of the rapid increase in coronavirus literature, making it difficult for the medical community to keep up.
A list of our initial key questions can be found under the Tasks section of this dataset. These key scientific questions are drawn from the NASEM’s SCIED (National Academies of Sciences, Engineering, and Medicine’s Standing Committee on Emerging Infectious Diseases and 21st Century Health Threats) research topics and the World Health Organization’s R&D Blueprint for COVID-19.
Many of these questions are suitable for text mining, and we encourage researchers to develop text mining tools to provide insights into these questions.
In this project, you will follow your own interests to create a portfolio worthy single-frame viz or multi-frame data story that will be shared in your presentation. You will use all the skills taught in this course to complete this project step-by-step, with guidance from your instructors along the way. You will first create a project proposal to identify your goals for the project, including the question you wish to answer or explore with data. You will then find data that will provide the information you are seeking. You will then import that data into Tableau and prepare it for analysis. Next, you will create a dashboard that will allow you to explore the data in-depth and identify meaningful insights. You will then give structure to your data story by writing the story arc in narrative form. Finally, you will consult your design checklist to craft the final viz or data story in Tableau. This is your opportunity to show the world what you’re capable of – so think big, and have confidence in your skills!
Kaggle Website:
https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge
Assignment Length (word count): at least 15 pages.
References: At least 10 peer-reviewed, scholarly journal references.
