Research on E-Learning platform in this COVID-19 era.

Q: Compare and contrast the SECI paradigm with alternative methods to knowledge management.

A: The "SECI" paradigm will be compared to various knowledge management approaches: Go here to learn…

Q: How to relate log data to machine learning?

A: Log analysis involves large volume of data. There are two types of machine learning…

Q: Presentation -2 is about your demonstration/simulation of a Neural Network software. Your…

A: Here we have given a demonstration on neural network software and proposed an application over it.

Q: I'm looking for a detailed explanation of the applications of deep learning in the Internet of…

A: The applications of deep learning in the Internet of Things will be explained :

Q: Write one pragraph of Current situation in Computing Department Knowledge Management System

A: Any IT system that saves and retrieves knowledge to enhance comprehension, teamwork, and process…

Q: What use do the different Office programmes from Microsoft serve in a hybrid learning environment?

A: A hybrid environment can help as you migrate users or information to Microsoft server, or you can…

Q: Explain the pros and downsides of taking use of online learning possibilities.

A: This question agues about the pros and downsides of taking use of online learning possibilities.

Q: ck of Interaction b.

A: This is clearly the best advantage of on-line learning; as long as you own a pc and have a web…

Q: Defintion: What are knowledge-based systems?

A: Answer:- Several complicated applications employ knowledge-based systems as a programming construct.…

Q: is compared to other knowledge m

A: The "SECI" worldview will be contrasted with different knowledge management approaches: Go here to…

Q: 3) What is Machine Learning's 'Overfitting'?

A: Intro Overfitting happens when our machine learning model attempts to cover all or more than the…

Q: What use do the different Office programmes from Microsoft serve in a hybr learning environment?

A: According to the query, when you type incorrectly in Microsoft Word, your error is immediately…

Q: ng environments?

A: Virtual Learning Environment A Virtual Learning Environment (VLE) is an integrated distance…

Q: Q2. Describe various application: areas of expert system in detail.

A: Given: Describe various application areas of expert systems in detail.

Q: If you can, give an instance of how virtual servers are used in a learning environment.

A: Electronic server: In contrast to a dedicated servers, a virtual server collaborates with other…

Q: Publish your machine-learning model as a web service. WHY WOULD A COMPANY USE A PUBLICLY

A: Introduction: After reading this article, you will use any programming language to deploy machine…

Q: Machine learning vs deep learning

A: Machine Learning: Machine learning is a subset of Artificial Intelligence (AI) applications that…

Q: An in-depth description of how deep learning is used in the Internet of Things will benefit me much.

A: Answer:

Q: What are the benefits and drawbacks of using the logical representation and the semantic network…

A: let us see the answer:- Logical Representation A language having precise rules for dealing with…

Q: How is hypothesis testing used in engineering and describe connections to ther engineering learning.

A: We define hypothesis test as the formal procedures that statisticians use to test whether a…

Q: What exactly is meant by "deep learning"?

A: Deep learning: Deep learning is a machine learning approach that trains computers to learn by…

Q: Explain what the word "machine learning" means.   It is vital to identify critical characteristics…

A: The above question is answered in step 2 :-

Q: How can the training demands for an e-learning system be assessed?

A: Definition: E-learning is a method of education that relies on formalized instruction but also makes…

Q: tages that compris

A: Internet of Things (IoT) and portable communications strategies have been created lately to…

Q: What are virtual learning environments, and how do they differ from traditional classroom settings?

A: Introduction: The use of software, hardware, and networks to assist and support teaching and…

Q: Explain the Advantages and Limitations of knowledge based systems.

A: knowledge-based programs are excellent at representing many types of integration technology.…

Q: nces between sing

A: Sorry for that as per the bartleby guidelines we can solve only one question for you if you want to…

Q: In a mixed learning setting, what function does Microsoft Office play?

A: Start: According to the question, when you type incorrect spelling in Microsoft Word, the purple…

Q: The analogies and contrasts between neural networks and learning systems, as well as applications…

A: Network neutrality When a neuron develops a very basic computing unit, it belongs to the family of…

Q: Give an overview of the knowledge information system's numerous functions.

A: Functions:  Knowledge is the lifeblood of progress, and we need a knowledge information system to…

Q: Explain the benefits and drawbacks of knowledge-based systems.

A: Introduction: Knowledge-based programs thrive at portraying a wide range of integration technology.…

Q: Briefly explain machine learning and deep learning in few lines.

A:

Q: 2. Draw the level 2 data flow diagram for Blackboard Learning System

A: data flow diagram for blackboard system has been written in step2

Q: Discuss rule based knowledge based system with example.

A: A knowledge based system is a form of artificial intelligence. It aims to capture the knowledge of…

Q: uter interaction (HCI) development frameworks relate to interactive syst

A: Introduction: Below the describe the Human-computer interaction (HCI) development frameworks relate…

Q: What is the importance in using Microsoft Office applications in blended learning modality?

A: According to your question There are many ways to describe blended learning and many words are used…

Q: What specific program in the topic of "student's perception beyond of online learning during…

A: Actually these days students struggle so many problems because of COVID-19, due this pandemic all…

Q: I want a descriptive description on Applications of Deep learning in IOT

A: Actually,  Deep learning - Deep learning is a field in machine learning, in which there are…

Q: Lip-Reading Driven Deep Learning Approach for Speech Enhancement   1. Introduction: One page…

A: When noise severely lowers speech quality and intelligibility, SPEECH enhancement seeks to improve…

Q: Computer Science video calling app : zoom 1. Data model – create a model that data the system will…

A: Given: Computer Science video calling app : zoom 1. Data model – create a model that data the…

Q: Compare the SECI paradigm to other knowledge management approaches

A: The "SECI" paradigm to other knowledge management approached will be explained :

Q: What are the primary benefits of Deep learning?

A: Given: What are the primary benefits of Deep learning?

Q: How can conflict in git resolved?

A: Introduction: Git is one of the most widely used source-control systems, allowing software…

Q: :How can you do a training requirements assessment for an e-learning system?

A: Intro Companies undertake need-gap analyses to determine the skills needed for competitive success,…

Q: What do you mean by deep learning in AI?

A: Answer: Deep learning is a sort of machine learning and artificial intelligence (AI) that mimics the…

Q: As the project manager of a leading tech company, you have been asked to take charge of a new…

A: Given:

Q: How can the usability of an interactive system be demonstrated or measured? Justify your answer with…

A: SOLUTION  Usability is a measure of how well a single consumer can use a product/ design…

Q: What role do Microsoft Office applications play in a blended learning environment?

A: According to the question while you kind on wrong spelling on Microsoft word it highlights your…

System Model Approaches

The systems model approach is a process-oriented representation that emphasizes the impact or flow of information between modules. The multidisciplinary study of the use of models to design and create systems in business and IT development is known as systems model approach. It models how processes interact and what these processes do, but it does not go into detail about how these processes are implemented. Functional decomposition may be utilized to enhance the models employed in this technique, and they can be coupled to requirements models for additional system partitioning.