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khang ai centric modeling analytics concepts technologies app 2023

Type:: E-books
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Size:: 30.5 MB
Uploaded On:: Nov. 12, 2023, 2:15 p.m.
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Info Hash:: 17CE971E0285A8F024C16FFBB3B17DCDA84B47DF

Textbook in PDF format This book shares new methodologies, technologies, and practices for resolving issues associated with leveraging AI-centric modeling, data analytics, Machine Learning-aided models, Internet of Things-driven applications, and cybersecurity techniques in the era of Industrial Revolution 4.0. AI-Centric Modeling and Analytics: Concepts, Technologies, and Applications focuses on how to implement solutions using models and techniques to gain insights, predict outcomes, and make informed decisions. This book presents advanced AI-centric modeling and analysis techniques that facilitate data analytics and learning in various applications. It offers fundamental concepts of advanced techniques, technologies, and tools along with the concept of real-time analysis systems. It also includes AI-centric approaches for the overall innovation, development, and implementation of business development and management systems along with a discussion of AI-centric robotic process automation systems that are useful in many government and private industries. Machine Learning (ML) models and Deep Learning frameworks are needed to simulate large datasets and explain why clients arrive at these decisions. To make the work of AI-centric modeling and predictive analysis even more transparent, visualization graphs of business scenarios are introduced in this book. We also demonstrate how a variety of technologies can be used to integrate data fabric solutions and how intelligent applications can be used to enhance the effect of combining the six fields of AI-centric modeling, data analytics, ML-aided models, IoT-driven applications, cybersecurity techniques, and cloud-enabled platforms for developing smart business systems in the era of AI and Data Science. AI is not only a buzzword or any special feature of Computer Science; it collaborates with other computer science areas, such as ML, Deep Learning, Big Data analytics, and natural language processing (NLP). Artificial Intelligence uses multiple programming languages and supports multiple tools to record data as well as to build an algorithm to create a model based on data. AI has three phases: assisted intelligence, where insights of data are shared with a human being to make decisions; augmented intelligence, where ML capabilities are utilized to generate the outcome; and full automation, where inputs, processes, outputs, and decision-making are taken care of by AI Natural language processing (NLP) is an amalgamation of both technology and language. Technology encompasses computer science and artificial intelligence (AI). Language covers both text and speech. Over the generations, humans have been interacting and communicating with each other through language. The exchange of ideas occurs through speech or written text. In contrast, machines are programmed using low-level or high-level scripting. Natural language processing is a tool that enables a machine to comprehend text and language. It is used to apply Machine Learning algorithms to both text and speech. At this conjuncture, it can be stated that NLP is a subdomain of linguistics, computer science and AI. Preface 1 Artificial Intelligence-Based Model and Applications in Business Decision-Making 2 Exploration of Machine Learning Models for Business Ecosystem The Role of Big Data and Data Analysis Tools in Business and Production 4 Revolutionized Teaching by Incorporating Artificial Intelligence Chatbot for Higher Education Ecosystem 5 Application of Artificial Intelligence in AgroWeb 6 Natural Language Processing: A Study of State of the Art 7 Application of Artificial Intelligence in Healthcare System Management with Dynamic Modeling of COVID-19 Diagnosis 8 Breast Cancer Prediction Using Voting Classifier Model 9 Privacy Protection for Internet of Medical Things Data Using Effective Outsourced Support Vector Machine Approach 10 Robotics in Real-Time Applications Using Bayesian Hyper-Tuned Artificial Neural Network 11 Quantitative Study on Variation of Glaucoma Eye Images Using Various EfficientNetV2 Models 13 Hybrid Particle Swarm Optimization with Random Forest Algorithm Used in Job Scheduling to Improve Business and Production 14 Robotic Process Automation Applications in Data Management 15 Artificial Intelligence-Enabled Bibliometric Analysis in Tourism and Hospitality Using Biblioshiny and VOSviewer Software 16 Data-Centric Predictive Analytics for Solving Environmental Problems 17 Phishing Attack and Defense: An Exploratory Data Analytics of Uniform Resource Locators f wogbade, and Saminu Akintunde 18 Analysis of Deep Learning-Based Approaches for Spam Bots and Cyberbullying Detection in Online Social Networks

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khang ai centric modeling analytics concepts technologies app 2023

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