Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches

• Main Author: Devi, K. Gayathri
• Format: eBook
• Language: English
• Published: Milton CRC Press 2021; Taylor & Francis Group
• Edition: 1
• Series: Artificial Intelligence (AI): Elementary to Advanced Practices
• Subjects: Artificial Intelligence; Artificial intelligence trends; Artificial intelligence-Industrial applications; Autonomous Vehicles; Biomedical images; Communication Networks & Systems; Computer Integrated Manufacturing (CIM); Computer Vision; COMPUTERSCIENCEnetBASE; Data analytics; Data Preparation & Mining; Deep learning; Diagnosis; ENGnetBASE; INDUSTRIALENGINEERINGnetBASE; Industry 4.0; INFORMATIONSCIENCEnetBASE; Intelligent Systems; Internet of Things; IoT; Machine learning; Machine Learning - Design; Manufacturing Engineering; Mathematics & Statistics for Engineers; Neural Networks; Operations Research; SCI-TECHnetBASE; STMnetBASE; Supercomputing; DEMATEL Method; Fuzzy Set; Universal Report; Convolution Layer; Membership Function; Machine Learning Algorithms; ANFIS; Max Pooling Layer; Auxiliary Lymph Nodes; RBF Kernel; Naive Bayes Algorithm; Softmax Layer; Convolutional Layer; Recurrent Layer; ANFIS Architecture; Internal Mammary Lymph Nodes; Fuzzy MCDM Method; Spectrum Sensing; Business Process; Fundus Images; Neuro Fuzzy Systems; Power Consumption; ANFIS Controller; MCDM Method; Diabetic Retinopathy
• ISBN: 0367417278; 9780367549015; 0367549018; 9780367417277; 9781000179538; 1000179532
• DOI: 10.1201/9780367854737

Artificial Intelligence (AI) when incorporated with machine learning and deep learning algorithms can have a wide variety of applications today. This book focuses on the implementation of various elementary and advanced approaches in AI that can be used in various domains to solve real-time decision-making problems. The book focuses on concepts and techniques used to run tasks in an automated manner. It discusses computational intelligence in the detection and diagnosis of clinical and biomedical images, it covers the automation of a system through machine learning and deep learning approaches, presents data analytics and mining for decision support applications, includes case-based reasoning, natural language processing, computer vision, and AI approaches in real-time applications. Academic scientists, researchers and students in the various domains of computer science engineering, electronics and communication engineering, information technology, industrial engineers, biomedical engineers, and management will find this book useful. By the end of this book, you will have understood the fundamentals of AI and various case studies that will develop your adaptive thinking to solve real time AI problems.