Cognitive Engineering for Next Generation Computing

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Armitage
Artificial Intelligence and Cognitive science
Big data
Category=UYQ
Causal Induction
Cisco Cognitive Threat Analytics
Cognitive Analytics
Cognitive Applications
Cognitive computing
Cognitive Radios
Corpora
Cyber Physical Systems
Cybernetics
Data Visualization
Deep Learning
DeepMind
DeepQA Architecture
Embedded system and applications
Energy efficient routing algorithms
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eq_computing
eq_isMigrated=1
eq_nobargain
eq_non-fiction
Expert System
Expert systems
Fraud Detection
Future communication systems
Hashcat
Human Intelligence
Hypothesis Generation
Hypothesis Scoring
IBM Watson
IBM watson cognitive analytics
Industrial Internet of Things
Industrial Robotics
Industry 4.0
Internet of Things
Jeopardy
Light weight cryptography
Machine Learning
Mechatronics
Microsoft azure cognitive model
Microsoft Cognitive Services
Models for knowledge representation
Natural language modeling
Neurosynaptic Architecture
Ontologies
Phonology
Pragmatics
Predictive Analytics
Probabilistic Reasoning
Quantum Architecture
Security
Sensor design
Single Board Computers
Smart City
Smart computing systems
Smart Environments
Smart Governance
Smart Health
Smart Health care
Smart Home
Social Engineering Toolkit
System design
Trust worthy algorithms
Wifite
Wireless Communication
Wireless Sensor networks
Wireshark

Product details

  • ISBN 9781119711087
  • Weight: 454g
  • Dimensions: 10 x 10mm
  • Publication Date: 13 Apr 2021
  • Publisher: John Wiley & Sons Inc
  • Publication City/Country: US
  • Product Form: Hardback
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The cognitive approach to the IoT provides connectivity to everyone and everything since IoT connected devices are known to increase rapidly. When the IoT is integrated with cognitive technology, performance is improved, and smart intelligence is obtained. Discussed in this book are different types of datasets with structured content based on cognitive systems. The IoT gathers the information from the real time datasets through the internet, where the IoT network connects with multiple devices.

This book mainly concentrates on providing the best solutions to existing real-time issues in the cognitive domain. Healthcare-based, cloud-based and smart transportation-based applications in the cognitive domain are addressed. The data integrity and security aspects of the cognitive computing main are also thoroughly discussed along with validated results.

Kolla Bhanu Prakash is Professor and Research Group Head for Artificial Intelligence and Data Science Research Group in CSE Department, K L University, Andhra Pradesh, India. He received his MSc and MPhil in Physics from Acharya Nagarjuna University and his ME and PhD in Computer Science & Engineering from Sathyabama University, Chennai, India. Dr. Prakash has 14+ years of experience working in academia, research, and teaching. He has published multiple SCI journal articles as well as been granted 5 patents.

G. R. Kanagachidambaresan received his BE degree in Electrical and Electronics Engineering from Anna University in 2010; ME in Pervasive Computing Technologies in Anna University in 2012, and his PhD in Anna University Chennai in 2017. He is currently an associate professor, Department of CSE, Veltech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology.

Srikanth Vemuru is a professor in the Department of Computer Science and Engineering, K L University. He received his PhD degree from Acharya Nagarjuna University (ANU) in 2011. He has more than 17 years of academic experience and in the software industry, and has published more than over 60 research papers in SCI journals and flagship conferences.

Vamsidhar Enireddy is an associate professor in CSE Department, K L University, Andhra Pradesh, India. He received his PhD from JNTU Kakinada, India. Dr. Enireddy has 17+years of experience working in academia, research, and teaching. He has authored over 28 research papers in various national and international journals and conferences as well as been granted 3 patents and 1 patent filed.