Cognitive Engineering for Next Generation Computing (eBook)
John Wiley & Sons (Verlag)
978-1-119-71128-5 (ISBN)
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.
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.
| Erscheint lt. Verlag | 19.3.2021 |
|---|---|
| Sprache | englisch |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Schlagworte | Allg. Betriebssysteme • Armitage • Artificial Intelligence • Artificial Intelligence and Cognitive science • Big Data • Causal Induction • Cisco Cognitive Threat Analytics • Cognitive analytics • Cognitive Applications • cognitive computing • Cognitive Radios • Computer-Ratgeber • Computer Science • Corpora • Cybernetics • Cyber Physical Systems • Data Visualization • Deep learning • DeepMind • DeepQA Architecture • Electrical & Electronics Engineering • Elektrotechnik u. Elektronik • Embedded system and applications • End-User Computing • Energy efficient routing algorithms • 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 • Informatik • internet of things • jeopardy • Künstliche Intelligenz • light weight cryptography • machine learning • Mechatronics • Microsoft azure cognitive model • Microsoft Cognitive Services • Models for knowledge representation • Natural language modeling • Neurosynaptic Architecture • Ontologies • Operating Systems (General) • Phonology • Pragmatics • predictive analytics • Probabilistic Reasoning • Quantencomputer • Quantum Architecture • Quantum Computing • 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 |
| ISBN-10 | 1-119-71128-2 / 1119711282 |
| ISBN-13 | 978-1-119-71128-5 / 9781119711285 |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
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