Heterogenous Computational Intelligence in Internet of Things

Herausgeber: Singh, Pawan; Mishra, Pramod Kumar; Singhal, Prateek

• Broschiertes Buch

Produktbeschreibung

Despite DRL, there are still domain-specific challenges in complex wireless network virtualization requiring further study covered in this book; DNN architectures design with 5G network optimization, developing intelligent mechanism for automated management of virtual communications in SDNs, etc

Produktdetails

• Verlag: Taylor & Francis Ltd (Sales)
• Seitenzahl: 300
• Erscheinungstermin: 30. Januar 2025
• Englisch
• Abmessung: 234mm x 156mm x 17mm
• Gewicht: 445g
• ISBN-13: 9781032426396
• ISBN-10: 103242639X
• Artikelnr.: 72542947

Autorenporträt

Dr. Pawan Singh is an Associate Professor in the Department of Computer Science & Engineering, Amity School of Engineering and Technology, Amity University Uttar Pradesh, Lucknow, India. He has completed Ph.D. degree in Computer Science from Magadh University, Gaya. He has more than fifteen years of experience in research and teaching. He has published several research articles in SCI/SCIE/Scopus journals and conferences of high repute. He has also authored various books. He has various National and international patents and some are granted. He holds contributions in IEEE, Elsevier, etc. repute journals. He is also a reviewer in various reputed journals. His current areas of interest include Computer Networks, Parallel Processing and Internet of Things. Mr. Prateek Singhal is an Assistant Professor in the Department of Computer Engineering & Applications at GLA University, Mathura, Uttar Pradesh. He is pursuing a Ph.D. degree in Medical Imaging from the Maharishi University of Information Technology, Lucknow, India. He has more than four years of experience in research and teaching. He has published several research articles in SCI/SCIE/Scopus journals and conferences of high repute. He has also authored a book on Cloud Computing. He has various National and international patents and some are granted. He holds contributions to IEEE, Elsevier, etc. reputed journals. He is on the team of the research advisory member in his present institute. His current areas of interest include Image Processing, Medical Imaging, Human Computation Interface, Neuro-Computing, Internet of Things. Dr. Pramod Kumar Mishra is working as a Head and Professor in the Department of Computer Science & Engineering at Banaras Hindu University, Varanasi. He has completed Ph.D. degree on A study of efficient shortest path algorithms for serial and parallel computers from APS University, Rewa, India. He has more than Thirty years of experience in research and teaching. He has received various Awards and fellowships from the good repute organizations. He has also received various grants from national and international government bodies/Agency. He has published several research articles in SCI/SCIE/Scopus journals and conferences of high repute. He has also authored a book on Cloud Computing. He has various National and international patents and some are granted. He holds contributions in IEEE, Elsevier, etc. reputed journal. He is in the team of the research advisory member in his present institute. His current areas of interest include AI and Machine Learning Algorithms, Data Analytics, Parallel Computing, High-Performance Clusters, Algorithm Engineering (AE), High-Performance AE, Parallel Computation, and Computational complexity. Dr. Avimanyou Vatsa is working as an assistant professor in the department of computer science, Fairleigh Dickinson University - Teaneck. He also worked as an assistant professor at West Texas A&M University, a teaching & research assistant at the University of Missouri, Columbia, and an assistant professor for more than ten years in several engineering colleges and a university in India. Also, he worked as a software engineer in the industry. He always motivates and inspires students with a statement: "Nothing is impossible, just put your hard work and sincere effort persistently toward your goal.

Inhaltsangabe

1. Human Interacted Computation System - A State of the Art in Music. 2.
Heterogeneous Computing of Multi Agent Deep Reinforcement Learning on Edge
Devices for Internet of Things. 3. Spectral Analysis of Speech Signal for
Psychiatric Health Assessment and Prediction -Optimized using various
kernels of Support Vector Classifiers. 4. A Fuzzy based Predictive approach
for Soil Classification of Agricultural Land for the efficient cultivation
and harvesting. 5. Analysis of Smart Agriculture Systems Using IOT. 6. AI
enabled Internet of Medical Things in Healthcare. 7. Time Division
Multiplexer Design for Internet of Things (IoT) Networks by using Photonic
Hetero-structures. 8. Comparative Evaluation on Various Machine Learning
Strategies Based on Identification of DDoS Attacks in IoT Environment. 9.
Simulation of Scheduling & Load Balancing Algorithms for Distributed Data
Center. 10. Facts Analysis to Handle the COVID-19 Pandemic Situation in an
Efficient Way. 11. Experimental and Computational Investigation of Acoustic
Erosion in C2H5OH. 12. A Novel Facial Emotion Recognition Technique using
Convolution Neural Network. 13. Using machine learning to detect
abnormalities on Modbus/TCP networks. 14. Face Recognition System using CNN
Architecture & its Model with its detection technique using Machine
learning. 15. Network Security Configuration for CampusLAN Using CPT. 16.
Advancements in IoT Based Smart Environmental Systems. 17. An Application
of Convolutional Neural Networks in Recognition of Handwritten Digit. 18.
Use of Artificial Intelligence and GIS Technologies in Healthcare Services.
19. Digital and Smart Agriculture: Components, Challenges, and Limitations.