Proceedings of the International Conference on Cognitive and Intelligent Computing

ICCIC 2021, Volume 1
1. Auflage 2022
ISBN: 978-981-19-2349-4
Verlag: Springer Nature Singapore

Buch, Englisch, 925 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1554 g

Reihe: Cognitive Science and Technology

This book presents original, peer-reviewed select articles from the International Conference on Cognitive & Intelligent Computing  (ICCIC – 2021), held on December 11–12, 2021, at Hyderabad, India. The proceedings has cutting edge Research outcome related to Machine learning in control applications, Soft computing, Pattern Recognition, Decision Support Systems, Text analytics and NLP, Statistical Learning, Neural Network Learning, Learning Through Fuzzy Logic, Learning Through Evolution (Evolutionary Algorithms), Reinforcement Learning, Multi-Strategy Learning, Cooperative Learning, Planning And Learning, Multi-Agent Learning, Online And Incremental Learning, Scalability Of Learning Algorithms, Inductive Learning, Inductive Logic Programming, Bayesian Networks, Support Vector Machines, Case-Based Reasoning, Multi-Agent Systems, Human–Computer Interaction, Data Mining and Knowledge Discovery, Knowledge Management and Networks, Data Intensive Computing Architecture, Medicine, Health, Bioinformatics, and Systems Biology, Industrial and Engineering Applications, Security Applications, Smart Cities, Game Playing and Problem Solving, Intelligent Virtual Environments, Economics, Business, And Forecasting Applications. Articles in the book are carefully selected  on the basis of their application orientation. The content is expected to be especially useful for Professionals, Researchers, Research students working in the area of cognitive and intelligent computing.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Kumar, Amit

Hashimoto, Takako

Ghinea, Gheorghita

Merugu, Suresh

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Angewandte Informatik
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Ambient Intelligence, RFID, Internet der Dinge

Inhaltsverzeichnis

1. An Extensive Survey of Deep learning-based Crop Yield Prediction Models for Precision Agriculture.- 2. Performance Analysis of Routing Protocols for Wireless Sensor Networks.- 3. LS-TFP: A LSTM-Based Traffic Flow Prediction Method in Intelligent Internet of Things.- 4. Prediction of Deformed Shape inIncremental Sheet Forming Processusing Feedforward Neural Network.- 5. IoT Based Environmental Parameter Monitoring Using Machine Learning Approach.

Über Autor(innen)

Amit Kumar, Ph.D., is  Forensic Scientist, Entrepreneur, Engineer, Bioinformatician, and IEEE Volunteer. In 2005, he founded the first private DNA testing company, BioAxis DNA Research Centre, in Hyderabad, India, with an American partner. He has vast experience of training 1000+ crime investigation officers and has helped process 750+ criminal and non-criminal cases by offering analytical services. He is Senior Member of the IEEE, has been Vice Chairman of the IEEE India Council and Chairman of IEEE Hyderabad Section. Amit was awarded IEEE MGA Achievement award and IEEE India council Outstanding volunteer award in 2020. He was visiting professor at SJB Research Foundation and Current chairman of IEEE Region 10 Section chapter committee.

Gheorghita Ghinea is Professor in the Computer Science Department at Brunel University, UK. He received the B.Sc. and B.Sc. (Hons) degrees in Computer Science and Mathematics, in 1993 and 1994, respectively, and the M.Sc. degree in Computer Science, in 1996, from the University of the Witwatersrand, Johannesburg, South Africa; he then received the Ph.D. degree in Computer Science from the University of Reading, UK, in 2000. His work focuses on building adaptable cross-layer end-to-end communication systems incorporating user perceptual requirements. His work has been funded by both national and international funding bodies—all of it being collaborative work with other teams and stakeholders he has been privileged to be involved with. He has been honored to supervise 24 Ph.D. students to completion and to have published over 300 high-quality research articles with them and other research collaborators. He is Member of the IEEE and the British Computer Society. 

Suresh Merugu received his Ph.D. from the Indian Institute of Technology (IIT) Roorkee. He has four years of research experience in the fields of advanced digital image processing, colorimetry, computer vision, sub-pixel classification, data mining techniques, and space sciences. He has been Associate Professor at CMR College of Engineering & Technology, Hyderabad, since 2007.

Takako Hashimoto (Vice President of the Chiba University of Commerce, CUC) graduated from Ochanomizu University, received a Ph.D. in computer science from the Graduate School of Systems and Information Engineering of University of Tsukuba in 2005, and worked for 24 years at the software R&D center of Ricoh Co. Ltd., Japan. With the company, she spearheaded the development of many software products as Technical Leader and acquired an enormous project management experience including international collaborative research handling. From April 2009, she joined as Associate Professor of CUC and became Professor of CUC. In 2015, she was Visiting Researcher at the University of California, Los Angeles. In 2016, she was Director of Institute of EconomicResearch and Vice President of CUC in 2018. Her research interests are data mining research and social media analysis, especially topic extraction from millions of tweets related to disasters such as the East Japan Great Earthquake and conducting global research on SDGs for achieving a 100% renewable energy environment as well.