UID:
almahu_9949083913602882
Umfang:
XV, 653 p. 386 illus., 300 illus. in color.
,
online resource.
Ausgabe:
1st ed. 2021.
ISBN:
9789811610486
Serie:
Algorithms for Intelligent Systems,
Inhalt:
This book presents high-quality research papers presented at the International Conference on Soft Computing for Intelligent Systems (SCIS 2020), held during 18-20 December 2020 at University Institute of Engineering and Technology, Kurukshetra University, Kurukshetra, Haryana, India. The book encompasses all branches of artificial intelligence, computational sciences and machine learning which is based on computation at some level such as AI-based Internet of things, sensor networks, robotics, intelligent diabetic retinopathy, intelligent cancer genes analysis using computer vision, evolutionary algorithms, fuzzy systems, medical automatic identification intelligence system and applications in agriculture, health care, smart grid and instrumentation systems. The book is helpful for educators, researchers and developers working in the area of recent advances and upcoming technologies utilizing computational sciences in signal processing, imaging, computing, instrumentation, artificial intelligence and their applications. .
Anmerkung:
Object Detection from the Seabed Imaging Data Using Soft Computing Techniques -- Enhanced Voltage Regulation of Sixteen Bus Micro Grid System Using Sliding Mode Controller -- Comparitive Review of MAC Architectures -- Proposal of ASLR for Voice Disorders -- Methodological Analysis with Informative Science in Bioinformatics -- Effect of Laser Pulse in Modified TPL GN-Thermoelastic Transversely Isotropic Euler Bernoulli Nanobeam -- Designing Techniques for 4G LTE Networks With QoS-Aware RD Network Based on Radio Resource Organization Approach -- Enhancing Software Quality Assurance by Using Knowledge Discovery and Bug Prediction Techniques -- Design and Analysis of thin Micro-Mechanical Suspended Dielectric RF MEMS Switch for 5G and IoT Applications -- Design and Development of Stemmer of Dogri Using Unsupervised Learning -- Credit Card Fraud Detection Techniques: A Review -- An Integrated Approach of Conventional and Deep Learning Method for Underwater Image Enhancement -- A Survey on Plant Disease Detection Methods For Building a Robust Plant Disease Detectıon System -- Troubleshooting Fluctuations in Power System & Network Harmonic Analysis.
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9789811610479
Weitere Ausg.:
Printed edition: ISBN 9789811610493
Weitere Ausg.:
Printed edition: ISBN 9789811610509
Sprache:
Englisch
DOI:
10.1007/978-981-16-1048-6
URL:
https://doi.org/10.1007/978-981-16-1048-6
URL:
Volltext
(URL des Erstveröffentlichers)
