Advances in intelligent computing and communication : proceedings of ICAC 2020
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書誌事項
Advances in intelligent computing and communication : proceedings of ICAC 2020
（Lecture notes in networks and systems / series editor, Janusz Kacprzyk, v. 202）
Springer, c2021
- : [pbk.]
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注記
"... the Third International Conference on Intelligent Computing and Communication (ICAC-2020) at the campus of Institute of Technical Education and Research (Faculty of Engineering and Technology), Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, from November, 25 to 26, 2020."--Pref
Includes bibliographical references and index
内容説明・目次
内容説明
This book presents high-quality research papers presented at the 3rd International Conference on Intelligent Computing and Advances in Communication (ICAC 2020) organized by Siksha 'O' Anusandhan Deemed to be University, Bhubaneswar, Odisha, India, in November 2020. This book brings out the new advances and research results in the fields of theoretical, experimental, and applied signal and image processing, soft computing, networking, and antenna research. Moreover, it provides a comprehensive and systematic reference on the range of alternative conversion processes and technologies.
目次
Chapter 1.Classification and Detection of Leaves using Different Image processing Techniques.- Chapter 2. Covid-19 Detection :An Approach Using X-Ray Images and Deep Learning Techniques.- Chapter 3. Covid-19 Detection :An Approach Using X-Ray Images and Deep Learning Techniques.- Chapter 4. Realization of a vehicular robotic system using the principle of photonics.- Chapter 5. A Modified Hybrid Planar Antenna for Cognitive Radio Application.- Chapter 6. Detection of Broken and Good Medical Tablets Using Various Machine Learning Models.- Chapter 7. Lungs Nodule Prediction using Convolutional Neural Network and K-Nearest Neighbor.- Chapter 8. Quantitative Structure Activity Relationships (QSARs) Study for KCNQ Genes(Kv7) and Drug discovery.- Chapter 9. Apple fruit disease detection and classification using k-means clustering method.- Chapter 10. A Detailed Review of the Optimal Distributed Generation Placement in Smart Power Distribution Systems.
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