Proceedings of 4th International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications ICMISC 2023 /
The book is a collection of the best-selected research papers presented at the International Conference on Recent Trends in Machine Learning, IoT, Smart Cities, and Applications (ICMISC 2023) held in September 2023 at the CMR Institute of Technology, Hyderabad, Telangana, India. This book will conta...
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| Autor kompanije: | |
|---|---|
| Daljnji autori: | , |
| Format: | Elektronički e-knjiga |
| Jezik: | engleski |
| Izdano: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2024.
|
| Izdanje: | 1st ed. 2024. |
| Serija: | Lecture Notes in Networks and Systems,
873 |
| Teme: | |
| Online pristup: | https://doi.org/10.1007/978-981-99-9442-7 |
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| 245 | 1 | 0 | |a Proceedings of 4th International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications |h [electronic resource] : |b ICMISC 2023 / |c edited by Vinit Kumar Gunjan, Jacek M. Zurada. |
| 250 | |a 1st ed. 2024. | ||
| 264 | 1 | |a Singapore : |b Springer Nature Singapore : |b Imprint: Springer, |c 2024. | |
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| 490 | 1 | |a Lecture Notes in Networks and Systems, |x 2367-3389 ; |v 873 | |
| 505 | 0 | |a Defect Detection in Metal Surfaces using Computer Vision -- Liver Cirrhosis Prediction using Machine Learning Classification Techniques -- A Recent Survey on Risk Factors Affecting the Blood Pressure in India -- Rock Segmentation of Real Martian Scenes using Dual Attention Mechanism-Based U-Net -- An Efficient approach of True Random Number Generation using A Data encryption method in Security & cryptography algorithm -- Background Subtraction for Detecting Moving Objects and Implementing On FPGA Board -- Crime Pattern Identification and Prediction using Machine Learning -- Rash Driving Detection And Alerting System -- Logistic based OVA-CNN Model for Alzheimer's Disease Detection and Prediction using MR Images -- 3D Avatar Reconstruction using Multi-Level Pixel-Aligned Implicit Function -- Text-to-Image Generation Model with DNN Architecture and Computer Vision for Embedded Devices using Quantization Technique -- One Shot Learning for Archaeological Site Data Using Deep Neural Network on Embedded Systems -- Indian Music Instrument Classification using Deep Learning on Embedded Platforms -- Innovative Design of a Solar-Powered Wireless Soil Moisture Sensor for Maximizing the Efficiency of IoT based Systems -- Image Inpainting on Archeological Dataset using UNet Architecture on Embedded Platform -- A Deep Learning Model-Based Approach for Brain Tumor Detection in Low Brightness and Low Contrast MRI -- Implementation of IoT and Data analytics in smart agricultural system -- Implementing Service-Oriented game-theoretic Security Scheme for IoV Networks in Self-Driving Cars -- Framework for 2D MRI Brain Tumour Segmentation Employing Znet-Based Deep Learning -- Multiple-Emotion Recognition in Gujarati Language using Natural Language Processing -- Automation of Mechanical Ventilation for Optimal Pressure Predictions using Machine Learning -- Rhythm Net: A Novel Convolution Neural Network for Multi-Class ECG Classification -- Designing of GUI based Home Automation System using Arduino and MATLAB -- Recent Trends of Information Retrieval System: Review based on IR models and applications -- Capsule Network Approach for Image Classification -- Empowering Fast-Moving Consumer Goods Supply Chain Leveraging Blockchain -- DeEffNet: A CNN model for optimizing the Image Classification of Comorbid Patients -- A Comparative Study of Approaches to Short Text Document Clustering -- Secure Image Retrieval in an Untrusted Cloud Environment -- Automated Pest Detection using Image Classification. | |
| 520 | |a The book is a collection of the best-selected research papers presented at the International Conference on Recent Trends in Machine Learning, IoT, Smart Cities, and Applications (ICMISC 2023) held in September 2023 at the CMR Institute of Technology, Hyderabad, Telangana, India. This book will contain articles on current trends in machine learning, the internet of things, and smart city applications, emphasizing multi-disciplinary research in the area of artificial intelligence and cyberphysical systems. The book is a great resource for scientists, research scholars, and PG students to formulate their research ideas and find future directions in these areas. Further, this book serves as a reference work to understand the latest technologies used by practice engineers across the globe. | ||
| 532 | 8 | |a Accessibility summary: This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. | |
| 532 | 8 | |a No reading system accessibility options actively disabled | |
| 532 | 8 | |a Publisher contact for further accessibility information: accessibilitysupport@springernature.com | |
| 650 | 0 | |a Internet of things. | |
| 650 | 0 | |a Wireless communication systems. | |
| 650 | 0 | |a Mobile communication systems. | |
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Data protection. | |
| 650 | 1 | 4 | |a Internet of Things. |
| 650 | 2 | 4 | |a Wireless and Mobile Communication. |
| 650 | 2 | 4 | |a Machine Learning. |
| 650 | 2 | 4 | |a Data and Information Security. |
| 700 | 1 | |a Gunjan, Vinit Kumar. |e editor. |0 (orcid)0000-0002-3222-4186 |1 https://orcid.org/0000-0002-3222-4186 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Zurada, Jacek M. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
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| 776 | 0 | 8 | |i Printed edition: |z 9789819994434 |
| 830 | 0 | |a Lecture Notes in Networks and Systems, |x 2367-3389 ; |v 873 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-981-99-9442-7 |
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| 950 | |a Springer Nature Proceedings excluding Computer Science (SpringerNature-85345) | ||