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|a 1401906402
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|a 10.1007/978-981-99-4717-1
|2 doi
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| 035 |
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|a (OCoLC)1402029986
|z (OCoLC)1401906402
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|a Q334
|b .I58 2022
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|a HCDD
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|a International Conference on Intelligent Systems and Sustainable Computing
|n (2nd :
|d 2022 :
|c Hyderabad, India).
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| 245 |
1 |
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|a Intelligent systems and sustainable computing :
|b proceedings of ICISSC 2022 /
|c V. Sivakumar Reddy, V. Kamakshi Prasad, Jiacun Wang, Naga Mallikarjuna Rao Dasari, editors.
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| 246 |
3 |
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|a ICISSC 2022
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| 264 |
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|a Singapore :
|b Springer,
|c 2023.
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| 300 |
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|a 1 online resource (xvi, 571 pages) :
|b illustrations (chiefly color).
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 490 |
1 |
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|a Smart Innovation, Systems and Technologies Series ;
|v v.363
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| 520 |
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|a This book is a collection of best selected research papers presented at Second International Conference on Intelligent Systems and Sustainable Computing (ICISSC 2022), held in School of Engineering, Malla Reddy University, Hyderabad, India, during December 1617, 2022. The book covers recent research in intelligent systems, intelligent business systems, soft computing, swarm intelligence, artificial intelligence and neural networks, data mining and data warehousing, cloud computing, distributed computing, big data analytics, Internet of things (IoT), machine learning, speech processing, sustainable high-performance systems, VLSI and embedded systems, image and video processing and signal processing and communication.
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| 505 |
0 |
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|a Intro -- Conference Committee -- Preface -- Contents -- About the Editors -- 1 Air Pollution Detection and Prediction Using Moving Average in Indian Cities -- 1.1 Introduction -- 1.1.1 Major Air Pollutants -- 1.1.2 The Most Polluted Cities in India -- 1.2 Related Work -- 1.3 Proposed Model -- 1.3.1 AQI Calculation -- 1.4 Conclusion -- References -- 2 Implementation of ResNet-50 with the Skip Connection Principle in Transfer Learning Models for Lung Disease Prediction -- 2.1 Introduction -- 2.1.1 Related Works -- 2.2 Proposed Methods -- 2.2.1 Describe the Dataset
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| 505 |
8 |
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|a 2.2.2 Technique for Preprocessing -- 2.2.3 Transfer Learning -- 2.3 Result and Discussion -- 2.4 Conclusion and Future Work -- References -- 3 Performance Analysis of American Sign Language Using Wavelet Transform and CNN -- 3.1 Introduction and Background Study -- 3.2 Methodology and Implementation -- 3.2.1 Database Creation and Image Preprocessing -- 3.2.2 Segmentation and Cropping -- 3.2.3 Feature Extraction and Classification -- 3.3 Results and Discussion -- 3.3.1 Using Wavelet Transform and Feed-Forward Backpropagation Neural Network-Based Classifier -- 3.3.2 Using CNN Classifier
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| 505 |
8 |
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|a 3.4 Conclusion -- References -- 4 Image Transmission in Underwater Through Li-Fi -- 4.1 Introduction -- 4.2 Literature Survey -- 4.3 System Design and Implementation -- 4.3.1 System Design -- 4.3.2 Implementation -- 4.4 Results and Discussions -- 4.5 Conclusions and Future Scope -- 4.5.1 Conclusion -- 4.5.2 Future Scope -- References -- 5 Leaf Disease Identification with Multi-label Classification of Various Plants Using Dense CNN Model -- 5.1 Introduction -- 5.2 Literature Survey -- 5.3 Methodology -- 5.3.1 Data Collection -- 5.3.2 Preprocessing -- 5.3.3 Classification: CNN
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| 505 |
8 |
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|a 5.4 Experimental Settings -- 5.5 Model Performance -- 5.6 Experimental Results -- 5.7 Comparative Results -- 5.8 Conclusion and Future Work -- References -- 6 Enhancing the MANET AODV Forecast of a Broken Link with LBP -- 6.1 Introduction -- 6.1.1 AODV -- 6.1.2 Route Maintenance and Discovery in AODV -- 6.1.3 Link Breakage in MANET -- 6.2 Proposed Solution for Predicting Link Breakages -- 6.2.1 Proposed Architecture -- 6.2.2 Proposed Flowchart -- 6.2.3 Procedure (LBP Algorithm) -- 6.2.4 Methodology -- 6.3 Simulation, Result and Result Analysis -- 6.3.1 Simulation Scenario and Model
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| 505 |
8 |
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|a 6.3.2 Simulation Environment -- 6.3.3 Evaluation Metrics -- 6.4 Conclusion -- References -- 7 Educational Innovation Using Augmented Reality: Systematic Literature Review -- 7.1 Introduction -- 7.2 Research Method -- 7.3 Results and Discussion -- 7.3.1 Throughout the Year Publications -- 7.3.2 Multilevel Analysis -- 7.3.3 Geography-Related Contexts -- 7.4 Conclusions -- References -- 8 A Current Survey Trends on Child Safety Devices Using IoT -- 8.1 Introduction -- 8.2 Child Safety Related Factor -- 8.2.1 Location Tracking -- 8.2.2 Notification -- 8.2.3 Sensors -- 8.2.4 Video/Image Capturing
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| 588 |
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|a Description based on online resource; title from digital title page (viewed on November 06, 2023).
|
| 650 |
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0 |
|a Artificial intelligence
|v Congresses.
|
| 650 |
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0 |
|a Computer science
|v Congresses.
|
| 650 |
|
7 |
|a Artificial intelligence.
|2 fast
|0 (OCoLC)fst00817247
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| 650 |
|
7 |
|a Computer science.
|2 fast
|0 (OCoLC)fst00872451
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| 655 |
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0 |
|a Electronic books.
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| 655 |
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7 |
|a proceedings (reports)
|2 aat
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| 655 |
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7 |
|a Conference papers and proceedings.
|2 fast
|0 (OCoLC)fst01423772
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| 655 |
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7 |
|a Conference papers and proceedings.
|2 lcgft
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| 655 |
|
7 |
|a Actes de congrès.
|2 rvmgf
|
| 700 |
1 |
|
|a Reddy, V. Sivakumar,
|e editor.
|
| 700 |
1 |
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|a Prasad, V. Kamakshi,
|e editor.
|
| 700 |
1 |
|
|a Wang, Jiacun,
|d 1963-
|e editor.
|
| 700 |
1 |
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|a Dasari, Naga Mallikarjuna Rao,
|e editor.
|
| 776 |
0 |
8 |
|i Print version:
|a Reddy, V. Sivakumar
|t Intelligent Systems and Sustainable Computing
|d Singapore : Springer,c2023
|z 9789819947164
|
| 830 |
|
0 |
|a Smart innovation, systems, and technologies ;
|v 363.
|
| 856 |
4 |
0 |
|u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-981-99-4717-1
|y Click for online access
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| 903 |
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|a SPRING-ALL2023
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| 994 |
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|a 92
|b HCD
|