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on1369515108 |
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20241006213017.0 |
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230214s2023 si o 100 0 eng d |
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|a 1369520364
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|a 1369674374
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|a 10.1007/978-981-19-5936-3
|2 doi
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| 035 |
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|a (OCoLC)1369515108
|z (OCoLC)1369520364
|z (OCoLC)1369656327
|z (OCoLC)1369674374
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| 050 |
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|a Q334
|b .I58 2023
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| 072 |
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|a UYQ
|2 bicssc
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|a TEC009000
|2 bisacsh
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|a UYQ
|2 thema
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|a HCDD
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| 111 |
2 |
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|a International Conference on Data Science, Machine Leaning and Applications
|n (3rd :
|d 2021)
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| 245 |
1 |
0 |
|a ICDSMLA 2021 :
|b proceedings of the 3rd International Conference on Data Science, Machine Learning and Applications /
|c Amit Kumar, Sabrina Senatore, Vinit Kumar Gunjan, editors.
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| 264 |
|
1 |
|a Singapore :
|b Springer,
|c 2023.
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| 300 |
|
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|a 1 online resource
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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 Lecture Notes in Electrical Engineering ;
|v v. 947
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| 505 |
0 |
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|a Intro -- Preface -- Contents -- Road Accident Detection and Indication System -- 1 Introduction -- 2 Existing Models -- 3 Proposed Model -- 4 The Design of Vehicle Crash Alert System -- 5 Conclusion -- References -- Attendance System Based on Face Recognition Using Haar Cascade and LBPH Algorithm -- 1 Introduction -- 2 Problem Definition -- 3 Proposed System -- 4 Dataset and Methodology -- 5 Results and Outcome -- 6 Conclusion -- References -- Different Thresholding Techniques in Image Processing : A Review -- 1 Introduction -- 2 Thresholding -- 2.1 Global Thresholding
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| 505 |
8 |
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|a 2.2 Multi-thresholding -- 2.3 Adaptive Thresholding -- 3 Choosing a Thresholding Method -- 4 Conclusion -- References -- Dynamic Weighting Selection for Predictive Torque and Flux Control of Industrial Drives -- 1 Introduction -- 2 Predictive Torque and Flux Control -- 3 Proposed Dynamic Weighting Factor Selection -- 4 Simulation Results -- 5 Conclusion -- References -- Population Index and Analysis Based on Different Geographies -- Using Distance Measurement, Social Distancing, and Deep Learning -- 1 Introduction -- 1.1 How is Social Distancing Efficient? -- 1.2 Social Distancing
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| 505 |
8 |
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|a 2 Research Background and Relevant Work -- 2.1 Pedestrian Detection and Distance Measurement -- 2.2 Object Detection -- 2.3 Social Distancing for COVID-19 -- 3 Object Detection and Distance Measurement -- 3.1 Object Detection -- 3.2 Distance Measurement Between Detected Objects -- 4 Proposed Methodology -- 4.1 Stage I: Detecting Violators -- 4.2 Stage II: Finding Busy Hours -- 5 Experiment and Result Analysis -- 5.1 YOLO Outputs -- 5.2 Database of Violations -- 5.3 Busy Hours -- 5.4 Discussion -- 6 Conclusion -- 7 Future Scope -- References
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| 505 |
8 |
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|a On the Discriminability of Samples Using Binarized ReLU Activations -- 1 Introduction -- 1.1 Contributions -- 2 Metrics Used in the Experimental Setup -- 3 Experiments -- 3.1 Influence of Number of Layers -- 3.2 Influence of Sample Size and Number of Training Labels -- 4 Conclusion and Future Work -- References -- Supervised and Unsupervised Machine Learning Approaches-A Survey -- 1 Introduction -- 2 Different Kinds of Learning -- 2.1 Supervised Machine Learning -- 2.2 Unsupervised Machine Learning Algorithm -- 3 Conclusion -- References -- Skin Cancer Classification Using Deep Learning
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| 505 |
8 |
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|a 1 Introduction -- 2 Literature Survey -- 3 Objectives -- 4 Existing System -- 5 Proposed Approach -- 6 Conclusion -- References -- Crop Yield Prediction Using Deep Learning -- 1 Introduction -- 2 Related Work -- 3 Proposed Idea -- 4 Data Flow Diagram -- 5 Training Specifications -- 6 Performance Evaluation -- 7 Experimental Results -- 8 Discussion and Conclusions -- References -- Real-Time Tweets Streaming and Comparison Using Naïve Bayes Classifier -- 1 Introduction -- 2 Problem Definition -- 3 Literature Survey -- 4 Proposed Work -- 5 Conclusion and Future Enhancement -- References
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| 520 |
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|a This book gathers selected high-impact articles from the 3rd International Conference on Data Science, Machine Learning & Applications 2021. It highlights the latest developments in the areas of artificial intelligence, machine learning, soft computing, humancomputer interaction and various data science and machine learning applications. It brings together scientists and researchers from different universities and industries around the world to showcase a broad range of perspectives, practices and technical expertise.
|
| 588 |
0 |
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|a Online resource; title from PDF title page (SpringerLink, viewed February 14, 2023).
|
| 650 |
|
0 |
|a Artificial intelligence
|v Congresses.
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| 650 |
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0 |
|a Machine learning
|v Congresses.
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| 650 |
|
7 |
|a Artificial intelligence
|2 fast
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| 650 |
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7 |
|a Machine learning
|2 fast
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| 655 |
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0 |
|a Electronic books.
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| 655 |
|
7 |
|a proceedings (reports)
|2 aat
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| 655 |
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7 |
|a Conference papers and proceedings
|2 fast
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| 655 |
|
7 |
|a Conference papers and proceedings.
|2 lcgft
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| 655 |
|
7 |
|a Actes de congrès.
|2 rvmgf
|
| 700 |
1 |
|
|a Kumar, Amit,
|d 1976-
|1 https://id.oclc.org/worldcat/entity/E39PBJfMdWJpJMDxXP3JcM6kDq
|
| 700 |
1 |
|
|a Senatore, Sabrina.
|
| 700 |
1 |
|
|a Gunjan, Vinit Kumar.
|
| 776 |
0 |
8 |
|c Original
|z 9811959358
|z 9789811959356
|w (OCoLC)1336701928
|
| 830 |
|
0 |
|a Lecture notes in electrical engineering ;
|v v. 947.
|
| 856 |
4 |
0 |
|u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-981-19-5936-3
|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
|