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230301 ||| eng |
| 020 |
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|a 9789811959363
|
| 100 |
1 |
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|a Kumar, Amit
|e [editor]
|
| 245 |
0 |
0 |
|a ICDSMLA 2021
|h Elektronische Ressource
|b Proceedings of the 3rd International Conference on Data Science, Machine Learning and Applications
|c edited by Amit Kumar, Sabrina Senatore, Vinit Kumar Gunjan
|
| 250 |
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|a 1st ed. 2023
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| 260 |
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|a Singapore
|b Springer Nature Singapore
|c 2023, 2023
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| 300 |
|
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|a XIV, 901 p. 560 illus., 395 illus. in color
|b online resource
|
| 505 |
0 |
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|a Road accident detection and indication system -- Attendance System based on Face Recognition using Haar Cascade and LBPH Algorithm -- Different Thresholding Techniques in Image processing : A Review -- Dynamic Weighting Selection for Predictive Torque and Flux Control of Industrial Drives -- Population Index and Analysis based on different geographies; Using distance measurement, Social Distancing, and Deep Learning -- On the discriminability of samples using binarized ReLU activations -- A Detailed Review of Supervised and Unsupervised Machine Learning Approaches -- Skin Cancer Classification using Deep Learning -- Crop Yield Prediction using Deep Learning -- Real Time Tweets Streaming and Comparison Using Naïve Bayes Classifier -- Smart Shopping Trolley for Billing System -- A Survey on IoT Protocol in Real Time Applications and its Architectures -- Safe Characteristic Signature Systems with Different Jurisdiction using Block Chain in E-Health Records -- Web based trash segregation using deep learning algorithm -- Home Automation Using Face Recognition for Wireless Security -- Hybrid-network intrusion detection (H-NID) model using machine learning techniques (MLTs) -- Impact of Using Partial Gait Energy Images for Human Recognition by Gait Analysis -- Several Routing Protocols, Features and Limitations for WMN (Wireless Mesh Network) : A Review -- A deep meta-model for environmental sound recognition -- Spatial Computing: Next Big Thing of Physical and Digital World
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| 653 |
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|a Data Analysis and Big Data
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| 653 |
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|a Internet of things
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| 653 |
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|a Computational intelligence
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| 653 |
|
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|a Artificial Intelligence
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| 653 |
|
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|a Quantitative research
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| 653 |
|
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|a Mathematical Models of Cognitive Processes and Neural Networks
|
| 653 |
|
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|a Computational Intelligence
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| 653 |
|
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|a Neural networks (Computer science)
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| 653 |
|
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|a IT in Business
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| 653 |
|
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|a Internet of Things
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| 653 |
|
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|a Artificial intelligence
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| 653 |
|
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|a Business information services
|
| 700 |
1 |
|
|a Senatore, Sabrina
|e [editor]
|
| 700 |
1 |
|
|a Gunjan, Vinit Kumar
|e [editor]
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
|
|b Springer
|a Springer eBooks 2005-
|
| 490 |
0 |
|
|a Lecture Notes in Electrical Engineering
|
| 028 |
5 |
0 |
|a 10.1007/978-981-19-5936-3
|
| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-981-19-5936-3?nosfx=y
|x Verlag
|3 Volltext
|
| 082 |
0 |
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|a 006.3
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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, human–computer 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
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