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Record Nr. |
UNINA9910838282603321 |
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Autore |
Gunjan Vinit Kumar |
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Titolo |
Computational Intelligence in Machine Learning : Proceedings of the 2nd International Conference ICCIML 2022 |
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Pubbl/distr/stampa |
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Singapore : , : Springer, , 2024 |
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©2024 |
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ISBN |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (686 pages) |
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Collana |
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Lecture Notes in Electrical Engineering Series ; ; v.1106 |
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Altri autori (Persone) |
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KumarAmit |
ZuradaJacek M |
SinghSri Niwas |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Intro -- Contents -- About the Editors -- A Deep Learning Method for Autism Spectrum Disorder -- 1 Introduction -- 2 Transfer Learning -- 3 Experiments -- 3.1 Data Set -- 3.2 VGG-16 -- 4 Results and Discussion -- 5 Conclusion -- References -- Cyber-Attacks and Anomaly Detection in Networking Based on Deep Learning-A Survey -- 1 Introduction -- 2 Taxonomy on Anomaly Detection of Cyberattacks in Networking -- 2.1 Machine Learning -- 2.2 Supervised Learning -- 2.3 Unsupervised Learning -- 2.4 Semi-supervised Learning -- 3 Literature -- 4 Comparative Analysis -- 5 Problem Statement -- 6 Conclusion -- References -- AI-Enabled Analysis of Climate Change on Agriculture and Yield Prediction for Coastal Area -- 1 Introduction -- 2 Literature Survey -- 3 Implementation -- 3.1 LSTM Model -- 3.2 Random Forest Model -- 3.3 Predicted Temperature and Actual Temperature -- 3.4 Shows the Baseline Predicted Example -- 3.5 Shows the Prediction Weather -- 3.6 Shows the Alternate Crop -- 4 Result Analysis -- 5 Conclusion and Future Scope -- References -- Deep Learning Methods for Predicting Severity for Diabetic Retinopathy on Retinal Fundus Images -- 1 Introduction -- 2 DR Features -- 3 Literature Review -- 4 Proposed Methodology -- 5 Conclusion -- References -- Hate Text Finder Using Logistic Regression -- 1 Introduction -- 2 Related Work |
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