Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Metaheuristic Algorithms for Image Segmentation: Theory and Applications / / by Diego Oliva, Mohamed Abd Elaziz, Salvador Hinojosa
| Metaheuristic Algorithms for Image Segmentation: Theory and Applications / / by Diego Oliva, Mohamed Abd Elaziz, Salvador Hinojosa |
| Autore | Oliva Diego |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XV, 226 p. 58 illus., 43 illus. in color.) |
| Disciplina |
621.367
006.6 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Artificial intelligence Signal processing Image processing Speech processing systems Computational Intelligence Artificial Intelligence Signal, Image and Speech Processing |
| ISBN | 3-030-12931-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Optimization -- Metaheuristic optimization -- Image processing -- Image Segmentation using metaheuristics -- Multilevel thresholding for image segmentation based on metaheuristic Algorithms -- Otsu’s between class variance and the tree seed algorithm -- Image segmentation using Kapur’s entropy and a hybrid optimization algorithm -- Tsallis entropy for image thresholding -- Image segmentation with minimum cross entropy -- Fuzzy entropy approaches for image segmentation -- Image segmentation by gaussian mixture -- Image segmentation as a multiobjective optimization problem -- Clustering algorithms for image segmentation -- Contextual information in image thresholding. |
| Record Nr. | UNINA-9910484654903321 |
Oliva Diego
|
||
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Recent Advances in NLP: The Case of Arabic Language / / edited by Mohamed Abd Elaziz, Mohammed A. A. Al-qaness, Ahmed A. Ewees, Abdelghani Dahou
| Recent Advances in NLP: The Case of Arabic Language / / edited by Mohamed Abd Elaziz, Mohammed A. A. Al-qaness, Ahmed A. Ewees, Abdelghani Dahou |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (217 pages) |
| Disciplina | 006.35 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Natural language processing (Computer science) Germanic languages Arabic language Computational Intelligence Natural Language Processing (NLP) Germanic Languages Arabic |
| ISBN | 3-030-34614-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Text summarization: A brief review -- Single Arabic Document Summarization Using Natural Language Processing Technique -- Proposed Natural Language Processing Preprocessing Procedures for Enhancing Arabic Text Summarization -- Effects of Stemming on Feature Extraction and Selection for Arabic Documents Classification -- Improving Arabic Lemmatization through a lemmas database and a machine-learning technique -- The role of transliteration in the process of Arabizi translation/sentiment analysis -- Sentiment analysis in healthcare: A brief review -- Aspect-Based Sentiment Analysis for Arabic Government Reviews -- Prediction of the Engagement Rate on Algerian Dialect Facebook Pages -- Predicting Quranic Audio Clips Reciters Using Classical Machine Learning Algorithms: A Comparative Study. |
| Record Nr. | UNINA-9910483429803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||