Centre dedocumentation
scientifique

Data mining / Derya Birant (2021)  

Public Titre : Data mining : methods, applications and systems Type de document : Monographie Auteurs : Derya Birant, Éditeur scientifique Editeur : London [UK] : IntechOpen Année de publication : 2021 Importance : 200 p. ISBN/ISSN/EAN : 978-1-83968-319-0 Note générale : Print ISBN 978-1-83968-318-3 eBook (PDF) ISBN 978-1-83968-320-6 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Intelligence artificielle [Termes IGN] acquisition de données [Termes IGN] apprentissage profond [Termes IGN] arbre de décision [Termes IGN] exploration de données [Termes IGN] Python (langage de programmation) [Termes IGN] série temporelle Index. décimale : 26.40 Intelligence artificielle Résumé : (Editeur) Data mining is a branch of computer science that is used to automatically extract meaningful, useful knowledge and previously unknown, hidden, interesting patterns from a large amount of data to support the decision-making process. This book presents recent theoretical and practical advances in the field of data mining. It discusses a number of data mining methods, including classification, clustering, and association rule mining. This book brings together many different successful data mining studies in various areas such as health, banking, education, software engineering, animal science, and the environment. Note de contenu : 1. Deep Learning: Exemplar Studies in Natural Language Processing and Computer Vision / Selma Tekir and Yalin Bastanlar 2. Contribution to Decision Tree Induction with Python: A Review / Bouchra Lamrini 3. Association Rule Mining on Big Data Sets / Oguz Celik, Muruvvet Hasanbasoglu, Mehmet S. Aktas and Oya Kalipsiz 4. Data Mining in Banking Sector Using Weighted Decision Jungle Method / Derya Birant 5. Analytical Statistics Techniques of Classification and Regression in Machine Learning / Pramod Kumar, Sameer Ambekar, Manish Kumar and Subarna Roy 6. Clustering of Time-Series Data / Esma Ergüner Özkoç 7. Weather Nowcasting Using Deep Learning Techniques / Makhamisa Senekane, Mhlambululi Mafu and Molibeli Benedict Taele 8. Data Mining and Machine Learning for Software Engineering / Elife Ozturk Kiyak 9. Data Mining for Student Performance Prediction in Education / Ferda Ünal 10. Tracer Transport in a Homogeneous Porous Medium: Experimental Study and Acquisition Data with LabVIEW / Sana Dardouri and Jalila Sghaier 11. Data Mining and Fuzzy Data Mining Using MapReduce Algorithms / Poli Venkata Subba Reddy Numéro de notice : 26539 Affiliation des auteurs : non IGN Thématique : INFORMATIQUE Nature : Recueil / ouvrage collectif DOI : 10.5772/intechopen.87784 En ligne : http://doi.org/10.5772/intechopen.87784 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97753

Hydrology / Theodore V. Hromadka II (2021)  

Public Titre : Hydrology Type de document : Monographie Auteurs : Theodore V. Hromadka II, Éditeur scientifique ; Prasada Rao, Éditeur scientifique Editeur : London [UK] : IntechOpen Année de publication : 2021 Importance : 122 p. Format : 19 x 27 cm ISBN/ISSN/EAN : 978-1-83962-331-8 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Hydrologie [Termes IGN] barrage [Termes IGN] changement climatique [Termes IGN] crue [Termes IGN] gestion de l'eau [Termes IGN] hydrodynamique [Termes IGN] hydrogéologie [Termes IGN] inondation [Termes IGN] modèle hydrographique [Termes IGN] précipitation [Termes IGN] sécheresse Résumé : (éditeur) In this book, an attempt is made to highlight the recent advances in Hydrology. The several topics examined in this book form the underpinnings of larger-scale considerations, including but not limited to topics such as large-scale hydrologic processes and the evolving field of Critical Zone Hydrology. Computational modeling, data collection, and visualization are additional subjects, among others, examined in the set of topics presented. Note de contenu : 1- Hydrometeorology: Review of past, present and future of methods 2- Perspectives of hydrologic modeling in agricultural research 3- Examination of hydrologic computer programs DHM and EDHM 4- Ecohydrology: An integrative sustainability science 5- Interlinking of river: Issues and challenges 6- Rivers of Lebanon: Significant water resources under threats 7- Statistical analysis of the precipitation isotope data with reference to the Indian subcontinent Numéro de notice : 28319 Affiliation des auteurs : non IGN Nature : Recueil / ouvrage collectif DOI : 10.5772/intechopen.87673 En ligne : https://doi.org/10.5772/intechopen.87673 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98254

Sylviculture / Ana Cristina Goncalves (2021)    

Public Titre : Sylviculture Type de document : Monographie Auteurs : Ana Cristina Goncalves, Éditeur scientifique Editeur : London [UK] : IntechOpen Année de publication : 2021 Importance : 160 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-1-83968-450-0 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] afforestation [Termes IGN] changement climatique [Termes IGN] forêt tropicale [Termes IGN] gestion forestière durable [Termes IGN] karst [Termes IGN] peuplement mélangé [Termes IGN] Pinus sylvestris [Termes IGN] structure d'un peuplement forestier [Vedettes matières IGN] Sylviculture Résumé : (éditeur) Silviculture is integral for the perpetuity and sustainability of forest stands and their yields. It encompasses several methods and techniques that make the bridge between individual trees and the stand. This book focuses on sustainable forest management with chapters on such topics as afforestation, thinning, pest control, and mitigation of climate change, among others. Note de contenu : 1- Silvicultural practices in Venezuelan natural forests: An historical perspective and prospects of sustainable forest management 2- Mixed forest plantations with native species for ecological restoration in cloud forests of the Venezuelan Andes 3- Thinning: An overview 4- Differentiation of the forest structure as the mitigation action of adverse effects of climate change 5- Basic theory and methods of afforestation 6- Afforestation in karst area 7- Legal and Administrative Aspects of Forest Pest and Disease Control in Japan Numéro de notice : 28387 Affiliation des auteurs : non IGN Thématique : FORET Nature : Recueil / ouvrage collectif DOI : 10.5772/intechopen.87532 En ligne : https://doi.org/10.5772/intechopen.87532 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98663

Wavelet theory / Somayeh Mohammady (2021)  

Public Titre : Wavelet theory Type de document : Monographie Auteurs : Somayeh Mohammady, Éditeur scientifique Editeur : London [UK] : IntechOpen Année de publication : 2021 Importance : 398 p. Format : 19 x 27 cm ISBN/ISSN/EAN : 978-1-83881-955-2 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] filtrage du bruit [Termes IGN] ondelette de Haar [Termes IGN] traitement du signal [Termes IGN] transformation de Fourier [Termes IGN] transformation en ondelettes Résumé : (éditeur) The wavelet is a powerful mathematical tool that plays an important role in science and technology. This book looks at some of the most creative and popular applications of wavelets including biomedical signal processing, image processing, communication signal processing, Internet of Things (IoT), acoustical signal processing, financial market data analysis, energy and power management, and COVID-19 pandemic measurements and calculations. The editor’s personal interest is the application of wavelet transform to identify time domain changes on signals and corresponding frequency components and in improving power amplifier behavior. Note de contenu : 1- Time Frequency Analysis of Wavelet and Fourier Transform 2- Wavelet Theory: Applications of the Wavelet 3- Wavelet Theory and Application in Communication and Signal Processing 4- Wavelet Based Multicarrier Modulation (MCM) Systems: PAPR Analysis 5- Wavelets for EEG Analysis 6- Ultra-High Performance and Low-Cost Architecture of Discrete Wavelet Transforms 7- Fault Detection, Diagnosis, and Isolation Strategy in Li-Ion Battery Management Systems of HEVs Using 1-D Wavelet Signal Analysis 8- Industrial IoT Using Wavelet Transform 9- Wavelet Transform for Signal Processing in Internet-of-Things (IoT) 10- The Discrete Quincunx Wavelet Packet Transform 11- Uncertainty and the Oracle of Market Returns: Evidence from Wavelet Coherence Analysis 12- Case Study: Coefficient Training in Paley-Wiener Space, FFT, and Wavelet Theory 13- Wavelet Filter Banks Using Allpass Filters 14- A Wavelet Threshold Function for Treatment of Partial Discharge Measurements 15- Use of Daubechies Wavelets in the Representation of Analytical Functions 16- Higher Order Haar Wavelet Method for Solving Differential Equations 17- COVID-19 Outbreak and Co-Movement of Global Markets: Insight from Dynamic Wavelet Correlation Analysis Numéro de notice : 28316 Affiliation des auteurs : non IGN Thématique : IMAGERIE/MATHEMATIQUE Nature : Recueil / ouvrage collectif DOI : 10.5772/intechopen.87895 En ligne : https://doi.org/10.5772/intechopen.87895 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98235

Advances and applications in deep learning / Marco Antonio Aceves-Fernandez (2020)  

Public Titre : Advances and applications in deep learning Type de document : Monographie Auteurs : Marco Antonio Aceves-Fernandez, Éditeur scientifique Editeur : London [UK] : IntechOpen Année de publication : 2020 Importance : 122 p. Format : 21 x 30 cm ISBN/ISSN/EAN : 978-1-83962-879-5 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Intelligence artificielle [Termes IGN] apprentissage automatique [Termes IGN] apprentissage profond [Termes IGN] classification par réseau neuronal convolutif [Termes IGN] constante diélectrique [Termes IGN] méthode fondée sur le noyau [Termes IGN] programmation stochastique [Termes IGN] temps réel [Termes IGN] vision par ordinateur Résumé : (auteur) Artificial Intelligence (AI) has attracted the attention of researchers and users alike and is taking an increasingly crucial role in our modern society. From cars, smartphones, and airplanes to medical equipment, consumer applications, and industrial machines, the impact of AI is notoriously changing the world we live in. In this context, Deep Learning (DL) is one of the techniques that has taken the lead for cognitive processes, pattern recognition, object detection, and machine learning, all of which have played a crucial role in the growth of AI. As such, this book examines DL applications and future trends in the field. It is a useful resource for researchers and students alike. Note de contenu : 1- Advancements in deep learning theory and applications: Perspective in 2020 and beyond 2- Advances in convolutional neural networks 3- Transfer learning and deep domain adaptation 4- Deep learning enabled nanophotonics 5- Explainable artificial intelligence (xAI) approaches and deep meta-learning models 6- Dynamic decision-making for stabilized deep learning software platforms Numéro de notice : 28565 Affiliation des auteurs : non IGN Thématique : INFORMATIQUE Nature : Recueil / ouvrage collectif DOI : 10.5772/intechopen.87786 En ligne : https://doi.org/10.5772/intechopen.87786 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97647

Advances in forest management under global change / Ling Zhang (2020)  

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Bayesian inference on complicated data / Niansheng Tang (2020)  

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Geographic Information Systems in geospatial intelligence / Rustam B. Rustamov (2020)  

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Introduction to data science and machine learning / Keshav Sud (2020)  

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Mixed Reality and Three-Dimensional Computer Graphics / Branislav Sobota (2020)  

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Multi-agent systems / Ricardo Lopez-Ruiz (2020)  

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Open scientific data / Vera J. Lipton (2020)  

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Optical Coherence Tomography and Its Non-medical Applications / Michael R. Wang (2020)  

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Processing and analysis of hyperspectral data / Jie Chen (2020)  

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Smart cities and construction technologies / Kefeng Zhang (2020)  

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