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Titre : Forest biomass and carbon Type de document : Monographie Auteurs : Gopal Shukla, Éditeur scientifique Editeur : London [UK] : IntechOpen Année de publication : 2018 Importance : 112 p. Format : 19 x 27 cm ISBN/ISSN/EAN : 978-1-78984-362-0 Langues : Anglais (eng) Descripteur : [Termes IGN] biomasse aérienne
[Termes IGN] biomasse forestière
[Termes IGN] densité de la végétation
[Termes IGN] énergie renouvelable
[Termes IGN] gestion forestière durable
[Termes IGN] matière organique
[Termes IGN] Pinus (genre)
[Termes IGN] puits de carbone
[Termes IGN] savane
[Termes IGN] structure d'un peuplement forestier
[Termes IGN] Theobroma cacao
[Termes IGN] zone intertropicale
[Vedettes matières IGN] Ecologie forestièreRésumé : (éditeur) Forests grow and their biomass increases; they absorb carbon from the atmosphere and store it in plant tissue. Understanding the biomass of forest vegetation is essential for determining the storage of carbon in the dominant tree component and computing carbon cycling at a regional as well as global level. This book consisting of five chapters will give a comprehensive understanding of biomass production vis-à-vis carbon storage in relation to litter and nutrient dynamics of the forest by analyzing the mode and magnitude of biomass production and carbon storage as a function of various silvicultural factors. Note de contenu : 1- Effects of forest stand structure in biomass and carbon
2- Tree stock, structure and use of common woody species of a town neighboring forest reserve in Tanzania: Implication for managing carbon accumulation
3- Plant diversity, ecological services, and carbon stock assessment in cocoa agroforestry plantations of forest and savannah transitions in Cameroon
4- Effects of eucalyptus and pinus forest management on soil organic carbon in Brazilian wooded-savanna
5- Determinants and tools to evaluate the ecological sustainability of using forest biomass as an alternative energy sourceNuméro de notice : 25955 Affiliation des auteurs : non IGN Thématique : FORET Nature : Recueil / ouvrage collectif DOI : 10.5772/intechopen.69011 En ligne : https://doi.org/10.5772/intechopen.69011 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96421
Titre : Forest fire Type de document : Monographie Auteurs : Janusz Szmyt, Éditeur scientifique Editeur : London [UK] : IntechOpen Année de publication : 2018 Importance : 162 p. Format : 19 x 27 cm ISBN/ISSN/EAN : 978-1-78923-073-4 Langues : Anglais (eng) Descripteur : [Termes IGN] anthropisation
[Termes IGN] dommage forestier causé par facteurs naturels
[Termes IGN] incendie de forêt
[Termes IGN] prévention des risques
[Termes IGN] protection des forêts
[Termes IGN] régénération (sylviculture)
[Termes IGN] ressources forestières
[Vedettes matières IGN] Ecologie forestièreRésumé : (éditeur) This book concerns the different aspects of forest fires, the impact of fire on both forest resources (e.g. forest cover) and communities that use different forest functions. Therefore, forest fires have their environmental, economic and social consequences, and none of them is less important. Forest fires can be caused by both natural forces and anthropogenic factors, and in the latter case, it is extremely interesting to profile the potential arsonist. Forest fires may also cause conflicts, stronger or weaker, in local communities that have been using forests for years. These conflicts can be solved both by gradually changing the law itself and through education at the local level. Not less important is the ability to detect fires early, which can be helped by the development of modern technologies. In limiting the effects of forest fires, it may also be helpful to develop mathematical models that indicate various factors affecting the possibility of a fire or affecting the rate of its spread. Not less important is the attempt to assess the direction of forest regeneration after the fire has ceased, in understanding what the help of modern technology is. These aspects of forest fire are the subject of this book. I realize, however, that the contents in it can only be an incentive for the reader to learn more, in an interesting aspect. I assume that this book will be valuable to researchers as well as students who are interested in different aspects connected to forest fires, not only from the ecological point of view but also from the social one. Both are extremely important in future forest protection and sustainable use of forest by local communities. Note de contenu : 1- Ruling frameworks and fire use‐conflicts in tropical forests of Chiapas, Mexico: A discourse analysis
2- Archetypes of wildfire arsonists: An approach by using Bayesian networks
3- Forest fire monitoring
4- Forest fire model
5- Forest fire occurrence and modeling in Southeastern Australia
6- Post-fire vegetation recovery in Iberia based on remote- sensing information
7- Wood of coniferous trees: Reaction to fireNuméro de notice : 25954 Affiliation des auteurs : non IGN Thématique : FORET Nature : Recueil / ouvrage collectif DOI : 10.5772/intechopen.69417 En ligne : https://doi.org/10.5772/intechopen.69417 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96420
Titre : Gravity : Geoscience Applications, Industrial Technology and Quantum Aspect Type de document : Monographie Auteurs : Taher Zouaghi, Éditeur scientifique Editeur : London [UK] : IntechOpen Année de publication : 2018 Format : 19 x 27 cm ISBN/ISSN/EAN : 978-953-51-4059-7 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie physique
[Termes IGN] centre de gravité
[Termes IGN] champ de gravitation
[Termes IGN] champ de pesanteur terrestre
[Termes IGN] modèle de géopotentiel
[Termes IGN] modèle géologique
[Termes IGN] structure géologique
[Termes IGN] transformation en ondelettesRésumé : (éditeur) This book deals with different aspects of gravity that has proved its effectiveness throughout the world, hence their solicitation in recent years. Fundamental theories, applications, and tools have been presented, emphasizing the implementation of the gravity technique. Different research themes for diverse areas in the world are detailed here, highlighting new methods of studies that could be helpful for sophisticated and modern development over the next few years. Four main sections are presented: Gravity Interpretation Tools in Geoscience, Gravity in Geoscience Applications, Gravity in Industrial Technology, and Quantum Gravity. Theoretical and acquisition tools and adapted processing methods have been designed to take into account the initial data, and modeling results thus converge toward a better solution. This book, which makes a worthwhile contribution to the topic gravity, is specifically addressed to specialists, researchers, and industry professionals who shall find its content extremely useful for a better comprehension of the geological, spatial, and industrial aspects of gravity. Note de contenu : 1- Gravity data interpretation using different new algorithms: A comparative study
2- 3D modeling and inversion of gravity data in exploration scale
3- Microgravity and its applications in geosciences
4- Application of BEMD in extraction of regional and local gravity anomalies reflecting geological structures associated with mineral resources
5- Identification of gravity lineaments for water resources in the crystalline Massif of Hoggar (South of Algeria)
6- Gravity application for delineating subsurface structures at different localities in Egypt
7- Gravity in heat pipe technology
8- Analysis of the influence of fish behavior on the hydrodynamics of net cage
9- Beyond Einstein: A polynomial affine model of gravity
10- Gravity, curvature and energy: gravitational field intentionality to the cohesion and union of the universeNuméro de notice : 28508 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Recueil / ouvrage collectif DOI : 10.5772/intechopen.68576 En ligne : https://doi.org/10.5772/intechopen.68576 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97043
Titre : Machine learning - advanced techniques and emerging applications Type de document : Monographie Auteurs : Hamed Farhadi, Éditeur scientifique Editeur : London [UK] : IntechOpen Année de publication : 2018 Importance : 230 p. Format : 19 x 27 cm ISBN/ISSN/EAN : 9781789237528 9781789237535 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Intelligence artificielle
[Termes IGN] apprentissage automatique
[Termes IGN] données massives
[Termes IGN] informatique en nuage
[Termes IGN] processeur graphique
[Termes IGN] statistiquesRésumé : (éditeur) The volume of data that is generated, stored, and communicated across different industrial sections, business units, and scientific research communities has been rapidly expanding. The recent developments in cellular telecommunications and distributed/parallel computation technology have enabled real-time collection and processing of the generated data across different sections. On the one hand, the internet of things (IoT) enabled by cellular telecommunication industry connects various types of sensors that can collect heterogeneous data. On the other hand, the recent advances in computational capabilities such as parallel processing in graphical processing units (GPUs) and distributed processing over cloud computing clusters enabled the processing of a vast amount of data. There has been a vital need to discover important patterns and infer trends from a large volume of data (so-called Big Data) to empower data-driven decision-making processes. Tools and techniques have been developed in machine learning to draw insightful conclusions from available data in a structured and automated fashion. Machine learning algorithms are based on concepts and tools developed in several fields including statistics, artificial intelligence, information theory, cognitive science, and control theory. The recent advances in machine learning have had a broad range of applications in different scientific disciplines. This book covers recent advances of machine learning techniques in a broad range of applications in smart cities, automated industry, and emerging businesses. Note de contenu : 1- Hardware accelerator design for machine learning
2- Regression models to predict air pollution from affordable data collections
3- Multiple kernel-based multimedia fusion for automated event detection from tweets
4- Using sentiment analysis and machine learning algorithms to determine citizens’ perceptions
5- Overcoming challenges in predictive modeling of Laser-plasma interaction scenarios. The sinuous route from advanced machine learning to deep learning
6- Machine learning approaches for spectrum management in cognitive radio networks
7- Machine learning algorithm for wireless indoor localization
8- classification of malaria-infected cells using deep convolutional neuronal networks
9- Machine learning in educational technology
10- Sentiment-based semantic rule learning for improved product recommandations
11- A multilevel evolutionary algorithm applied to the maximum satisfiability problemsNuméro de notice : 25952 Affiliation des auteurs : non IGN Thématique : INFORMATIQUE Nature : Recueil / ouvrage collectif DOI : 10.5772/intechopen.69783 En ligne : https://doi.org/10.5772/intechopen.69783 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96406
Titre : Machine learning and biometrics Type de document : Monographie Auteurs : Jucheng Yang, Éditeur scientifique ; Dong Sun Park, Éditeur scientifique ; Sook Yoon, Éditeur scientifique ; et al., Auteur Editeur : London [UK] : IntechOpen Année de publication : 2018 Importance : 146 p. Format : 17 x 24 cm ISBN/ISSN/EAN : 978-1-83881-556-1 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Intelligence artificielle
[Termes IGN] apprentissage automatique
[Termes IGN] apprentissage profond
[Termes IGN] biométrie
[Termes IGN] exploration de données
[Termes IGN] interface homme-machine
[Termes IGN] reconnaissance facialeRésumé : (éditeur) We are entering the era of big data, and machine learning can be used to analyze this deluge of data automatically. Machine learning has been used to solve many interesting and often difficult real-world problems, and the biometrics is one of the leading applications of machine learning. This book introduces some new techniques on biometrics and machine learning, and new proposals of using machine learning techniques for biometrics as well. This book consists of two parts: ""Biometrics"" and ""Machine Learning for Biometrics."" Parts I and II contain four and three chapters, respectively. The book is reviewed by editors: Prof. Jucheng Yang, Prof. Dong Sun Park, Prof. Sook Yoon, Dr. Yarui Chen, and Dr. Chuanlei Zhang. Note de contenu : 1- Introductory chapter: machine learning and biometrics
2- Recognition of eye characteristics
3- A survey on soft biometrics for human identification
4- Face recognition with facial occlusion based on local cycle graph structure operator
5- Electrocardiogram recognization based on variational autoEncoder
6- A survey on methods of image processing and recognition for personal identification
7- A human body mathematical model biometric using golden ratio: A new algorithmNuméro de notice : 28505 Affiliation des auteurs : non IGN Thématique : INFORMATIQUE Nature : Recueil / ouvrage collectif DOI : 10.5772/intechopen.71297 En ligne : https://doi.org/10.5772/intechopen.71297 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97028 Morphodynamic model for predicting beach changes based on Bagnold's concept and its applications / Takaaki Uda (2018)PermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkModeling and Simulation in Engineering, ch. 1. Image-laser fusion for in situ 3D modeling of complex environments: A 4D panoramic-driven approach / Daniela Craciun (2012)PermalinkPermalink