Tabla de Contenidos: “…""PROPERTIES OF MATERIALS IN FIRE""""Chapter Five Houses and Community Buildings ""; ""Woolstone Houses, Milton Keynes, England""; ""Keldy Castle Forest Cabins, Cropton, Yorkshire, England""; ""IBM Exhibition Pavilion, Europe""; ""South Poplar Health Centre, London, England""; ""Sixth Form College, Alton, Hampshire, England""; ""Schulitz House, Beverly Hills, California, USA""; ""Marin Tennis Club, San Raphael, California, USA""…”

Tabla de Contenidos: “…; The Cancer Ward; What Would You Tell Your Girlfriend?; The Forest Fire; The First Rule; How Women Choose Men; They Didn't Mean to; Your Most Precious Natural Resource; Good Judgment…”

Tabla de Contenidos: “…Adams - Fables in Philo of Alexandria: λόγος, μῦθος, and παραβολή -- Stephen Llewelyn and Lydia Gore-Jones - Cognitive Blending Theory and the Mashal of the Forest and the Sea in 4 Ezra 4:13-17: The Boundedness of Human Knowledge -- Lieve Teugels - From the Lion to the Snake, from the Wolf to the Bear: Rescue and Punishment in Classical Fables and Rabbinic Meshalim -- Galit Hasan-Rokem - The Rabbis' Double Vision: Folk Narrative Poetics of Late Antique Parables and Fables -- Lorena Miralles Maciá - Folktale Images in the Midrashic Context: Fable Motifs in Leviticus Rabbah 4 -- New Testament and Early Christian Literature -- Catherine Hezser - Finding a Treasure: The Treasure Motif in Jewish, Christian, and Graeco-Roman Narratives in the Context of Rabbinic Halakhah and Roman Law -- Justin David Strong - How to Interpret Parables in Light of the Fable: Lessons from the Promythium and Epimythium -- Mary Ann Beavis - Fables, Parables and Slaves: Epictetus, Aesop and the Gospels in Conversation with North American Slave Narratives…”

Tabla de Contenidos: “…Intro -- Preface -- Acknowledgments -- About the Editors -- List of Contributors -- Theme 1Statistics and AI Methods with Applications -- Chapter 1A Review of Computational Statistics and Artificial Intelligence Methodologies -- Chapter 2An Improved Random Forest for Classification and Regression Using Dynamic Weighted Scheme -- Chapter 3Study of Computational Statistical Methodologies for Modelling the Evolution of COVID-19 in India during the Second Wave -- Theme 2 Machine Learning-adopted Models -- Chapter 4Distracted Driver Detection Using Image Segmentation and Transfer Learning -- Chapter 5Review Analysis of Ride-Sharing Applications Using Machine Learning Approaches: Bangladesh Perspective -- Chapter 6Nowcasting of Selected Imports and Exports of Bangladesh: Comparison among Traditional Time Series Model and Machine Learning Models -- Theme 3Development of the Forecasting Component to the Decision Support Tools -- Chapter 7An Intelligent Interview Bot for Candidate Assessment by Using Facial Expression Recognition and Speech Recognition System -- Chapter 8Analysis of Oversampling and Ensemble Learning Methods for Credit Card Fraud Detection -- Chapter 9Combining News with Time Series for Stock Trend Prediction -- Chapter 10Influencing Project Success Outcomes by Utilising Advanced Statistical Techniques and AI during the Project Initiating Process -- Theme 4 Socio-economic and Environmental Modelling Theme 5Healthcare and Mental Disorder Detection with AIs -- Chapter 11Computational Statistical Methods for Uncertainty Assessment in Geoscience -- Chapter 12A Comparison of Geocomputational Models for Validating Geospatial Distribution of Water Quality Index -- Chapter 13Mathematical Modeling for Socio-economic Development: A Case from Palestine…”

Tabla de Contenidos: “…Chapter 1: Storytelling as a Catalyst for Climate Change Communication and Empowerment -- Chapter 2: Entertainment-Education and Climate Change: Program Examples, Evidence, and Best Practices from Around the World -- Chapter 3: The Power of Locally-Driven Narratives to Support and Sustain Climate Action -- Chapter 4: Positive Life-Changing Stories Today, Intergenerational Climate Benefits Tomorrow -- Chapter 5: Kembali Ke Hutan (Return to the Forest): Using Storytelling for Youth Engagement and Climate Action in Indonesia -- Chapter 6: Let’s Go! …”

Tabla de Contenidos: “…Cover -- Endorsements Page -- Half Title -- Series Page -- Title Page -- Copyright Page -- Table of Contents -- Editor Bios -- Contributor Bios -- Introduction: Entangled Futurities -- Part 1 Monsters and Monstrosity -- 1 "In the Woods the Tox is Still Wild": The EcoGothic in Rory Power's Wilder Girls -- 2 The Human/Un(human): Monster, Ecophobia, and the Posthuman Horror(scape) in Dibakar Banerjee's "Monster," Ghost Stories -- 3 A Scourge Even Worse Than Disease: Richard Matheson's I Am Legend as Pandemic Political Allegory -- Part 2 Intersectional Critique -- 4 Fungal Imaginaries: The Reconfiguration of Post-Pandemic Society in Severance and The Last of Us -- 5 Five Hundred Years of Plague: Indigenous Apocalypse in Joca Reiners Terron's Death and the Meteor -- 6 Corruption and Cleansing: An Eco-Feminist Approach to the Nature/Culture Dichotomy in Naomi Novik's Uprooted -- 7 Through Currents of Contamination: The Failure of Immunizing Insularity in Sophie Mackintosh's The Water Cure -- Part 3 More-Than-Human Mutual Aid and Eco-Justice -- 8 Dystopian Prohibitions and Utopian Possibilities in Edmonton, Canada, at the Onset of the COVID-19 Pandemic -- 9 Affiliation as Environmental Justice in Three Climate Novels -- 10 "A vortex of Summons and Repulsion": The Productive Abject, Posthumanisms, and the Weird in Charles Burns' Black Hole -- 11 (Un)Caring Borders: More-Than-Human Solidarities in the Bialowieza Forest -- Part 4 Creative Resistance and Utopian Glimmers -- 12 "Preservation is an Action, not a State": DIY Utopian Enclaves and Ways out of Post-Pandemic Surveillance Capitalism in Sarah Pinsker's A Song for a New Day -- 13 Pandemic Dramaturgy: Co-Designing the Performance Dying Together/Futures with COVID-19 -- 14 Vitality of Nonhuman Entities: Plagues and Pandemics as Hyperobjects in Defoe, Camus, and Pamuk…”

Tabla de Contenidos: “…Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- Preface -- About the Editors -- Contributors -- Acknowledgments -- Chapter 1 The Role of Internet of Things (IoT) Technology in Industry 4.0 Economy -- Chapter 2 Role of Artificial Intelligence (AI)-aided Internet of Things (IoT) Technologies in Business and Production -- Chapter 3 Exploring the Transformative Power of Internet of Things (IoT) Technologies in the Age of Industry 4.0: Unleashing the Potential in the Digital Economy -- Chapter 4 Internet of Things (IoT) Technology: A Critical Component of Industry 4.0 -- Chapter 5 Sustainable IT: A Comprehensive Guide to Green Computing and Green Internet of Things (IoT) Technologies -- Chapter 6 Applications of Internet of Things (IoT) in Smart Cities -- Chapter 7 Internet of Things (IoT)-Powered Communication in Smart Energy Systems -- Chapter 8 Application of Internet of Things (IoT) and Sensors Technologies for Agriculture -- Chapter 9 Application of Internet of Things (IoT) Technologies for Agriculture -- Chapter 10 Internet of Things (IoT)-based Water Conservation and Monitoring System -- Chapter 11 Application of Internet of Things (IoT) in Logistics and Supply Chain Management -- Chapter 12 Application of IoT in Drug Supply Chain Management (SCM) during COVID-19 Outbreak -- Chapter 13 Smart Grid Protection Scheme Using Internet of Things (IoT) -- Chapter 14 Internet of Things (IoT) as a Game Changer to the Education Sector -- Chapter 15 Internet of Forestry Things (IoFT) Technologies and Applications in Forest Management -- Chapter 16 Artificial Intelligence (AI) Equipped Edge Internet of Things (IoT) Devices in Security -- Chapter 17 Internet of Things (IoT) Integration with 5G and 6G Wireless Technologies -- Chapter 18 Blockchain Technologies and Internet of Things (IoT)-based Blockchain Applications…”

Tabla de Contenidos: “…Rastetter -- Ecosystem modeling of the CO2 response of forests on sites limited by nitrogen and water / Ross E. …”

Tabla de Contenidos: “…Moral Philosophy and Modern Social and Political Order11. From Field to Forest? Exploring Limits of Virtue Ethics, Joseph Dunne (Dublin City University, Ireland)12. …”

“…En diversos países y regiones como en el Mediterráneo es la afectación más relevante sobre la cubierta forestal arbolada, que se ve reducida temporalmente (la recuperación puede tardar décadas) incluso de forma irreversible. …”
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“…Se determinó la dinámica de las especies de manglar; índices ecológicos de Shannon y Sörensen, producción forestal y explotación, además del contenido de algunos metales pesados en cada uno de los sitios. …”
Enlace del recurso

Tabla de Contenidos: “…Indígenas y pérdida de biodiversidad : estereotipos, papeles y responsabilidades ante la crisis ambiental / Fausto Bolom Ton -- Teoría de los campos de Bourdieu : una perspectiva para estudiar la conservación y el aprovechamiento forestal / Mauricio Pablo Cervantes Salas -- Lógicas de representación y de acción de comunidades mam de Quetzaltenango (Guatemala) con su medio ambiente en un contexto de mutación de los sistemas simbólicos y de vulnerabilidad a las catástrofes socio naturales / J. …”

Tabla de Contenidos: “…Romero Mayo -- La cooperación internacional para l a actividad forestal e n Quintana Roo: origen, actores, desarrollo y prospectivas / Natalia Armijo Canto, María Antonieta Bocanegra Aguilar y Fausto Quintana Solórzano -- Turismo, políticas de cooperación y desarrollo en el Caribe mexicano./ Bonnie Lucía Campos Cámara -- La cooperación intergubernamental en apoyo al desarrollo sustentable de las zonas turísticas de Quintana Roo /Adela Vázquez Trejo -- Cooperación internacional y finanzas públicas en Quintana Roo: avances y retos / Eleazar S. …”

Tabla de Contenidos: “….- Principales aplicaciones forestales de la teledetección; 6.1. Cartografía de los tipos de cubierta forestal; 6.2. …”

“…En 1949 se publicó uno de los clásicos absolutos que ha generado el pensamiento ecologista: A Sand County Almanac (Almanaque del Condado Arenoso), la obra cimera del ingeniero forestal y ecólogo estadounidense Aldo Leopold, concluida justo antes de su muerte en 1948. …”

Tabla de Contenidos: “…La etiqueta ecológica del Forest Stewardship Council (FSC)…”
Acceso restringido con credenciales UPSA

Tabla de Contenidos: “…-- Hierarchical clustering -- Partitioning clustering (KMeans) -- Summary -- Chapter 3: Data Preprocessing -- Technical requirements -- Data transformation -- Numerical data transformation -- Scaling -- Missing values -- Outliers -- Detecting and treating univariate outliers -- Inter-quartile range -- Filtering values -- Winsorizing -- Trimming -- Detecting and treating multivariate outliers -- Binning -- Log and power transformations -- Categorical data transformation -- Encoding -- Missing values for categorical data transformation -- Text preprocessing -- Feature selection -- Excluding features with low variance -- Univariate feature selection -- Recursive feature elimination -- Feature selection using random forest -- Feature selection using dimensionality reduction -- Principal Component Analysis -- Feature generation -- Summary -- Chapter 4: Automated Algorithm Selection -- Technical requirements -- Computational complexity -- Big O notation -- Differences in training and scoring time -- Simple measure of training and scoring time -- Code profiling in Python -- Visualizing performance statistics -- Implementing k-NN from scratch -- Profiling your Python script line by line -- Linearity versus non-linearity -- Drawing decision boundaries -- Decision boundary of logistic regression -- The decision boundary of random forest -- Commonly used machine learning algorithms -- Necessary feature transformations -- Supervised ML -- Default configuration of auto-sklearn -- Finding the best ML pipeline for product line prediction -- Finding the best machine learning pipeline for network anomaly detection -- Unsupervised AutoML -- Commonly used clustering algorithms -- Creating sample datasets with sklearn -- K-means algorithm in action -- The DBSCAN algorithm in action…”

Tabla de Contenidos: “…-- Machine learning paradigms -- Introducing models, datasets, and supervised learning -- Models -- Hyperparameters -- Datasets -- Overfitting and generalization -- Supervised learning -- Model performance metrics -- A modeling example -- Decision tree learning -- Entropy and information gain -- Building a decision tree using C4.5 -- Overfitting in decision trees -- Building decision trees with scikit-learn -- Decision tree hyperparameters -- Summary -- References -- Chapter 2: Ensemble Learning - Bagging and Boosting -- Technical requirements -- Ensemble learning -- Bagging and random forests -- Random forest -- Gradient-boosted decision trees -- Gradient descent -- Gradient boosting -- Gradient-boosted decision tree hyperparameters -- Gradient boosting in scikit-learn -- Advanced boosting algorithm - DART -- Summary -- References -- Chapter 3: An Overview of LightGBM in Python -- Technical requirements -- Introducing LightGBM -- LightGBM optimizations -- Hyperparameters -- Limitations of LightGBM -- Getting started with LightGBM in Python -- LightGBM Python API -- LightGBM scikit-learn API -- Building LightGBM models -- Cross-validation -- Parameter optimization -- Predicting student academic success -- Summary -- References -- Chapter 4: Comparing LightGBM, XGBoost, and Deep Learning -- Technical requirements -- An overview of XGBoost -- Comparing XGBoost and LightGBM -- Python XGBoost example -- Deep learning and TabTransformers -- What is deep learning? …”

Tabla de Contenidos: “…Santa Maria Yavesia, Sierra Juarez de Oaxaca: Forests and Commonality -- Conclusions -- References -- Biodiversity in the Caribbean from 1950 to the Present -- Political Governance and the Influences on Biodiversity Documentation -- Caribbean's Biogeography -- Floral and Faunal Examples of Biodiversity within the Caribbean -- Culture and Folklore - the Social Side of Biodiversity -- Caribbean's Threat to Biodiversity 1950 to Today -- International Treaties, Agreements, and Biodiversity Programs within the Caribbean -- Conclusion and Recommendation -- References -- Appendix -- Biographical Notes…”