Détail de l'éditeur
ELSEVIER SCIENCE |
Documents disponibles chez cet éditeur (767)
Ajouter le résultat dans votre panier Faire une suggestion Affiner la recherche
Multi-Criteria Decision-Making Sorting Methods : Applications to Real-World Problems / ELSEVIER SCIENCE (2023)
Titre : Multi-Criteria Decision-Making Sorting Methods : Applications to Real-World Problems Type de document : e-book Editeur : ELSEVIER SCIENCE Année de publication : 2023 Importance : 280 p. ISBN/ISSN/EAN : 978-0-323-85232-6 Langues : Anglais (eng) Mots-clés : Management
PRISE DE DECISION ; CONFLITRésumé : Multi Criteria Decision Making (MCDM) is a generic term for all methods that help people making decisions according to their preferences, in situations where there is more than one conflicting criterion. It is a branch of operational research dealing with finding optimal results in complex scenarios including various indicators, conflicting objectives and criteria. The approach of MCDM involves decision making concerning quantitative and qualitative factors. Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://ebookcentral.proquest.com/lib/ne [...] Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=574546
Titre : Advanced Data Mining Tools and Methods for Social Computing Type de document : e-book Auteurs : Sourav DE Editeur : ELSEVIER SCIENCE Année de publication : 2022 ISBN/ISSN/EAN : 9780323857086 Note générale : copyrighted Langues : Anglais (eng) Résumé : Advanced Data Mining Tools and Methods for Social Computing explores advances in the latest data mining tools, methods, algorithms and the architectures being developed specifically for social computing and social network analysis. The book reviews major emerging trends in technology that are supporting current advancements in social networks, including data mining techniques and tools. It also aims to highlight the advancement of conventional approaches in the field of social networking. Chapter coverage includes reviews of novel techniques and state-of-the-art advances in the area of data mining, machine learning, soft computing techniques, and their applications in the field of social network analysis. Provides insights into the latest research trends in social network analysis Covers a broad range of data mining tools and methods for social computing and analysis Includes practical examples and case studies across a range of tools and methods Features coding examples and supplementary data sets in every chapter Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88930382 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=549369 Artificial Intelligence for Healthcare Applications and Management / Boris GALITSKY / ELSEVIER SCIENCE (2022)
Titre : Artificial Intelligence for Healthcare Applications and Management Type de document : e-book Auteurs : Boris GALITSKY Editeur : ELSEVIER SCIENCE Année de publication : 2022 ISBN/ISSN/EAN : 9780128245217 Note générale : copyrighted Langues : Anglais (eng) Résumé : Artificial Intelligence for Healthcare Applications and Management introduces application domains of various AI algorithms across healthcare management. Instead of discussing AI first and then exploring its applications in healthcare afterward, the authors attack the problems in context directly, in order to accelerate the path of an interested reader toward building industrial-strength healthcare applications. Readers will be introduced to a wide spectrum of AI applications supporting all stages of patient flow in a healthcare facility. The authors explain how AI supports patients throughout a healthcare facility, including diagnosis and treatment recommendations needed to get patients from the point of admission to the point of discharge while maintaining quality, patient safety, and patient/provider satisfaction. AI methods are expected to decrease the burden on physicians, improve the quality of patient care, and decrease overall treatment costs. Current conditions affected by COVID-19 pose new challenges for healthcare management and learning how to apply AI will be important for a broad spectrum of students and mature professionals working in medical informatics. This book focuses on predictive analytics, health text processing, data aggregation, management of patients, and other fields which have all turned out to be bottlenecks for the efficient management of coronavirus patients. Presents an in-depth exploration of how AI algorithms embedded in scheduling, prediction, automated support, personalization, and diagnostics can improve the efficiency of patient treatment Investigates explainable AI, including explainable decision support and machine learning, from limited data to back-up clinical decisions, and data analysis Offers hands-on skills to computer science and medical informatics students to aid them in designing intelligent systems for healthcare Informs a broad, multidisciplinary audience about a multitude of applications of machine learning and linguistics across various healthcare fields Introduces medical discourse analysis for a high-level representation of health texts Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88930558 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=550507 Classification Made Relevant : How Scientists Build and Use Classifications and Ontologies / Jules J. BERMAN / ELSEVIER SCIENCE (2022)
Titre : Classification Made Relevant : How Scientists Build and Use Classifications and Ontologies Type de document : e-book Auteurs : Jules J. BERMAN Editeur : ELSEVIER SCIENCE Année de publication : 2022 Note générale : copyrighted Langues : Anglais (eng) Résumé : Classification Made Relevant explains how classifications and ontologies are designed, and how they are used to analyze scientific information. It is through our description of the relationships among classes of objects that we are able to simplify knowledge and explore the ways in which individual classified objects behave. The book begins by describing the fundamentals of classification and leads up to a description of how computer scientists use object-oriented programming languages to model classifications and ontologies. Numerous examples are chosen from the Classification of Life, the Periodic Table of the Elements, and the symmetry relationships contained within the Classification Theorem of Finite Simple Groups. When these three classifications are tied together, they provide a relational hierarchy connecting all of the natural sciences. This book is intended to reach a multidisciplinary audience of students and professionals working in the data sciences, the library sciences, and all of the STEM sciences. The chapters introduce and describe general concepts that can be understood by any intelligent reader. With each new concept, there follow practical examples selected from various scientific disciplines. In these cases, technical points and specialized vocabulary are linked to glossary items, where the item is clarified and expanded. Technical terms in the data sciences often have different meanings, depending on the reader's specific discipline. The word “ontology? has so many meanings, it has become meaningless. Skeptics can google on the word “ontology? to quickly confirm the inchoate status of this subject. In such cases, the glossary describes the different way the term has been used and will clarify its meaning within the book's context. For the benefit of computer scientists, the glossary contains short scripts written in Perl or Python or Ruby. Non-programmers will be spared from reading computer code, without missing out on the concepts covered in each chapter. By using the glossary links, every reader experiences a version of this book tailored to their personal needs and preferences. Explains the theory and the practice of classification. Emphasizes the importance of classifications and ontologies to the modern fields of mathematics, physics, chemistry, biology, and medicine. Includes numerous real-world examples demonstrating how bad construction technique can destroy the value of classifications and ontologies Explains how we define and understand the relationships among the classes within a classification, and how the properties of a class are inherited by its subclasses. Describes ontologies, and how they differ from classifications. Explains those conditions under which ontologies are useful. Explains how statements of meaning are properly expressed as triples. Shows how triples can be specified by popular semantic languages. Explains how triplestores (large collections of triples) can be usefully linked to classifications and ontologies. Demonstrates how classifications, ontologies, and triplestores are modeled by modern object-oriented languages. Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88930429 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=549858
Titre : Differential Equations with Mathematica Ed. 5 Type de document : e-book Auteurs : Martha L. ABELL Editeur : ELSEVIER SCIENCE Année de publication : 2022 ISBN/ISSN/EAN : 9780128241608 Note générale : copyrighted Langues : Anglais (eng) Résumé : Differential Equations with Mathematica, Fifth Edition uses the fundamental concepts of the popular platform to solve (analytically, numerically, and/or graphically) differential equations of interest to students, instructors, and scientists. Mathematica’s diversity makes it particularly well suited to performing calculations encountered when solving many ordinary and partial differential equations. In some cases, Mathematica’s built-in functions can immediately solve a differential equation by providing an explicit, implicit, or numerical solution. In other cases, Mathematica can be used to perform the calculations encountered when solving a differential equation. Because one goal of elementary differential equations courses is to introduce students to basic methods and algorithms so that they gain proficiency in them, nearly every topic covered this book introduces basic commands, also including typical examples of their application. A study of differential equations relies on concepts from calculus and linear algebra, so this text also includes discussions of relevant commands useful in those areas. In many cases, seeing a solution graphically is most meaningful, so the book relies heavily on Mathematica’s outstanding graphics capabilities. Demonstrates how to take advantage of the advanced features of Mathematica Introduces the fundamental theory of ordinary and partial differential equations using Mathematica to solve typical problems of interest to students, instructors, scientists, and practitioners in many fields Showcases practical applications and case studies drawn from biology, physics, and engineering Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88930444 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=549374 Digital Innovation for Healthcare in COVID-19 Pandemic: Strategies and Solutions / Patricia Ordóñez De PABLOS / ELSEVIER SCIENCE (2022)PermalinkPermalinkEnsuring Global Food Safety : Exploring Global Harmonization Ed. 2 / Aleksandra MARTINOVIC / ELSEVIER SCIENCE (2022)PermalinkPermalinkPermalinkImproving Sustainable Viticulture and Winemaking Practices / J. Miguel COSTA / ELSEVIER SCIENCE (2022)PermalinkPermalinkMachine Learning for Biometrics : Concepts, Algorithms and Applications / Partha Pratim SARANGI / ELSEVIER SCIENCE (2022)PermalinkMeasuring the User Experience : Collecting, Analyzing, and Presenting UX Metrics Ed. 3 / Bill ALBERT / ELSEVIER SCIENCE (2022)PermalinkMeeting the Challenges of Data Quality Management / Laura SEBASTIAN-COLEMAN / ELSEVIER SCIENCE (2022)PermalinkPrinciples of Economics and Management for Manufacturing Engineering / D. R. KIRAN / ELSEVIER SCIENCE (2022)PermalinkPermalinkPermalinkWeb-Scale Discovery Services : Principles, Applications, Discovery Tools and Development Hypotheses / Roberto RAIELI / ELSEVIER SCIENCE (2022)PermalinkPermalinkPermalinkPermalinkArtificial Intelligence and Big Data Analytics for Smart Healthcare / Miltiadis LYTRAS / ELSEVIER SCIENCE (2021)PermalinkBasic Statistics with R : Reaching Decisions with Data / Stephen C. LOFTUS / ELSEVIER SCIENCE (2021)PermalinkBig Data's Threat to Liberty : Surveillance, Nudging, and the Curation of Information / Henrik Skaug SAETRA / ELSEVIER SCIENCE (2021)PermalinkCircular Economy and Sustainability : Volume 2: Environmental Engineering / Alexandros STEFANAKIS / ELSEVIER SCIENCE (2021)PermalinkCognitive Big Data Intelligence with a Metaheuristic Approach / Sushruta MISHRA / ELSEVIER SCIENCE (2021)PermalinkCOVID-19: Tackling Global Pandemics through Scientific and Social Tools / S. CHATTERJEE / ELSEVIER SCIENCE (2021)PermalinkPermalinkPermalinkData, Statistics, and Useful Numbers for Environmental Sustainability : Bringing the Numbers to Life / Benoit CUSHMAN-ROISIN / ELSEVIER SCIENCE (2021)PermalinkDriving Science Information Discovery in the Digital Age / Svetla BAYKOUCHEVA / ELSEVIER SCIENCE (2021)PermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkHighway Engineering : Planning, Design, and Operations Ed. 2 / Daniel J. FINDLEY / ELSEVIER SCIENCE (2021)PermalinkInnovation Dynamics and Policy in the Energy Sector : Building Global Energy Markets, Institutions, Public Policy, Technology and Culture on the Texan Innovation Example / Milton L. HOLLOWAY / ELSEVIER SCIENCE (2021)PermalinkPermalinkIntelligent Systems and Learning Data Analytics in Online Education / Santi CABALLÉ / ELSEVIER SCIENCE (2021)PermalinkIntroduction to Robust Estimation and Hypothesis Testing Ed. 5 / Rand R. WILCOX / ELSEVIER SCIENCE (2021)PermalinkIntroduction to Robust Estimation and Hypothesis Testing Ed. 5 / Rand R. WILCOX / ELSEVIER SCIENCE (2021)PermalinkPermalinkLibraries, Digital Information, and COVID : Practical Applications and Approaches to Challenge and Change / David BAKER / ELSEVIER SCIENCE (2021)PermalinkMachine Learning and Data Science in the Oil and Gas Industry : Best Practices, Tools, and Case Studies / Patrick BANGERT / ELSEVIER SCIENCE (2021)PermalinkMachine Learning Guide for Oil and Gas Using Python : A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications / Hoss BELYADI / ELSEVIER SCIENCE (2021)PermalinkPermalinkManaging Wine Quality : Volume 1: Viticulture and Wine Quality Ed. 2 / Andrew G. REYNOLDS / ELSEVIER SCIENCE (2021)PermalinkManaging Wine Quality : Volume 2: Oenology and Wine Quality Ed. 2 / Andrew G. REYNOLDS / ELSEVIER SCIENCE (2021)PermalinkPermalinkPermalinkPermalinkNew Optimization Algorithms and their Applications : Atom-Based, Ecosystem-Based and Economics-Based / Zhenxing ZHANG / ELSEVIER SCIENCE (2021)PermalinkPermalinkPreparing a Workforce for the New Blue Economy : People, Products and Policies / Liesl HOTALING / ELSEVIER SCIENCE (2021)PermalinkPrivate Equity and Venture Capital in Europe : Markets, Techniques, and Deals Ed. 3 / Stefano CASELLI / ELSEVIER SCIENCE (2021)PermalinkPrivate Equity and Venture Capital in Europe : Markets, Techniques, and Deals Ed. 3 / Stefano CASELLI / ELSEVIER SCIENCE (2021)PermalinkPermalinkPermalinkRisk Management in the Oil and Gas Industry : Offshore and Onshore Concepts and Case Studies / Jr Gerardo Portela Da PONTE / ELSEVIER SCIENCE (2021)PermalinkSabermetrics : Baseball, Steroids, and How the Game has Changed Over the Past Two Generations / Gabriel B. COSTA / ELSEVIER SCIENCE (2021)PermalinkPermalinkStrengthening Disaster Risk Governance to Manage Disaster Risk / Jose Manuel MENDES / ELSEVIER SCIENCE (2021)PermalinkPermalinkSustainable Resource Management : Modern Approaches and Contexts / Chaudhery Mustansar HUSSAIN / ELSEVIER SCIENCE (2021)PermalinkPermalinkPermalinkPermalinkThe Handbook of Reliability, Maintenance, and System Safety through Mathematical Modeling / Amit KUMAR / ELSEVIER SCIENCE (2021)PermalinkPermalinkThe Natural Language for Artificial Intelligence / Dioneia Motta MONTE-SERRAT / ELSEVIER SCIENCE (2021)PermalinkPermalinkThinking Machines : Machine Learning and Its Hardware Implementation / Shigeyuki TAKANO / ELSEVIER SCIENCE (2021)PermalinkPermalinkWhisky and Other Spirits : Technology, Production and Marketing Ed. 3 / Graham STEWART / ELSEVIER SCIENCE (2021)PermalinkPermalinkAlgorithmic Trading Methods : Applications Using Advanced Statistics, Optimization, and Machine Learning Techniques Ed. 2 / Robert KISSELL / ELSEVIER SCIENCE (2020)PermalinkPermalinkAutomation and Its Macroeconomic Consequences : Theory, Evidence, and Social Impacts / Klaus PRETTNER / ELSEVIER SCIENCE (2020)PermalinkA Beginner's Guide to Data Agglomeration and Intelligent Sensing / Amartya MUKHERJEE / ELSEVIER SCIENCE (2020)PermalinkPermalinkBuilding the Future of Food Safety Technology : Blockchain and Beyond / Darin DETWILER / ELSEVIER SCIENCE (2020)PermalinkPermalinkCase Studies on Food Experiences in Marketing, Retail, and Events / Susanne DOPPLER / ELSEVIER SCIENCE (2020)PermalinkCloud Control Systems : Analysis, Design and Estimation / Magdi S. MAHMOUD / ELSEVIER SCIENCE (2020)PermalinkPermalinkCredit Data and Scoring : The First Triumph of Big Data and Big Algorithms / Eric ROSENBLATT / ELSEVIER SCIENCE (2020)PermalinkData Democracy : At the Nexus of Artificial Intelligence, Software Development, and Knowledge Engineering / Feras A. BATARSEH / ELSEVIER SCIENCE (2020)PermalinkDeep Learning for Data Analytics : Foundations, Biomedical Applications, and Challenges / Himansu DAS / ELSEVIER SCIENCE (2020)PermalinkDesigning with the Mind in Mind : Simple Guide to Understanding User Interface Design Guidelines Ed. 3 / Jeff JOHNSON / ELSEVIER SCIENCE (2020)PermalinkEconomic Effects of Natural Disasters : Theoretical Foundations, Methods, and Tools / Taha CHAIECHI / ELSEVIER SCIENCE (2020)PermalinkPermalinkEnhancing Disaster Preparedness : From Humanitarian Architecture to Community Resilience / A. Nuno MARTINS / ELSEVIER SCIENCE (2020)PermalinkEnvironmental, Social, and Governance (ESG) Investing : A Balanced Analysis of the Theory and Practice of a Sustainable Portfolio / John HILL / ELSEVIER SCIENCE (2020)PermalinkPermalinkPermalinkFuture Directions in Digital Information : Predictions, Practice, Participation / David BAKER / ELSEVIER SCIENCE (2020)PermalinkPermalinkGlobal Environmental Sustainability : Case Studies and Analysis of the United Nations’ Journey toward Sustainable Development / Choy Yee KEONG / ELSEVIER SCIENCE (2020)PermalinkPermalinkA Guide to Econometric Methods for the Energy-Growth Nexus / Angeliki MENEGAKI / ELSEVIER SCIENCE (2020)PermalinkPermalinkImplementing the Circular Economy for Sustainable Development / Hans WIESMETH / ELSEVIER SCIENCE (2020)PermalinkPermalinkIntroduction to International Disaster Management Ed. 4 / Damon P. COPPOLA / ELSEVIER SCIENCE (2020)PermalinkIntroduction to International Disaster Management Ed. 4 / Damon P. COPPOLA / ELSEVIER SCIENCE (2020)PermalinkPermalinkPermalinkPermalinkPermalinkPractical Machine Learning for Data Analysis Using Python / Abdulhamit SUBASI / ELSEVIER SCIENCE (2020)PermalinkPermalinkPermalinkStudent-Managed Investment Funds : Organization, Policy, and Portfolio Management Ed. 2 / Brian BRUCE / ELSEVIER SCIENCE (2020)PermalinkStudent-Managed Investment Funds : Organization, Policy, and Portfolio Management Ed. 2 / Brian BRUCE / ELSEVIER SCIENCE (2020)PermalinkTARP and other Bank Bailouts and Bail-Ins around the World : Connecting Wall Street, Main Street, and the Financial System / Allen N. BERGER / ELSEVIER SCIENCE (2020)PermalinkPermalinkPermalinkPermalinkPermalinkUnderstanding Disaster Risk : A Multidimensional Approach / Pedro Pinto SANTOS / ELSEVIER SCIENCE (2020)PermalinkPermalinkPermalinkValuing and Investing in Equities : CROCI: Cash Return on Capital Investment / Francesco CURTO / ELSEVIER SCIENCE (2020)PermalinkPermalinkPermalinkApplied Statistics for Environmental Science with R / Abbas F. M. AL-KARKHI / ELSEVIER SCIENCE (2019)PermalinkApplied Time Series Analysis : A Practical Guide to Modeling and Forecasting / Terence C. MILLS / ELSEVIER SCIENCE (2019)PermalinkPermalinkPermalinkBusiness Process Change : A Business Process Management Guide for Managers and Process Professionals Ed. 4 / Paul HARMON / ELSEVIER SCIENCE (2019)PermalinkBuying and Selling the Environment : How to Design and Implement a PES Scheme / Gabriela SCHEUFELE / ELSEVIER SCIENCE (2019)PermalinkClimate Adaptation Engineering : Risks and Economics for Infrastructure Decision-Making / Emilio BASTIDAS-ARTEAGA / ELSEVIER SCIENCE (2019)PermalinkPermalinkConsumer, Prosumer, Prosumager : How Service Innovations will Disrupt the Utility Business Model / Fereidoon P. SIOSHANSI / ELSEVIER SCIENCE (2019)PermalinkPermalinkCrowdfunding : Fundamental Cases, Facts, and Insights / Douglas J. CUMMING / ELSEVIER SCIENCE (2019)PermalinkData Architecture: A Primer for the Data Scientist : A Primer for the Data Scientist Ed. 2 / W. H. INMON / ELSEVIER SCIENCE (2019)PermalinkData Governance : How to Design, Deploy, and Sustain an Effective Data Governance Program Ed. 2 / John LADLEY / ELSEVIER SCIENCE (2019)PermalinkPermalinkDeep Learning and Parallel Computing Environment for Bioengineering Systems / Arun Kumar SANGAIAH / ELSEVIER SCIENCE (2019)PermalinkPermalinkDigital Asset Valuation and Cyber Risk Measurement : Principles of Cybernomics / Keyun RUAN / ELSEVIER SCIENCE (2019)PermalinkElements of Numerical Mathematical Economics with Excel : Static and Dynamic Optimization / Giovanni ROMEO / ELSEVIER SCIENCE (2019)PermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkHandbook of Behavioral Economics - Foundations and Applications 2 / B. Douglas BERNHEIM / ELSEVIER SCIENCE (2019)PermalinkPermalinkPermalinkPermalinkPermalinkICT-Driven Economic and Financial Development : Analyses of European Countries / Ewa LECHMAN / ELSEVIER SCIENCE (2019)PermalinkPermalinkIntroduction to Algorithms for Data Mining and Machine Learning / Xin-She YANG / ELSEVIER SCIENCE (2019)PermalinkJapan's Quest for Nuclear Energy and the Price It Has Paid : Accidents, Consequences, and Lessons Learned for the Global Nuclear Industry / Noriko Hikosaka BEHLING / ELSEVIER SCIENCE (2019)PermalinkLiengme's Guide to Excel 2016 for Scientists and Engineers : (Windows and Mac) / Bernard LIENGME / ELSEVIER SCIENCE (2019)PermalinkMeasuring Economic Growth and Productivity : Foundations, KLEMS Production Models, and Extensions / Barbara FRAUMENI / ELSEVIER SCIENCE (2019)PermalinkNetworking Games : Network Forming Games and Games on Networks / Vladimir MAZALOV / ELSEVIER SCIENCE (2019)PermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkSustainable Power Generation : Current Status, Future Challenges, and Perspectives / Nikolay BELYAKOV / ELSEVIER SCIENCE (2019)PermalinkSustainable Resource Recovery and Zero Waste Approaches / Mohammad TAHERZADEH / ELSEVIER SCIENCE (2019)PermalinkPermalinkPermalinkPermalinkPermalinkPermalinkTurnaround Management for the Oil, Gas, and Process Industries : A Project Management Approach / Robert Bruce HEY / ELSEVIER SCIENCE (2019)PermalinkUnderwriting Commercial Real Estate in a Dynamic Market : Case Studies / Christian REDFEARN / ELSEVIER SCIENCE (2019)PermalinkPermalinkWhat Went Wrong? : Case Histories of Process Plant Disasters and How They Could Have Been Avoided Ed. 6 / Trevor KLETZ / ELSEVIER SCIENCE (2019)PermalinkAgroecosystem Diversity : Reconciling Contemporary Agriculture and Environmental Quality / Gilles LEMAIRE / ELSEVIER SCIENCE (2018)PermalinkAir Traffic Management : Economics, Regulation and Governance / Margaret ARBLASTER / ELSEVIER SCIENCE (2018)PermalinkAn Overview of FDA Regulated Products : From Drugs and Cosmetics to Food and Tobacco / Eunjoo PACIFICI / ELSEVIER SCIENCE (2018)PermalinkBecoming Metric-Wise : A Bibliometric Guide for Researchers / Ronald ROUSSEAU / ELSEVIER SCIENCE (2018)PermalinkBicycling for Transportation : An Evidence-Base for Communities / Melissa BOPP / ELSEVIER SCIENCE (2018)PermalinkPermalinkPermalinkPermalinkPermalinkPermalinkChanging Climate and Resource use Efficiency in Plants / Amitav BHATTACHARYA / ELSEVIER SCIENCE (2018)PermalinkPermalinkCircular Economy in Textiles and Apparel : Processing, Manufacturing, and Design / Subramanian Senthilkannan MUTHU / ELSEVIER SCIENCE (2018)PermalinkConversations with Leading Academic and Research Library Directors : International Perspectives on Library Management / Patrick LO / ELSEVIER SCIENCE (2018)PermalinkPermalinkPermalinkDigital Humanities, Libraries, and Partnerships : A Critical Examination of Labor, Networks, and Community / Robin KEAR / ELSEVIER SCIENCE (2018)Permalink
LIBRARY - Campus Rouen
NEOMA Business School
pmb
-
59 Rue Taittinger, 51100 Reims
-
00 33 (0)3 26 77 46 15
Library Campus Reims
-
1 Rue du Maréchal Juin, BP 215
76825 Mont Saint Aignan cedex -
00 33 (0)2 32 82 58 26