Recent Submissions

  • Road Traffic Modeling and Management: Using Statistical Monitoring and Deep Learning

    Harrou, Fouzi; Zeroual, Abdelhafid; Hittawe, Mohamad; Sun, Ying (Elsevier, 2022) [Book]
    Road Traffic Modeling and Management: Using Statistical Monitoring and Deep Learning provides a framework for understanding and enhancing road traffic monitoring and management. The book examines commonly used traffic analysis methodologies as well the emerging methods that use deep learning methods. Other sections discuss how to understand statistical models and machine learning algorithms and how to apply them to traffic modeling, estimation, forecasting and traffic congestion monitoring. Providing both a theoretical framework along with practical technical solutions, this book is ideal for researchers and practitioners who want to improve the performance of intelligent transportation systems.
  • Rebuilding Coral Reefs: A Decadal Grand Challenge

    Knowlton, Nancy; Corcoran, Emily; Felis, Thomas; Ferse, Sebastian; de Goeij, Jasper; Grottoli, Andréa; Harding, Simon; Kleypas, Joan; Mayfield, Anderson; Miller, Margaret; Obura, David; Osuka, Kennedy; Peixoto, Raquel S; Randall, Carly; Voolstra, Christian; Wells, Sue; Wild, Christian (International Coral Reef Society and Future Earth Coasts, 2021-07-20) [Report]
    This document is the work of a team assembled by the International Coral Reef Society (ICRS). The mission of ICRS is to promote the acquisition and dissemination of scientific knowledge to secure the future of coral reefs, including via relevant policy frameworks and decision-making processes. This document seeks to highlight the urgency of taking action to conserve and restore reefs through protection and management measures, to provide a summary of the most relevant and recent natural and social science that provides guidance on these tasks, and to highlight implications of these findings for the numerous discussions and negotiations taking place at the global level.
  • Sustainable Process Engineering

    Szekely, Gyorgy (De Gruyter, 2021-03-04) [Book]
    Sustainable process engineering is a methodology to design new and redesign existing processes that follow the principles of green chemistry and green engineering, and ultimately contribute to a sustainable development. The newest achievements of chemical engineering, opened new opportunities to design more efficient, safe, compact and environmentally benign chemical processes. The book provides a guide to sustainable process design applicable in various industrial fields.
  • Catalytic and Noncatalytic Upgrading of Oils

    (American Chemical Society, 2021-01-01) [Book]
  • Non-Euclidean Laguerre Geometry and Incircular Nets

    Bobenko, Alexander I.; Lutz, Carl O.R.; Pottmann, Helmut; Techter, Jan (Springer International Publishing, 2021) [Book]
    The first systematic introduction to non-Euclidean Laguerre geometry in the literature Demonstrates all features of Laguerre geometry in terms of one recent application: checkerboard incircular nets Beautifully illustrated by many render images
  • Advances in Air Conditioning Technologies

    Chua, Kian Jon; Islam, Md Raisul; Ng, Kim Choon; Shahzad, Muhammad Wakil (Springer Nature, 2021) [Book]
    This book highlights key recent developments in air conditioning technologies for cooling and dehumidification with the specific objectives to improve energy efficiency and to minimize environmental impact. Today, air conditioning, comprising cooling and dehumidification, is a necessity in commercial and residential buildings and even in many industrial processes. This book provides key update on recent developments in air conditioning systems, cooling cycles and innovative cooling/dehumidification technologies. Key technologies related to cooling include heat-driven absorption and adsorption cooling and water-based dew point evaporative cooling. Technologies connected with dehumidification involve new generations of adsorbent–desiccant dehumidifiers, liquid-based desiccants and membranes that sieve out water vapor from air. Losses in cooling cycles and thermo-economic analysis for a sustainable economy are also judiciously documented.
  • Dynamic Programming Multi-Objective Combinatorial Optimization

    Mankowski, Michal; Moshkov, Mikhail (Springer Nature, 2021) [Book]
    This book introduces a fairly universal approach to the design and analysis of exact optimization algorithms for multi-objective combinatorial optimization problems. It proposes the circuits without repetitions representing the sets of feasible solutions along with the increasing and strictly increasing cost functions as a model for such problems. The book designs the algorithms for multi-stage and bi-criteria optimization and for counting the solutions in the framework of this model. As applications, this book studies eleven known combinatorial optimization problems: matrix chain multiplication, global sequence alignment, optimal paths in directed graphs, binary search trees, convex polygon triangulation, line breaking (text justification), one-dimensional clustering, optimal bitonic tour, segmented least squares, optimization of matchings in trees, and 0/1 knapsack problem. The results presented are useful for researchers in combinatorial optimization. This book is also useful as the basis for graduate courses.
  • Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches

    Harrou, Fouzi; Sun, Ying; Hering, Amanda; Madakyaru, Muddu; Dairi, Abdelkader (Elsevier BV, 2021) [Book]
    Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches tackles multivariate challenges in process monitoring by merging the advantages of univariate and traditional multivariate techniques to enhance their performance and widen their practical applicability. The book proceeds with merging the desirable properties of shallow learning approaches – such as a one-class support vector machine and k-nearest neighbours and unsupervised deep learning approaches – to develop more sophisticated and efficient monitoring techniques. Finally, the developed approaches are applied to monitor many processes, such as waste-water treatment plants, detection of obstacles in driving environments for autonomous robots and vehicles, robot swarm, chemical processes (continuous stirred tank reactor, plug flow rector, and distillation columns), ozone pollution, road traffic congestion, and solar photovoltaic systems.
  • Riemann Problems and Jupyter Solutions

    Ketcheson, David I.; LeVeque, Randall J.; del Razo, Mauricio J. (Society for Industrial & Applied Mathematics (SIAM), 2020-06-26) [Book]
    This book addresses an important class of mathematical problems—the Riemann problem—for first-order hyperbolic partial differential equations (PDEs), which arise when modeling wave propagation in applications such as fluid dynamics, traffic flow, acoustics, and elasticity. The solution of the Riemann problem captures essential information about these models and is the key ingredient in modern numerical methods for their solution. This book covers the fundamental ideas related to classical Riemann solutions, including their special structure and the types of waves that arise, as well as the ideas behind fast approximate solvers for the Riemann problem. The emphasis is on the general ideas, but each chapter delves into a particular application. Riemann Problems and Jupyter Solutions - is available in electronic form as a collection of Jupyter notebooks that contain executable computer code and interactive figures and animations, allowing readers to grasp how the concepts presented are affected by important parameters and to experiment by varying those parameters themselves; - is the only interactive book focused entirely on the Riemann problem; and - develops each concept in the context of a specific physical application, helping readers apply physical intuition in learning mathematical concepts. Graduate students and researchers working in the analysis and/or numerical solution of hyperbolic PDEs will find this book of interest. This includes mathematicians, as well as scientists and engineers, working with applications like fluid dynamics, water waves, traffic modeling, or electromagnetism. Educators interested in developing instructional materials using Jupyter notebooks will also find this book useful. The book is appropriate for courses in Numerical Methods for Hyperbolic PDEs and Analysis of Hyperbolic PDEs, and it can be a great supplement for courses in computational fluid dynamics, acoustics, and gas dynamics.
  • Comparative Analysis of Deterministic and Nondeterministic Decision Trees

    Moshkov, Mikhail (Springer Nature, 2020-03-13) [Book]
    This book compares four parameters of problems in arbitrary information systems: complexity of problem representation and complexity of deterministic, nondeterministic, and strongly nondeterministic decision trees for problem solving. Deterministic decision trees are widely used as classifiers, as a means of knowledge representation, and as algorithms. Nondeterministic (strongly nondeterministic) decision trees can be interpreted as systems of true decision rules that cover all objects (objects from one decision class). This book develops tools for the study of decision trees, including bounds on complexity and algorithms for construction of decision trees for decision tables with many-valued decisions. It considers two approaches to the investigation of decision trees for problems in information systems: local, when decision trees can use only attributes from the problem representation; and global, when decision trees can use arbitrary attributes from the information system. For both approaches, it describes all possible types of relationships among the four parameters considered and discusses the algorithmic problems related to decision tree optimization. The results presented are useful for researchers who apply decision trees and rules to algorithm design and to data analysis, especially those working in rough set theory, test theory and logical analysis of data. This book can also be used as the basis for graduate courses.
  • Reservoir Simulations: Machine Learning and Modeling

    Sun, Shuyu; Zhang, Tao (Elsevier BV, 2020) [Book]
    Reservoir Simulation: Machine Learning and Modeling helps the engineer step into the current and most popular advances in reservoir simulation, learning from current experiments and speeding up potential collaboration opportunities in research and technology. This reference explains common terminology, concepts, and equations through multiple figures and rigorous derivations, better preparing the engineer for the next step forward in a modeling project and avoid repeating existing progress. Well-designed exercises, case studies and numerical examples give the engineer a faster start on advancing their own cases. Both computational methods and engineering cases are explained, bridging the opportunities between computational science and petroleum engineering. This book delivers a critical reference for today’s petroleum and reservoir engineer to optimize more complex developments.
  • Artificially Intelligent Nanomaterials

    Wang, Peng; Chang, Jian; Zhang, Lianbin (Wiley, 2019-11-08) [Book]

    Tainter, Joseph A.; Patzek, Tadeusz (Aracne editrice, 2019-11) [Book]
    Un modello che coniuga semplicità ed eleganza, proponendoci uno strumento efficace per affrontare una problematica emergente, è quello che fa la differenza, che può guadagnarsi un proprio spazio nella storia delle idee. Quanto detto, può facilmente essere riferito alla potente immagine che sta al centro di questo volume: la spirale energia complessità. Questo ci sembra costituire un valido motivo per proporre un’edizione italiana del lavoro di Tainter e Patzek, pubblicato per la prima volta negli Stati Uniti nel 2012, ma che ha retto ed è destinato a reggere egregiamente l’impatto del tempo, a dispetto del carattere estremamente volatile di un complesso di tematiche connesse con il caso studio prescelto (l’incidente petrolifero occorso nel Golfo del Messico nell’aprile del 2010).
  • Sustainable nanoscale engineering: From materials design to chemical processing

    (Elsevier BV, 2019-10-18) [Book]
    Sustainable Nanoscale Engineering: From Materials Design to Chemical Processing presents the latest on the design of nanoscale materials and their applications in sustainable chemical production processes. The newest achievements of materials science, in particular nanomaterials, opened new opportunities for chemical engineers to design more efficient, safe, compact and environmentally benign processes. These materials include metal-organic frameworks, graphene, membranes, imprinted polymers, polymers of intrinsic microporosity, nanoparticles, and nanofilms, to name a few. Topics discussed include gas separation, CO2 sequestration, continuous processes, waste valorization, catalytic processes, bioengineering, pharmaceutical manufacturing, supercritical CO2 technology, sustainable energy, molecular imprinting, graphene, nature inspired chemical engineering, desalination, and more.
  • Marine Metagenomics

    (Springer Nature, 2019-07-24) [Book]
    This book presents the state-of-art marine metagenome research and explains the method of marine metagenomic analysis in an easy-to-understand manner. Changes in the marine environment due to global warming and pollution have become a major global problem. Maintaining a healthy marine ecosystem requires advanced environmental monitoring and assessment systems. As such, the book presents a novel metagenomic monitoring method, which has been developed for comprehensive analyses of the DNA of microorganisms living in seawater to further our understanding of the dynamics of the marine environment. The book can be used as a primer for new researchers and as a manual on experimental methods.
  • Decision and Inhibitory Trees and Rules for Decision Tables with Many-valued Decisions

    Alsolami, Fawaz; Azad, Mohammad; Chikalov, Igor; Moshkov, Mikhail (Springer Nature, 2019-05-21) [Book]
    The results presented here (including the assessment of a new tool – inhibitory trees) offer valuable tools for researchers in the areas of data mining, knowledge discovery, and machine learning, especially those whose work involves decision tables with many-valued decisions. The authors consider various examples of problems and corresponding decision tables with many-valued decisions, discuss the difference between decision and inhibitory trees and rules, and develop tools for their analysis and design. Applications include the study of totally optimal (optimal in relation to a number of criteria simultaneously) decision and inhibitory trees and rules; the comparison of greedy heuristics for tree and rule construction as single-criterion and bi-criteria optimization algorithms; and the development of a restricted multi-pruning approach used in classification and knowledge representation.
  • Coral Reefs of the Red Sea

    (Springer Nature, 2019-05-07) [Book]
    This volume is a complete review and reference work for scientists, engineers, and students concerned with coral reefs in the Red Sea. It provides an up-to-date review on the geology, ecology, and physiology of coral reef ecosystems in the Red Sea, including data from most recent molecular studies. The Red Sea harbours a set of unique ecological characteristics, such as high temperature, high alkalinity, and high salinity, in a quasi-isolated environment. This makes it a perfect laboratory to study and understand adaptation in regard to the impact of climate change on marine ecosystems. This book can be used as a general reference, guide, or textbook.
  • Printed Flexible Sensors

    Nag, Anindya; Mukhopadhyay, Subhas Chandra; Kosel, Jürgen (Springer Nature, 2019) [Book]
    This book presents recent advances in the design, fabrication and implementation of flexible printed sensors. It explores a range of materials for developing the electrode and substrate parts of the sensors, on the basis of their electrical and mechanical characteristics. The sensors were processed using laser cutting and 3D printing techniques, and the sensors developed were employed in a number of healthcare, environmental and industrial applications, including: monitoring of physiological movements, respiration, salinity and nitrate measurement, and tactile sensing. The type of sensor selected for each application depended on its dimensions, robustness and sensitivity. The sensors fabricated were also embedded in an IoT-based system, allowing them to be integrated into real-time applications.
  • Advanced Nanoelectronics

    Hussain, Muhammad Mustafa (Wiley, 2018-12-17) [Book]
    Brings novel insights to a vibrant research area with high application potential - covering materials, physics, architecture, and integration aspects of future generation CMOS electronics technology.
  • A Survey on 3D Cameras: Metrological Comparison of Time-of-Flight, Structured-Light and Active Stereoscopy Technologies

    Giancola, Silvio; Valenti, Matteo; Sala, Remo (SpringerBriefs in Computer Science, Springer Nature, 2018-06-19) [Book]
    This book is a valuable resource to deeply understand the technology used in 3D cameras. In this book, the authors summarize and compare the specifications of the main 3D cameras available in the mass market. The authors present a deep metrological analysis of the main camera based on the three main technologies: Time-of-Flight, Structured-Light and Active Stereoscopy, and provide qualitative results for any user to understand the underlying technology within 3D camera, as well as practical guidance on how to get the most of them for a given application.

View more