Get the domain knowledge you need to develop real-world business apps for and in the cloud. You’ll see how Oracle APEX has made the life of web developers much easier and how it helps you create web-based data-centric applications easily and instantly without writing screeds of code.In Cloud Computing Using Oracle Application Express, you will develop a complete general ledger accounting system named the Cloud Accountant which will be accessible through a variety of devices including desktops, laptops, and the latest smartphones. This new edition also incorporates the new application page creation process, which differs from the previous version. You’ll cover other new areas, such as the updated UI elements and properties, and the interactive grid. Besides the development of a full application that you can deploy in your organization, the book teaches many new techniques to further enhance your APEX development skills.What You Will LearnDiscover new development techniques for APEX developersDevelop cloud-based ERP applicationsBuild a cloud-based application on Oracle APEXIntegrate the free JasperReports server and report designing tool with Oracle APEXWho This Book Is ForWeb developers who possess some working knowledge of Oracle Application Express, and developers who have been using Oracle Forms and now wish to use their existing SQL and PL/SQL expertise.
Автор: Srikanta Patnaik Название: Recent Developments in Intelligent Nature-Inspired Computing ISBN: 1522523227 ISBN-13(EAN): 9781522523222 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 27027.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presents the latest scholarly material on natural computation methods and applications in diverse fields. Highlighting multidisciplinary studies on swarm intelligence, global optimization, and group technology, this publication is an ideal reference source for professionals, researchers, scholars, and engineers interested in the latest developments in computer science methodologies.
Автор: Leandro Nunes de Castro Название: Nature-Inspired Computing Design, Development, and Applications ISBN: 1466615745 ISBN-13(EAN): 9781466615748 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 35759.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Explores all the main areas of natural computing, from methods to computationally synthesized natural phenomena, to computing paradigms based on natural materials. This volume is comprised of ideas and research from nature to develop computational systems or materials to perform computation.
Описание: The digital age is ripe with emerging advances and applications in technological innovations. Mimicking the structure of complex systems in nature can provide new ideas on how to organize mechanical and personal systems.The Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms is an essential scholarly resource on current algorithms that have been inspired by the natural world. Featuring coverage on diverse topics such as cellular automata, simulated annealing, genetic programming, and differential evolution, this reference publication is ideal for scientists, biological engineers, academics, students, and researchers that are interested in discovering what models from nature influence the current technology-centric world.
Автор: Mellal, Mohamed Arezki Название: Nature-Inspired Computing Paradigms In Systems ISBN: 012823749X ISBN-13(EAN): 9780128237496 Издательство: Elsevier Science Рейтинг: Цена: 15487.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Nature-Inspired Computing Paradigms in Systems: Reliability, Availability, Maintainability, Safety and Cost (RAMS+C) and Prognostics and Health Management (PHM) covers several areas that include bioinspired techniques and optimization approaches for system dependability.
The book addresses the issue of integration and interaction of the bioinspired techniques in system dependability computing so that intelligent decisions, design, and architectures can be supported. It brings together these emerging areas under the umbrella of bio- and nature-inspired computational intelligence.
The primary audience of this book includes experts and developers who want to deepen their understanding of bioinspired computing in basic theory, algorithms, and applications. The book is also intended to be used as a textbook for masters and doctoral students who want to enhance their knowledge and understanding of the role of bioinspired techniques in system dependability.
Автор: Patnaik Srikanta, Yang Xin-She, Nakamatsu Kazumi Название: Nature-Inspired Computing and Optimization: Theory and Applications ISBN: 3319845225 ISBN-13(EAN): 9783319845227 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book also introduces a wide range of algorithms, including the ant colony optimization, the bat algorithm, genetic algorithms, the collision-based optimization algorithm, the flower pollination algorithm, multi-agent systems and particle swarm optimization.
Описание: This book provides a practical guide to applying soft-computing methods to interpret geophysical data. It discusses the design of neural networks with Matlab for geophysical data, as well as fuzzy logic and neuro-fuzzy concepts and their applications. In addition, it describes genetic algorithms for the automatic and/or intelligent processing and interpretation of geophysical data.
Автор: Dey Nilanjan, Ashour Amira S., Bhattacharyya Siddhartha Название: Applied Nature-Inspired Computing: Algorithms and Case Studies ISBN: 9811392625 ISBN-13(EAN): 9789811392627 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents a cutting-edge research procedure in the Nature-Inspired Computing (NIC) domain and its connections with computational intelligence areas in real-world engineering applications. It introduces readers to a broad range of algorithms, such as genetic algorithms, particle swarm optimization, the firefly algorithm, flower pollination algorithm, collision-based optimization algorithm, bat algorithm, ant colony optimization, and multi-agent systems. In turn, it provides an overview of meta-heuristic algorithms, comparing the advantages and disadvantages of each. Moreover, the book provides a brief outline of the integration of nature-inspired computing techniques and various computational intelligence paradigms, and highlights nature-inspired computing techniques in a range of applications, including: evolutionary robotics, sports training planning, assessment of water distribution systems, flood simulation and forecasting, traffic control, gene expression analysis, antenna array design, and scheduling/dynamic resource management.
Автор: Carlos Coello Coello; Clarisse Dhaenens; Laetitia Название: Advances in Multi-Objective Nature Inspired Computing ISBN: 3642262384 ISBN-13(EAN): 9783642262388 Издательство: Springer Цена: 19589.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Multi-Objective Combinatorial Optimization: Problematic and Context.- Approximating Pareto-Optimal Sets Using Diversity Strategies in Evolutionary Multi-Objective Optimization.- On the Velocity Update in Multi-Objective Particle Swarm Optimizers.- Approaching Dynamic Multi-Objective Optimization Problems by Using Parallel Evolutionary Algorithms.- ParadisEO-MOEO: A Software Framework for Evolutionary Multi-Objective Optimization.- The Multiobjective Traveling Salesman Problem: A Survey and a New Approach.- On the Performance of Local Search for the Biobjective Traveling Salesman Problem.- A Bi-objective Metaheuristic for Disaster Relief Operation Planning.
Описание: With the rapid growth of technology in society, communication networks have become a heavily researched topic. Implementing these advanced systems is a challenge, however, due to the abundance of optimization problems within these networks. The use of meta-heuristic algorithms and nature-inspired computing has become a prevalent technique among researchers for solving these complex problems within communication networks. Despite its popularity, this specific computing technique lacks the appropriate amount of research that is needed for professionals to grasp a definite understanding. Nature-Inspired Computing Applications in Advanced Communication Networks is a collection of innovative research on the methods and applications of natural computation techniques and algorithms within communication systems such as wireless sensor networks, vehicular adhoc networks, and internet of things. While highlighting topics including mobile sensor deployment, routing optimization, and sleep scheduling, this book is ideally designed for researchers, network professionals, computer scientists, mathematicians, developers, scholars, educators, and students seeking to enhance their understanding of nature-inspired computing and its solutions within various advanced communication networks.
Автор: Rout Minakhi, Rout Jitendra Kumar, Das Himansu Название: Nature Inspired Computing for Data Science ISBN: 3030338193 ISBN-13(EAN): 9783030338190 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: An Efficient Classification of Tuberous Sclerosis Disease Using Nature Inspired PSO and ACO based Optimized Neural Network.- Mid-term Home Health Care Planning Problem with Flexible Departing Way for Caregivers.- Performance Analysis of NASNet on Unconstrained Ear Recognition.- Optimization of performance parameter for Vehicular Ad-hoc NETwork (VANET) using Swarm Intelligence.- Development of Fast and Reliable Nature-Inspired Computing for Supervised Learning in High-Dimensional Data.- Application of Genetic Algorithms for Unit Commitment and Economic Dispatch Problems in microgrids.- Application of Genetic Algorithms for Designing Micro-Hydro Power Plants in Rural Isolated Areas - a case study in San Miguelito, Honduras.- Performance Evaluation of Different Machine Learning Methods and Deep-Learning Based Convolutional Neural Network for Health Decision Making.- Clustering Bank Customer Complaints on Social Media for Analytical CRM via Multi-Objective Particle Swarm Optimization.- Benchmarking Gene Selection Techniques for Prediction of Distinct Carcinoma from Gene Expression Data: A Computational Study.- An Evolutionary Algorithm based Hybrid Parallel Framework for Asia Foreign Exchange Rate prediction.
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