Описание: The purpose of this edited book is to provide the relevant technologies and case studies in a concise format that will simplify and streamline the processing of blockchain. The goal is for the contents of this book to change the way business transformations are conducting in economic and social systems.
Описание: Diagnostic Test Approaches to Machine Learning and Commonsense Reasoning Systems surveys, analyzes, and compares the most effective algorithms for mining all kinds of logical rules. Global academics and professionals in related fields have come together to create this unique knowledge-sharing resources which will serve as a forum for future collaborations.
Описание: * Provides a general framework for structurally analyzing graphs by bringing together known and novel approaches on graph classes and graph measures for graph classification. * The proposed methods are applied to different real data sets to demonstrate their ability.
Автор: Valliappa Lakshmanan; Eric Gilleland; Amy McGovern Название: Machine Learning and Data Mining Approaches to Climate Science ISBN: 3319172190 ISBN-13(EAN): 9783319172194 Издательство: Springer Рейтинг: Цена: 26122.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents innovative work in Climate Informatics, a new field that reflects the application of data mining methods to climate science, and shows where this new and fast growing field is headed.
Описание: Machine Learning and Statistical Modeling Approaches to Image Retrieval describes several approaches of integrating machine learning and statistical modeling into an image retrieval and indexing system that demonstrates promising results.
Описание: Systems theory and stability concepts.- Main approaches to nonlinear control.- Main approaches to nonlinear estimation.- Linearizing control and filtering for nonlinear dynamics in financial systems.- Nonlinear optimal control and filtering for financial systems.- Kalman Filtering Approach for detection of option mispricing inthe Black-Scholes PDE.- Kalman Filtering approach to the detection of option mispricing inelaborated PDE finance models.- Corporations' default probability forecasting using theDerivative-free nonlinear Kalman Filter.- Validation of financial options models using neural networks with invariance to Fourier transform.- Statistical validation of financial forecasting tools with generalized likelihood ratio approaches.- Distributed validation of option price forecasting tools using a statistical fault diagnosis approach.- Stabilization of financial systems dynamics through feedbackcontrol of the Black-Scholes PDE.- Stabilization of the multi-asset Black-Scholes PDE using differentialflatness theory.- Stabilization of commodities pricing PDE using differential flatnesstheory.- Stabilization of mortgage price dynamics using differential flatness theory.v>
Автор: Roberto Bonfigli; Stefano Squartini Название: Machine Learning Approaches to Non-Intrusive Load Monitoring ISBN: 3030307816 ISBN-13(EAN): 9783030307813 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Research on Smart Grids has recently focused on the energy monitoring issue, with the objective of maximizing the user consumption awareness in building contexts on the one hand, and providing utilities with a detailed description of customer habits on the other.
Автор: Malarvel Muthukumaran, Nayak Soumya Ranjan, Pattnaik Prasant Kumar Название: Machine Vision Inspection Systems, Machine Learning-Based Approaches ISBN: 1119786096 ISBN-13(EAN): 9781119786092 Издательство: Wiley Рейтинг: Цена: 28979.00 р. Наличие на складе: Поставка под заказ.
Описание:
Machine Vision Inspection Systems (MVIS) is a multidisciplinary research field that emphasizes image processing, machine vision and, pattern recognition for industrial applications. Inspection techniques are generally used in destructive and non-destructive evaluation industry. Now a day's the current research on machine inspection gained more popularity among various researchers, because the manual assessment of the inspection may fail and turn into false assessment due to a large number of examining while inspection process.
This volume 2 covers machine learning-based approaches in MVIS applications and it can be employed to a wide diversity of problems particularly in Non-Destructive testing (NDT), presence/absence detection, defect/fault detection (weld, textile, tiles, wood, etc.), automated vision test & measurement, pattern matching, optical character recognition & verification (OCR/OCV), natural language processing, medical diagnosis, etc. This edited book is designed to address various aspects of recent methodologies, concepts, and research plan out to the readers for giving more depth insights for perusing research on machine vision using machine learning-based approaches.
Описание: This book focuses on the implementation of various elementary and advanced approaches in AI that can be used in various domains to solve real-time decision-making problems.
Описание: Face Recognition using Raspberry PI.- Features Extraction for Network Intrusion Detection using Genetic Algorithm(GA).- Chemical Sensing through Cogno-Monitoring System for Air Quality Evaluation.- 3 DOF Autonomous Control Analysis of an Quadcopter Using Artificial Neural Network.- Cognitive Demand Forecasting with Novel Features using Word2Vec and Session of the Day.- A Curvelet Transformer Based Computationally Efficient Speech Enhancement for Kalman Filter.- Dexterous Trashbot.- Automated Question Generation and Answer Verification using Visual Data.- Comprehensive Survey on Deep Learning Approaches in Predictive Business Process Monitoring.- Machine Learning Based Risk-Adaptive Access Control System to Identify Genuineness of the Requester.- An Approach to End to End Anonymity.- PHT and KELM Based Face Recognition.- Link Failure Detection in MANET: A Survey.- Review of Low Power Techniques for Neural Recording Applications.- Machine Learning Techniques for Thyroid Disease Diagnosis: A Systematic Review.- Heuristic Approach to Evaluate the Performance of Optimization Algorithms in VLSI Floor Planning for ASIC design.- Enhancement in Teaching Quality Methodology by Predicting Attendance using Machine Learning Technique.- Improvement in Extended Object tracking with the Vision-Based Algorithm.
Описание: By 2020, experts forecast that up to 28 billion devices will be connected to the Internet, with only one third of them being computers, smartphones, smartwatches, and tablets. The remaining two thirds will be other “devices” – sensors, terminals, household appliances, thermostats, televisions, automobiles, production machinery, urban infrastructure and many other “things”, which traditionally have not been Internet enabled.This “Internet of Things” (IoT) represents a remarkable transformation of the way in which our world will soon interact. Much like the World Wide Web connected computers to networks, and the next evolution mobile devices connected people to the Internet and other people, IoT looks poised to interconnect devices, people, environments, virtual objects and machines in ways that only science fiction writers could have imagined. In a nutshell the Internet of Things (IoT) is the convergence of connecting people, things, data and processes; it is transforming our life, business and everything in between. Secure and Smart IoT explores many aspects of the Internet of Things and explains many of the complicated principles of IoT and the new advancements in IoT including using Fog Computing, AI and Blockchain technology.
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