Описание: Cambridge for DGB 2nd Edition is a four-level American English integrated skills series for the Upper Secondary public school market in Mexico. Its syllabus is strictly aligned to the national Direccion General del Bachillerato program. It is a series that offers teachers a hands-on and practical solution to teaching English in the classroom. It builds students` language skills from A1 to A2+ in the CEFR.
Автор: J. Joshua Thomas, Pinar Karagoz, B. Bazeer Ahamed, Название: Deep Learning Techniques and Optimization Strategies in Big Data Analytics ISBN: 1799811921 ISBN-13(EAN): 9781799811923 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 35897.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Many approaches have sprouted from artificial intelligence (AI) and produced major breakthroughs in the computer science and engineering industries. Deep learning is a method that is transforming the world of data and analytics. Optimization of this new approach is still unclear, however, and there's a need for research on the various applications and techniques of deep learning in the field of computing. Deep Learning Techniques and Optimization Strategies in Big Data Analytics is a collection of innovative research on the methods and applications of deep learning strategies in the fields of computer science and information systems. While highlighting topics including data integration, computational modeling, and scheduling systems, this book is ideally designed for engineers, IT specialists, data analysts, data scientists, engineers, researchers, academicians, and students seeking current research on deep learning methods and its application in the digital industry.
Автор: J. Joshua Thomas, Pinar Karagoz, B. Bazeer Ahamed, Pandian Vasant Название: Deep Learning Techniques and Optimization Strategies in Big Data Analytics ISBN: 179981193X ISBN-13(EAN): 9781799811930 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 27027.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Many approaches have sprouted from artificial intelligence (AI) and produced major breakthroughs in the computer science and engineering industries. Deep learning is a method that is transforming the world of data and analytics. Optimization of this new approach is still unclear, however, and there's a need for research on the various applications and techniques of deep learning in the field of computing. Deep Learning Techniques and Optimization Strategies in Big Data Analytics is a collection of innovative research on the methods and applications of deep learning strategies in the fields of computer science and information systems. While highlighting topics including data integration, computational modeling, and scheduling systems, this book is ideally designed for engineers, IT specialists, data analysts, data scientists, engineers, researchers, academicians, and students seeking current research on deep learning methods and its application in the digital industry.
Session 5: Data-driven co-design of communication, computing and control for IoT security
Design of a Force Balance Geophone Utilizing Bandwidth Extension and Data Acquisition Interface
Application of 3ds Max Technology in Archaeology
The Application of Virtual Reality Technology in ESP Teaching
Application of Simulation Method Based on Computer Bionic Design
The Implementation and Application of Computer Simulation Technology in PE Teaching
Construction of College Communities in the New Media Based on Network Environment
Political and Ideological Personnel Management Mode Based on Computer Network
Analysis of Mapping Knowledge Domain on Health and Wellness Tourism in the Perspective of Cite Space
Application of Smart Retail Mode in Suning.Com
Construction and Development of High-tech Smart City
Design and Implementation of Self-Service Tourism Management Information System Based on B/S Architecture
Chinese Culture Penetration in Teaching Chinese as a Foreign Language in the Era of Mobile Internet
Application and Outlook of Digital Media Technology in Smart Tourism
Accounting Informationization in Computer Network Environment
Mobile Phone GPS and Sensor Technology in College Students' Extracurricular Exercises
Design of Networking Network Model Based on Network Function Virtualization Technology
Intelligent Media Technology Empowered Brand Communication of Chinese Intangible Cultural Heritage
Construction Strategy of Smart English Teaching Platform from the Perspective of "Internet + Education"
Online Writing Effectiveness under the Blended Teaching Mode of Moscotech APP
A Narrative Environment Model for the Sustainability of Intangible Cultural Heritage under the 5G Era
Application Study of VPN on the Network of Hydropower Plant
Prediction of Technology Trend of Educational Robot Industry Based On Patent Map Analysis
Coal Handling System of Power Plant Based On PLC
Discussion on the Construction of Wireless Campus Network Based On SDN Architecture
Applicational Status Analysis of Artificial Intelligence Technology in Middle School Education and Teaching
Virtual Enterprise Partner Selection by Improved Analytic Hierarchy Process with Entropy Weight and Range Method
Research and implementation of Intelligent Tourism Guide System Based on cloud computing platform
Analysis of financial needs of new agricultural operators based on K-means clustering algorithm
Research on the application of virtual network technology in computer network security
Application of Bionics in Underwater Acoustic Covert Communication
Energy-saving and efficient underwater wireless sensor network security data aggregation model
False Data Filtering in Underwater Wireless Sensor Networks
Research on Underwater Bionic Covert Communication
Session 6: Authentication and access control for data usage in IoT
The Application of Virtual Reality Technology in Architectural Design
Computer-assisted Teaching and Cultivate Students' Innovative Thinking Ability
The Reform Progress and Practical Difficulties of State-owned Hospitals under Information Age―Case Analysis Based on the Reform in a Medical Institution of A Group in China
Financing Efficiency of SMEs in New Third Board Market in the Information Times
Application of Virtual Instrument Technology in Electronic Course Teaching
A Solution for Internet of Things based on Blockchain and Edge Computer
Discovery and Advice of Free Charging of Electronic Devices
Design and Implementation of Tourism Information Management System Based on .NET
A Computer Model for Decision of Equipment Maintenance Spare Parts Reserve
Session 1: Novel machine learning methods for IoT security
The Innovation of UI Design Courses in Higher Vocational Colleges Based on the Internet Perspective
Predicting the Getting-on and Getting-off Points Based on the Trafic Big Data
The Prediction analysis of Passengers Boarding and Alighting Points Based on the Big Data of Urban Traffic
Verifiable Random Number Based on B-Spline Curve
An Improved Particle Swarm Optimization Algorithm Based on DFC&HRS
Application and Practice of ID3 Algorithms in College Students' Education
Construction of Human Knee Joint Mechanics Model and Study on Mechanical Characteristics of Flexion movement based on neural network algorithm
Application of Artificial Intelligence Technology in Physical Fitness Test of College Students
Theoretical Research on College Students' Professional Literacy Design Based on Deep Learning
Artificial Intelligence is the Technical Guarantee of Network Security
Intelligent Question Answering System of Medical Knowledge Map Based on Deep Learning
Construction and Practice of Red Teaching Resources Based on Machine Learning
Reasonable Approach and Development Trend of Artificial Intelligence Sports Development
Returnee Migrant Workers' Entrepreneurship Based on Artificial Intelligence
Improvement of College Teachers' Teaching Ability under the Background of the Development of Artificial Intelligence Platform
Influence Factors of Using Modern Teaching Technology in the Classroom of Junior Middle School Teachers under the Background of Artificial Intelligence--Analysis Based on HLM
Analysis and Design of Personalized Learning System Based on Decision Tree Technology
Deep Learning Classification and Recognition Model Construction of Face Living Image Based on Multi-Feature Fusion
A Prediction Method of Blood Glucose Concentration Based On Nonlinear Auto-Regressive Model
Signal Processing Based On Machine Learning Optical Communication
Refined Management of Installation Engineering Cost based on Artificial Intelligence Technology
Application of Artificial Intelligence Technology in International Trade Finance
An Improved Genetic Algorithm for Vehicle Routing Problem
A Machine-Learning Based Store Layout Strategy in Shopping Mall
Risk Analysis in Online Peer-to-Peer Loaning Based on Machine Learning: A Decision Tree Implementation on PPDai.com
The Application of BP Neural Network in the Opioid Crisis
Design of Personalized Intelligent Learning Assistant System under Artificial Intelligence Background
Application of Artificial Intelligence in Intelligent Decision-making of Human Resource Allocation
Research on Early Warning of Security Risk of Hazardous Chemicals Storage Based on BP-PSO
The Application of Artificial Intelligence and Machine Learning in Financial Stability
Application of alternative routing configuration mechanism based on Genetic Algorithm in power communication network
Safety Situation Assessment of Underwater Nodes based on BP Neural Network
Session 2: Big data analytics for IoT security
The Innovation of College Counsellor's Work Based On Big Data Analysis
Analysis of India's Big Data Industry
The Application of Computer Virtual Technology in Modern Sports Training
The Research on the Development and Utilization of Hospital Archive Information in the Big Data Era
Integration and Optimization of College English Teaching Information Resources in the Context of Big Data
Discussion on the Training of Cross-border E-commerce Application Talents Based on the Internet Era
Level of Technology Innovation Development and Promotion Strategies of High Technology Industry in Hubei Province Based on Smart City
Intelligent machines are revolutionizing business.
Machine learning and data analytics are powering a wave of groundbreaking technologies. Is your company ready?
If you read nothing else on how intelligent machines are revolutionizing business, read these 10 articles. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you understand how these technologies work together, how to adopt them, and why your strategy can't ignore them.
In this book you'll learn how:
Data science, driven by artificial intelligence and machine learning, is yielding unprecedented business insights
Blockchain has the potential to restructure the economy
Drones and driverless vehicles are becoming essential tools
3-D printing is making new business models possible
Augmented reality is transforming retail and manufacturing
Smart speakers are redefining the rules of marketing
Humans and machines are working together to reach new levels of productivity
This collection of articles includes "Artificial Intelligence for the Real World," by Thomas H. Davenport and Rajeev Ronanki; "Stitch Fix's CEO on Selling Personal Style to the Mass Market," by Katrina Lake; "Algorithms Need Managers, Too," by Michael Luca, Jon Kleinberg, and Sendhil Mullainathan; "Marketing in the Age of Alexa," by Niraj Dawar; "Why Every Organization Needs an Augmented Reality Strategy," by Michael E. Porter and James E. Heppelmann; "Drones Go to Work," by Chris Anderson; "The Truth About Blockchain," by Marco Iansiti and Karim R. Lakhani; "The 3-D Printing Playbook," by Richard A. D'Aveni; "Collaborative Intelligence: Humans and AI Are Joining Forces," by H. James Wilson and Paul R. Daugherty; "When Your Boss Wears Metal Pants," by Walter Frick; and "Managing Our Hub Economy," by Marco Iansiti and Karim R. Lakhani.
As data holdings get bigger and questions get harder, data scientists and analysts must focus on the systems, the tools and techniques, and the disciplined process to get the correct answer, quickly Whether you work within industry or government, this book will provide you with a foundation to successfully and confidently process large amounts of quantitative data.
Here are just a dozen of the many questions answered within these pages:
What does quantitative analysis of a system really mean?
What is a system?
What are big data and analystics?
How do you know your numbers are good?
What will the future data science environment look like?
How do you determine data provenance?
How do you gather and process information, and then organize, store, and synthesize it?
How does an organization implement data analytics?
Do you really need to think like a Chief Information Officer?
What is the best way to protect data?
What makes a good dashboard?
What is the relationship between eating ice cream and getting attacked by a shark?
The nine chapters in this book are arranged in three parts that address systems concepts in general, tools and techniques, and future trend topics. Systems concepts include contrasting open and closed systems, performing data mining and big data analysis, and gauging data quality. Tools and techniques include analyzing both continuous and discrete data, applying probability basics, and practicing quantitative analysis such as descriptive and inferential statistics. Future trends include leveraging the Internet of Everything, modeling Artificial Intelligence, and establishing a Data Analytics Support Office (DASO).
Many examples are included that were generated using common software, such as Excel, Minitab, Tableau, SAS, and Crystal Ball. While words are good, examples can sometimes be a better teaching tool. For each example included, data files can be found on the companion website. Many of the data sets are tied to the global economy because they use data from shipping ports, air freight hubs, largest cities, and soccer teams. The appendices contain more detailed analysis including the 10 T's for Data Mining, Million Row Data Audit (MRDA) Processes, Analysis of Rainfall, and Simulation Models for Evaluating Traffic Flow.
Описание: Chapter 1. Secure Multimodal Access with 2D and 3D Ears.- Chapter 2. Efficient and Low Overhead Detection of Brain Diseases using Deep Learning based Sparse MRI Image Classification.- Chapter 3. Continual Deep Learning Framework for Medical Media Screening and Archival.- Chapter 4. KannadaRes-NeXt: a Deep Residual Network for Kannada Numeral Recognition.- Chapter 5. Secure Image Transmission in Wireless Network using Conventional Neural Network and DOST.- Chapter 6. Robust General Twin Support Vector Machine with Pinball Loss Function.- Chapter 7. Noise Resilient Thresholding based on Fuzzy Logic and Non-linear Filtering.- Chapter 8. Deep Learning Methods for Audio Events Detection.- Chapter 9. A Framework for Multi-lingual Scene Text Detection using K-means++ and Memetic Algorithms.- Chapter 10. Recent Advancements in Medical Imaging: A Machine Learning Approach.- Chapter 11. Solving Image Processing Critical Problems using Machine Learning.- Chapter 12. Spoken Language Identification of Indian Languages using MFCC Features.- Chapter 13. Performance Evaluation of One-Class Classifiers (OCC) for Damage Detection in Structural Health Monitoring.- Chapter 14. Brain Tumor Classification in MRI Images using Transfer Learning.- Chapter 15. Semantic based Vectorization Technique for Hindi Language.
Описание: Application of Artificial Intelligence in Arrangement Creation.- Automatic Segmentation for Retinal Vessel Using Concatenate UNet++.- Experimental Analysis of Mandarin Tone Pronunciation of Tibetan College Students for Artificial Intelligence Speech Recognition.- Exploration of Paths for Artificial Intelligence Technology to Promote Economic Development.- Influence of RPA Financial Robot on Financial Accounting and its Countermeasures.- Application of Artificial Intelligence Technology in English Online Learning Platform.- Spectral Identification Model of NIR Origin Based on Deep Extreme Learning Machine.- Frontier Application and Development Trend of Artificial Intelligence in New Media in the AI Era.- Analysis on the Application of Machine Learning Stock Selection Algorithm in the Financial Field.- Default Risk Prediction Based on Machine Learning under Big Data Analysis Technology.- Application of Intelligent Detection Technology and Machine Learning Algorithm in Music Intelligent System.- Application of 3D Computer Aided System in Dance Creation and Learning.- Data Selection and Machine Learning Algorithm Application under the Background of Big Data.
Описание: Analysis of Sentiment Tendency of Tourists' Comments Based on Text Mining.- Analysis of Smart City Construction Based on 5G Data Technology.- Prediction of Stock Price Based on Artificial Intelligence Algorithm.- Variation Translation Strategy System of Intangible Cultural Heritage Based on Data Mining.- A Computer-aided Comparative Study on Grammatical Cohesion in Abstracts of Sci-tech Journal Papers by Chinese and American Scholars.- Computer Graphics and Image Software in Advertising Design.- Design and Research of Production Information Management System for Project Based Mechanical Manufacturing Enterprises.- Impact of Computer Network Technology on Regional Economic Development.- Chaos Algorithm of Electrical Control System Based on Neural Network Technology.- Pulse Signal Acquisition System Based on Match Pursuit Algorithm.- Data Analysis of Power System Engineering Construction Based on PPSO Algorithm.- Reactive Optimization of Power System Based on K-means Algorithm.- Design and Structure Analysis of Manipulator based on Acceleration Sensor.- Discussion on Decision Tree Algorithm in University Teaching Management System.
Автор: Mohanty Sachi Nandan, Chatterjee Jyotir Moy, Mangla Monika Название: Machine Learning Approach for Cloud Data Analytics in Iot ISBN: 1119785804 ISBN-13(EAN): 9781119785804 Издательство: Wiley Рейтинг: Цена: 29771.00 р. Наличие на складе: Поставка под заказ.
Описание: Im Zeitalter des Internet of Things (IoT) erzeugen Edge-Gerдte in jedem Sekundenbruchteil gigantische Datenmengen. Dabei besteht das Hauptziel dieser Netzwerke darin, aus den gesammelten Daten sinnvolle Informationen abzuleiten. Gleichzeitig werden gewaltige Datenmengen in die Cloud Г1/4bertragen, was extrem teuer und zeitaufwдndig ist. Es ist somit notwendig, effiziente Mechanismen fГ1/4r die Verarbeitung dieser gewaltigen Datenmengen zu entwickeln, und dafГ1/4r sind effiziente Datenverarbeitungstechniken erforderlich. Nachhaltige Paradigmen wie Cloud Computing und Fog Computing tragen zu einem geschickten Umgang mit Themen wie Leistung, Speicher- und Verarbeitungskapazitдten, Wartung, Sicherheit, Effizienz, Integration, Kosten, Energieverbrauch und Latenzzeiten bei. Allerdings werden ausgefeilte Analysetools benцtigt, um die Anfragen in einer optimalen Zeit zu bearbeiten. Daher wird derzeit eifrig an der Entwicklung eines effektiven und effizienten Rahmens geforscht, um den grцГŸtmцglichen Nutzen zu erhalten. Bei der Verarbeitung der gewaltigen Datenmengen steht das maschinelle Lernen besonders hoch im Kurs und wird in zahlreichen Disziplinen angewandt, auch in den sozialen Medien. In Machine Learning Approach for Cloud Data Analytics in IoT werden sдmtliche Aspekte des IoT, des Cloud Computing und der Datenanalyse ausfГ1/4hrlich erlдutert und aus verschiedenen Perspektiven betrachtet. Das Buch prдsentiert den neuesten Stand der Forschung und fortschrittliche Themen. So erhalten die Leserinnen und Leser aktuelle Informationen und kцnnen das gesamte Spektrum der Anwendungen von IoT, Cloud Computing und Datenanalyse erfassen.
Описание: This book discusses topics related to bioinformatics, statistics, and machine learning, presenting the latest research in various areas of bioinformatics.
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