Mobile Artificial Intelligence Projects

Mobile Artificial Intelligence Projects
Author: Karthikeyan NG,Arun Padmanabhan,Matt R. Cole
Publsiher: Packt Publishing Ltd
Total Pages: 312
Release: 2019-03-30
ISBN: 1789347041
Category: Computers
Language: EN, FR, DE, ES & NL

Mobile Artificial Intelligence Projects Book Excerpt:

Learn to build end-to-end AI apps from scratch for Android and iOS using TensorFlow Lite, CoreML, and PyTorch Key FeaturesBuild practical, real-world AI projects on Android and iOSImplement tasks such as recognizing handwritten digits, sentiment analysis, and moreExplore the core functions of machine learning, deep learning, and mobile visionBook Description We’re witnessing a revolution in Artificial Intelligence, thanks to breakthroughs in deep learning. Mobile Artificial Intelligence Projects empowers you to take part in this revolution by applying Artificial Intelligence (AI) techniques to design applications for natural language processing (NLP), robotics, and computer vision. This book teaches you to harness the power of AI in mobile applications along with learning the core functions of NLP, neural networks, deep learning, and mobile vision. It features a range of projects, covering tasks such as real-estate price prediction, recognizing hand-written digits, predicting car damage, and sentiment analysis. You will learn to utilize NLP and machine learning algorithms to make applications more predictive, proactive, and capable of making autonomous decisions with less human input. In the concluding chapters, you will work with popular libraries, such as TensorFlow Lite, CoreML, and PyTorch across Android and iOS platforms. By the end of this book, you will have developed exciting and more intuitive mobile applications that deliver a customized and more personalized experience to users. What you will learnExplore the concepts and fundamentals of AI, deep learning, and neural networksImplement use cases for machine vision and natural language processingBuild an ML model to predict car damage using TensorFlowDeploy TensorFlow on mobile to convert speech to textImplement GAN to recognize hand-written digitsDevelop end-to-end mobile applications that use AI principlesWork with popular libraries, such as TensorFlow Lite, CoreML, and PyTorchWho this book is for Mobile Artificial Intelligence Projects is for machine learning professionals, deep learning engineers, AI engineers, and software engineers who want to integrate AI technology into mobile-based platforms and applications. Sound knowledge of machine learning and experience with any programming language is all you need to get started with this book.

Mobile Deep Learning with TensorFlow Lite ML Kit and Flutter

Mobile Deep Learning with TensorFlow Lite  ML Kit and Flutter
Author: Anubhav Singh,Rimjhim Bhadani
Publsiher: Packt Publishing Ltd
Total Pages: 380
Release: 2020-04-06
ISBN: 178961399X
Category: Computers
Language: EN, FR, DE, ES & NL

Mobile Deep Learning with TensorFlow Lite ML Kit and Flutter Book Excerpt:

Learn how to deploy effective deep learning solutions on cross-platform applications built using TensorFlow Lite, ML Kit, and Flutter Key FeaturesWork through projects covering mobile vision, style transfer, speech processing, and multimedia processingCover interesting deep learning solutions for mobileBuild your confidence in training models, performance tuning, memory optimization, and neural network deployment through every projectBook Description Deep learning is rapidly becoming the most popular topic in the mobile app industry. This book introduces trending deep learning concepts and their use cases with an industrial and application-focused approach. You will cover a range of projects covering tasks such as mobile vision, facial recognition, smart artificial intelligence assistant, augmented reality, and more. With the help of eight projects, you will learn how to integrate deep learning processes into mobile platforms, iOS, and Android. This will help you to transform deep learning features into robust mobile apps efficiently. You’ll get hands-on experience of selecting the right deep learning architectures and optimizing mobile deep learning models while following an application oriented-approach to deep learning on native mobile apps. We will later cover various pre-trained and custom-built deep learning model-based APIs such as machine learning (ML) Kit through Firebase. Further on, the book will take you through examples of creating custom deep learning models with TensorFlow Lite. Each project will demonstrate how to integrate deep learning libraries into your mobile apps, right from preparing the model through to deployment. By the end of this book, you’ll have mastered the skills to build and deploy deep learning mobile applications on both iOS and Android. What you will learnCreate your own customized chatbot by extending the functionality of Google AssistantImprove learning accuracy with the help of features available on mobile devicesPerform visual recognition tasks using image processingUse augmented reality to generate captions for a camera feedAuthenticate users and create a mechanism to identify rare and suspicious user interactionsDevelop a chess engine based on deep reinforcement learningExplore the concepts and methods involved in rolling out production-ready deep learning iOS and Android applicationsWho this book is for This book is for data scientists, deep learning and computer vision engineers, and natural language processing (NLP) engineers who want to build smart mobile apps using deep learning methods. You will also find this book useful if you want to improve your mobile app’s user interface (UI) by harnessing the potential of deep learning. Basic knowledge of neural networks and coding experience in Python will be beneficial to get started with this book.

Machine Learning with Swift

Machine Learning with Swift
Author: Oleksandr Sosnovshchenko,Oleksandr Baiev
Publsiher: Packt Publishing Ltd
Total Pages: 378
Release: 2018-02-28
ISBN: 1787123529
Category: Computers
Language: EN, FR, DE, ES & NL

Machine Learning with Swift Book Excerpt:

Leverage the power of machine learning and Swift programming to build intelligent iOS applications with ease Key Features Implement effective machine learning solutions for your iOS applications Use Swift and Core ML to build and deploy popular machine learning models Develop neural networks for natural language processing and computer vision Book Description Machine learning as a field promises to bring increased intelligence to the software by helping us learn and analyse information efficiently and discover certain patterns that humans cannot. This book will be your guide as you embark on an exciting journey in machine learning using the popular Swift language. We’ll start with machine learning basics in the first part of the book to develop a lasting intuition about fundamental machine learning concepts. We explore various supervised and unsupervised statistical learning techniques and how to implement them in Swift, while the third section walks you through deep learning techniques with the help of typical real-world cases. In the last section, we will dive into some hard core topics such as model compression, GPU acceleration and provide some recommendations to avoid common mistakes during machine learning application development. By the end of the book, you'll be able to develop intelligent applications written in Swift that can learn for themselves. What you will learn Learn rapid model prototyping with Python and Swift Deploy pre-trained models to iOS using Core ML Find hidden patterns in the data using unsupervised learning Get a deeper understanding of the clustering techniques Learn modern compact architectures of neural networks for iOS devices Train neural networks for image processing and natural language processing Who this book is for iOS developers who wish to create smarter iOS applications using the power of machine learning will find this book to be useful. This book will also benefit data science professionals who are interested in performing machine learning on mobile devices. Familiarity with Swift programming is all you need to get started with this book.

Intelligent Mobile Projects with TensorFlow

Intelligent Mobile Projects with TensorFlow
Author: Jeff Tang
Publsiher: Packt Publishing Ltd
Total Pages: 404
Release: 2018-05-22
ISBN: 1788628802
Category: Computers
Language: EN, FR, DE, ES & NL

Intelligent Mobile Projects with TensorFlow Book Excerpt:

Create Deep Learning and Reinforcement Learning apps for multiple platforms with TensorFlow Key Features Build TensorFlow-powered AI applications for mobile and embedded devices Learn modern AI topics such as computer vision, NLP, and deep reinforcement learning Get practical insights and exclusive working code not available in the TensorFlow documentation Book Description As a developer, you always need to keep an eye out and be ready for what will be trending soon, while also focusing on what's trending currently. So, what's better than learning about the integration of the best of both worlds, the present and the future? Artificial Intelligence (AI) is widely regarded as the next big thing after mobile, and Google's TensorFlow is the leading open source machine learning framework, the hottest branch of AI. This book covers more than 10 complete iOS, Android, and Raspberry Pi apps powered by TensorFlow and built from scratch, running all kinds of cool TensorFlow models offline on-device: from computer vision, speech and language processing to generative adversarial networks and AlphaZero-like deep reinforcement learning. You’ll learn how to use or retrain existing TensorFlow models, build your own models, and develop intelligent mobile apps running those TensorFlow models. You'll learn how to quickly build such apps with step-by-step tutorials and how to avoid many pitfalls in the process with lots of hard-earned troubleshooting tips. What you will learn Classify images with transfer learning Detect objects and their locations Transform pictures with amazing art styles Understand simple speech commands Describe images in natural language Recognize drawing with Convolutional Neural Network and Long Short-Term Memory Predict stock price with Recurrent Neural Network in TensorFlow and Keras Generate and enhance images with generative adversarial networks Build AlphaZero-like mobile game app in TensorFlow and Keras Use TensorFlow Lite and Core ML on mobile Develop TensorFlow apps on Raspberry Pi that can move, see, listen, speak, and learn Who this book is for If you're an iOS/Android developer interested in building and retraining others' TensorFlow models and running them in your mobile apps, or if you're a TensorFlow developer and want to run your new and amazing TensorFlow models on mobile devices, this book is for you. You'll also benefit from this book if you're interested in TensorFlow Lite, Core ML, or TensorFlow on Raspberry Pi.

Intelligent Projects Using Python

Intelligent Projects Using Python
Author: Santanu Pattanayak
Publsiher: Packt Publishing Ltd
Total Pages: 342
Release: 2019-01-31
ISBN: 1788994868
Category: Computers
Language: EN, FR, DE, ES & NL

Intelligent Projects Using Python Book Excerpt:

Implement machine learning and deep learning methodologies to build smart, cognitive AI projects using Python Key FeaturesA go-to guide to help you master AI algorithms and concepts8 real-world projects tackling different challenges in healthcare, e-commerce, and surveillanceUse TensorFlow, Keras, and other Python libraries to implement smart AI applicationsBook Description This book will be a perfect companion if you want to build insightful projects from leading AI domains using Python. The book covers detailed implementation of projects from all the core disciplines of AI. We start by covering the basics of how to create smart systems using machine learning and deep learning techniques. You will assimilate various neural network architectures such as CNN, RNN, LSTM, to solve critical new world challenges. You will learn to train a model to detect diabetic retinopathy conditions in the human eye and create an intelligent system for performing a video-to-text translation. You will use the transfer learning technique in the healthcare domain and implement style transfer using GANs. Later you will learn to build AI-based recommendation systems, a mobile app for sentiment analysis and a powerful chatbot for carrying customer services. You will implement AI techniques in the cybersecurity domain to generate Captchas. Later you will train and build autonomous vehicles to self-drive using reinforcement learning. You will be using libraries from the Python ecosystem such as TensorFlow, Keras and more to bring the core aspects of machine learning, deep learning, and AI. By the end of this book, you will be skilled to build your own smart models for tackling any kind of AI problems without any hassle. What you will learnBuild an intelligent machine translation system using seq-2-seq neural translation machinesCreate AI applications using GAN and deploy smart mobile apps using TensorFlowTranslate videos into text using CNN and RNNImplement smart AI Chatbots, and integrate and extend them in several domainsCreate smart reinforcement, learning-based applications using Q-LearningBreak and generate CAPTCHA using Deep Learning and Adversarial Learning Who this book is for This book is intended for data scientists, machine learning professionals, and deep learning practitioners who are ready to extend their knowledge and potential in AI. If you want to build real-life smart systems to play a crucial role in every complex domain, then this book is what you need. Knowledge of Python programming and a familiarity with basic machine learning and deep learning concepts are expected to help you get the most out of the book

Design of a mobile phone based Artificial Intelligence AI application to assess dietary intake and provide nudges to improve healthy eating choices Formative research in Ghana and Vietnam

Design of a mobile phone based Artificial Intelligence  AI  application to assess dietary intake and provide nudges to improve healthy eating choices  Formative research in Ghana and Vietnam
Author: Braga, Bianca C.,Aberman, Noora-Lisa,Arrieta, Alejandra,Bannerman, Boateng,Burns, Adam,Folson, Gloria,Huynh, Phuong,Koch, Bastien,McCloskey, Pete,Nguyen, Phuong Hong,Zakariah-Akoto, Sawudatu,Hughes, David,Gelli, Aulo
Publsiher: Intl Food Policy Res Inst
Total Pages: 37
Release: 2021-05-24
ISBN: 1928374650XXX
Category: Political Science
Language: EN, FR, DE, ES & NL

Design of a mobile phone based Artificial Intelligence AI application to assess dietary intake and provide nudges to improve healthy eating choices Formative research in Ghana and Vietnam Book Excerpt:

Background: Low quality diets are a public health problem affecting individuals of all ages worldwide. Nudging for Good (NFG) is a new research project aimed at developing, validating, and examining the feasibility of using artificial intelligence (AI)-based technology to improve adolescent girls' diets in urban Ghana and Vietnam. Objectives: Provide evidence to support the design of a new mobile phone intervention including: a) identifying the demand for mobile app to improve diets in adolescent girls; b) defining the intervention objectives and activities to be delivered via a mobile app; and c) assessing the potential for nudging functionality to be incorporated in the mobile app. Methods: This study used mixed methods including both literature and nutrition-related app reviews, as well as focus group discussions. A literature review was conducted using PubMed and Google Scholar databases, and intervention studies using technology to improve nutrition outcomes of adolescents were included. Nine focus group discussions (five in Ghana and four in Vietnam) were undertaken with 61 girls to gauge smartphone and internet access and use and to obtain feedback on the prototype of a mobile app. Results: Nine studies met the selection criteria for the literature review, including seven randomized control trials (RCTs) and two systematic reviews. The evidence from the literature on how technology-based nutrition interventions should be conducted and what should be the best outcomes of success was mixed. Most of the 22 apps reviewed required manual entry of dietary information, and recommended diets based on motivation to change body weight. In the focus groups discussions, the adolescents suggested modifications on the prototype of the mobile app we presented, and indicated possibility to regularly take pictures of foods and beverages during meal time. Conclusion: We did not find an app available in either the Ghana or Vietnam markets that could improve dietary quality of adolescents without focusing on weight. Most apps available only had manual features to log food intake, which is time consuming. Moreover, adolescents expressed interest in using a new, modified version of the app we presented. We aim at developing a new mobile phone application based on AI technology that gives personalized and reliable nutrition advice to improve adolescent girls’ diets. However, the literature review was not conclusive on what should be the characteristics of an app and how interventions to measure an app’s impact on dietary quality should be conducted.

Programming with TensorFlow

Programming with TensorFlow
Author: Kolla Bhanu Prakash,G. R. Kanagachidambaresan
Publsiher: Springer Nature
Total Pages: 190
Release: 2021-01-22
ISBN: 3030570770
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Programming with TensorFlow Book Excerpt:

This practical book provides an end-to-end guide to TensorFlow, the leading open source software library that helps you build and train neural networks for deep learning, Natural Language Processing (NLP), speech recognition, and general predictive analytics. The book provides a hands-on approach to TensorFlow fundamentals for a broad technical audience—from data scientists and engineers to students and researchers. The authors begin by working through some basic examples in TensorFlow before diving deeper into topics such as CNN, RNN, LSTM, and GNN. The book is written for those who want to build powerful, robust, and accurate predictive models with the power of TensorFlow, combined with other open source Python libraries. The authors demonstrate TensorFlow projects on Single Board Computers (SBCs).

Mobile Learning Pilot Projects and Initiatives

Mobile Learning  Pilot Projects and Initiatives
Author: Retta Guy
Publsiher: Informing Science
Total Pages: 305
Release: 2010
ISBN: 1932886311
Category: Education
Language: EN, FR, DE, ES & NL

Mobile Learning Pilot Projects and Initiatives Book Excerpt:

This book examines the meaning as well as the benefits and barriers of mobile learning, details various global projects and initiatives that showcase the development and delivery of mobile learning, and traces the history of mobile learning to the present and provides a glimpse into the future of mobile education and the technologies used to facilitate the learning process.

Artificial Intelligence in Practice

Artificial Intelligence in Practice
Author: Bernard Marr
Publsiher: John Wiley & Sons
Total Pages: 352
Release: 2019-04-15
ISBN: 1119548985
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Practice Book Excerpt:

Cyber-solutions to real-world business problems Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success. It is used in areas ranging from banking and finance to social media and marketing. This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries. This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others. Best-selling author and renowned AI expert Bernard Marr reveals how machine learning technology is transforming the way companies conduct business. This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution. Each case study provides a comprehensive overview, including some technical details as well as key learning summaries: Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations Expand your knowledge of recent AI advancements in technology Gain insight on the future of AI and its increasing role in business and industry Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the transformative power of technology in 21st century commerce.

Artificial Intelligence in Behavioral and Mental Health Care

Artificial Intelligence in Behavioral and Mental Health Care
Author: David D. Luxton
Publsiher: Academic Press
Total Pages: 308
Release: 2015-09-10
ISBN: 0128007923
Category: Psychology
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Behavioral and Mental Health Care Book Excerpt:

Artificial Intelligence in Behavioral and Mental Health Care summarizes recent advances in artificial intelligence as it applies to mental health clinical practice. Each chapter provides a technical description of the advance, review of application in clinical practice, and empirical data on clinical efficacy. In addition, each chapter includes a discussion of practical issues in clinical settings, ethical considerations, and limitations of use. The book encompasses AI based advances in decision-making, in assessment and treatment, in providing education to clients, robot assisted task completion, and the use of AI for research and data gathering. This book will be of use to mental health practitioners interested in learning about, or incorporating AI advances into their practice and for researchers interested in a comprehensive review of these advances in one source. Summarizes AI advances for use in mental health practice Includes advances in AI based decision-making and consultation Describes AI applications for assessment and treatment Details AI advances in robots for clinical settings Provides empirical data on clinical efficacy Explores practical issues of use in clinical settings

Artificial Intelligence Research and Development

Artificial Intelligence Research and Development
Author: Teresa Alsinet,Josep Puyol-Gruart,Carme Torras
Publsiher: IOS Press
Total Pages: 442
Release: 2008-01-01
ISBN: 1586039253
Category: Computers
Language: EN, FR, DE, ES & NL

Artificial Intelligence Research and Development Book Excerpt:

The Eighth International Baltic Conference on Databases and Information Systems took place on June 25 2008 in Tallinn, Estonia. This conference is continuing a series of successful bi-annual Baltic conferences on databases and information systems (IS). The aim is to provide a wide international forum for academics and practitioners in the field of databases and modern information systems for exchanging their achievements in this area. The original research results presented in Databases and Information Systems V mostly belong to novel fields of IS and database research such as database technology and the semantic web, ontology-based IS, IS and AI technologies and IS integration. The contribution of Dr. Jari Palomauml;ki showed how different ontological commitments affect the way we are modeling the world when creating an information system. As semantic technologies have been gaining more attention recently, a special session on semantic interoperability of IS was organized. The invited talks from each Baltic State gave a good insight how semantic interoperability initiatives are developing in each of the Baltic States and how they relate to the European semantic interoperability framework.

Applied Artificial Intelligence in Business

Applied Artificial Intelligence in Business
Author: Leong Chan
Publsiher: Springer Nature
Total Pages: 135
Release: 2022
ISBN: 3031057406
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Applied Artificial Intelligence in Business Book Excerpt:

Artificial Intelligence in Education

Artificial Intelligence in Education
Author: Chee-Kit Looi
Publsiher: IOS Press
Total Pages: 1012
Release: 2005-01-01
ISBN: 1586035304
Category: Computers
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Education Book Excerpt:

The field of Artificial Intelligence in Education includes research and researchers from many areas of technology and social science. This study aims to open opportunities for the cross-fertilization of information and ideas from researchers in the many fields that make up this interdisciplinary research area.

Mobile Banking

Mobile Banking
Author: Anonim
Publsiher: Centro de Innovación BBVA
Total Pages: 135
Release: 2022
ISBN: 1928374650XXX
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Mobile Banking Book Excerpt:

World It Project The Global Issues In Information Technology

World It Project  The  Global Issues In Information Technology
Author: Prashant Palvia,Jaideep Ghosh,Tim Jacks,Alexander Serenko,Aykut Hamit Turan
Publsiher: World Scientific
Total Pages: 552
Release: 2020-04-28
ISBN: 9811208654
Category: Business & Economics
Language: EN, FR, DE, ES & NL

World It Project The Global Issues In Information Technology Book Excerpt:

Understanding the key IT issues facing firms within their surrounding contexts is critical for the firm, government, and their international counterparts.In response to the dominant and pervasive bias in Information Systems (IS) research towards American and Western views, the World IT Project was launched and is the largest study of its kind in the field. This book captures the organizational, technological, and individual issues of IT employees across 37 countries.The book enables management and staff to formulate business and IT-related policies and strategies. Likewise, it allows policymakers, governments and vendors to address important issues at the national level as well as to respond to the needs of partners and stakeholders in other countries. It also offers current and future academic scholars a grounded understanding of the international IT environment and provides a sound foundation to launch many international IT studies.

Learn OpenCV 4 by Building Projects

Learn OpenCV 4 by Building Projects
Author: David Millán Escrivá,Vinícius G. Mendonça,Prateek Joshi
Publsiher: Packt Publishing Ltd
Total Pages: 310
Release: 2018-11-30
ISBN: 1789347629
Category: Computers
Language: EN, FR, DE, ES & NL

Learn OpenCV 4 by Building Projects Book Excerpt:

Explore OpenCV 4 to create visually appealing cross-platform computer vision applications Key FeaturesUnderstand basic OpenCV 4 concepts and algorithmsGrasp advanced OpenCV techniques such as 3D reconstruction, machine learning, and artificial neural networksWork with Tesseract OCR, an open-source library to recognize text in imagesBook Description OpenCV is one of the best open source libraries available, and can help you focus on constructing complete projects on image processing, motion detection, and image segmentation. Whether you’re completely new to computer vision, or have a basic understanding of its concepts, Learn OpenCV 4 by Building Projects – Second edition will be your guide to understanding OpenCV concepts and algorithms through real-world examples and projects. You’ll begin with the installation of OpenCV and the basics of image processing. Then, you’ll cover user interfaces and get deeper into image processing. As you progress through the book, you'll learn complex computer vision algorithms and explore machine learning and face detection. The book then guides you in creating optical flow video analysis and background subtraction in complex scenes. In the concluding chapters, you'll also learn about text segmentation and recognition and understand the basics of the new and improved deep learning module. By the end of this book, you'll be familiar with the basics of Open CV, such as matrix operations, filters, and histograms, and you'll have mastered commonly used computer vision techniques to build OpenCV projects from scratch. What you will learnInstall OpenCV 4 on your operating systemCreate CMake scripts to compile your C++ applicationUnderstand basic image matrix formats and filtersExplore segmentation and feature extraction techniquesRemove backgrounds from static scenes to identify moving objects for surveillanceEmploy various techniques to track objects in a live videoWork with new OpenCV functions for text detection and recognition with TesseractGet acquainted with important deep learning tools for image classificationWho this book is for If you are a software developer with a basic understanding of computer vision and image processing and want to develop interesting computer vision applications with OpenCV, Learn OpenCV 4 by Building Projects for you. Prior knowledge of C++ will help you understand the concepts covered in this book.

Neural Networks and Artificial Intelligence

Neural Networks and Artificial Intelligence
Author: Vladimir Golovko,Akira Imada
Publsiher: Springer
Total Pages: 211
Release: 2014-05-27
ISBN: 3319082019
Category: Computers
Language: EN, FR, DE, ES & NL

Neural Networks and Artificial Intelligence Book Excerpt:

This book constitutes the refereed proceedings of the 8th International Conference on Neural Networks and Artificial Intelligence, ICNNAI 2014, held in Brest, Belarus, in June 2014. The 19 revised full papers presented were carefully reviewed and selected from 27 submissions. The papers are organized in topical sections on forest resource management; artificial intelligence by neural networks; optimization; classification; fuzzy approach; machine intelligence; analytical approach; mobile robot; real world application.

Emergent Trends in Personal Mobile and Handheld Computing Technologies

Emergent Trends in Personal  Mobile  and Handheld Computing Technologies
Author: Hu, Wen-Chen
Publsiher: IGI Global
Total Pages: 432
Release: 2012-04-30
ISBN: 1466609222
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Emergent Trends in Personal Mobile and Handheld Computing Technologies Book Excerpt:

"This book offers a vital research within the field of personal computing, highlighting the latest trends in research and development of personal technology"--Provided by publisher.

Artificial Intelligence

Artificial Intelligence
Author: J R Ennals
Publsiher: Elsevier
Total Pages: 300
Release: 2014-05-23
ISBN: 148315436X
Category: Computers
Language: EN, FR, DE, ES & NL

Artificial Intelligence Book Excerpt:

Artificial Intelligence: State of the Art Report is a two-part report consisting of the invited papers and the analysis. The editor first gives an introduction to the invited papers before presenting each paper and the analysis, and then concludes with the list of references related to the study. The invited papers explore the various aspects of artificial intelligence. The analysis part assesses the major advances in artificial intelligence and provides a balanced analysis of the state of the art in this field. The Bibliography compiles the most important published material on the subject of artificial intelligence and includes all the materials cited in the invited paper and analysis references.

Agile Approaches for Successfully Managing and Executing Projects in the Fourth Industrial Revolution

Agile Approaches for Successfully Managing and Executing Projects in the Fourth Industrial Revolution
Author: Bolat, Hür Bersam,Temur, Gül Tekin
Publsiher: IGI Global
Total Pages: 424
Release: 2019-03-15
ISBN: 1522578668
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Agile Approaches for Successfully Managing and Executing Projects in the Fourth Industrial Revolution Book Excerpt:

Communication between man and machine is vital to completing projects in the current day and age. Without this constant connectiveness as we enter an era of big data, project completion will result in utter failure. Agile Approaches for Successfully Managing and Executing Projects in the Fourth Industrial Revolution addresses changes wrought by Industry 4.0 and its effects on project management as well as adaptations and adjustments that will need to be made within project life cycles and project risk management. Highlighting such topics as agile planning, cloud projects, and organization structure, it is designed for project managers, executive management, students, and academicians.