Mobile Intelligence

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Mobile Intelligence

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Author : Laurence T. Yang
language : en
Publisher: John Wiley & Sons
Release Date : 2010-02-08

Mobile Intelligence written by Laurence T. Yang and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-02-08 with Technology & Engineering categories.

* Focuses on learning patterns and knowledge from data generated by mobile users and mobile technology. * Covers research and application issues in applying computational intelligence applications to mobile computing * Delivers benefits to a wide range of applications * Introduces the state of the art of computational intelligence to the mobile paradigm

Mobile Artificial Intelligence Projects

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Author : Karthikeyan NG
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-03-30

Mobile Artificial Intelligence Projects written by Karthikeyan NG and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-30 with Computers categories.

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.

Intelligence In Services And Networks Paving The Way For An Open Service Market

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Author : Han Zuidweg
language : en
Publisher: Springer
Release Date : 2008-01-03

Intelligence In Services And Networks Paving The Way For An Open Service Market written by Han Zuidweg and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-01-03 with Computers categories.

Paving the Way for an Open Service Market We live in an age when powerful communications technology is becoming available to everyone. From our home we can send and receive not only analogue voice, but also growing volumes of digital information and even intelligence in the form of agents. We are becoming increasingly mobile and are expecting the same level of connectivity in the home, in the office, and on the road. The regulatory and commercial environment in which we communicate is changing. The telecommunications market is becoming increasingly competitive. The Internet is erasing the borders between information technology and telecommunications. And the way we do business is ever more dominated by electronic exchanges of information. Is our technology ready for the open market of networks and services? Can we manage the growing complexity of computing and telecommunications technology and place it at the service of the people? The challenge for the research community is to develop the tools and techniques that will ultimately bring the full power of communications and information to everyone, in a way that everyone can easily use. The Sixth International Conference on Intelligence in Services and Networks (IS&N’99) is all about technology for paving the way to the open services market. Since the first IS&N conference in 1992 the focus of the IS&N program has continually shifted. We see existing technologies maturing while new ones emerge, but the bottom line has always been putting technology at the service of the people.

Silverlight 4 Business Intelligence Software

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Author : Bart Czernicki
language : en
Publisher: Apress
Release Date : 2011-01-27

Silverlight 4 Business Intelligence Software written by Bart Czernicki and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-01-27 with Computers categories.

Business intelligence (BI) software allows you to view different components of a business using a single visual platform, which makes comprehending mountains of data easier. BI is everywhere. Applications that include reports, analytics, statistics, and historical and predictive modeling are all examples of business intelligence. Currently, we are in the second generation of business intelligence software—called BI 2.0—which is focused on writing business intelligence software that is predictive, adaptive, simple, and interactive. As computers and software have evolved, more data can be presented to end users with increasingly visually rich techniques. Rich Internet application (RIA) technologies such as Microsoft Silverlight can be used to transform traditional user-interfaces filled with boring data into fully interactive analytical applications that quickly deliver insight from large data sets. Furthermore, RIAs now include 3D spatial-design capabilities that move beyond asimple list or grid and allow for interesting layouts of aggregated data. BI 2.0 implemented via an RIA technology can truly bring out the power of business intelligence and deliver it to an average user on the Web. Silverlight 4 Business Intelligence Software provides developers, designers, and architects with a solid foundation in business intelligence design and architecture concepts for Microsoft Silverlight. This book covers key business intelligence design concepts and how they can be applied without an existing BI infrastructure. Author Bart Czernicki provides you with examples of how to build small BI applications that are interactive, highly visual, statistical, predictive—and most importantly—intuitive to the end-user. Business intelligence isn’t just for the executive branch of a Fortune 500 company—it is for the masses. Let Silverlight 4 Business Intelligence Software show you how to unlock the rich intelligence you alreadyhave.

Next Generation Data Technologies For Collective Computational Intelligence

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Author : Nik Bessis
language : en
Publisher: Springer
Release Date : 2011-06-29

Next Generation Data Technologies For Collective Computational Intelligence written by Nik Bessis and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-06-29 with Computers categories.

This book focuses on next generation data technologies in support of collective and computational intelligence. The book brings various next generation data technologies together to capture, integrate, analyze, mine, annotate and visualize distributed data – made available from various community users – in a meaningful and collaborative for the organization manner. A unique perspective on collective computational intelligence is offered by embracing both theory and strategies fundamentals such as data clustering, graph partitioning, collaborative decision making, self-adaptive ant colony, swarm and evolutionary agents. It also covers emerging and next generation technologies in support of collective computational intelligence such as Web 2.0 social networks, semantic web for data annotation, knowledge representation and inference, data privacy and security, and enabling distributed and collaborative paradigms such as P2P, Grid and Cloud Computing due to the geographically dispersed and distributed nature of the data. The book aims to cover in a comprehensive manner the combinatorial effort of utilizing and integrating various next generations collaborative and distributed data technologies for computational intelligence in various scenarios. The book also distinguishes itself by assessing whether utilization and integration of next generation data technologies can assist in the identification of new opportunities, which may also be strategically fit for purpose.

A Beginner S Guide To Introduce Artificial Intelligence In Teaching And Learning

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Author : Muralidhar Kurni
language : en
Publisher: Springer Nature
Release Date : 2023-06-28

A Beginner S Guide To Introduce Artificial Intelligence In Teaching And Learning written by Muralidhar Kurni and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-28 with Education categories.

This book reimagines education in today’s Artificial Intelligence (AI) world and the Fourth Industrial Revolution. Artificial intelligence will drastically affect every industry and sector, and education is no exception. This book aims at how AI may impact the teaching and learning process in education. This book is designed to demystify AI for teachers and learners. This book will help improve education and support institutions in the phenomena of the emergence of AI in teaching and learning. This book presents a comprehensive study of how AI improves teaching and learning, from AI-based learning platforms to AI-assisted proctored examinations. This book provides educators, learners, and administrators on how AI makes sense in their everyday practice. Describing the application of AI in ten key aspects, this comprehensive volume prepares educational leaders, designers, researchers, and policymakers to effectively rethink the teaching and learning process and environments that students need to thrive. The readers of this book never fall behind the fast pace and promising innovations of today’s most advanced learning technology.

Mobile Edge Artificial Intelligence

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Author : Yuanming Shi
language : en
Publisher: Elsevier
Release Date : 2021-08-17

Mobile Edge Artificial Intelligence written by Yuanming Shi and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-17 with Computers categories.

Front Cover -- Mobile Edge Artificial Intelligence -- Copyright -- Contents -- List of figures -- Biography -- Yuanming Shi -- Kai Yang -- Zhanpeng Yang -- Yong Zhou -- Preface -- Acknowledgments -- Part 1 Introduction and overview -- 1 Motivations and organization -- 1.1 Motivations -- 1.2 Organization -- References -- 2 Primer on artificial intelligence -- 2.1 Basics of machine learning -- 2.1.1 Supervised learning -- 2.1.1.1 Logistic regression -- 2.1.1.2 Support vector machine -- 2.1.1.3 Decision tree -- 2.1.1.4 k-Nearest neighbors method -- 2.1.1.5 Neural network -- 2.1.2 Unsupervised learning -- 2.1.2.1 k-Means algorithm -- 2.1.2.2 Principal component analysis -- 2.1.2.3 Autoencoder -- 2.1.3 Reinforcement learning -- 2.1.3.1 Q-learning -- 2.1.3.2 Policy gradient -- 2.2 Models of deep learning -- 2.2.1 Convolutional neural network -- 2.2.2 Recurrent neural network -- 2.2.3 Graph neural network -- 2.2.4 Generative adversarial network -- 2.3 Summary -- References -- 3 Convex optimization -- 3.1 First-order methods -- 3.1.1 Gradient method for unconstrained problems -- 3.1.2 Gradient method for constrained problems -- 3.1.3 Subgradient descent method -- 3.1.4 Mirror descent method -- 3.1.5 Proximal gradient method -- 3.1.6 Accelerated gradient method -- 3.1.7 Smoothing for nonsmooth optimization -- 3.1.8 Dual and primal-dual methods -- 3.1.9 Alternating direction method of multipliers -- 3.1.10 Stochastic gradient method -- 3.2 Second-order methods -- 3.2.1 Newton's method -- 3.2.2 Quasi-Newton method -- 3.2.3 Gauss-Newton method -- 3.2.4 Natural gradient method -- 3.3 Summary -- References -- 4 Mobile edge AI -- 4.1 Overview -- 4.2 Edge inference -- 4.2.1 On-device inference -- 4.2.2 Edge inference via computation offloading -- 4.2.2.1 Server-based edge inference -- 4.2.2.2 Device-edge joint inference -- 4.3 Edge training.

Networking Transport And Quality Of Service In Vehicular Networks

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Author : Nguyen, Truong Khang
language : en
Publisher: IGI Global
Release Date : 2025-04-17

Networking Transport And Quality Of Service In Vehicular Networks written by Nguyen, Truong Khang and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-17 with Technology & Engineering categories.

As vehicles become connected through technologies such as vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I), ensuring seamless communication between vehicles, road infrastructure, and data centers is critical. Networking protocols must address the challenges posed by high mobility, dynamic topologies, and varying communication environments. Meanwhile, transport protocols ensure data is reliably delivered with minimal latency, while quality of service (QoS) mechanisms are essential to prioritize critical applications. By optimizing these components, vehicular networks can provide enhanced driver safety, improve traffic management, and support the development of autonomous vehicles, all while meeting the demand for bandwidth and connectivity in intelligent transportation systems. Networking, Transport, and Quality of Service in Vehicular Networks explores the interplay between vehicular communication systems, network infrastructure, transport protocols, and QoS management. It delves into the challenges and opportunities presented by the dynamic nature of vehicular environments, offering insights into effective strategies for ensuring reliable and efficient communication, seamless transport, and optimal quality of service for diverse vehicular applications. This book covers topics such as fuzzy learning, smart cities, and traffic control, and is a useful resource for urban developers, civil engineers, transportation professionals, computer scientists, academicians, and researchers.

Beyond The Signal Artificial Intelligence Cloud And Security In Next Gen Telecom Networks

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Author : Venkata Bharadwaj komaragiri
language : en
Publisher: Deep Science Publishing
Release Date : 2025-04-21

Beyond The Signal Artificial Intelligence Cloud And Security In Next Gen Telecom Networks written by Venkata Bharadwaj komaragiri and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-21 with Technology & Engineering categories.

The telecommunications industry is rapidly evolving from a utility-driven service to a data-centric, intelligent ecosystem. Beyond the Signal: AI, Cloud, and Security in Next-Gen Telecom Networks explores this dynamic transformation, focusing on the critical technologies that are redefining how networks are built, operated, and protected in the era of 5G and beyond. As networks grow more complex and user expectations soar, the integration of Artificial Intelligence (AI), cloud computing, and robust cybersecurity has become not just advantageous—but essential. AI is enabling smarter, self-optimizing networks that can predict faults, manage traffic in real time, and deliver seamless user experiences. Cloud infrastructure is empowering telcos to scale efficiently, launch services faster, and support diverse applications—from edge computing to IoT ecosystems. Meanwhile, cybersecurity is no longer a siloed function but a foundational pillar, ensuring trust, privacy, and resilience in an increasingly connected world. This book offers a comprehensive look at how these technologies intersect and work in harmony to power next-generation telecom networks. From AI-driven network automation and predictive maintenance to cloud-native architectures and zero-trust security frameworks, each chapter uncovers key innovations shaping the telecom landscape. We also explore the challenges that accompany this shift—data sovereignty, vendor interoperability, regulatory compliance, and the need for a skilled workforce to support this digital leap. With insights from industry leaders, real-world implementations, and emerging trends, Beyond the Signal serves as both a technical guide and a strategic vision for telecom professionals, policymakers, and technology enthusiasts. The future of telecom is not just about faster speeds or lower latency—it’s about intelligent, secure, and adaptive networks that serve as the backbone of digital society. This book invites you to explore that future and discover how AI, cloud, and security are taking us far beyond the signal.

Mobile Strategy

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Author : Dirk Nicol
language : en
Publisher: IBM Press
Release Date : 2013-04-24

Mobile Strategy written by Dirk Nicol and has been published by IBM Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-24 with Business & Economics categories.

Navigate the Mobile Landscape with Confidence and Create a Mobile Strategy That Wins in the Market Place Mobile Strategy gives IT leaders the ability to transform their business by offering all the guidance they need to navigate this complex landscape, leverage its opportunities, and protect their investments along the way. IBM’s Dirk Nicol clearly explains key trends and issues across the entire mobile project lifecycle. He offers insights critical to evaluating mobile technologies, supporting BYOD, and integrating mobile, cloud, social, and big data. Throughout, you’ll find proven best practices based on real-world case studies from his extensive experience with IBM’s enterprise customers. Coverage includes • Understanding the profound implications and challenges of consumerized IT in the mobile space • Uncovering powerful new opportunities to drive value from mobile technology • Transforming “systems of record” to “systems of engagement” that fully reflect context and intelligence • Identifying proven patterns for delivering common mobile capabilities in operations, commerce, collaboration, and marketing • Managing security threats related to lost/stolen devices, insecure Wi-Fi, and built-in cameras • Choosing mobile data protection, security, and management options: wrappers, containers, virtualization, mobile Software Development Kits (SDKs), virtual private networks (VPNs), Mobile Device Management (MDM), Mobile Application Management (MAM), and anti-malware • Handling the “app store” distribution model and managing updates • Using mobile middleware to support multiple platforms and back-end connectivity with less complexity • Building and integrating high-quality mobile apps—and getting useful customer feedback to improve them • Addressing international considerations and emerging markets • Mastering methodologies for successfully and rapidly executing mobile projects • Converging mobile, cloud, social, and big data into a single high-value IT delivery platform