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Author: United States. Department of the Army
Publisher:
ISBN:
Category : Military intelligence
Languages : en
Pages : 220
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Book Description
Author: United States. Department of the Army
Publisher:
ISBN:
Category : Military intelligence
Languages : en
Pages : 220
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Book Description
Author:
Publisher: DIANE Publishing
ISBN: 9781422323991
Category :
Languages : en
Pages : 136
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Book Description
Author: Mark A. Randol
Publisher: DIANE Publishing
ISBN: 1437921582
Category : Political Science
Languages : en
Pages : 61
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Book Description
A primary mission of the Dept. of Homeland Security (DHS) is to ¿prevent terrorist attacks within the U.S., reduce the vulnerability of the U.S. to terrorism, and minimize the damage, and assist in the recovery from terrorist attacks that do occur in the U.S.¿ Since its inception, DHS has had an intelligence component to support this mission. Following a reorganization of the DHS in 2005, a strengthened Office of Intelligence and Analysis (I&A) was established. This report provides an overview of DHSI, and examines how it is organized and supports key departmental activities to include homeland security analysis and threat warning; border security; critical infrastructure protection; and sharing of info. with, state, local, and private sector partners.
Author: United States. Department of the Army
Publisher:
ISBN:
Category : Military intelligence
Languages : en
Pages : 84
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Book Description
Author: Rajesh Kumar Dhanaraj
Publisher: CRC Press
ISBN: 1000906833
Category : Computers
Languages : en
Pages : 337
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Book Description
Emphasizing a sustainable and green approach, this new book presents an overview of state-of-the-art AI strategies for solving transportation challenges around the world, with a focus on traffic management, traffic safety, public transportation, urban mobility, and pollution mitigation. The book examines modern AI technologies such as IoT, cloud computing, machine learning, and neural networking in the context of fully automated transportation that meets current requirements. The volume provides an informative review of the difficulties and recent developments in smart mobility and transportation, encompassing technical, algorithmic, and social elements. The volume examines innovative service and platform concepts for future mobility. Artificial intelligence principles are examined as well as their implementation in modern hardware architecture. New machine learning issues for autonomous vehicles and fleets are investigated in the framework of artificial intelligence. In addition, the book investigates the human dynamics and social implications of future mobility concepts. Highlighting the research directions in this field, Artificial Intelligence for Future Intelligent Transportation: Smarter and Greener Infrastructure Design will be of value for researchers in cybersecurity, machine learning, data analysis, and artificial intelligence. Ethical hackers, students, and faculty will find useful information here as well.
Author: Deepak Gupta
Publisher: Bentham Science Publishers
ISBN: 1681089440
Category : Computers
Languages : en
Pages : 145
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Book Description
New technologies and computing methodologies are now used to address the existing issues of urban traffic systems. The development of computational intelligence methods such as machine learning and deep learning, enables engineers to find innovative solutions to guide traffic in order to reduce transportation and mobility problems in urban areas. This volume, Computational Intelligence for Sustainable Transportation and Mobility, presents several computing models for intelligent transportation systems, which may hold the key to achieving sustainable development goals by optimizing traffic flow and minimizing associated risks. The book begins with the basic computational Intelligence techniques for traffic systems and explains its applications in vehicular traffic prediction, model optimization, behavior analysis, traffic density estimation, and more. The main objectives of this book are to present novel techniques developed, new technologies and computational intelligence for sustainable mobility and transportation solutions, as well as giving an understanding of some Industry 4.0 trends. Readers will learn how to apply computational intelligence techniques such as multiagent systems (MAS), whale optimization, artificial Intelligence (AI), deep neural networks (DNNs) so that they can to develop algorithms, models, and approaches for sustainable transportation operations. Key Features: - Provides an overview of machine learning models and their optimization for intelligent transportation systems in urban areas - Covers classification of traffic behavior - Demonstrates the application of artificial immune system algorithms for traffic prediction - Covers traffic density estimation using deep learning models - Covers Fog and edge computing for intelligent transportation systems - Gives an IoT and Industry 4.0 perspective about intelligent transportation systems to readers - Presents a current perspective on an urban hyperloop system for India
Author: Amina Adadi
Publisher: CRC Press
ISBN: 100096843X
Category : Technology & Engineering
Languages : en
Pages : 286
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Book Description
Artificial Intelligence (AI) and Machine Learning (ML) are set to revolutionize all industries, and the Intelligent Transportation Systems (ITS) field is no exception. While ML, especially deep learning models, achieve great performance in terms of accuracy, the outcomes provided are not amenable to human scrutiny and can hardly be explained. This can be very problematic, especially for systems of a safety-critical nature such as transportation systems. Explainable AI (XAI) methods have been proposed to tackle this issue by producing human interpretable representations of machine learning models while maintaining performance. These methods hold the potential to increase public acceptance and trust in AI-based ITS. FEATURES: Provides the necessary background for newcomers to the field (both academics and interested practitioners) Presents a timely snapshot of explainable and interpretable models in ITS applications Discusses ethical, societal, and legal implications of adopting XAI in the context of ITS Identifies future research directions and open problems
Author: Aleksander Sładkowski
Publisher: Springer
ISBN: 3319191500
Category : Technology & Engineering
Languages : en
Pages : 307
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Book Description
This book presents a discussion of problems encountered in the deployment of Intelligent Transport Systems (ITS). It puts emphasis on the early tasks of designing and proofing the concept of integration of technologies in Intelligent Transport Systems. In its first part the book concentrates on the design problems of urban ITS. The second part of the book features case studies representative for the different modes of transport. These are freight transport, rail transport and aerospace transport encompassing also space stations. The book provides ideas for deployment which may be developed by scientists and engineers engaged in the design of Intelligent Transport Systems. It can also be used in the training of specialists, students and post-graduate students in universities and transport high schools.
Author: Andreas Fink
Publisher: Springer Science & Business Media
ISBN: 3540690247
Category : Computers
Languages : en
Pages : 280
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Book Description
The book at hand presents a careful selection of relevant applications of CI methods for transport, logistics, and supply chain management problems. The chapters illustrate the current state-of-the-art in the application of CI methods in these fields and should help and inspire researchers and practitioners to apply and develop efficient methods. A few contributions in this book are extended versions of papers presented at EvoTransLog2007: The First European Workshop on Evolutionary Computation in Transportation and Logistics which was held in Valencia, Spain, in 2007. The majority of contributions are from additional, specially selected researchers, who have done relevant work in different areas of transport, logistics, and supply chain management. The goal is to broadly cover representative applications in these fields as well as different types of solution approaches. On the application side, the contributions focus on design of traffic and transportation networks, vehicle routing, and other important aspects of supply chain management such as inventory management, lot sizing, and lot scheduling. On the method side, the contributions deal with evolutionary algorithms, local search approaches, and scatter search combined with other CI techniques such as neural networks or fuzzy approaches. The book is structured according to the application domains. Thus, it has three parts dealing with traffic and transportation networks, vehicle routing, and supply chain management.
Author:
Publisher:
ISBN:
Category : Military intelligence
Languages : en
Pages : 500
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Book Description
