Using Artificial Intelligence To Solve Transportation Problems
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Using Artificial Intelligence To Solve Transportation Problems
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Author : Aleksander Sładkowski
language : en
Publisher:
Release Date : 2024
Using Artificial Intelligence To Solve Transportation Problems written by Aleksander Sładkowski and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with Artificial intelligence categories.
"This book focuses on the role of Artificial Intelligence in solving transportation problems and presents papers from around the world on AI in transportation. Currently, the development of computer technology and software has led to what can be said to be the beginning of a fundamentally new stage in science and technology. This new level is called Artificial Intelligence (AI). AI can be used in any area of human activity. One of the broadest uses of AI comes from transportation, broadly understood. Obviously, it is impossible to present all the possibilities of AI in the field of design, production and operation of transport in one book. But the authors of this monothematic monograph tried to describe achievements in their areas. In particular, the use of AI allows you to save energy and fuel when using vehicles, improve the preparation and implementation of transport processes, simplify warehouse operations, analyze and modernize existing transport infrastructure. These and other aspects of the use of AI in the transport industry are discussed in the monograph by specialists from Greece, China, Poland and other countries. This book can be recommended for study by scientists and professionals. It can also be selected by teachers as additional material when preparing relevant courses. Moreover, it can also be recommended for any readers seriously interested in the transportation industry."--
Using Artificial Intelligence To Solve Transportation Problems
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Author : Aleksander Sładkowski
language : en
Publisher: Springer Nature
Release Date : 2024-12-14
Using Artificial Intelligence To Solve Transportation Problems written by Aleksander Sładkowski and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-14 with Computers categories.
This book focuses on the role of Artificial Intelligence in solving transportation problems and presents papers from around the world on AI in transportation. Currently, the development of computer technology and software has led to what can be said to be the beginning of a fundamentally new stage in science and technology. This new level is called “Artificial Intelligence (AI).” AI can be used in any area of human activity. One of the broadest uses of AI comes from transportation, broadly understood. Obviously, it is impossible to present all the possibilities of AI in the field of design, production and operation of transport in one book. But the authors of this monothematic monograph tried to describe achievements in their areas. In particular, the use of AI allows you to save energy and fuel when using vehicles, improve the preparation and implementation of transport processes, simplify warehouse operations, analyze and modernize existing transport infrastructure. These and other aspects of the use of AI in the transport industry are discussed in the monograph by specialists from Greece, China, Poland and other countries. This book can be recommended for study by scientists and professionals. It can also be selected by teachers as additional material when preparing relevant courses. Moreover, it can also be recommended for any readers seriously interested in the transportation industry.
Smart Transportation
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Author : Guido Dartmann
language : en
Publisher: CRC Press
Release Date : 2021-11-10
Smart Transportation written by Guido Dartmann and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-10 with Technology & Engineering categories.
The book provides a broad overview of the challenges and recent developments in the field of smart mobility and transportation, including technical, algorithmic and social aspects of smart mobility and transportation. It reviews new ideas for services and platforms for future mobility. New concepts of artificial intelligence and the implementation in new hardware architecture are discussed. In the context of artificial intelligence, new challenges of machine learning for autonomous vehicles and fleets are investigated. The book also investigates human factors and social questions of future mobility concepts. The goal of this book is to provide a holistic approach towards smart transportation. The book reviews new technologies such as the cloud, machine learning and communication for fully atomatized transport, catering to the needs of citizens. This will lead to complete change of concepts in transportion.
Optimal Decision Making In Operations Research And Statistics
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Author : Irfan Ali
language : en
Publisher: CRC Press
Release Date : 2021-11-29
Optimal Decision Making In Operations Research And Statistics written by Irfan Ali and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-29 with Business & Economics categories.
The book provides insights in the decision-making for implementing strategies in various spheres of real-world issues. It integrates optimal policies in various decisionmaking problems and serves as a reference for researchers and industrial practitioners. Furthermore, the book provides sound knowledge of modelling of real-world problems and solution procedure using the various optimisation and statistical techniques for making optimal decisions. The book is meant for teachers, students, researchers and industrialists who are working in the field of materials science, especially operations research and applied statistics.
Artificial Intelligence And Machine Learning
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Author : Khalid S. Soliman
language : en
Publisher: Springer Nature
Release Date : 2025-01-30
Artificial Intelligence And Machine Learning written by Khalid S. Soliman and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-30 with Computers categories.
The two-volume proceedings set CCIS 2299 and 2300, constitutes the refereed proceedings of the 43rd IBIMA Conference on Artificial intelligence and Machine Learning, IBIMA-AI 2024, held in Madrid, Spain, in June 26–27, 2024. The 44 full papers and 18 short papers included in this book were carefully reviewed and selected from 119 submissions. They were organized in topical sections as follows: Part I: Artificial Intelligence and Machine Learning; Information Systems and Communications Technologies. Part II: Artificial Intelligence and Machine Learning ; Software Engineering; Computer Security and Privacy.
International Conference On Artificial Intelligence And Sustainable Engineering
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Author : Goutam Sanyal
language : en
Publisher: Springer Nature
Release Date : 2022-05-03
International Conference On Artificial Intelligence And Sustainable Engineering written by Goutam Sanyal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-03 with Technology & Engineering categories.
This book comprises select papers from the International Conference on Artificial Intelligence and Sustainable Engineering (AISE 2020). The volume focuses on the recent advancements in artificial intelligence and addresses how it is useful in achieving truly sustainable solutions. The key strands of this book include artificial intelligence in healthcare, IoT for modern life, security and surveillance, big data analytics, machine learning and computing, communication technologies, gesture technology, virtual intelligence, and audio & speech processing. The book addresses sustainability challenges in various computing techniques and opportunities for sustainable engineering based on AI and supporting tools such as engineering design for sustainable development using IoT/AI, smart cities: waste minimization, remanufacturing, reuse and recycling technologies using IoT/AI, industry 4.0, intelligent and smart grid systems, energy conservation using technology, green engineering/technology, robotic process automation (RPA) and water and air quality management. This book can be a valuable resource for academicians, researchers, and professionals working in AI and its applications.
Data Driven Modelling With Fuzzy Sets
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Author : Said Broumi
language : en
Publisher: CRC Press
Release Date : 2024-07-17
Data Driven Modelling With Fuzzy Sets written by Said Broumi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-17 with Computers categories.
Zadeh introduced in 1965 the theory of fuzzy sets, in which truth values are modelled by numbers in the unit interval [0, 1], for tackling mathematically the frequently appearing in everyday life partial truths. In a second stage, when membership functions were reinterpreted as possibility distributions, fuzzy sets were extensively used to embrace uncertainty modelling. Uncertainty is defined as the shortage of precise knowledge or complete information and possibility theory is devoted to the handling of incomplete information. Zadeh articulated the relationship between possibility and probability, noticing that what is probable must preliminarily be possible. Following the Zadeh’s fuzzy set, various generalizations (intuitionistic, neutrosophic, rough, soft sets, etc.) have been introduced enabling a more effective management of all types of the existing in real world uncertainty. This book presents recent theoretical advances and applications of fuzzy sets and their extensions to Science, Humanities and Education. This book: Presents a qualitative assessment of big data in the education sector using linguistic Quadri partitioned single valued neutrosophic soft sets. Showcases application of n-cylindrical fuzzy neutrosophic sets in education using neutrosophic affinity degree and neutrosophic similarity Index. Covers scientific evaluation of student academic performance using single value neutrosophic Markov chain. Illustrates multi-granulation single-valued neutrosophic probabilistic rough sets for teamwork assessment. Examines estimation of distribution algorithm based on multiple attribute group decision-making to evaluate teaching quality. It is primarily written for Senior undergraduate and graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science and engineering.
Artificial Intelligence Applications To Traffic Engineering
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Author : Maurizio Bielli
language : en
Publisher: VSP
Release Date : 1994-05
Artificial Intelligence Applications To Traffic Engineering written by Maurizio Bielli and has been published by VSP this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-05 with Technology & Engineering categories.
In recent years the applications of advanced information technologies in the field of transportation have affected both road infrastructures and vehicle technologies. The development of advanced transport telematics systems and the implementation of a new generation of technological options in the transport environment have had a significant impact on improved traffic management, efficiency and safety. This volume contains contributions from scientific and academic centres which have been active in this field of research and provides an overview of applications of AI technology in the field of traffic control and management. The topics covered are: -- current status of AI in transport -- AI applications in traffic engineering -- in-vehicle AI
Handbook On Decision Making
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Author : Chee Peng Lim
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-09-07
Handbook On Decision Making written by Chee Peng Lim and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-09-07 with Technology & Engineering categories.
Decision making arises when we wish to select the best possible course of action from a set of alternatives. With advancements of the digital technologies, it is easy, and almost instantaneous, to gather a large volume of information and/or data pertaining to a problem that we want to solve. For instance, the world-wi- web is perhaps the primary source of information and/or data that we often turn to when we face a decision making problem. However, the information and/or data that we obtain from the real world often are complex, and comprise various kinds of noise. Besides, real-world information and/or data often are incomplete and ambiguous, owing to uncertainties of the environments. All these make decision making a challenging task. To cope with the challenges of decision making, - searchers have designed and developed a variety of decision support systems to provide assistance in human decision making processes. The main aim of this book is to provide a small collection of techniques stemmed from artificial intelligence, as well as other complementary methodo- gies, that are useful for the design and development of intelligent decision support systems. Application examples of how these intelligent decision support systems can be utilized to help tackle a variety of real-world problems in different - mains, e. g. business, management, manufacturing, transportation and food ind- tries, and biomedicine, are also presented. A total of twenty chapters, which can be broadly divided into two parts, i. e.
Trustworthy Artificial Intelligence In Industry And Society
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Author : Dimple Patil
language : en
Publisher: Deep Science Publishing
Release Date : 2024-10-17
Trustworthy Artificial Intelligence In Industry And Society written by Dimple Patil 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 2024-10-17 with Computers categories.
Artificial Intelligence (AI) is evolving at an unprecedented rate, changing industries and reshaping social landscapes. However, the question still stands: how can we make sure that, even with this growth, AI stays ethical and trustworthy? In an effort to investigate this issue, the book Trustworthy Artificial Intelligence in Industry and Society provides a thorough analysis of AI's potential to promote resilience, accountability, and trust in a variety of contexts. Chapter 1 explores the essential need for transparent and interpretable AI systems, starting with the foundation of Explainable Artificial Intelligence (XAI) and laying the framework for fostering trust among users, stakeholders, and society at large. In Chapter 2, deep learning and machine learning are explored, along with their applications, methods, and implementation challenges. In Chapter 3, the book delves into the impact of artificial intelligence (AI) on Environmental, Social, and Governance (ESG) initiatives. It specifically highlights the applications of AI in the financial services and investment sectors. We look at the adoption and application of AI in the construction sector in Chapter 4, offering some insight into the drivers, patterns, and obstacles that will shape the technology's future. The use of AI to improve supply chain sustainability and revolutionize the transportation industry is covered in Chapters 5 and 6, with a focus on generative AI technologies and ethical issues. Chapter 7 explores how artificial intelligence is affecting customer relationship management, highlighting how sentiment analysis is transforming customer loyalty and experience. This book seeks to shed light on the opportunities and difficulties that artificial intelligence (AI) brings to business and society by exploring these areas.