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Application and Development of Data Simulation and Mechanical Analysis in Civil Engineering: ICCE 2024 (Sustainable Civil Infrastructures)
by Bo Zhang Guangliang Feng Xiao-Yong Wang Junxian Zhao Ana Almerich-ChuliaThe proceedings of the 11th International Conference on Civil Engineering are mainly aimed at middle and senior engineering and technical personnel in the field of civil engineering. It mainly reports the development of various professional fields of civil engineering, major civil engineering records, important achievements and development status of building structures, bridge structures, geotechnical mechanics and foundations, tunnels and underground structures, road and traffic engineering, construction management and other majors in scientific research and design, and also publishes papers and reports that are intersecting or closely related to the above majors in building materials, ports, water conservancy, computer applications, mechanics, disaster prevention and mitigation, etc. The purpose of this dissertation is to promote academic exchanges in the field of civil engineering at home and abroad.
Application and Extension of Numerical Methods in Heating Pipeline
by Qian XuThis book is a summary of the author's pioneering work on the theory of heating pipelines and its application expansion over the years, trying to establish a complete logical system from the basic theory of pipelines to the application of heating pipelines to the innovation and expansion of large-diameter energy transmission pipelines. These esoteric fundamental theories are linked to practical applications, and numerical simulations are used to help readers understand the problems faced by pipelines in engineering practice. The book consists of four chapters, the first chapter describes the basic concepts of district heating system, related standards, development history, facing problems and future prospects, while for the basic characteristics of district heating pipe network installation and laying methods made an introduction; followed by the second chapter summarizes and organizes the pipeline safety research of fluid-solid heat, elastic-plasticity and other basic theories, as well as heating pipeline thermal insulation system heat loss and the economic evaluation of theory and so on. Based on the basic theory of pipeline, the third and fourth chapters introduce several typical pipeline application cases in detail, and each case includes modelling, solving, and result analysis, which can provide readers with technical references and idea guidelines in the field of pipeline research. The third chapter of the different structures of the heating pipeline from the safety and economic aspects of a detailed numerical study; the fourth chapter in the heating pipeline on the basis of energy transportation pipeline, transportation medium from the original hot water, hot steam to the oil and gas, specifically introduced various types of large-diameter energy transportation pipeline under the action of different loads of the dynamic response characteristics. It has important theoretical significance for enriching and developing the basic theory of pipeline and the expansion of all kinds of pipeline applications, and at the same time, it provides technical guidance for the safe, stable, economic and efficient operation of all kinds of long-distance pipelines, such as heating pipelines and energy transmission and transportation pipelines. It helps readers to systematically and comprehensively understand the basic theories of elasticity and plasticity, fluid-solid-thermal coupling, and economic evaluation of pipelines, and at the same time provides readers with new research ideas and technical means from the perspective of scientific research.
Application and Theory of Petri Nets and Concurrency: 46th International Conference, PETRI NETS 2025, Paris, France, June 22–27, 2025, Proceedings (Lecture Notes in Computer Science #15714)
by Łukasz Mikulski Elvio AmparoreThis book constitutes the proceedings of the 46th International Conference on Application and Theory of Petri Nets and Concurrency, PETRI NETS 2025, held in Paris, France, during June 22–27, 2025. The 21 full papers and 1 short paper included in this book were carefully reviewed and selected from 48 submissions. They deal with topics such as composition and synthesis; workflow nets; process mining; model checking; communication & concurrency; timed and stochastic Petri nets; etc. The proceedings also include one invited talk in full paper length.
Application of Advance Techniques in Power and Energy Systems: Select Proceedings of International Conference, CISTEE 2023 (Lecture Notes in Electrical Engineering #1305)
by Mohan Lal Kolhe Aashish Kumar Bohre Partha Sarathee Bhowmik Mukesh Kumar Kirar S. SuwarnoThis book features high-quality research papers presented at the International Conference on Computational Intelligence and Smart Technologies in Electrical Engineering (CISTEE 2023). The book offers cutting-edge solutions and applications used for predictive modeling and sustainable development of power and energy systems with the application of computational intelligence and smart technologies. It discusses the use of different practical developments and brings together the experiences of leading experts in power and energy areas and the sustainability of various solutions concerning the technical, social, and economic aspects. This book presents the perfect balance between depth and breadth of knowledge, which makes it ideal for students and researchers.
Application of Finite Element Analysis for Fracture and Damage Mechanics
by Zhaochun YangApplication of Finite Element Analysis for Fracture and Damage Mechanics focuses on the finite element analysis of various material models and their relevant fracture and damage models using this advanced software. The book consists of three parts: Part I introduces the various material models, Part II highlights the finite element modeling of their relevant fracture parameters, and Part III deals with various material damage models. Each part begins with a simple problem with theoretical results compared with finite element results to help readers understand the numerical simulation results. Discusses material models such as composite, elastic, elastoplastic, and creep models Covers fracture parameters like K, J, C*, and VCCT Presents relevant material damage models (ductile, creep, and composite) Explores typical and complex problems, including the inclined crack model, penny shaped crack model, compact tension specimen, end-loaded split (ELS) model, double cantilever beam (DCB) model, and notched model Includes all modeling files, such as APDL input files, Python code and creep damage subroutine, in the appendixes Written for materials and mechanical engineers, this text addresses and provides solutions to the real-life engineering challenge of damage and fracture in materials and structures.
Application of Fluorescence Spectroscopy in Food Quality and Control
by Romdhane KarouiThough fluorescence is a long-established analytical method, it has only recently gained prominence as a valuable tool in food technology. As a particularly sensitive analytical technique, fluorescence spectroscopy allows for the precise identification of various components (functional, compositional and nutritional) of food products, including contaminants and additives. The introduction of new commercially available instruments for fluorescence analysis, coupled with improvements in time resolution and in the instrumentation of both its hardware and software, have given risen to a sharp increase in the technique&’s popularity. Presently, it is a rapidly evolving analytical tool used in determining food product quality and authenticity across the industry. While typically discussed alongside other analytical techniques such as mid infrared, near infrared and Raman, the use of fluorescence spectroscopy in food quality control has not been covered in a dedicated, up-to-date volume in several decades. Application of Fluorescence Spectroscopy in Food Quality is a long overdue and unprecedented guide to fluorescence spectroscopy&’s modern application in food quality and safety control. This book covers the fundamentals of the technique, before delving into its application to the quality control of various food products, ranging from vegetable and animal foods to cereals, honey and coffee. Multivariate descriptive and predictive methods for qualitative and quantitative analysis, respectively, will also be discussed. Experts from across the globe provide thorough explanations of fluorescence spectroscopy&’s uses, while offering comment on the technique&’s main advantages for the industry, as well as its limitations. This book will be invaluable to both those looking for an introduction to fluorescence spectroscopy, as well as those who are familiar with the technique and interested learn more about recent advances in the technology and its individual applications.
Application of Generative AI in Healthcare Systems
by Azadeh Zamanifar Miad FaezipourGenerative AI has immensely influenced various fields, such as education, marketing, art and music, and especially healthcare. Generative AI can benefit the patient through various approaches. For instance, it can enhance the image qualities negatively affected by radiation reduction, preventing patients from needing to repeat the image-taking process. Also, the generation of one type of image from another more expensive one can help patients save funds. Generative AI facilitates the administrative process, letting the doctor focus more on the treatment process. It even goes further by helping medical professionals with diagnosis and decision- making, suggesting possible treatment plans according to the patient symptoms. This book introduces several practical GenAI healthcare applications, especially in medical imaging, pandemic prediction, synthetic data generation, clinical administration support, professional education, patient engagement, and clinical decision support, providing a review of efficient GenAI tools and frameworks in this area. GenAI empowers the treatment process through several methods; however, some ethical, privacy, and security challenges require attention. Despite the challenges presented, GenAI technological and inherited characteristics smooth the path of improvement for it in the future.
Application of Geospatial Technology and Modelling on Natural Resources Management: Current State, Challenges and Sustainability (Advances in Geographic Information Science)
by Prem C. Pandey Uday Chatterjee Sandipan Das Onisimo Mutanga Suvarna Tikle Mengjiao Jiang Akash AnandThis contributed volume provides coverage of geospatial technology and modelling techniques that are useful for natural resource assessment at various scales, from regional to global. This makes it a valuable resource for researchers, practitioners, scientists, faculties and students interested in understanding how geospatial tools can be used to assess natural resources. The book provides numerous examples of how geospatial technology and modeling can be applied to different natural resource management scenarios, including forest management, wildlife conservation, water resources management, and climate change adaptation. The book takes an interdisciplinary approach to natural resource management, bringing together perspectives from ecology, environment, geography, geology, and other fields.
Application of Low Cost Ceramic Membranes in Wastewater Treatment: Issues on Reusability of Treated Water (Materials Horizons: From Nature to Nanomaterials)
by Sibdas BandyopadhyayThis book reviews the status of developing tailor-made low-cost membranes and membrane-based separation processes for applications in wastewater treatment. It also presents an overview of industry-specific case studies upholding the waste-to-resource strategy for utilization of low-cost ceramic membranes in industrial wastewater treatment. This book highlights methods, results, and examples demonstrating that low-cost ceramic membranes possess similar features and advantages comparable to the commercially available ceramic membranes, thereby minimizing the prohibitive cost of their usage in wastewater treatment. Thus, the readers who are looking for more economical alternatives for wastewater treatment can be introduced with the cheaper membrane materials. It also discusses the selection and method of application of such membranes in the treatment processes. This book can serve as a valuable reference for researchers and professionals interested in wastewater treatment and allied fields.
Application of Near-infrared Fluorescence Imaging in Cancer Surgery
by Li Liu Guo-Jun Zhang Jia-Hong Dong Jing-Wen BaiThis book provides a comprehensive introduction to the development and application of near-infrared fluorescence (NIRF) in cancer surgery. It thoroughly examines the history, principles, agents, functions, and devices associated with NIRF, along with the latest preclinical research and clinical applications. Special emphasis is placed on the advancements in the second NIRF window and its global implementation in cancer surgery, including innovative molecular imaging technologies in clinical translation. Additionally, the book explores the limitations and potential solutions of NIRF, offering insights into its future trends and perspectives. It serves as a valuable resource for university researchers, surgeons, radiologists, and both undergraduate and graduate students in medicine.
Application of Self-Nanoemulsifying Drug Delivery Systems in Inflammatory Diseases
by Kamal Dua Harish Dureja Keshav Raj Paudel Sachin Kumar Singh Samir Mehndiratta Gabriele De RubisThis book discusses the potential application of self-nanoemulsifying drug delivery systems (SNEDDS) in different inflammatory diseases. It introduces the fundamental principles of SNEDDS, their formulation components, and characterization techniques, providing insights into their mechanisms of drug delivery and formulation optimization. The book also explores the potential of various combination therapies with SNEDDS, highlighting strategies, synergistic effects, and challenges. Furthermore, the chapters in the book highlight the applications of SNEDDS in specific inflammatory diseases, including diabetes, brain diseases, colorectal diseases, cardiovascular diseases, lung diseases, and cancer. Towards the end, the book evaluates the potential toxic effects of SNEDDS components and addresses safety considerations, regulatory aspects, patents, and clinical trials pertaining to SNEDDS. This book is intended for researchers, pharmacologists, pharmaceutical scientists, and clinicians involved in drug delivery and nanomedicine.
Application of Smart Technologies in Power System and Smart Grid: Select Proceedings of International Conference, CISTEE 2023 (Lecture Notes in Electrical Engineering #1296)
by Sri Niwas Singh Mohan Lal Kolhe Aashish Kumar Bohre Partha Sarathee Bhowmik Manisha DubeyThis book features high-quality research papers presented at the International Conference on Computational Intelligence and Smart Technologies in Electrical Engineering (CISTEE 2023). The book offers cutting-edge solutions and applications for predictive modeling and sustainable development of power and energy systems with the application of computational intelligence and smart technologies. It discusses the use of different practical developments. The book discusses practical developments and consolidates the insights of leading experts in power and energy, focusing on the technical, social, and economic aspects of sustainable solutions. This book is well-suited for students and researchers with its comprehensive knowledge.
Application of Surface Acoustic Waves in Gas Sensors: Theoretical Models and Advanced Sensor Structures (Springer Series in Surface Sciences #69)
by Wiesław JakubikThis textbook covers key aspects of applying surface acoustic waves (SAW) in gas sensors, presenting fundamental operating principles, theoretical models, research methodologies, and sensor structures in a clear and accessible manner. It discusses single, bilayer, and multilayer sensor structures, along with a detailed theoretical description of the acoustoelectrical effect in bilayer sensors. Special attention is given to semiconductor-metal bilayer structures, such as phthalocyanine-palladium and tungsten oxide-palladium, due to their strong potential for practical applications in SAW hydrogen sensors. The book also explores future applications and research directions, including advancements in light-activated photoconductive polymer structures.
Applications and Techniques in Information Security: 14th International Conference, ATIS 2024, Tamil Nadu, India, November 22-24, 2024, Proceedings (Communications in Computer and Information Science #2306)
by Gang Li V. S. Shankar Sriram Shiva Raj Pokhrel Anila Glory H.This book constitutes the refereed proceedings of the 14th International Conference, on Applications and Techniques in Information Security, ATIS 2024, held in Tamil Nadu, India, November 22-24, 2024. The 24 full papers presented were carefully reviewed and selected from 149 submissions. The conference focuses on Advancing Quantum Computing and Cryptography; AI-Driven Cybersecurity: The Role of Machine Learning; Advancing Cybersecurity with Deep Learning Techniques; and Securing Connected Systems: IoT, Cloud, and Web Security Strategies.
Applications in Electronics Pervading Industry, Environment and Society: APPLEPIES 2024 (Lecture Notes in Electrical Engineering #1369)
by Francesco Bellotti Riccardo Berta Massimo Ruo Roch Maurizio Martina Paolo Motto RosThis book provides a thorough overview of cutting-edge research on electronics applications relevant to industry, the environment, and society at large. It covers a broad spectrum of application domains, from automotive to space and from health to security, while devoting special attention to the use of embedded devices and sensors for imaging, communication, and control. The book is based on the 2024 ApplePies Conference, held in Turin, Italy, on September 19–20, 2024, which brought together researchers and stakeholders to consider the most significant current trends in the field of applied electronics and to debate visions for the future. Areas addressed by the conference included information communication technology; biotechnology and biomedical imaging; space; secure, clean, and efficient energy; the environment; and smart, green, and integrated transport. As electronics technology continues to develop apace, constantly meeting previously unthinkable targets, further attention needs to be directed toward the electronics applications and the development of systems that facilitate human activities. This book, written by industrial and academic professionals, represents a valuable contribution in this endeavor.
Applications of AI for Interdisciplinary Research
by Sukhpal Singh GillApplying artificial intelligence (AI) to new fields has made AI and data science indispensable to researchers in a wide range of fields. The proliferation and successful deployment of AI algorithms are fuelling these changes, which can be seen in fields as disparate as healthcare and emerging Internet of Things (IoT) applications. Machine learning techniques, and AI more broadly, are expected to play an ever-increasing role in the modelling, simulation, and analysis of data from a wide range of fields by the interdisciplinary research community. Ideas and techniques from multidisciplinary research are being utilised to enhance AI; hence, the connection between the two fields is a two-way street at a crossroads. Algorithms for inference, sampling, and optimisation, as well as investigations into the efficacy of deep learning, frequently make use of methods and concepts from other fields of study. Cloud computing platforms may be used to develop and deploy several AI models with high computational power. The intersection between multiple fields, including math, science, and healthcare, is where the most significant theoretical and methodological problems of AI may be found. To gather, integrate, and synthesise the many results and viewpoints in the connected domains, refer to it as interdisciplinary research. In light of this, the theory, techniques, and applications of machine learning and AI, as well as how they are utilised across disciplinary boundaries, are the main areas of this research topic. This book apprises the readers about the important and cutting-edge aspects of AI applications for interdisciplinary research and guides them to apply their acquaintance in the best possible manner This book is formulated with the intent of uncovering the stakes and possibilities involved in using AI through efficient interdisciplinary applications The main objective of this book is to provide scientific and engineering research on technologies in the fields of AI and data science and how they can be related through interdisciplinary applications and similar technologies This book covers various important domains, such as healthcare, the stock market, natural language processing (NLP), real estate, data security, cloud computing, edge computing, data visualisation using cloud platforms, event management systems, IoT, the telecom sector, federated learning, and network performance optimisation. Each chapter focuses on the corresponding subject outline to offer readers a thorough grasp of the concepts and technologies connected to AI and data analytics, and their emerging applications
Applications of Accelerators in the Quantum Technology Era
by David Jamieson André Schleife Andrew BettiolThis book explores new experimental techniques and theoretical models to deepen an understanding of radiation effects and ion interaction processes in order to design materials for devices for the emerging quantum technology era.Applications include tailored sensors that respond to ionizing radiation and other electromagnetic phenomena; sensors with high radiation hardness; and materials that contain specific engineered defects with desirable optical, magnetic, or electrical properties.The chapters detail direct experimental investigations into the dynamics of radiation-induced defects, including their generation, annihilation, and transformation, on a time scale ranging from femto-seconds to seconds which requires a more detailed understanding to develop the potential of ion beams for the new technology era.It will be a valuable reference for graduate students and researchers that employ ion beams and want to engage in quantum technologies. The book will also be of interest to scientists and engineers from industry that want to make use of ion beams in quantum technologies or learn more about the potential use of ion beams in the field.Key Features:• Provides a comprehensive introduction to this exciting and growing field of research.• Up-to-date with the latest cutting-edge research and practical guidance for researchers and those in industry to apply to their work.• Edited by established authorities, with chapter contributions from subject-area specialists.
Applications of Artificial Intelligence in 5G and Internet of Things: Proceedings of the 1st International Conference on Applications of AI In 5G And IoT (ICAAI5GI2024), 9–10 August 2024, Greater Noida, India
by Varadraj Gurupur Lalit Garg Vinod M. Kapse Pavan Kumar Shukla Amit Krishna DwivediThis is the proceedings of the 1st International Conference on Applications of AI in 5G and IoT (ICAAI5GI2024). It brings together ground-breaking research and practical insights into integrating Artificial Intelligence within 5G and the Internet of Things (IoT).This compilation highlights the latest advancements and innovative solutions emerging at the intersection of AI, 5G, and IoT technologies. It also delves into a wide array of topics, including the role of AI in enhancing 5G network efficiency, the development of intelligent IoT devices, and the creation of smart environments powered by these cutting-edge technologies. It further showcases key findings on AI-driven applications in 5G for seamless communication, improved connectivity, and advanced data processing techniques, along with IoT solutions for smart cities, industrial automation, healthcare, and beyond.It would be a valuable read for researchers, engineers, and professionals in AI, 5G, IoT, and related fields. It serves as an essential resource for those seeking to stay at the forefront of technological advancements in these rapidly evolving domains.
Applications of Artificial Intelligence in Common Dermatological Diseases (Updates in Clinical Dermatology)
by Howard I. Maibach Esraa M. AlEdaniThis book is first authoritative and comprehensive volume that dedicated to the role of artificial intelligence in common dermatological diseases. This book provides up to date and highly illustrated synopsis of the machine learning and convolutional neural network. Chapters address the effective usage of artificial intelligence in common dermatological diseases, and the role of learning machine in each disease, and how it helps in diagnosis and fasten the healing process. For example, It describes the usage of AI in early skin cancer detection, in acne vulgarism grading etc.This book is a valuable resource for dermatologists, medical students, and residents in dermatological specialty.
Applications of Big Data and Machine Learning in Galaxy Formation and Evolution (Series in Astronomy and Astrophysics)
by Tsutomu T. TakeuchiAs investigations into our Universe become more complex, in-depth, and widespread, galaxy surveys are requiring state-of-the-art data scientific methods to analyze them. This book provides a practical introduction to big data in galaxy formation and evolution, introducing the astrophysical basics, before delving into the latest techniques being introduced to astronomy and astrophysics from data science. This book helps translate the cutting-edge methods into accessible guidance for those without a formal background in computer science. It is an ideal manual for astronomers and astrophysicists, in addition to graduate students and postgraduate students in science and engineering looking to learn how to apply data-science to their research.Key Features: Introduces applications of data-science methods to the exciting subject of galaxy formation and evolution Provides a practical guide to understanding cutting-edge data-scientific methods, as well as classical astrostatistical methods Summarises a vast range of statistical and informatics methods in one volume, with concrete applications to astrophysics
Applications of Blockchain Technology in E-Business Value Chains
by Josepha WittBlockchain Technology (BCT) is explored as a substantial part of the next generation of the Internet affecting business models in e-business. This book explores the application of BCT in e-business focusing on the value creation. The research objective is to examine how and why BCT is used in e-business value chains. This objective is reached through a pragmatic multimethod approach combining four studies. Study 1 summarises the state-of-the-art of approaches to assess a BCT fit for a particular scenario and outlines shortcomings resulting from these approaches. Study 2 provides empirical insights into the usage of BCT in four e-business value chains based on the cases Theta (content), OpenBazaar (commerce), Presearch (context), and Crypviser (connection). Study 3 deepens the insights in the e-commerce value chain. By means of a qualitative content analysis of news articles, various BCT application domains for each e-commerce activity are presented. Study 4 narrows the perspective of analysis to e-negotiations, proposes a BC-based negotiation support system and examines its opportunities and challenges. Finally, an integrative discussion of the findings results in two explanations how BCT is applied in e-business.
Applications of Blockchain and Artificial Intelligence in Finance and Governance (Artificial Intelligence for Sustainability)
by Dac-Nhuong Le P. Karthikeyan A M Viswa BharathyIn the rapidly evolving landscape of finance and governance, the integration of blockchain technology and artificial intelligence is reshaping the way we perceive and interact with traditional systems. In Applications of Blockchain and Artificial Intelligence in Finance and Governance, the authors delve into the intricacies of this dynamic intersection, offering a comprehensive exploration of the transformative potential of these cutting-edge technologies. From dissecting the symbiotic relationship between artificial intelligence and blockchain to examining their profound impact on cryptocurrency markets, each chapter offers invaluable insights into the role of these technologies in shaping the future of finance. With a meticulous review of open risks and challenges, the book navigates through the complexities of data security in public and consortium blockchain systems, paving the way for enhanced trust and transparency in financial transactions. Through real-world case studies and theoretical frameworks, readers are guided through the application of intelligent resource allocation for data analytics, unlocking the potential for optimized decision-making in blockchain-enabled financial transactions. Moreover, the book explores the revolutionary implications of blockchain and AI in maintaining smart governance records, revolutionizing accountability and efficiency in public administration.This book: Introduces a step-by-step procedure for developing blockchain and artificial intelligence-based applications for the finance industry using decentralized applications and hyperledgers. Discusses improved trust framework and data integrity in the blockchain using artificial intelligence in the finance sector. Highlights the importance of blockchain in solving transaction costs, coordination costs, and supervision costs for efficient resource allocation. Explores the use of explainable artificial intelligence for policy development, service delivery, and regulatory compliance. Explains how federated learning can be used to build more accurate and robust models for financial risk assessment, fraud detection, and customer profiling. From the transformative effects on the accounting profession to the burgeoning adoption of blockchain technology in supply chain finance, this book serves as an indispensable guide for professionals, academics, and enthusiasts alike. Applications of Blockchain and Artificial Intelligence in Finance and Governance illuminates the path toward a more secure, efficient, and equitable financial future, where innovation and collaboration reign supreme.
Applications of Blockchain and Computational Intelligence in Environmental Sustainability (Computational Intelligence Techniques)
by Hamed Taherdoost Mohsen Saeedi Aydin ShishegaranThe book explores the complex correlation between blockchain technology and sustainability, demonstrating the potential of cutting-edge computational intelligence methods to address critical environmental and societal challenges. It provides a comprehensive analysis of the most recent developments in research, innovative approaches to design, and real-world implementations, establishing a strategic plan for the incorporation of blockchain technology into environmentally friendly solutions. Features: Focuses on the intersection of blockchain technology, computational intelligence, and sustainability. Covers international regulatory landscapes and ethical considerations. Emphasizes real-world applications such as supply chain management systems and smart energy networks. Offers concrete examples of how these technologies contribute to sustainability. Provides insight into how new technologies are transforming health informatics. This book is aimed at graduate students and researchers in computer engineering and environmental sustainability.
Applications of Computational Intelligence: 7th IEEE Colombian Conference, ColCACI 2024, Pamplona, Colombia, July 17–19, 2024, Revised Selected Papers (Communications in Computer and Information Science #2212)
by Alvaro David Orjuela-Cañón Oscar J. Suarez Jesus A. LopezThis book CCIS 2212 constitutes the referred proceedings of the 7th IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2024, held in Pamplona, Colombia, during July 17–19, 2024. The 11 full papers were carefully reviewed and selected from 35 submissions. They explore various topics in the area of computational intelligence (CI), such as solar and photovoltaic forecasting, microseismical signal analysis, LLM performance analysis, evolution in translate systems, recognition of actors and peacebuilding, control in autonomous vehicles, and electroencephalography signals analysis.
Applications of Computational Learning and IoT in Smart Road Transportation System (Springer Tracts on Transportation and Traffic #22)
by Hong Qin Saurav Mallik Tanvir Habib Sardar Subrata Nandi Munshi Yusuf Alam Arup RoyThis book discusses machine learning and AI in real-time image processing for road transportation and traffic management. There is a growing need for affordable solutions that make use of cutting-edge technology like artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT). The efficiency, sustainability, and safety of transport networks can be greatly increased by implementing an Internet of Things (IoT) and machine learning (ML)-based smart road transport system. Install sensors on roadways and intersections to gather data on traffic conditions in real time, such as vehicle density, speed, and flow. Predicting traffic patterns is done by analyzing the gathered data using machine learning algorithms. This can lessen traffic, enhance overall traffic management, and optimize traffic signal timings. Vehicles equipped with Internet of Things devices can have their health monitored in real time. Parameters including lane changes, brake condition, tire pressure, and engine performance can all be monitored by sensors. Based on the gathered data, ML models are used to forecast probable maintenance problems. By scheduling preventive maintenance, failures can be avoided and overall road safety can be increased. Create a smartphone app that would enable drivers to locate parking spots in their area. To forecast parking availability based on past data, the time of day, and special events, apply machine learning algorithms. Integrate Internet of Things (IoT) sensors into fleet vehicles to monitor their performance, location, and fuel consumption. To maximize fleet efficiency, reduce fuel consumption, and plan routes more effectively, apply machine learning algorithms. Train ML models to forecast the quickest and most efficient routes with the help of historical data analysis. Route recommendations for drivers or fleet management systems can be constantly adjusted with real-time updates, which contain real-time data on road conditions, accidents, and construction. To guarantee smooth integration and efficient implementation, government organizations, transportation providers, and technology firms must work together.