Artificial Intelligence And Machine Learning For Smart Construction Enhancing Real Time Monitoring And Decision Making
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Artificial Intelligence And Machine Learning For Smart Construction Enhancing Real Time Monitoring And Decision Making
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Author : Shreeshail Heggond
language : en
Publisher: Deep Science Publishing
Release Date : 2025-03-26
Artificial Intelligence And Machine Learning For Smart Construction Enhancing Real Time Monitoring And Decision Making written by Shreeshail Heggond 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 2025-03-26 with Computers categories.
This book is designed to: Bridge the Knowledge Gap Many professionals in the construction industry are unfamiliar with how AI and ML can be applied to their daily workflows. This book serves as a guide, demystifying these technologies and explaining their practical applications in construction engineering. Highlight the Potential of AI/ML By showcasing real-world examples and case studies, the book illustrates how AI and ML are revolutionizing every phase of construction, from planning and design to execution and maintenance. Promote Efficient Decision-Making Construction projects are often delayed or exceed budgets due to inefficient decision-making and unforeseen challenges. AI and ML empower engineers and managers to predict potential issues, optimize resources, and make informed decisions in real time, minimizing delays and cost overruns. Emphasize Real-Time Monitoring Real-time monitoring has become a critical component of modern construction management. Using AI-powered sensors, drones, and IoT devices, project teams can continuously track progress, identify risks, and ensure quality control. This book explores these tools and their implementation in detail. Encourage Sustainable and Resilient Practices With growing concerns over environmental sustainability, this book highlights how AI and ML can contribute to eco-friendly construction practices. By optimizing material usage, reducing energy consumption, and predicting the lifecycle performance of structures, these technologies are paving the way for a more sustainable construction industry. Improve Project Outcomes Successful construction projects are defined by their ability to meet deadlines, stay within budget, and deliver quality results. This book demonstrates how AI and ML are becoming indispensable for achieving these goals by improving collaboration, automating repetitive tasks, and enabling predictive analytics.
Artificial Intelligence In Construction Engineering And Management
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Author : Limao Zhang
language : en
Publisher: Springer Nature
Release Date : 2021-06-18
Artificial Intelligence In Construction Engineering And Management written by Limao Zhang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-18 with Technology & Engineering categories.
This book highlights the latest technologies and applications of Artificial Intelligence (AI) in the domain of construction engineering and management. The construction industry worldwide has been a late bloomer to adopting digital technology, where construction projects are predominantly managed with a heavy reliance on the knowledge and experience of construction professionals. AI works by combining large amounts of data with fast, iterative processing, and intelligent algorithms (e.g., neural networks, process mining, and deep learning), allowing the computer to learn automatically from patterns or features in the data. It provides a wide range of solutions to address many challenging construction problems, such as knowledge discovery, risk estimates, root cause analysis, damage assessment and prediction, and defect detection. A tremendous transformation has taken place in the past years with the emerging applications of AI. This enables industrial participants to operate projects more efficiently and safely, not only increasing the automation and productivity in construction but also enhancing the competitiveness globally.
Designing Smart Homes
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Author : Juan Carlos Augusto
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-06-29
Designing Smart Homes written by Juan Carlos Augusto 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 2006-06-29 with Architecture categories.
The area of smart homes is fast developing as an emergent area which attracts the synergy of several areas of science. This volume offers a collection of contributions addressing how artificial intelligence (AI), one of the core areas of computer science, can bring the growing area of smart homes to a higher level of functionality where homes can truly realize the long standing dream of proactively helping their inhabitants in an intelligent way. After an introductory section to describe a smart home scenario and to provide some basic terminology, the following 9 sections turn special attention to a particular exemplar application scenario (provision of healthcare and safety related services to increase the quality of life) exploring the application of specific areas of AI to this scenario.
Highway Materials And Latest Technologies
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Author : Er. Abdul Ahad
language : en
Publisher: JEC PUBLICATION
Release Date :
Highway Materials And Latest Technologies written by Er. Abdul Ahad and has been published by JEC PUBLICATION this book supported file pdf, txt, epub, kindle and other format this book has been release on with Juvenile Fiction categories.
modern technology and materials for highways Students majoring in Civil Engineering, both B. E./B. Tech and M. E./M. Tech, will find this book useful. It will also be helpful for designers and engineers in practise. The book is divided into the following chapters: 1. Roadside Supplies, 2. Highway Material Classification, 3. Soil Below Grade 4. Pebble Aggregates; 5. Road Aggregate Tests 6. Material Bituminous, 7. Bitumen Tests; 8. Bituminous Mixtures; 9. The Most Recent Technologies for Building Highways, 10. Conclusion
Digital Twins For Smart Cities And Urban Planning
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Author : Mohammad Saif Wajid
language : en
Publisher: CRC Press
Release Date : 2025-05-26
Digital Twins For Smart Cities And Urban Planning written by Mohammad Saif Wajid and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-26 with Technology & Engineering categories.
This book discusses the concept of the digital twin, which has the potential to change how systems are managed and created. It also discusses the metaverse as a new technology with literary roots, cross-platform avatars, and artificial intelligence-related cybersecurity risks. Digital Twin for Smart Cities and Urban Planning: From Virtual to Reality provides practitioners with concrete problem-solving methodologies while covering the most recent and cutting-edge digital twin application technologies in diverse fields. It highlights the benefits of digital twins in terms of data visualization, real-time data analytics, and learning, which leads to increased confidence in decision-making. The book discusses the metaverse as a new technology with literary roots, cross-platform avatars, and artificial intelligence-related cybersecurity risks. It also evaluates the opportunities that DT can provide for smart cities and discusses the prerequisites for secure, safe, and sustainable smart cities. It also explores the mix between the industrial Internet of Things, artificial intelligence, machine learning, and software analytics with spatial network graphs to construct living digital simulation models that update and alter in response to changes in their physical counterparts. The chapters also focus on digital twin driven smart design which establishes a foundation for the adoption of digital twin technology in product design by drawing on the most recent industry practice and research. The book is an excellent resource for practitioners and scholars in manufacturing, operations research, and communications who are thinking about digitizing their assets and related services. It is also a helpful resource for graduate students and academics looking to better understand pioneering digital twins technologies.
Artificial Intelligence Machine Learning And Deep Learning For Sustainable Industry 5 0
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Author : Nitin Liladhar Rane
language : en
Publisher: Deep Science Publishing
Release Date : 2024-10-14
Artificial Intelligence Machine Learning And Deep Learning For Sustainable Industry 5 0 written by Nitin Liladhar Rane 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 2024-10-14 with Computers categories.
This book offers an insight into the applications of Artificial Intelligence (AI)- Machine Learning Algorithms and Deep Learning (DL) in Bigdata Analytics to Industry 4.0/5.0 and Society 5.0 with transformative power responsibly. It has delved into how these technologies are disrupting industries, fostering innovation, and solving age-old social problems-so that readers have an understanding of where the digital world is headed. These chapters cover the big picture subjects of using AI with Big data analytics aimed mostly at increasing industrial efficiency, healthcare optimization, retail transformation, construction industry transformation, autonomous vehicles development and environmental sustainability improvement. The book covers each of these technologies extensively applied to full chapters devoted to detail studies, methodologies and practical usages. One of the central concepts in the book is how we evolve from industry 4.0 to industry 5.0. Therefore, Industry 4.0 relies on the automation and data exchange in manufacturing technologies using cyber-physical systems, the Internet of Things and cloud computing route to intelligent factories. During this phase, it improves operational efficiency, predictive maintenance and real-time monitoring which lowers down time and other operating costs by considerable amount. As industries move towards Industry 5.0, a lot has been noted-human-oriented solutions that combine human creativity and intelligence with highly automated and distributed technological tools. More cooperation between humans and machines during such times will, therefore, result in more customized production aimed at sustainable processes. The book details how, thanks to digital twins-that is, innumerable virtual replicas of physical systems-the further step is taken, allowing for real-time data analysis and, consequently innovative ways of manufacturing where the interests of the workers and customers come first. The present book discusses how AI and big data analytics transcend industrial applications to meet more societal ends as society ushers in its fifth revolution. Society 5.0 postulates that a super-smart digital society will drive transformation in all aspects of life, ranging from health and education to planning urban resources and infrastructure and ensuring public safety. The combination of AI with Big Data makes personalized healthcare services possible, competent resource planning in cities, and environmental sustainability in place via predictive analytics or simulation models. One such industry in which significant changes are coming, according to AI and Big Data analytics, is healthcare. This book shows how these technologies improve diagnostic accuracy, enable personalized treatment plans, and optimize resource allocations. Predictive insights can predict outbreaks and admissions, which helps better preparedness against diseases and also optimizes health resource utilization. AI in medical imaging and anomaly detection strengthens the efficiency of professional health experts, thus delivering better patient outcomes. AI and big data analytics have further remodelled the retail industry by providing retailers profound insights into consumer behaviour and preferences. With this information, retailers can adopt person-segmented marketing techniques and optimize inventory levels while enabling high levels of customer service using AI-fuelled chatbots and virtual assistants. These technologies help retailers stay competitive in an ever-developing market environment by offering solutions structured based on individual needs expressed by customers. AI and big data analytics combine to form one synergy connected with autonomous vehicles. It further goes on to discuss the huge amount of data needed for training these AI models and big data analytics in refining the accuracy and safety of autonomous driving systems. Another critical area in which AI and Big Data Analytics make a considerable impact is environmental sustainability. By applying these analyses to large data sets relating to climatic changes, energy consumption, and natural resources, AI models can establish trends and recognize patterns indicating future changes. This predictive ability equips organizations and governments with tools to develop lower environmental footprints and promote sustainable practices proactively. It further explains AI-enabled energy management systems that drive optimized energy use in buildings to reduce carbon emissions and save on associated costs. This certainly looks like something for a vast readership: it speaks more to academics, professionals working in the industry, and decision-makers-but, really, to anybody who seeks to grasp the transformative powerfulness of AI and big data analytics. This source will provide information on overall guidance and a rich source of inspiration in using these technologies to enable innovation and sustainable development across different sectors. Actual case examples and practical applications are given to convey the knowledge and elements that readers need to know as they go about using AI and big data analytics. This book also includes discussions concerning the dynamic policy and regulatory scenes of AI, pointing out that it is necessary to have standard policies that should be implemented to have ethical deployment of AI that reduces risks. This book also focuses on challenges in implementing AI for intelligent and sustainable industries, meaning technical, ethical, and operational barriers. It outlines high costs, low-quality data, and the need for skilled professionals; ethical concerns and robust cybersecurity measures become necessary. As such, this book will engross an audience ranging from academics to industry professionals and policymakers working toward understanding and using AI and big data for sustainable development and technological advancement.
Applications Of Machine Learning
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Author : Prashant Johri
language : en
Publisher: Springer Nature
Release Date : 2020-05-04
Applications Of Machine Learning written by Prashant Johri and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-04 with Technology & Engineering categories.
This book covers applications of machine learning in artificial intelligence. The specific topics covered include human language, heterogeneous and streaming data, unmanned systems, neural information processing, marketing and the social sciences, bioinformatics and robotics, etc. It also provides a broad range of techniques that can be successfully applied and adopted in different areas. Accordingly, the book offers an interesting and insightful read for scholars in the areas of computer vision, speech recognition, healthcare, business, marketing, and bioinformatics.
Projectx India
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Author : Sandeep Sharma
language : en
Publisher: Sandeep Ravidutt Sharma
Release Date : 2024-12-01
Projectx India written by Sandeep Sharma and has been published by Sandeep Ravidutt Sharma this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-01 with Business & Economics categories.
Uncover New Opportunities with ProjectX India | 1st December 2024 Edition Accelerate your business growth with the latest ProjectX India | 1st December 2024 Edition—an essential resource for companies focused on business development in the Indian market. This edition brings you 311 carefully curated projects, contracts, and tenders across 60+ sectors and sub-sectors, offering valuable project leads to fuel your expansion efforts. Gain a competitive edge by accessing 100 new projects in the conceptual/planning stage, positioning your business to win contracts from the outset. Benefit from insights into 15 recent contract awards, highlighting the companies and sectors currently driving growth. Explore 33 projects under implementation for ongoing opportunities, and tap into 157 tenders to maintain a consistent stream of new business prospects. Researched and compiled for professionals in the construction, infrastructure, and industrial segments, these project leads provide actionable information to help you secure new deals, strengthen your market presence, and build strategic partnerships. Each edition of ProjectX India broadly covers Construction Projects, Infrastructure Projects, Industrial Projects, and Consultancy Opportunities. With ProjectX India, you gain the insights needed to identify and capitalize on the right opportunities that align with your growth strategy. Empower your business with the ProjectX India 1st December 2024 Edition and take the next step towards success in the dynamic Indian market.
International Conference On Advanced Intelligent Systems For Sustainable Development Ai2sd 2024
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Author : Mostafa Ezziyyani
language : en
Publisher: Springer Nature
Release Date : 2025-07-19
International Conference On Advanced Intelligent Systems For Sustainable Development Ai2sd 2024 written by Mostafa Ezziyyani and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-19 with Computers categories.
This book provides a dynamic platform for exploring groundbreaking advancements in intelligent systems for sustainable development. It offers readers’ access to the latest technologies and innovative solutions that address global challenges. Bringing together leading academics, pioneering researchers, and industry leaders fosters knowledge exchange across various fields such as health, education, agriculture, energy, and security. It enables readers to gain valuable insights, build strategic partnerships, and contribute to shaping a more sustainable future. This book bridges scientific research with practical applications and is ideal for researchers, practitioners, and decision-makers, driving progress across multiple disciplines.
Lidar In Construction Transforming Surveying Design And Project Management
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Author : Charles Nehme
language : en
Publisher: Charles Nehme
Release Date :
Lidar In Construction Transforming Surveying Design And Project Management written by Charles Nehme and has been published by Charles Nehme this book supported file pdf, txt, epub, kindle and other format this book has been release on with Business & Economics categories.
The construction industry is undergoing a technological revolution, and LiDAR (Light Detection and Ranging) is at the forefront of this transformation. From site surveying to autonomous construction vehicles, LiDAR is reshaping how projects are planned, executed, and monitored. This book explores the many applications of LiDAR in construction, demonstrating how it enhances accuracy, reduces costs, and improves safety. Over the years, traditional surveying and mapping methods have been time-consuming and prone to human error. However, LiDAR’s ability to generate high-resolution 3D models with pinpoint accuracy has changed the game. Today, construction professionals use LiDAR to integrate real-world data into Building Information Modeling (BIM), track project progress, detect structural defects, and even guide autonomous equipment. As this technology becomes more accessible, its impact on efficiency and sustainability in construction will only continue to grow. This book is designed for engineers, architects, project managers, and anyone interested in how LiDAR is transforming the construction landscape. Each chapter provides insights into a specific aspect of LiDAR applications, supported by real-world case studies and emerging trends. Whether you are new to LiDAR or looking to deepen your understanding of its role in construction, this book will serve as a practical guide to leveraging this powerful technology. The future of construction is here, and LiDAR is leading the way. Charles Nehme