Embedded Computer Systems: Architectures, Modeling, and Simulation
The two-volume set LNCS 15226 and 15227 constitutes the refereed proceedings of the 24th International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, SAMOS 2024, held in Samos, Greece, during June 29-July 4, 2024. The 24 full papers, 10 full papers in 2 special sessions and 4 poster session included in this book were carefully reviewed and selected from 57 submissions. This SAMOS 2024 covers the topics systems themselves - through their applications; architectures; and underlying processors - or methods created to automate their design.
Embedded Computer Systems: Architectures, Modeling, and Simulation
The two-volume set LNCS 15226 and 15227 constitutes the refereed proceedings of the 24th International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, SAMOS 2024, held in Samos, Greece, during June 29-July 4, 2024. The 24 full papers, 10 invited full papers and 4 poster papers included in the proceedings were carefully reviewed and selected from 57 submissions. They deal with embedded computer systems focusing on their applications; architectures; and underlying processors, as well as methods created to automate their design.
Application of Various Hydrological Modeling Techniques and Methods in River Basin Management
Hydrological models, ranging from conceptual to fully distributed frameworks, are essential for understanding and addressing water resource challenges. They offer innovative solutions to stabilize water balances and tackle pressing environmental issues such as droughts, floods, and water scarcity. Complementing these traditional methods, machine learning algorithms (MLAs) have proven highly effective in simulating complex hydrological processes, enabling improved predictions for flood forecasting, drought management, crop modeling, and freshwater allocation. This Special Issue of Water delves into cutting-edge advancements in hydrological modeling, highlighting the integration of remote sensing data and the application of MLAs to enhance the accuracy and efficiency of water resource management. From adapting novel machine learning techniques to assessing water balance components, the research in this collection addresses the critical challenges that are faced by watersheds worldwide. Featuring innovative approaches and practical applications, this Special Issue is an invaluable resource for researchers, practitioners, and policy-makers who are dedicated to advancing hydrological science and fostering sustainable water management solutions.
Human Power
The book challenges the view of technological determinism that portrays humans as powerless and flawed, and instead suggests that we need to reposition the different kinds of human power in technology politics and governance.
Intelligent Safety Monitoring and Prevention Process in Coal Mines
This Special Issue collects research papers relating to advances in intelligent safety monitoring and prevention in coal mines. The content covers the safety technology research of coal mine disaster mechanism and risk identification, coal mine disaster multi-information intelligent early warning, coal mine disaster prevention mechanisms, and their intelligent prevention and control. The findings highlight the critical role of technology in protecting workers' lives and ensuring the sustainability of coal mine operations. Our aim is to explore how advanced technologies can effectively reduce risks, prevent accidents, and improve overall safety management in the coal mining industry. We are committed to improving the safety of coal mine operations by identifying and mitigating potential hazards through intelligent monitoring systems. Promoting the safe and efficient, green development, and clean and efficient utilization of coal resources is the only way for the development of the coal industry, and it is also one of the important guarantees for achieving the goal of carbon peak and carbon neutrality. In order to achieve the goal of the safe and efficient mining of coal resources, the intelligence levels of coal mines must be improved. We have deeply studied the intelligent monitoring, early warning, and prevention of coal mine disasters, and contributed our strength to realize the intelligent control of the whole process of mine safety risks and ensure coal mine energy security and green mining.
Prefabricated and Modular Steel Structures
Prefabricated steel structures permit a large portion of the building to be manufactured in a factory, making it environmentally friendly and highly efficient. The modularized production of buildings has attracted extensive interest from engineers in recent years with growing environmental impact and increasing labor costs for traditional on-site construction. A steel-based module is the ideal structural form for modular construction, owing to its flexibility in architectural design, long span, lightweight, and convenience in connection.This reprint focuses on the cutting-edge research progress in prefabricated and modular steel structures. The topics of this reprint include development and application of different types of prefabricated steel structures, mechanical behavior and design of prefabricated modularized steel structures, and so on.
Data-Driven Intelligent Modeling and Optimization Algorithms for Industrial Processes
The aim of this Special Issue is to explore the multifaceted aspects of data-driven intelligent modeling and optimization algorithms for industrial processes. The main goals are to harness the power of data to improve control, decision making, and parameter optimization and to drive industrial systems to unprecedented levels of efficiency, reliability, and adaptability. Research areas within this scope include data-driven modeling, intelligent data representation, integrated/hybrid modeling, machine learning and optimization, advanced machine learning algorithms, hybrid models with optimization algorithms, adaptive learning algorithms, intelligent process monitoring, real-time data monitoring and analysis, soft sensing technologies, operation mode perception and recognition, decision support systems, intelligent decision support systems, the integration of optimization algorithms, and human-machine collaboration for improved decision making. These powerful intelligent algorithms use data for control, decision making, and parameter optimization, driving industrial systems to unprecedented levels of efficiency, reliability, and adaptability. By sharing their practice and insights in the development and application of these new technologies, the authors of the articles in this Reprint have demonstrated the value of data-driven intelligent modeling and optimization algorithms for industrial processes, providing readers with valuable ideological inspiration in the field.
Information-Theoretic Methods in Deep Learning
The rapid development of deep learning has led to groundbreaking advancements across various fields, from computer vision to natural language processing and beyond. Information theory, as a mathematical foundation for understanding data representation, learning, and communication, has emerged as a powerful tool in advancing deep learning methods. This Special Issue, "Information-Theoretic Methods in Deep Learning: Theory and Applications", presents cutting-edge research that bridges the gap between information theory and deep learning. It covers theoretical developments, innovative methodologies, and practical applications, offering new insights into the optimization, generalization, and interpretability of deep learning models. The collection includes contributions on: Theoretical frameworks combining information theory with deep learning architectures; Entropy-based and information bottleneck methods for model compression and generalization; Mutual information estimation for feature selection and representation learning; Applications of information-theoretic principles in natural language processing, computer vision, and neural network optimization.
Introduction to Bioinformatics and Clinical Scientific Computing
This textbook provides an introduction to computer science theory, informatics best practice, and the standards and legislation that apply to computing in a healthcare environment.
Blind and sighted users' experience of responsive web design
AI-Driven Network Security and Privacy
The security technology of new information technologies in scenarios such as smart life, smart cities, smart networks, etc., and the promotion and enhancement of the development of network security are mainly included here. New-generation network attacks and defense technology, new secure cryptographic algorithms, data security and privacy protection technology, network and communication security protocol, security analysis, and the evaluation of new application scenarios are discussed.
Nonlinear Systems
Open Mathematics is a challenging notion for theoretical modeling, technical analysis, and numerical simulation in the fields of physics and mathematics, among others, as highly correlated nonlinear phenomena, evolving over a large range of time and length scales, control the underlying systems and processes in their spatiotemporal evolution. Indeed, available data, be they physical, biological, or financial, and technologically complex systems and stochastic systems, such as mechanical or electronic devices, can be managed from the same conceptual approach, both analytically and through computer simulation, using effective nonlinear dynamics methods.The aim of this Special Issue is to highlight papers that show the dynamics, control, optimization, and applications of nonlinear systems. This has recently become an increasingly popular subject, with impressive growth concerning applications in engineering, economics, biology, and medicine, and can be considered a veritable contribution to the literature. Original papers relating to the objective presented above are especially welcome subjects.Potential topics include, but are not limited to, the following: Stability analysis of discrete and continuous dynamical systems; Nonlinear dynamics in biological complex systems; Stability and stabilization of stochastic systems; Mathematical models in statistics and probability; Synchronization of oscillators and chaotic systems; Optimization methods of complex systems; Reliability modeling and system optimization; Computation and control over networked systems.
Critical analysis of the plot elements of the novel Digital Fortress
Advances in Research on Structural Dynamics and Health Monitoring
Civil structures today are facing unprecedented challenges brought on by their modern design and more frequent natural disasters. The rapid development of engineering materials makes it possible to design and construct more slender structures with longer spans and taller heights. These structures' vulnerability to various dynamic excitations and the control of the resulting large-amplitude vibrations have become predominant issues. In addition to this, intensive research effort is urgently needed to examine the dynamic behavior of structures under extreme loading conditions such as damaging wind and devastating earthquakes. To ensure the safe performance and serviceability of structures during their lifespan, in addition to properly addressing the characteristics associated with loading and structural response, and evaluating the effectiveness of implemented vibration control solutions, monitoring actual structural parameters to accurately assess the health of a structure during its service life is imperative.This Special Issue "Advances in Structural Dynamics and Health Monitoring" aims to collect and disseminate the latest developments in the dynamic analysis and health monitoring of civil structures to reflect current research trends and challenges in these fields. We invite original research, in terms of analysis and design methods, numerical modeling, experimental testing, field measurements, and case studies, as well as state-of-the-art review papers.
Analytical Methods and Convergence in Probability with Applications, 2nd Edition
The present book contains 11 articles accepted and published in the second edition of the Special Issue "Analytical Methods and Convergence in Probability with Applications" of the MDPI journal Mathematics, which cover a wide range of topics from the theory of distributions and analytical methods in probability to limit theorems, convergence rate estimates, and statistical estimation.It is hoped that this reprint will be of great interest and useful for those working in the area of probability theory and mathematical statistics, as well as for those with an advanced mathematical background and seeking to become familiar with recent advances in limit theorems of probability and asymptotic statistics.
Digital Transformation and Fintech
- Digital Banking: Explore how digital transformation is reshaping traditional banking services, including online account management, mobile payments, and virtual banking platforms.- Fintech Innovation: Discuss the role of fintech startups and disruptors in introducing innovative financial products and services, such as peer-to-peer lending, robo-advisors, and cryptocurrency exchanges.- Customer Experience: Highlight how digital technologies enhance the customer experience in financial services, offering convenience, personalization, and seamless transactions across various channels.- Regulatory Landscape: Examine the regulatory challenges and opportunities associated with fintech advancements, including compliance with data protection laws, cybersecurity standards, and financial regulations.- Financial Inclusion: Address how fintech solutions promote financial inclusion by providing access to banking and investment services for underserved populations, such as the unbanked and underbanked.- AI and Big Data Analytics: Discuss the role of artificial intelligence and big data analytics in fintech, powering risk assessment, fraud detection, and personalized financial advice.- Blockchain and Cryptocurrency: Explore the impact of blockchain technology and cryptocurrencies on the financial industry, including decentralized finance (DeFi), smart contracts, and tokenization of assets.- Future Trends: Consider emerging trends in digital transformation and fintech, such as open banking, quantum computing, and the integration of Internet of Things (IoT) devices in financial services.
Artificial Intelligence
In the rapidly evolving landscape of technology, Artificial Intelligence (AI) stands at the forefront, shaping the future of human civilization. This field encompasses a diverse range of disciplines, from machine learning and natural language processing to robotics and computer vision. As we navigate the complexities of an interconnected world, understanding the principles, applications, and implications of AI becomes increasingly vital. This book serves as a comprehensive guide to unravel the intricacies of artificial intelligence, offering both novices and seasoned professionals a deep dive into the foundations and cutting-edge developments within this transformative domain. As we embark on this exploration, it is essential to recognize the profound impact of AI on various facets of our lives, from healthcare and finance to education and entertainment. This preface invites readers to embark on a journey through the realms of algorithms, neural networks, and intelligent systems, fostering a nuanced understanding of AI's capabilities and limitations. With real-world examples and practical insights, this book aims to demystify AI, empowering readers to harness its potential responsibly and contribute meaningfully to the ongoing evolution of this groundbreaking field.
The Impact of Sanitation Infrastructure and Health of the Elderly
Feature Optimization of Motor Imagery EEG Classification using ML
![Modulating CYP450 Isozymes to Prevent DB[a, l]P-Induced Mammary Cancer](https://cdn.kingstone.com.tw/english/images/product/7154/9786208417154m.webp "Modulating CYP450 Isozymes to Prevent DB[a, l]P-Induced Mammary Cancer")
Modulating CYP450 Isozymes to Prevent DB[a, l]P-Induced Mammary Cancer
Artificial Intelligence and Expert Systems course
Artificial intelligence (AI) is a process of imitating human intelligence, based on the creation and application of algorithms executed in a dynamic computing environment. Its aim is to enable computers to think and act like human beings. To achieve this, three components are required: - Computer systems - Data with management systems - Advanced AI algorithms (code) To come as close as possible to human behavior, artificial intelligence needs a large amount of data and processing capacity. This course explains in detail the key concepts, the notions of algorithms, the design and realization of an expert system, as well as a case study using an adapted programming language.
Information Technology
The document covers key concepts in modern communication technologies, focusing on: Wireless Communication - Explains data transmission without cables, using protocols like Wi-Fi, Bluetooth, and cellular networks (2G to 5G);Access Techniques: describes how users share network resources through methods like FDMA, TDMA, and CDMA;Generational Advancements summarizes the evolution from 1G analog to high-speed, low-latency 5G, with a glimpse into upcoming 6G technology;VOIP and Bluetooth - Details Voice over IP for internet-based calls and Bluetooth for short-range data exchange;GSM highlights GSM's role in global mobile communication, supporting SMS and international roaming.This provides a foundation in IT communication essentials.
Implementing Electronic Document and Record Management Systems
Implementing Electronic Document and Record Management Systems provides a comprehensive guide to planning, implementing, and optimizing EDRMS within organizations. Through collaboration with experts, this book covers topics such as project planning, stakeholder engagement, system selection, customization, training, change management, and ongoing maintenance. With practical guidance and real-world examples, readers gain insights into navigating the complexities of EDRMS implementation and maximizing its value for organizational efficiency and compliance. Bridging theory and practice, this book empowers readers to successfully implement and leverage EDRMS to drive digital transformation and organizational excellence.
