Software Engineering Research and Practice and E-Learning, E-Business, Enterprise Information Systems, and E-Government
Interpretability and Explainability in AI Using Python
Demystify AI Decisions and Master Interpretability and Explainability Today Book DescriptionInterpretability in AI/ML refers to the ability to understand and explain how a model arrives at its predictions. It ensures that humans can follow the model's reasoning, making it easier to debug, validate, and trust. Interpretability and Explainability in AI Using Python takes you on a structured journey through interpretability and explainability techniques for both white-box and black-box models. You'll start with foundational concepts in interpretable machine learning, exploring different model types and their transparency levels. As you progress, you'll dive into post-hoc methods, feature effect analysis, anchors, and counterfactuals-powerful tools to decode complex models. The book also covers explainability in deep learning, including Neural Networks, Transformers, and Large Language Models (LLMs), equipping you with strategies to uncover decision-making patterns in AI systems. Through hands-on Python examples, you'll learn how to apply these techniques in real-world scenarios. By the end, you'll be well-versed in choosing the right interpretability methods, implementing them efficiently, and ensuring AI models align with ethical and regulatory standards-giving you a competitive edge in the evolving AI landscape. Table of Contents1. Interpreting Interpretable Machine Learning2. Model Types and Interpretability Techniques3. Interpretability Taxonomy and Techniques4. Feature Effects Analysis with Plots5. Post-Hoc Methods6. Anchors and Counterfactuals7. Interpretability in Neural Networks8. Explainable Neural Networks9. Explainability in Transformers and Large Language Models10. Explainability and Responsible AI Index
Fundamentals of Digital Forensics
This textbook describes the theory and methodology of digital forensic examinations, presenting examples developed in collaboration with police authorities to ensure relevance to real-world practice. The coverage includes discussions on forensic artifacts and constraints, as well as forensic tools used for law enforcement and in the corporate sector. Emphasis is placed on reinforcing sound forensic thinking, and gaining experience in common tasks through hands-on exercises.This enhanced third edition describes practical digital forensics with open-source tools and includes an outline of current challenges and research directions.Topics and features: Outlines what computer forensics is, and what it can do, as well as what its limitations areDiscusses both the theoretical foundations and the fundamentals of forensic methodologyReviews broad principles that are applicable worldwideExplains how to find and interpret several important artifactsDescribes free and open-source software toolsFeatures content on corporate forensics, ethics, SQLite databases, triage, and memory analysisIncludes new supporting video lectures on YouTubeThis easy-to-follow primer is an essential resource for students of computer forensics, and will also serve as a valuable reference for practitioners seeking instruction on performing forensic examinations.
Internet Computing and Iot and Embedded Systems, Cyber-Physical Systems, and Applications
AI-Powered Social Media Marketing 2025
Explore the revolutionary impact of AI on social media marketing and discover key trends that are shaping the future. From automating content creation and audience engagement to optimizing advertising strategies, this resource provides actionable insights to elevate your marketing game. Understand why integrating AI is crucial for generating income online and learn how businesses and creators are monetizing their social platforms effectively. Discover essential AI tools designed to streamline your marketing efforts, enhance customer engagement, and analyze performance metrics. With a focus on practical applications, you will learn how to automate tasks, create compelling content, and use data-driven insights to refine your strategies. Whether you are an entrepreneur, marketer, or content creator, these insights will empower you to make smarter decisions and boost your earnings. Delve into platform-specific strategies for maximizing profits on popular social media channels. Gain insights on how to optimize your presence on Facebook, Instagram, TikTok, and more by utilizing AI to drive engagement, enhance targeting, and increase conversion rates. With practical tips and techniques, you will learn how to monetize your efforts through ads, e-commerce, influencer marketing, and more.In addition to practical applications, this guide addresses the ethical considerations of using AI in social media marketing. Understand the importance of data privacy and transparency in building trust with your audience, ensuring long-term loyalty and success. Prepare to unlock new revenue streams and elevate your marketing strategy by embracing the potential of AI in social media. This comprehensive resource equips you with the knowledge and tools necessary to navigate the evolving landscape of digital marketing, ensuring you remain competitive and profitable. Embrace AI, transform your marketing efforts, and achieve the success you've always envisioned.
Multilingual Artificial Intelligence
Multilingual Artificial Intelligence is a guide for non-computer science specialists and learners looking to explore the implementation of AI technologies to solve real-life problems involving language data.Focusing on multilingual, multicultural, pre-trained large language models and their practical use through fine-tuning and prompt engineering, Wang and Smith demonstrate how to apply this new technology in areas such as information retrieval, semantic webs and retrieval augmented generation, to improve both human productivity and machine intelligence. Finally, it discusses the human impact of language technologies in the cultural context, and provides an AI competence framework for users to design their own learning journey.This innovative text is essential reading for all students, professionals and researchers in language, linguistics and related areas looking to understand how to integrate multilingual and multicultural artificial intelligence technology into their research.
Safety Assurance under Uncertainties
Safety assurance of software systems has never been as imminent a problem as today. Practitioners and researchers who work on the problem face a challenge unique to modern software systems: uncertainties. For one, the cyber-physical nature of modern software systems as exemplified by automated driving systems mandates environmental uncertainties to be addressed and the resulting hazards to be mitigated. For another, the abundance of statistical machine-learning components massive numerical computing units for statistical reasoning such as deep neural networks make systems hard to explain, understand, analyze, or verify. Facing the challenge of these physical and statistical uncertainties, no single established method for software safety and reliability would suffice. Rigorous formal verification requires formal modeling of every detail of the target system, which is impossible under uncertainties. Testing suffers from uncertainties, too: notably, it is unclear to what degree of safety assurance a given test result should translate. Therefore, efforts towards safe software systems must unite techniques from different disciplines---formal methods, software science, software engineering, control theory, machine learning---in a way driven by real-world examples and supported by a common theoretical ground.The book is the first to provide a comprehensive overview of such united and interdisciplinary efforts. Driven by automated driving systems as a leading example, the book describes diverse techniques to specify, model, test, analyze, and verify modern software systems. Coming out of a collaboration between industry and basic academic research, the book covers both practical analysis techniques (readily applicable to existing systems) and more long-range design techniques (that call for new designs but bring a greater degree of assurance).The book's exposition aims at giving high-level intuitions and use-cases of each technique, rather than technical details, with plenty of pointers for interested readers.
Security Issues in Communication Devices, Networks and Computing Models
The importance of addressing security issues in communication devices, networks, and computing models in Industry 5.0 cannot be overstated. Industry 5.0 represents the next phase in the evolution of manufacturing and industrial processes, characterized by increased connectivity, automation, and the integration of smart technologies. Here are several reasons why security is crucial in this context is, Industry 5.0 involves the convergence of information technology (IT) and operational technology (OT), making industrial control systems susceptible to cyber threats. A breach in security could compromise critical infrastructure, such as power grids, transportation systems, and water treatment plants. Securing computing models and networks is vital for protecting critical infrastructure, ensuring the safety and stability of essential services.Industry 5.0 encourages the use of advanced technologies like the Industrial Internet of Things (IIoT) and edge computing, leading to increased data exchange and collaboration. Security issues could result in the theft or manipulation of intellectual property, proprietary designs, and sensitive business information. Robust security measures are necessary to safeguard intellectual property, maintain a competitive edge, and foster innovation within Industry 5.0 ecosystems. Communication devices and networks in Industry 5.0 transmit vast amounts of sensitive data, including production data, supply chain information, and operational metrics. Ensuring the integrity and confidentiality of this data is crucial for informed decision-making and maintaining a competitive advantage. Security breaches could lead to data manipulation, unauthorized access, and exposure of sensitive information, jeopardizing the trust of stakeholders and partners. Industry 5.0 involves interconnected supply chains, where multiple entities collaborate and share data. Weaknesses in communication devices and networks can be exploited to compromise the integrity of the entire supply chain, impacting product quality and safety. Securing communication channels and computing models is vital for maintaining the trustworthiness of the supply chain, ensuring product quality, and minimizing the risk of counterfeit components.In summary, addressing security issues in communication devices, networks, and computing models is fundamental to the successful implementation of Industry 5.0. It not only protects the assets and operations of organizations but also contributes to the overall safety, reliability, and sustainability of advanced industrial systems.
Guardians of Data
Guardians of Data: A Comprehensive Guide to Digital Data Protection which helps to reduce risks of data loss by monitoring and controlling the flow of sensitive data via the network, email or web. This book also shows the guidance about data protection that data is not corrupted, is accessible for authorized purposes only, and is in compliance with applicable legal or regulatory requirements.Guardians of Data means protecting data, networks, programs and other information from unauthorized or unattended access, destruction or change. In today's world, guardians of data are very important because of many security threats and cyber-attacks. For data protection, companies are developing cybersecurity software.The primary goal of data protection is not just to safeguard sensitive information but to ensure that it remains accessible and reliable, thus preserving trust and compliance in data-centric operations. While data protection law sets out what should be done to make sure everyone's data is used properly and fairly. Though data protector is a backup solution that provides reliable data protection and high accessibility for rapidly growing business data. Data Protector offers comprehensive backup and restore functionality specifically tailored for enterprise and distributed environments.
The Music Producer's Guide to Social Media Content
The Music Producer's Guide to Social Media Content offers essential insights into the role of audio in content creation for social media platforms. It provides advice on succeeding in the music industry through the successful adoption of social media practices, and creating high quality content as a vehicle of career growth.Introducing both industry standard tools, including DAWs, plug-ins and hardware, and an array of advanced techniques - such as consideration of immersive and spatial audio as well as live streaming systems - the book equips readers to create audio for uploaded and streamed media. With a focus on maximising quality, the book explores destinations and distribution with contemporary case studies, whilst focusing on principles that can be transferred to new technologies as they are released. Throughout, readers gain an understanding of the technology behind media creation, methods of using social media platforms to expand career opportunities, and the process of monetizing content.This is an invaluable companion for both novice and experienced music producers looking to promote their work on social media, as well as those looking to master the art of creating audio content for social media.
Security Issues in Communication Devices, Networks and Computing Models
The importance of addressing security issues in communication devices, networks, and computing models in Industry 5.0 cannot be overstated. Industry 5.0 represents the next phase in the evolution of manufacturing and industrial processes, characterized by increased connectivity, automation, and the integration of smart technologies. Here are several reasons why security is crucial in this context is, Industry 5.0 involves the convergence of information technology (IT) and operational technology (OT), making industrial control systems susceptible to cyber threats. A breach in security could compromise critical infrastructure, such as power grids, transportation systems, and water treatment plants. Securing computing models and networks is vital for protecting critical infrastructure, ensuring the safety and stability of essential services. - 5 - Information Classification: General Industry 5.0 encourages the use of advanced technologies like the Industrial Internet of Things (IIoT) and edge computing, leading to increased data exchange and collaboration. Security issues could result in the theft or manipulation of intellectual property, proprietary designs, and sensitive business information. Robust security measures are necessary to safeguard intellectual property, maintain a competitive edge, and foster innovation within Industry 5.0 ecosystems. Communication devices and networks in Industry 5.0 transmit vast amounts of sensitive data, including production data, supply chain information, and operational metrics. Ensuring the integrity and confidentiality of this data is crucial for informed decision-making and maintaining a competitive advantage. Security breaches could lead to data manipulation, unauthorized access, and exposure of sensitive information, jeopardizing the trust of stakeholders and partners. Industry 5.0 involves interconnected supply chains, where multiple entities collaborate and share data. Weaknesses in communication devices and networks can be exploited to compromise the integrity of the entire supply chain, impacting product quality and safety. Securing communication channels and computing models is vital for maintaining the trustworthiness of the supply chain, ensuring product quality, and minimizing the risk of counterfeit components. In summary, addressing security issues in communication devices, networks, and computing models is fundamental to the successful implementation of Industry 5.0. It not only protects the assets and operations of organizations but also contributes to the overall safety, reliability, and sustainability of advanced industrial systems.
Recent Advances in Internet of Things Security
The growth of the Internet of Things technology has indeed led to an increase in cybersecurity issues. While Internet of Things enhances accessibility, integrity, availability, scalability, confidentiality, and interoperability among devices, it also faces vulnerabilities due to its diverse attack sources and lack of standardization in security protocols. This makes Internet of Things systems particularly susceptible to cyber-attacks. It's essential to ensure proper security measures are in place to protect Internet of Things devices and networks, given their critical role in modern communication and the evolving threat landscape. Always remember to verify important security information from trusted sources.Recent Advances in Internet of Things Security discusses the critical importance of robust security frameworks to protect Internet of Things ecosystems against various cyber threats. It highlights the security risks associated with Internet of Things devices and applications and present a variety of potential solutions. It's essential to remain aware of these challenges to effectively safeguard Internet of Things systems. This book delves into the complexities of IoT security, exploring a range of vulnerabilities across different layers of the IoT architecture.The book provides a comprehensive overview of Internet of Things security, emphasizing the significance of securing Internet of Things products and applications. It serves as a foundational resource for young researchers, academics, and industry professionals keen on advanced security solutions within the Internet of Things landscape, reflecting the current state of research and ongoing challenges in this field.
Guardians of Data
Guardians of Data: A Comprehensive Guide to Digital Data Protection which helps to reduce risks of data loss by monitoring and controlling the flow of sensitive data via the network, email or web. This book also shows the guidance about data protection that data is not corrupted, is accessible for authorized purposes only, and is in compliance with applicable legal or regulatory requirements.Guardians of Data means protecting data, networks, programs and other information from unauthorized or unattended access, destruction or change. In today's world, guardians of data are very important because of many security threats and cyber-attacks. For data protection, companies are developing cybersecurity software.The primary goal of data protection is not just to safeguard sensitive information but to ensure that it remains accessible and reliable, thus preserving trust and compliance in data-centric operations. While data protection law sets out what should be done to make sure everyone's data is used properly and fairly. Though data protector is a backup solution that provides reliable data protection and high accessibility for rapidly growing business data. Data Protector offers comprehensive backup and restore functionality specifically tailored for enterprise and distributed environments.
A Cybersecurity Leader's Journey
In today's cybersecurity landscape, the role of a cybersecurity leader goes beyond technical expertise. Communicating cybersecurity risks and initiatives to executives and boards demands a unique blend of strategic insight and business language. A Cybersecurity Leader's Journey: Speaking the Language of the Board takes readers on a transformative path from technical talk to business-savvy communication.Follow Nick, a newly appointed CISO, as he navigates the challenges of bridging the gap between complex cybersecurity concepts and the business-focused concerns of board members. Struggling to convey the impact of cybersecurity initiatives, Nick quickly realizes that his technical knowledge alone isn't enough to gain the board's trust. With guidance from a mentor, he learns how to address the board's priorities, answer the critical question of "What's in it for me?" and deliver insights that resonate.This book offers more than just a narrative--it provides actionable takeaways for cybersecurity leaders and other professionals who want to master the art of strategic communication. Readers will discover how to close information asymmetry gaps, manage the affect heuristic, and develop a communication style that builds trust and fosters informed decision-making.Whether you're a CISO, an aspiring CISO, or a technical expert aiming to improve your business communication, A Cybersecurity Leader's Journey equips you with the skills to make cybersecurity not just a necessity but a valued component of business success.Step into Nick's journey, gain insights from his challenges and learn how to become the trusted advisor your board needs.
Building Agentic AI Systems
Master the art of building AI agents with large language models using the coordinator, worker, and delegator approach for orchestrating complex AI systemsKey Features: - Understand the foundations and advanced techniques of building intelligent, autonomous AI agents- Learn advanced techniques for reflection, introspection, tool use, planning, and collaboration in agentic systems- Explore crucial aspects of trust, safety, and ethics in AI agent development and applications- Purchase of the print or Kindle book includes a free PDF eBookBook Description: Gain unparalleled insights into the future of AI autonomy with this comprehensive guide to designing and deploying autonomous AI agents that leverage generative AI (GenAI) to plan, reason, and act. Written by industry-leading AI architects and recognized experts shaping global AI standards and building real-world enterprise AI solutions, it explores the fundamentals of agentic systems, detailing how AI agents operate independently, make decisions, and leverage tools to accomplish complex tasks.Starting with the foundations of GenAI and agentic architectures, you'll explore decision-making frameworks, self-improvement mechanisms, and adaptability. The book covers advanced design techniques, such as multi-step planning, tool integration, and the coordinator, worker, and delegator approach for scalable AI agents.Beyond design, it addresses critical aspects of trust, safety, and ethics, ensuring AI systems align with human values and operate transparently. Real-world applications illustrate how agentic AI transforms industries such as automation, finance, and healthcare. With deep insights into AI frameworks, prompt engineering, and multi-agent collaboration, this book equips you to build next-generation adaptive, scalable AI agents that go beyond simple task execution and act with minimal human intervention.What You Will Learn: - Master the core principles of GenAI and agentic systems- Understand how AI agents operate, reason, and adapt in dynamic environments- Enable AI agents to analyze their own actions and improvise- Implement systems where AI agents can leverage external tools and plan complex tasks- Apply methods to enhance transparency, accountability, and reliability in AI- Explore real-world implementations of AI agents across industriesWho this book is for: This book is ideal for AI developers, machine learning engineers, and software architects who want to advance their skills in building intelligent, autonomous agents. It's perfect for professionals with a strong foundation in machine learning and programming, particularly those familiar with Python and large language models. While prior experience with generative AI is beneficial, the book covers foundational concepts for those new to agentic systems.Table of Contents- Fundamentals of Generative AI- Principles of Agentic Systems- Essential Components of Intelligent Agents- Reflection and Introspection in Agents- Enabling Tool Use and Planning in Agents- Exploring the Coordinator, Worker, and Delegator Approach- Effective Agentic System Design Techniques- Building Trust in Generative AI Systems- Managing Safety and Ethical Considerations- Common Use Cases and Applications- Conclusion and Future Outlook
