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  • Automating Software Defect Detection Through Machine Learning and LLMs

    As software systems grow in complexity and scale, ensuring their reliability and quality becomes challenging. Traditional methods of defect detection are time-consuming, prone to errors, and inadequate for identifying issues. To address these limitations, the integration of machine learning (ML) techniques and large language models (LLMs) emerges as a transformative approach in automating software ... Leer más

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  • Introduction to AI Testing

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    Foreword by Klaudia Dussa-Zieger, P******resident of ISTQB®This book offers a comprehensive introduction to artificial intelligence and machine learning fundamentals, equipping software testers with the skills to effectively leverage AI-powered solutions for testing complex systems and AI applications. It also fully prepares readers for the ISTQB® Certified Tester AI Testing (CT-AI) certification ... Leer más

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  • Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection

    APPLYING ARTIFICIAL INTELLIGENCE IN CYBERSECURITY ANALYTICS AND CYBER THREAT DETECTIONComprehensive resource providing strategic defense mechanisms for malware, handling cybercrime, and identifying loopholes using artificial intelligence (AI) and machine learning (ML)Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection is a comprehensive look at state-of-the-art ... Leer más

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  • Protecting and Mitigating Against Cyber Threats

    Deploying Artificial Intelligence and Machine Learning

    The book provides invaluable insights into the transformative role of AI and ML in security, offering essential strategies and real-world applications to effectively navigate the complex landscape of today’s cyber threats.Protecting and Mitigating Against Cyber Threats delves into the dynamic junction of artificial intelligence (AI) and machine learning (ML) within the domain of security ... Leer más

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  • Cognitive Cyber Crimes in the Era of Artificial Intelligence

    Protect your organization from next-generation threats with this comprehensive analysis of cognitive cybercrimes, addressing future legal, ethical, and policy challenges in the age of AI.Cognitive Cyber Crimes in the Era of Artificial Intelligence explores the emerging dimension of cybercrime where artificial intelligence, neuroscience, and cryptography intersect. It introduces the concept of ... Leer más

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  • Artificial Intelligence based Solutions for Industrial Applications

    Series series Computational Methods for Industrial Applications
    Artificial Intelligence based Solutions for Industrial Applications aims to examine the utilization of artificial intelligence (AI) technologies to tackle difficult industrial issues and offers readers a thorough understanding of how these technologies are being employed to address intricate industrial challenges and to stimulate innovation. This book explores the fundamental principles of ... Leer más

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  • Handbook of AI in Engineering Applications

    Tools, Techniques, and Algorithms

    Series series Advancements in Intelligent and Sustainable Technologies and Systems
    There is a need to categorize artificial intelligence (AI) applications, tools, techniques, and algorithms based on their intended use in various design stages. Specifically, there is a need to explore AI techniques that are utilized for tasks such as designing, including but not limited to inspiration, idea and concept generation, concept evaluation, optimization, decision-making, and modeling. ... Leer más

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  • Convergence of Blockchain and Explainable Artificial Intelligence

    BlockXAI

    Series series River Publishers Series in Digital Security and Forensics
    Explainable AI (XAI) is an upcoming research field in the domain of machine learning. This book aims to provide a detailed description of the topics related to XAI and Blockchain. These two technologies can benefit each other, and the research outcomes will benefit society in multiple ways.Existing AI systems make decisions in a black box manner. Explainable AI delineates how an AI system arrived ... Leer más

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  • Content Delivery Networks Using Artificial Intelligence and Internet of Things

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  • Generative and Agentic AI Reliability: Architectures, Challenges, and Trust for Autonomous Systems

    Series series Intelligent Technologies and Robotics (R0)
    This book offers a unique and timely contribution to the intersection of agentic AI, reliability engineering, and system trustworthiness. This book addresses both sides of the reliability challenge: how to ensure the reliability of agentic AI systems (with autonomy, planning, and goal-directed behavior), and how agentic AI can be used to enhance the reliability of critical infrastructure and ... Leer más

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  • Cybersecurity Risks in Organizational Digital Transformation and AI Infrastructure

    As organizations accelerate digital transformation and integrate AI-driven infrastructure into their operations, they expand their exposure to complex cybersecurity risks. The adoption of cloud computing, interconnected systems, and AI models increases the attack surface, making sensitive information and critical processes more vulnerable to breaches, ransomware, and manipulation. AI systems ... Leer más

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  • Examining Vulnerabilities and Adversarial Exploitation of AI and LLMs

    Edición de Puya Pakshad, Marwan Omar ...
    As AI systems and large language models (LLMs) become integrated into decision-making, communication, and automation workflows, their security becomes a pressing concern. Despite their performance, these models have vulnerabilities that can be exploited through adversarial techniques like prompt manipulation, data exploitation, and cyber-attacks. These exploits undermine system reliability while ... Leer más

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