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Showing 1 - 12 of 12 results for “amer ibrahim”
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  • Governance and Accountability in Enterprise Security Systems

    Edited by Amer Ibrahim, Taher M. Ghazal ...
    Governance and accountability are fundamental parts of enterprise security systems, ensuring security policies, processes, and controls align with organizational objectives and regulatory requirements. Governance provides the framework for decision-making, risk management, and security responsibilities, while accountability ensures individuals and departments answer for their actions and comply ... Read more

    $224.99 USD

  • Global Risk Management and Governance in AI Security Operations

    Edited by Amer Ibrahim, Taher M. Ghazal ...
    Organizations use various frameworks, policies, and strategies to identify, assess, and mitigate risks associated with the operation of AI technologies. As AI systems integrate with critical business processes and cybersecurity systems, organizations face challenges related to data privacy, regulatory compliance, and ethical considerations. Effective governance ensures AI-driven security ... Read more

    $224.99 USD

  • Legal and Privacy Considerations for AI-Driven Security Systems

    Edited by Amer Ibrahim, Taher M. Ghazal ...
    The adoption of AI in security systems transforms the way organizations detect threats, monitor activities, and respond to cyber and physical security risks. AI-driven security technologies leverage advanced data analytics, machine learning, and automated decision-making to enhance efficiency and strengthen protection against attacks. However, the collection, processing, and analysis of personal ... Read more

    $220.49 USD

  • Territorial Landscapes Solutions for Sustainable Energy and Food Security

    Edited by Mourad Amer, Mohamed El Kaftangui, Ibrahim El-Sayed Maarouf, Nauman Khalid, Sharul Sham Bin Dol ...
    Series series Springer Nature Proceedings excluding Computer Science
    This book introduces a model for the built environment, designed to incorporate sustainability at every level. It emphasizes the integration of environmental, social, and economic factors to create resilient urban spaces. Also, it presents a decision support system that optimizes energy management for sustainability, enabling real-time adjustments and reducing carbon footprints. It discusses ... Read more

    $197.09 USD

  • Properties of Self-Compacting Concrete with Coal Bottom Ash Under Aggressive Environments

    by Mohd Haziman Bin Wan Ibrahim, Shahiron Shahidan, Hassan Amer Algaifi, Ahmad Farhan Bin Hamzah, Ramadhansyah Putra Jaya ...
    Series series Chemistry and Material Science (R0)
    This book highlights the importance of incorporating coal bottom ash (CBA) into self-compacting concrete exposed to aggressive conditions. The incorporation of CBA in concrete is a sustainable strategy to prolong the lifespan of concrete. The content of the book is also regarded as a solution to the environmental issue. It helps academics, researchers, and students to acquire a better ... Read more

    $49.49 USD

  • Ranked Set Sampling

    65 Years Improving the Accuracy in Data Gathering

    by Carlos N. Bouza-Herrera, Amer Ibrahim Falah Al-Omari ...
    Ranked Set Sampling: 65 Years Improving the Accuracy in Data Gathering is an advanced survey technique which seeks to improve the likelihood that collected sample data presents a good representation of the population and minimizes the costs associated with obtaining them. The main focus of many agricultural, ecological and environmental studies is the development of well designed, cost-effective ... Read more

    $179.99 USD

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  • Let the Data Speak

    A Necessary Principle Towards Effective Utilization of Machine Learning for Data Science and Analytics Applications

    by Sunday Olusanya Olatunji ...
    Are you wasting around 70% of your data science time on pointless preprocessing? Are your complex machine learning models consistently outperformed by simpler ones? You're not alone—the standard practice is broken.In today's data-driven world, the standard machine learning process is a recipe for inefficiency and bias. Teams spend the majority of their project time "cleaning" and manipulating data ... Read more

    $9.99 USD or Free with Kobo Plus

  • Next-Generation Cybersecurity

    AI, ML, and Blockchain

    Edited by Keshav Kaushik, Ishu Sharma ...
    Series series Physics and Astronomy (R0)
    This book highlights a comprehensive overview of the recent advancements and challenges in the field of cybersecurity with a focus on the integration of artificial intelligence (AI), machine learning (ML), and blockchain technologies. The book targets both researchers and practitioners working in the field of cybersecurity and aims to fill the gap in the current literature by providing a ... Read more

    $116.09 USD

  • Cybersecurity Risks in Organizational Digital Transformation and AI Infrastructure

    Edited by Saqib Saeed, Sohail Safdar, Farhan Ullah ...
    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 ... Read more

    $247.49 USD

  • AI Solutions for Detecting Cyber-Attacks in Information Systems

    Edited by Mohammed Amin Almaiah ...
    As cyber threats continue to grow in frequency and scale, traditional security measures often fall short to modern information systems. In response to this threat, AI has emerged as a powerful tool in the ongoing battel against cyber-attacks. By using machine learning and predictive analytics, AI can identify and respond to the real time threats before significant damage. These technologies enable ... Read more

    $206.99 USD

  • Machine Intelligence Applications in Cyber-Risk Management

    Edited by Mohammed Amin Almaiah, Yassine Maleh ...
    In an era where cyber threats are increasingly sophisticated and persistent, the intersection of machine intelligence and cyber-risk management represents a pivotal frontier in the defense against malicious actors. The rapid advancements of artificial intelligence (AI) and machine learning (ML) technologies offer unprecedented capabilities for identifying, analyzing, and mitigating cyber risks. ... Read more

    $355.49 USD

  • AI-Driven Cybersecurity Techniques, Systems, and Resilience

    Edited by Bahaa Eddine Elbaghazaoui, Khalid Benabbes, Tarik El Moudden ...
    As cyber threats increase, AI strengthens cybersecurity defenses and enhances organizational resilience. AI-driven cybersecurity techniques leverage machine learning, predictive analytics, and automated threat detection to identify vulnerabilities, detect malicious activities, and respond to security incidents. These advanced systems enable organizations to protect critical digital assets, reduce ... Read more

    $202.49 USD