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  • AI Innovations in Human Emotion Detection and Sentiment Analysis

    Series series ISTE Invoiced
    Human feelings, their simulation and the perception of them in the reality of the ever-changing environment of AI are some of the central ideas regarding the construction of intelligent, ethical and human related systems.AI Innovations in Human Emotion Detection and Sentiment Analysis covers the field of computational emotion analysis, using a mix of machine learning, deep learning, causal ... Leer más

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  • AI in Business Management

    Bridging the Gap between Technology and Strategy

    AI in Business Management: Bridging the Gap Between Technology and Strategy discusses how artificial intelligence might be used as a strategic enabler throughout contemporary organizations. The book makes AI accessible to business leaders, managers, and decision-makers, providing applied knowledge of how technological capabilities might be matched with corporate strategy. Interweaving case studies ... Leer más

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  • Cyber Forensic Frameworks for User-Centric Human Threat Intelligence Analysis

    As cyber threats grow in scale, sophistication, and human involvement, traditional technical defenses struggle to protect digital ecosystems. Cyber forensic frameworks evolve toward user-centric human threat intelligence analysis, recognizing that attackers, insiders, and victims are all human actors with distinct behaviors, motivations, and decision patterns. By integrating behavioral analytics, ... Leer más

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  • Advancements in Forensic Analysis of Digital Images for Security and Law Enforcement

    In the digital age, images play a pivotal role in both criminal investigations and national security efforts. Using these cutting-edge techniques and technologies to authenticate, analyze, and interpret digital images for forensic purposes help with national security efforts. With the rise of sophisticated image manipulation and deepfakes, law enforcement and security professionals face growing ... Leer más

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  • Computational Intelligence in Surveillance Systems Using Image Processing

    Traditional surveillance systems struggle to process large volumes of visual data, identify specific objects or behaviors, and adapt to dynamic environments. Computational intelligence, which encompasses techniques like artificial intelligence (AI), machine learning (ML), and computer vision, offers powerful tools to address these challenges by enabling automated analysis, pattern recognition, and ... Leer más

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  • AI and Deep Learning Enabled Surveillance System Using Image Processing

    AI and Deep Learning Enabled Surveillance System Using Image Processing is an essential resource for anyone interested in the convergence of advanced technologies to enhance surveillance capabilities. This book explores in detail how artificial intelligence and deep learning can be applied to image processing, offering a transformative approach to modern surveillance systems. It covers ... Leer más

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  • Machine Learning Based Air Traffic Surveillance System Using Image Processing

    Machine Learning Based Air Traffic Surveillance System Using Image Processing analyses how advanced machine learning algorithms and image processing technologies are revolutionising air-traffic management. By integrating real-time visual data analysis with sophisticated artificial intelligence techniques, this book highlights the potential to enhance situational awareness, safety, and efficiency ... Leer más

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  • AI-Based Statistical Modeling for Road Traffic Surveillance and Monitoring

    Positioned at the intersection of intelligent transportation systems (ITS), computer vision, and machine learning, this book presents a comprehensive examination of how artificial intelligence and statistical techniques are reshaping traffic monitoring, management, and urban mobility in the era of smart cities. The book begins with the core principles of AI and traffic systems, introducing ... Leer más

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  • AI and ML in Early Warning Systems for Natural Disasters

    AI and ML in Early Warning Systems for Natural Disasters bridges the gap between advanced computational models and real-world disaster management practices by highlighting how data-driven intelligence can enhance resilience planning and reduce risks in the face of climate change and extreme environmental events. Beginning with an overview of traditional early warning systems and the limitations ... Leer más

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  • AI and ML in Early Warning Systems for Natural Disasters

    AI and ML in Early Warning Systems for Natural Disasters bridges the gap between advanced computational models and real-world disaster management practices by highlighting how data-driven intelligence can enhance resilience planning and reduce risks in the face of climate change and extreme environmental events.Beginning with an overview of traditional early warning systems and the limitations ... Leer más

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  • AI-Based Statistical Modeling for Road Traffic Surveillance and Monitoring

    Positioned at the intersection of intelligent transportation systems (ITS), computer vision, and machine learning, this book presents a comprehensive examination of how artificial intelligence and statistical techniques are reshaping traffic monitoring, management, and urban mobility in the era of smart cities.The book begins with the core principles of AI and traffic systems, introducing ... Leer más

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  • The Role of Emotional Intelligence and Artificial Intelligence in Organizations

    Harmonizing Human and Machine

    The Role of Emotional Intelligence and Artificial Intelligence in Organizations analyzes the synergistic relationship between two revolutionizing forces EI and AI in determining the future of work and leadership. The book offers a novel approach to how emotional intelligence enriches human-centered management, whereas artificial intelligence enhances data-driven decision-making and operational ... Leer más

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