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Tag: explainable AI

  • Internet of Behavior-Based Computational Intelligence for Smart Education Systems

    Internet of Behavior-Based Computational Intelligence for Smart Education Systems


    Price: $245.00
    (as of Dec 28,2024 01:31:33 UTC – Details)


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    The Internet of Things (IoT) has revolutionized the way we interact with technology, making our lives more connected and efficient. One of the most exciting applications of IoT is in the field of education, where smart systems are being used to enhance learning experiences for students.

    One area of particular interest is the Internet of Behavior (IoB), which focuses on analyzing and understanding human behavior through data collected from various sources. By leveraging IoB-based computational intelligence, smart education systems can personalize learning experiences, track student progress, and provide feedback in real-time.

    These systems can track student behavior both inside and outside the classroom, allowing educators to gain valuable insights into how students learn and what motivates them. By analyzing this data, teachers can tailor their teaching methods to meet the individual needs of each student, leading to improved academic performance and engagement.

    Furthermore, IoB-based computational intelligence can help identify at-risk students who may be struggling academically or emotionally. By detecting patterns in behavior data, educators can intervene early and provide the necessary support to help these students succeed.

    Overall, the integration of IoB-based computational intelligence into smart education systems has the potential to revolutionize the way we teach and learn. By harnessing the power of data and technology, we can create more personalized, engaging, and effective educational experiences for students of all ages.
    #Internet #BehaviorBased #Computational #Intelligence #Smart #Education #Systems

  • Diverse Perspectives and State-of-the-Art Approaches to the Utilization of Data-Driven Clinical Decision Support Systems

    Diverse Perspectives and State-of-the-Art Approaches to the Utilization of Data-Driven Clinical Decision Support Systems


    Price: $345.00 – $179.38
    (as of Dec 28,2024 00:56:54 UTC – Details)


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    Publisher ‏ : ‎ IGI Global (November 7, 2022)
    Language ‏ : ‎ English
    Hardcover ‏ : ‎ 380 pages
    ISBN-10 ‏ : ‎ 1668450925
    ISBN-13 ‏ : ‎ 978-1668450925
    Item Weight ‏ : ‎ 2.73 pounds
    Dimensions ‏ : ‎ 8.5 x 0.94 x 11 inches

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    In today’s rapidly evolving healthcare landscape, data-driven clinical decision support systems have become essential tools for improving patient outcomes and enhancing the efficiency of healthcare delivery. These systems leverage a wealth of patient data, including electronic health records, lab results, imaging studies, and more, to provide clinicians with real-time insights and recommendations for diagnosis, treatment, and care coordination.

    One of the key advantages of data-driven clinical decision support systems is their ability to incorporate diverse perspectives and state-of-the-art approaches into the decision-making process. By analyzing large volumes of data from a variety of sources, these systems can identify patterns, trends, and correlations that may not be immediately apparent to individual healthcare providers. This allows for more accurate and personalized care plans that take into account a patient’s unique medical history, risk factors, and preferences.

    Furthermore, data-driven clinical decision support systems can help clinicians stay up-to-date on the latest research and best practices in their field. By continuously analyzing new data and incorporating the latest guidelines and protocols, these systems can ensure that clinicians are making informed decisions based on the most current evidence available.

    Overall, the utilization of data-driven clinical decision support systems represents a significant opportunity to improve the quality and efficiency of healthcare delivery. By harnessing the power of diverse perspectives and state-of-the-art approaches, these systems can help clinicians deliver more personalized, effective, and evidence-based care to their patients.
    #Diverse #Perspectives #StateoftheArt #Approaches #Utilization #DataDriven #Clinical #Decision #Support #Systems

  • Deep Learning, Reinforcement Learning, and the Rise of Intelligent Systems

    Deep Learning, Reinforcement Learning, and the Rise of Intelligent Systems


    Price: $300.00
    (as of Dec 28,2024 00:17:54 UTC – Details)


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    ASIN ‏ : ‎ B0CLGPCZQV
    Publisher ‏ : ‎ IGI Global (February 26, 2024)
    Language ‏ : ‎ English
    Hardcover ‏ : ‎ 320 pages
    ISBN-13 ‏ : ‎ 979-8369317389
    Item Weight ‏ : ‎ 1.67 pounds
    Dimensions ‏ : ‎ 7 x 0.75 x 10 inches

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    In recent years, the fields of deep learning and reinforcement learning have seen significant advancements, leading to the rise of intelligent systems that are capable of performing complex tasks and making decisions on their own.

    Deep learning, a subset of machine learning, involves training artificial neural networks to recognize patterns and make predictions based on large amounts of data. This technology has revolutionized areas such as image recognition, natural language processing, and speech recognition, enabling machines to perform tasks that were once thought to be exclusive to human intelligence.

    Reinforcement learning, on the other hand, involves training agents to make decisions through trial and error, receiving feedback in the form of rewards or punishments. This approach has been used to teach machines how to play games, control robots, and optimize complex systems.

    The combination of deep learning and reinforcement learning has led to the development of intelligent systems that can learn from experience, adapt to new environments, and make decisions in real-time. These systems have been applied in various industries, from autonomous vehicles and healthcare to finance and cybersecurity, transforming the way we work and live.

    As the capabilities of intelligent systems continue to grow, it is clear that they will play an increasingly important role in our society. However, with this advancement comes important ethical considerations, such as data privacy, bias, and accountability. It is crucial for researchers, developers, and policymakers to work together to ensure that intelligent systems are developed and deployed responsibly.

    Overall, the rise of deep learning, reinforcement learning, and intelligent systems represents a new era of innovation and opportunity. By harnessing the power of these technologies, we can unlock new possibilities and improve our world in ways we never thought possible.
    #Deep #Learning #Reinforcement #Learning #Rise #Intelligent #Systems

  • Cross-Industry AI Applications

    Cross-Industry AI Applications


    Price: $415.00
    (as of Dec 27,2024 19:46:03 UTC – Details)


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    ASIN ‏ : ‎ B0D25S8JF1
    Publisher ‏ : ‎ IGI Global (May 31, 2024)
    Language ‏ : ‎ English
    Hardcover ‏ : ‎ 400 pages
    ISBN-13 ‏ : ‎ 979-8369359518
    Item Weight ‏ : ‎ 2.77 pounds
    Dimensions ‏ : ‎ 8.5 x 0.94 x 11 inches

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    Artificial intelligence (AI) is revolutionizing industries across the board, from healthcare to finance to transportation. Here are some examples of cross-industry AI applications that are changing the game:

    1. Predictive maintenance: AI algorithms can analyze data from various sensors to predict when equipment is likely to fail, enabling businesses to perform maintenance proactively and avoid costly downtime. This technology is being used in industries ranging from manufacturing to aviation.

    2. Customer service chatbots: AI-powered chatbots are being used by companies in industries such as retail, banking, and healthcare to provide instant customer service, answer frequently asked questions, and handle simple transactions. These chatbots can significantly reduce customer service costs and improve the overall customer experience.

    3. Fraud detection: AI algorithms can analyze vast amounts of data to identify patterns and anomalies that may indicate fraud. This technology is being used in industries such as banking, insurance, and e-commerce to prevent fraudulent transactions and protect customer data.

    4. Personalized recommendations: AI algorithms can analyze customer data to provide personalized product recommendations, content suggestions, and marketing messages. This technology is being used in industries such as retail, media, and entertainment to increase customer engagement and drive sales.

    5. Autonomous vehicles: AI-powered systems are enabling the development of self-driving cars, trucks, and drones. These vehicles use sensors, cameras, and AI algorithms to navigate roads, avoid obstacles, and make decisions in real-time. Autonomous vehicles have the potential to revolutionize transportation and logistics across industries.

    These are just a few examples of the cross-industry applications of AI that are transforming businesses and driving innovation. As AI technology continues to advance, we can expect to see even more exciting developments in the future.
    #CrossIndustry #Applications

  • Fundamentals of Interaction-Based Learning: An Efficient, Explainable, and Extremely Predictive Machine Learning Tool for Data Scientists

    Fundamentals of Interaction-Based Learning: An Efficient, Explainable, and Extremely Predictive Machine Learning Tool for Data Scientists


    Price: $49.50
    (as of Dec 27,2024 19:26:35 UTC – Details)


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    Publisher ‏ : ‎ Eliva Press (April 13, 2022)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 97 pages
    ISBN-10 ‏ : ‎ 163648641X
    ISBN-13 ‏ : ‎ 978-1636486413
    Item Weight ‏ : ‎ 7 ounces
    Dimensions ‏ : ‎ 6 x 0.23 x 9 inches

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    Interaction-based learning is a powerful machine learning tool that is becoming increasingly popular among data scientists. In this post, we will explore the fundamentals of interaction-based learning, its efficiency, explainability, and predictive capabilities.

    Interaction-based learning involves capturing interactions between features in a dataset to improve model performance. Traditional machine learning models often struggle to capture complex relationships between features, leading to suboptimal performance. Interaction-based learning addresses this limitation by explicitly modeling interactions between features, allowing for more accurate predictions.

    One of the key advantages of interaction-based learning is its efficiency. By focusing on capturing interactions between features, the model can achieve higher predictive accuracy with fewer features. This not only reduces the computational burden but also allows for faster model training and deployment.

    Furthermore, interaction-based learning is highly explainable. By explicitly modeling interactions between features, data scientists can easily interpret how different features interact to influence the model’s predictions. This transparency is crucial for building trust in machine learning models and gaining insights into the underlying data patterns.

    Moreover, interaction-based learning has been shown to be extremely predictive. By capturing complex relationships between features, the model can make more accurate predictions, especially in scenarios with high-dimensional and sparse data. This predictive power makes interaction-based learning a valuable tool for data scientists working on a wide range of machine learning tasks.

    In conclusion, interaction-based learning is a powerful and efficient machine learning tool that offers high predictability and explainability. By explicitly modeling interactions between features, data scientists can build more accurate and transparent machine learning models. As the field of machine learning continues to evolve, interaction-based learning is sure to play a crucial role in advancing predictive analytics and data science.
    #Fundamentals #InteractionBased #Learning #Efficient #Explainable #Extremely #Predictive #Machine #Learning #Tool #Data #Scientists

  • Trusted Artificial Intelligence in Manufacturing: A Review of the Emerging Wave of Ethical and Human Centric AI Technologies for Smart Production (Nowopen)

    Trusted Artificial Intelligence in Manufacturing: A Review of the Emerging Wave of Ethical and Human Centric AI Technologies for Smart Production (Nowopen)


    Price: $110.00
    (as of Dec 27,2024 19:06:11 UTC – Details)


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    Trusted Artificial Intelligence in Manufacturing: A Review of the Emerging Wave of Ethical and Human Centric AI Technologies for Smart Production

    Artificial Intelligence (AI) is revolutionizing the manufacturing industry, making processes more efficient, cost-effective, and reliable. However, as AI becomes more prevalent in manufacturing, concerns about its ethical implications and impact on human workers have emerged.

    In response to these concerns, a new wave of ethical and human-centric AI technologies is emerging in the manufacturing sector. These technologies prioritize transparency, accountability, and fairness, ensuring that AI systems are trustworthy and uphold ethical standards.

    This review explores the latest developments in trusted AI technologies for smart production in manufacturing. From explainable AI algorithms that provide insights into decision-making processes to AI systems that augment human workers rather than replace them, these technologies are reshaping the future of manufacturing in a responsible and sustainable way.

    By embracing trusted AI technologies, manufacturers can enhance productivity, drive innovation, and create a more inclusive work environment for their employees. This review highlights the importance of prioritizing ethics and human-centric values in the development and deployment of AI technologies in manufacturing.

    To learn more about the emerging wave of ethical and human-centric AI technologies for smart production in manufacturing, visit [link to the article]. Stay ahead of the curve and unlock the full potential of AI in manufacturing with trusted and responsible technologies.
    #Trusted #Artificial #Intelligence #Manufacturing #Review #Emerging #Wave #Ethical #Human #Centric #Technologies #Smart #Production #Nowopen

  • Case-Based Reasoning Research and Development: 27th International Conference, ICCBR 2019, Otzenhausen, Germany, September 8–12, 2019, Proceedings (Lecture Notes in Artificial Intelligence)

    Case-Based Reasoning Research and Development: 27th International Conference, ICCBR 2019, Otzenhausen, Germany, September 8–12, 2019, Proceedings (Lecture Notes in Artificial Intelligence)


    Price: $54.99
    (as of Dec 27,2024 18:44:21 UTC – Details)


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    Join us at the 27th International Conference on Case-Based Reasoning Research and Development (ICCBR 2019), taking place in Otzenhausen, Germany from September 8-12, 2019. This conference brings together experts and researchers in the field of artificial intelligence to discuss the latest advancements in case-based reasoning.

    The proceedings of ICCBR 2019 will be published in the Lecture Notes in Artificial Intelligence series, showcasing cutting-edge research and developments in the field. Attendees can look forward to presentations, workshops, and networking opportunities with leading professionals in the industry.

    Don’t miss this exciting opportunity to engage with the latest innovations in case-based reasoning. Register now to secure your spot at ICCBR 2019 and be a part of shaping the future of artificial intelligence. We look forward to seeing you in Otzenhausen!
    #CaseBased #Reasoning #Research #Development #27th #International #Conference #ICCBR #Otzenhausen #Germany #September #Proceedings #Lecture #Notes #Artificial #Intelligence

  • The Ethical Frontier of AI and Data Analysis

    The Ethical Frontier of AI and Data Analysis


    Price: $365.00
    (as of Dec 27,2024 18:20:54 UTC – Details)


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    ASIN ‏ : ‎ B0CXGL7QJD
    Publisher ‏ : ‎ IGI Global (March 4, 2024)
    Language ‏ : ‎ English
    Hardcover ‏ : ‎ 360 pages
    ISBN-13 ‏ : ‎ 979-8369329641
    Item Weight ‏ : ‎ 3.09 pounds
    Dimensions ‏ : ‎ 8.5 x 1.06 x 11 inches

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    As we continue to push the boundaries of artificial intelligence and data analysis, we are entering a new frontier of ethical considerations. The power of AI and data analysis to uncover insights, make predictions, and automate decision-making has the potential to revolutionize industries and improve countless aspects of our lives. However, with this power comes great responsibility.

    One of the key ethical concerns surrounding AI and data analysis is privacy. As these technologies collect and analyze vast amounts of data about individuals, there is a risk of violating their privacy and infringing on their rights. It is essential for companies and organizations to prioritize data security and transparency in how they collect, use, and share data.

    Another ethical consideration is bias. AI systems are only as good as the data they are trained on, and if that data is biased or incomplete, it can lead to discriminatory outcomes. It is crucial for developers to be mindful of biases in their datasets and algorithms, and to work towards creating fair and inclusive AI systems.

    Additionally, there is the issue of accountability. Who is responsible when an AI system makes a mistake or harms someone? It is important for organizations to establish clear lines of accountability and to ensure that there are mechanisms in place to address any negative impacts of AI and data analysis.

    As we navigate this ethical frontier, it is vital for policymakers, technologists, and society as a whole to engage in thoughtful discussions and debates about the ethical implications of AI and data analysis. By working together to establish ethical guidelines and best practices, we can harness the power of these technologies for the greater good while minimizing potential risks and harms.
    #Ethical #Frontier #Data #Analysis

  • Novel Aspects of COVID-19 after a Two-Year Pandemic

    Novel Aspects of COVID-19 after a Two-Year Pandemic


    Price: $76.55 – $66.54
    (as of Dec 27,2024 17:58:55 UTC – Details)


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    As we approach the two-year mark since the COVID-19 pandemic began, it’s important to reflect on the novel aspects of this virus that have emerged over the past two years. While much has been learned about COVID-19 since its initial outbreak, there are still many unanswered questions and new developments that continue to shape our understanding of the virus.

    One novel aspect of COVID-19 that has emerged in recent months is the rise of variants. As the virus continues to spread and replicate, it has the potential to mutate and create new variants that may be more transmissible or resistant to current vaccines. Keeping up with the evolving landscape of COVID-19 variants has become a key focus for researchers and public health officials as they work to control the spread of the virus.

    Another novel aspect of COVID-19 is the long-term health effects that some individuals experience after recovering from the virus. Known as long COVID or post-acute sequelae of SARS-CoV-2 infection (PASC), these lingering symptoms can include fatigue, shortness of breath, brain fog, and more. Understanding and addressing the long-term impacts of COVID-19 is crucial for providing appropriate care and support for those affected.

    Additionally, the global vaccination effort against COVID-19 has been a novel and unprecedented undertaking. The rapid development and deployment of multiple vaccines has been a remarkable achievement, but challenges remain in ensuring equitable access to vaccines for all populations. Monitoring vaccine effectiveness, addressing vaccine hesitancy, and adapting vaccination strategies to new variants are ongoing priorities in the fight against COVID-19.

    As we continue to navigate the complexities of the COVID-19 pandemic, staying informed and adapting to new developments will be crucial. By recognizing and addressing these novel aspects of the virus, we can work towards controlling the spread of COVID-19 and ultimately overcoming this global crisis.
    #Aspects #COVID19 #TwoYear #Pandemic

  • AI-Powered Advances in Pharmacology

    AI-Powered Advances in Pharmacology


    Price: $535.00
    (as of Dec 27,2024 17:37:11 UTC – Details)


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    ASIN ‏ : ‎ B0CWH19TWL
    Publisher ‏ : ‎ IGI Global (September 14, 2024)
    Language ‏ : ‎ English
    Hardcover ‏ : ‎ 300 pages
    ISBN-13 ‏ : ‎ 979-8369332122
    Item Weight ‏ : ‎ 2.43 pounds
    Dimensions ‏ : ‎ 7 x 1.13 x 10 inches

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    AI-Powered Advances in Pharmacology: Revolutionizing Drug Discovery and Development

    Artificial intelligence (AI) has been making significant strides in the field of pharmacology, transforming the way drugs are discovered, developed, and prescribed. With the ability to analyze large datasets, identify patterns, and predict outcomes, AI has the potential to revolutionize the pharmaceutical industry.

    One of the key areas where AI is making an impact is in drug discovery. Traditional methods of drug discovery can be time-consuming, expensive, and often result in a high failure rate. AI, on the other hand, can quickly sift through vast amounts of data to identify potential drug candidates, predict their efficacy and safety, and even suggest new drug targets. This has the potential to significantly speed up the drug discovery process and increase the chances of success.

    AI is also being used to personalize medicine and improve patient outcomes. By analyzing a patient’s genetic and medical data, AI can help identify the most effective treatment options for individual patients, taking into account factors such as drug interactions, side effects, and disease progression. This personalized approach to medicine has the potential to revolutionize healthcare by providing more targeted and effective treatments.

    Furthermore, AI is helping to optimize clinical trials by identifying patients who are most likely to respond to a particular treatment, reducing the time and cost of drug development. AI can also help to identify potential safety issues early in the drug development process, leading to safer and more effective drugs.

    Overall, AI-powered advances in pharmacology are transforming the way drugs are discovered, developed, and prescribed, leading to more effective treatments, personalized medicine, and improved patient outcomes. As AI continues to evolve, it is likely to play an increasingly important role in shaping the future of pharmacology.
    #AIPowered #Advances #Pharmacology

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