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Case Studies in Machine Learning Deployment, presents a comprehensive exploration of how machine learning models transition from theoretical development to real-world implementation. While building accurate models is essential, successful deployment requires a…
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In today's highly competitive market environment, organizations face significant challenges in retaining customers due to increasing competition, evolving customer expectations, and unpredictable churn behavior. In order to address these concerns and predict c…
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2022-05-25T13:53:41Z
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The increasing penetration of renewable energy sources within modern power systems introduces significant challenges associated with variability, uncertainty, and dynamic load management. Accurate forecasting and intelligent power distribution have therefore b…
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2002-12-22T04:48:21Z
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Forensic anthropology plays an imperative part in examining skeletal remains and providing necessary insights into legal proceedings. With the advancement of technology, the assimilation of machine-learning (ML) algorithms with anthropological methods will pro…
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Abstract Medical imaging plays an important role in the detection, diagnosis, and treatment monitoring of brain disorders. Neuroimaging includes different modalities such as magnetic resonance imaging (MRI), X-ray computed tomography (CT), positron emission to…
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2012-11-02T10:45:12Z
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Machine learning (ML) uses multilayer neural networks to describe complex behaviours and patterns. Deep learning models on huge cybersecurity datasets can improve anomaly detection, vulnerability prediction, and real-time incident response. This chapter discus…
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The advancement in sequencing techniques has led to huge data generation. Querying information from this data has become a major challenge. Artificial intelligence (AI) has become a powerful tool in the field of genomics. The advancements in sequencing technol…
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The sixth issue of the European Journal of Radiology Artificial Intelligence (EJR AI) reflects a field that is moving from technical ambition towards clinical accountability. This issue therefore tells a broader story. Innovation remains essential, but innovat…
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Since time immemorial, universities have played a foundational role in disseminating knowledge and pushing boundaries through spectacular inventions in science, medicine, and technology. This article explores the role of universities in the context of the asce…
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When thought discovers touch, intelligence remembers it has a body.
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This research paper delves into the integration of advanced generative artificial intelligence (AI) models, such as ChatGPT, Bard, and similar architectures, within the realms of architectural design and engineering. The comprehensive study explores various as…
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Musicology is the scholarly, scientific, and humanistic study of music. Historical musicology studies the development of musical works, styles, and practices over time, using archival research and contextual analysis. Archival research involves examining origi…
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This chapter proposes an integrated Blockchain–IoT–AI framework for secure and intelligent quality traceability, particularly in agricultural and rice supply chains. It explains how IoT sensors can continuously collect physical and environmental information, A…
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An overview of the advancements and challenges in the arti cial intelligence of things (AIoT) elds, focusing on various applications in agriculture, pandemic prevention, algae farming, livestock surveillance, and the smart supply chain, was summarized.It highl…
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This chapter examines how artificial intelligence technologies can be incorporated into the existing international and national maritime regulatory framework in order to strengthen the protection of human life at sea. Through a structured review of prior scien…
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