2.035 hasil untuk machine learning
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Advanced Methods of Power Load Forecasting
This reprint introduces advanced prediction models focused on power load forecasting. Models based on artificial intelligence and more traditional approaches are shown, demonstrating the real possibilities of use to improve prediction in this field. Models of LSTM neural networks, LSTM networks…
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Feature Papers in Medical Statistics and Data Science Section
…science, covering meta-analysis, the assessment of clinical outcomes, machine learning, medical diagnostics, and genomic factors.
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Application of Vision Technology and Artificial Intelligence in Smart Farming
Artificial intelligence (AI) has been gaining traction in smart agriculture. Machine learning (ML) can be used for environmental and production performance data analysis and prediction, and computer vision (CV) can monitor abnormal phenotypes in plants and animals. They have massive potential to…
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Civil Engineering Innovations for Sustainable Communities with Net Zero Targets
This volume on civil engineering innovations for sustainable communities with net zero targets aligns with the United Nations sustainable development goals in the context of civil engineering innovations. Major topics covered include hydrological alterations under climate change, smart water…
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Data Science for Economics and Finance
This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some…
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Artificial Intelligence in Cancer, Biology and Oncology
This reprint covers some significant impacts in recent research, in both the private and public sectors of cancer biology and oncology, in which artificial intelligence (AI) and machine learning are significant. This reprint is also a collection of forty different complex and challenging problems…
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Chapter Operationalizing Heterogeneous Data-Driven Process Models for Various Industrial Sectors through Microservice-Oriented Cloud-Based Architecture
Industrial performance optimization increasingly makes the use of various analytical data-driven models. In this context, modern machine learning capabilities to predict future production quality outcomes, model predictive control to better account for complex multivariable environments of process…
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Digital Innovations in Agriculture—Series II
…are more and more frequently being used, including those based on machine learning, artificial neural networks, Internet of Things (IoT), Big Data, and Digital Twins. They are widely applied in solving various optimization tasks in the agri-food production processes in the context of the increasing…
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Moral Codes
…and better programming languages: More Open Representations, Access to Learning, and Control Over Digital Expression, in other words, MORAL CODE. Blackwell draws on his deep experiences as a programming language designer—which he has been doing since 1983—to unpack fundamental principles of…
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Advances in Intelligent Sensors and IoT Solutions
…structures, digital twin technologies in Industry 5.0, cloud-based machine learning, the Internet of remote things, and microgrid technologies.
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Global Fintech
How the global financial services sector has been transformed by artificial intelligence, data science, and blockchain. Artificial intelligence, big data, blockchain, and other new technologies have upended the global financial services sector, creating opportunities for entrepreneurs and corporate…
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The XXXII Conference on Electrical and Electronic Engineering
…technologies; x) mobile communications; xi) cybersecurity; and xii) machine learning. In addition, this was a space to share with the academic and industry community the novel studies that have been carried out worldwide on topics related to power systems, renewable energy, telecommunications…
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Advances and Novel Approaches in Discrete Optimization
Discrete optimization is an important area of Applied Mathematics with a broad spectrum of applications in many fields. This book results from a Special Issue in the journal Mathematics entitled ‘Advances and Novel Approaches in Discrete Optimization’. It contains 17 articles covering a broad…
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Building's Vulnerability Assessment against Natural Hazards by Using Modern Computational Techniques
…methods, such as artificial neural networks and fuzzy logicmachine learning, which have demonstrated unparalleled efficiency in dealing with big data and capturing non-linear relationships among various parameters affecting a building's resilience against earthquakes, floods, and other natural…
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Battery Management in Electric Vehicles: Current Status and Future Trends
…battery studies to the utilization of neural network modeling and machine learning to optimize battery performance, enhance efficiency, and ensure prolonged lifespan.
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Intelligent Biosignal Processing in Wearable and Implantable Sensors
…interpretation for biomedical applications. Revealing examples are brain–machine interfaces for medical rehabilitation, the evaluation of sympathetic nerve activity, a novel automated diagnostic tool based on ECG data to diagnose COVID-19, machine learning-based hypertension risk assessment by…
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Recent Progress in UAV-AI Remote Sensing
This reprint delves into the cutting-edge intersection of Unmanned Aerial Vehicles (UAV) and Artificial Intelligence (AI), offering a comprehensive look at how these technologies are revolutionizing vegetation monitoring, target tracking, and various other applications. Featuring 15 in-depth…
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Inputs of Engineering Education towards Sustainability
This Special Issue does not aim to address the technical approach of each solution but rather to share educational experiences and maybe influence other teachers to invest in similar practices, from simple individual actions to departmental or school directives. Teachers, no matter the expertise…
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Digital Image Processing: Advanced Technologies and Applications
…Issue includes contributions on advanced image analysis techniques, machine learning algorithms for object detection, real-time image processing systems, and innovative solutions for complex imaging challenges. The insights provided are valuable for both academic researchers and industry…
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2022 and 2023 Selected Papers from Algorithms Editorial Board Members
…the development of algorithms, e.g. papers dealing with neural networks, machine learning or deep learning approaches or new metaheuristic algorithms.
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