2.035 hasil untuk machine learning
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Advances in Remote Sensing-based Disaster Monitoring and Assessment
Remote sensing data and techniques have been widely used for disaster monitoring and assessment. In particular, recent advances in sensor technologies and artificial intelligence-based modeling are very promising for disaster monitoring and readying responses aimed at reducing the damage caused by…
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Advances in AI for Health and Medical Applications
The past decade has witnessed an explosive growth in the development and use of artificial intelligence (AI) across diverse fields; healthcare is no exception. In fact, AI is at the forefront of driving pivotal changes in the healthcare sector, opening up innovative and enhanced methods of care…
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Experimentation in 5G and beyond Networks: State of the Art and the Way Forward
Special Issue “Experimentation in 5G and beyond Networks: State of the Art and the Way Forward” collected original contributions on experimental aspects related to 5th Generation (5G) and Beyond-5G (B5G) networks and systems.Ten high-quality papers were accepted to appear in this Special Issue…
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Application of Remote Sensing and GIS in Droughts and Floods Assessment and Monitoring
…investigations based on different techniques such as remote sensing, GIS, machine learning and monitoring. All papers present findings characterized as unconventional, provocative, innovative and methodologically new. Scientific findings presented in this Special Issue highlight how a combination…
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High Performance Computing and Artificial Intelligence for Geosciences
…for flood behavior modeling. Zhang et al. proposed an efficient deep learning-based mineral identification method. Subsequently, Huang et al. proposed a named entity recognition method for geological news based on BERT model. Yang et al. proposed an automatic landslide identification method to…
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Bridging the Gap Between AI and Reality
This open access book constitutes revised selected papers from the Second International Conference on Bridging the Gap between AI and Reality, AISoLA 2024, which took place in Crete, Greece, in October/November 2024. The papers included in this book extend the presentation in the AISoLA 2024…
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Information Theory for Data Science
…that arise in data science, including social networks, ranking, and machine learning. The book is written as a text for senior undergraduate and graduate students working on Information Theory and Communications, and it should also prove to be a valuable reference for professionals and engineers…
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Medical Data Processing and Analysis
…diagnostic (CAD) systems use classical image processing, computer vision, machine learning, and deep learning methods for image analysis. Using image classification or segmentation algorithms, they find a region of interest (ROI) pointing to a specific location within the given image or an outcome…
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Exploring IoT Sensors and Their Applications
This reprint delves into the cutting-edge world of IoT sensors and their transformative applications in smart environments. It presents a comprehensive overview of the latest advancements in sensor technologies, addressing critical challenges such as the need for more accurate, reliable, and…
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Wind and Wave Energy Resource Assessment and Combined Utilization
…size optimization of WEC, optimized control of an ocean WEC System, machine learning and deep learning for modelling an offshore hybrid wind-wave energy system, and other topics.
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Artificial Intelligence for Multisource Geospatial Information
…methods of Geospatial Artificial Intelligence (GeoAI) based on deep learning using different network architectures, clustering, soft computing, and semantic approaches. They are proposed to deal with a variety of Geospatial Big Data (GBD), such as georeferenced texts and photos in social networks…
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Hybrid Intelligent Modeling Technology and Optimization Strategy for Industrial Energy Consumption Processes
…in industrial processes. The integration of advanced technologies such as machine learning, artificial intelligence and data analytics will play a pivotal role in achieving energy efficiency, reducing environmental impacts and ensuring the sustainability of industrial operations. Research areas…
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Artificial Intelligence Techniques for Solar Irradiance and PV Modeling and Forecasting
…Reprint include empirical research across various subjects, encompassing machine learning and IoT for PV monitoring. The Reprint explores the effects of shading and dust on PV systems and presents AI-driven solutions. It also delves into PV modeling, optimization, and innovative strategies to…
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ERP and EEG Markers of Brain Visual Attentional Processing
This book comprises research articles contributed to the Special Issue on “ERP and EEG Markers of Brain Visual Attentional Processing” of the Brain Sciences journal by a panel of authoritative international cognitive neuroscientists and electrophysiologists. All articles present state-of-the-art…
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Advanced Wireless Sensor Networks: Applications, Challenges and Research Trends
The ability of wireless sensor networks (WSNs) to support a practically endless variety of human activities places them among the most rapidly developing domains of technology with a continuously growing range of applications. On the other hand, the utilization of WSNs is obstructed because of not…
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Application of Intelligent Techniques in Power System Stability, Control and Protection
The central objective of this reprint is to present the vital factors associated with smart grid systems, reliability assessment, protection methodologies, and design advancements through recent research findings to utility engineers, engineering students, research scholars, and power managers…
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Industry 4.0 for SMEs - Smart Manufacturing and Logistics for SMEs
In recent years, the industrial environment has been changing radically due to the introduction of concepts and technologies based on the fourth industrial revolution, also known as Industry 4.0. After the introduction of Industry 4.0 in large enterprises, SMEs have moved into the focus, as they…
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Operationalization of Remote Sensing Solutions for Sustainable Forest Management
…and a diversity of data processing algorithms, with a focus on machine learning approaches. The focus of the studies ranges from identification and characterization of individual trees to deriving national- or even continental-level forest attributes and maps. There are studies carefully describing…
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Queer Reflections on AI
…differently. The chapters pose questions about the politics and ethics of machine embodiments and data imaginaries on the one hand, and about technical possibilities for a production of social identities characterised by shifting diversity and multiplicity on the other, as they are mediated by and…
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Smart Mobile and Sensing Applications
The introduction of machine learning and deep learning technology to wireless sensor networks to improve perception has become a global trend in research on mobile sensing technology. This reprint focuses on the studies related to mobile sensing systems and applications based on intelligent…
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