2.035 hasil untuk machine learning
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Advances in Vehicular Networks
Connected and automated vehicles have revolutionized the way we move, granting new services on roads. This Special Issue collects contributions that address reliable and ultra-low-latency vehicular applications that range from advancements at the access layer, such as using the visible light…
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Statistical Methods for the Analysis of Genomic Data
In recent years, technological breakthroughs have greatly enhanced our ability to understand the complex world of molecular biology. Rapid developments in genomic profiling techniques, such as high-throughput sequencing, have brought new opportunities and challenges to the fields of computational…
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Ensemble Forecasting Applied to Power Systems
Modern power systems are affected by many sources of uncertainty, driven by the spread of renewable generation, by the development of liberalized energy market systems and by the intrinsic random behavior of the final energy customers. Forecasting is, therefore, a crucial task in planning and…
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Cryptography and Its Applications in Information Security
Nowadays, mankind is living in a cyber world. Modern technologies involve fast communication links between potentially billions of devices through complex networks (satellite, mobile phone, Internet, Internet of Things (IoT), etc.). The main concern posed by these entangled complex networks is…
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Magnetic and Spin Devices
As the scaling of electronic semiconductor devices displays signs of saturation, the main focus of research in microelectronics is shifting towards finding new computing paradigms. Electron spin offers additional functionality to digital charge-based devices. Several fundamental problems, including…
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Soziologie der Künstlichen Intelligenz
Die Erforschung Künstlicher Intelligenz (KI) ist in den letzten Jahren in eine neue Phase eingetreten. Der erleichterte Zugriff auf große Datenmengen und die Fortschritte im Bereich des maschinellen Lernens, insbesondere auf der Basis künstlicher neuronaler Netze, haben dabei zahlreiche neue…
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Developing “Smartness” in Emerging Environments and Applications with Focus on the Internet of Things (IoT)
This reprint focusses on Smartness, a multidisciplinary topic, which is examined from four perspectives: Sensors, IoT, and Data Generation; Data and Information Processing; Actuation; and Digital Systems and Infrastructure. We see smartness in the way sensing is embedded in a system, the way data…
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Intelligent Sensors for Positioning, Tracking, Monitoring, Navigation and Smart Sensing in Smart Cities
…environments. Relevant advances in artificial intelligence (AI) and machine learning (ML) are also finding rapid adoption by industry and fan the fire. Consequently, research on intelligent sensing systems and technologies has attracted considerable attention during the past decade, leading to a…
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Wearable and Nearable Biosensors and Systems for Healthcare
Biosensors and systems in the form of wearables and “nearables” (i.e., everyday sensorized objects with transmitting capabilities such as smartphones) are rapidly evolving for use in healthcare. Unlike conventional approaches, these technologies can enable seamless or on-demand physiological…
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Methods and Applications of Data Management and Analytics
This Special Issue of Applied Sciences focuses on innovative methods and applications in data management and analytics, addressing the challenges posed by the growing volume, velocity, and variety of data in today's world. This Issue highlights advancements in big data processing, data mining…
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Algorithms for Smart Cities
As time goes by, the concept of a "smart city" encompasses an increasing number of aspects. Essentially, when we think of a modern city, we would like it to offer a vibrant and safe living environment for its community of residents: healthy indoor living spaces, green outdoor spaces for leisure and…
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Annals of Scientific Society for Assembly, Handling and Industrial Robotics 2022
This Open Access proceedings presents a good overview of the current research landscape of assembly, handling and industrial robotics. The objective of MHI Colloquium is the successful networking at both academic and management level. Thereby, the colloquium focuses an academic exchange at a high…
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Crops and Vegetation Monitoring with Remote/Proximal Sensing
Remote sensing is a powerful technique for characterizing and monitoring crop or vegetation properties at reasonable temporal and spatial resolutions. Remote sensing uses airborne and spaceborne platforms to collect various imageries and is widely applied for the vegetation monitoring of local- or…
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Annals of Scientific Society for Assembly, Handling and Industrial Robotics 2021
This Open Access proceedings presents a good overview of the current research landscape of assembly, handling and industrial robotics. The objective of MHI Colloquium is the successful networking at both academic and management level. Thereby, the colloquium focuses an academic exchange at a high…
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Buku Teks lengkap
Intelligent Agricultural Machinery and Robots
The rising global population requires more food to satiate the growing dietary needs. Meanwhile, the aging population and declining agricultural labor have caused agricultural production costs to increase. Robots and automated machinery improved management and efficiency, increased productivity…
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Geological Hazards and Risk Management
The escalating threat of geohazards is propelled by both human activity and global climate change. “Recent Advances in Geohazards and Risk Management" is a reprint that addresses this escalating threat, consolidating international advancements and practical experiences to offer readers a…
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New Challenges in Solar Radiation, Modeling and Remote Sensing
…information is employed as a part of the methodology. The use of machine learning algorithms in solar irradiance modeling and solar power forecasting is included in some of the works here presented. This is a topic with high interest nowadays because of the impact in solar energy deployment and in…
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Bioprocess Monitoring and Control
Process monitoring and control are fundamental to all processes; this holds especially for bioprocesses, due to their complex nature. Usually, bioprocesses deal with living cells, which have their own regulatory systems. It helps to adjust the cell to its environmental condition. This must not be…
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Data Science in Healthcare
Data science is an interdisciplinary field that applies numerous techniques, such as machine learning, neural networks, and deep learning, to create value based on extracting knowledge and insights from available data. Advances in data science have a significant impact on healthcare. While advances…
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