2.035 hasil untuk machine learning
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Electrification of Smart Cities
Electrification plays a key role in decarbonizing energy consumption for various sectors, including transportation, heating, and cooling. There are several essential infrastructures for a smart city, including smart grids and transportation networks. These infrastructures are the complementary…
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Advanced Artificial Intelligence Models and Its Applications
…AI has witnessed a significant breakthrough with the advent of deep learning, which has facilitated the employment of various AI models across a multitude of domains. This reprint features ten papers accepted for publication in the Special Issue titled "Advanced Artificial Intelligence Models and…
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Medical Data Processing and Analysis
The second edition of the Special Issue “Medical Data Processing and Analysis” highlights groundbreaking advancements in leveraging AI, ML, and emerging technologies for healthcare. Studies showcase innovative methods for enhancing diagnostic accuracy, such as explainable AI for autism detection…
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The 8th International Conference on Time Series and Forecasting
The aim of ITISE 2022 is to create a friendly environment that could lead to the establishment or strengthening of scientific collaborations and exchanges among attendees. Therefore, ITISE 2022 is soliciting high-quality original research papers (including significant works-in-progress) on any…
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Computational Methods for the Analysis of Genomic Data and Biological Processes
In recent decades, new technologies have made remarkable progress in helping to understand biological systems. Rapid advances in genomic profiling techniques such as microarrays or high-performance sequencing have brought new opportunities and challenges in the fields of computational biology and…
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Verbesserungen beim Laserschneiden mit Methoden des maschinellen Lernens
…is identified and then it is shown how improvements could be made using machine learning. For this purpose, a database was generated. It contains the process parameters, RGB images, 3D point clouds and various quality features of almost 4000 cut edges.
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Foundations of Probabilistic Programming
This book provides an overview of the theoretical underpinnings of modern probabilistic programming and presents applications in e.g., machine learning, security, and approximate computing. Comprehensive survey chapters make the material accessible to graduate students and non-experts. This title…
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Applied and Computational Statistics
Research without statistics is like water in the sand; the latter is necessary to reap the benefits of the former. This collection of articles is designed to bring together different approaches to applied statistics. The studies presented in this book are a tiny piece of what applied statistics…
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Forum Bildverarbeitung 2020
Image processing plays a key role for fast and contact-free data acquisition in many technical areas, e.g., in quality control or robotics. These conference proceedings of the “Forum Bildverarbeitung”, which took place on 26.-27.11.202 in Karlsruhe as a common event of the Karlsruhe Institute of…
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Proceedings of the 2020 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory
…vision and optical metrology to network security, usage control and machine learning. The results and ideas presented at the workshop are collected in this book.
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Forum Bildverarbeitung 2022
Image processing combines the disciplines of cameras – image-based sensors – with the processing of the sensor data – the images. From this follows the particular attraction of this field. The conference proceedings at hand of the “Image Processing Forum”, which took place on 24.-25.11.2022 in…
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Industrial Process Improvement by Automation and Robotics
The pursuit of industrial process improvement has been a continuous task in modern manufacturing and production. The confluence of automation and robotics has not only revolutionized manufacturing processes but has also redefined the benchmarks of efficiency, precision, and adaptability in various…
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Applied Neural Networks and Fuzzy Logic in Power Electronics, Motor Drives, Renewable Energy Systems and Smart Grids
Artificial intelligence techniques, such as expert systems, fuzzy logic, and artificial neural network techniques have become efficient tools in modeling and control applications. For example, there are several benefits in optimizing cost-effectiveness, because fuzzy logic is a methodology for the…
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Proceedings of 1st GENZERO Workshop
…infrastructure industries. Forward-looking discussions also explore how machine learning and AI-driven approaches could redefine safety and security standards, particularly in autonomous decision-making and continuous operations. Collectively, this volume provides invaluable insights for…
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Recent Advances and Contribution of Synthetic Aperture Radar (SAR) Applications for Agricultural Monitoring
…discussing SAR and its applications. Several papers focused on using machine learning approaches with SAR to monitor crop stages and classify crops, while others focused on the polarimetric mode to estimate crop height. Going forward, we hope that you will find this Special Issue to be a useful…
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Quantum Computing from Hopfield Nets
…for readers who have basic knowledge of Artificial Intelligence (AI) and Machine Learning (ML) and have a certain familiarity with search algorithms, optimization techniques, and neural networks. This is not because the authors are interested in Quantum AI or Quantum ML, but because they start from…
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Artificial Intelligence Methods Applied to Urban Remote Sensing and GIS
…seven papers related to the application of artificial intelligence, machine learning and deep learning algorithms using remote sensing and GIS techniques in urban areas.
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Genomics and Models of Nerve Sheath Tumors
Nerve sheath tumors can be a significant cause of morbidity for many patients. These include benign tumors such as schwannomas, diffuse and plexiform neurofibromas, and atypical neurofibromas, as well as the aggressive soft tissue sarcoma known as the malignant peripheral nerve sheath tumor…
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New Horizons in Web Search, Web Data Mining, and Web-Based Applications
…leading to various autonomous, proactive, content-exploring, self-learning, socially collaborative, and location-aware web applications. This Special Issue, “New Horizons in Web Search, Web Data Mining, and Web-Based Applications”, addresses existing knowledge gaps and aids in the advanced…
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Gradient Expectations
…finds, but of a different scope than those that belong to today's deep learning. Digging into the connections between predictions and gradients, and their manifestation in the brain and neural networks, is one compelling example of how Downing enriches both our understanding of such relationships…
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