Rezultati pretrage - learning algorithm

Chapter Machine Learning Techniques to Mitigate Nonlinear Phase Noise in Moderate Baud Rate Optical Communication Systems od Bogoni, A., Fern&#225, o, ndez, E., C&#225, a, rdenas Soto, A., Guerrero Gonzalez, N., Serafino, G., Ghelfi, P.

“…Symbol shape characterization was obtained experimentally at a moderate baud rate (250 MBd) for constellations impaired by phase noise due to a mismatch between the optical carrier and the transmitted radio frequency signal. Machine learning algorithms have become a powerful tool to perform monitoring and to identify and mitigate distortions introduced in both the electrical and optical domains. …”
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Probability in Electrical Engineering and Computer Science od Walrand, Jean

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Ray Tracing Gems II

“…Ray tracing is also a fundamental algorithm used for architecture applications, visualization, sound simulation, deep learning, and more. …”
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Spiking Neural Network Learning, Benchmarking, Programming and Executing

Teme: “…SNN learning algorithms…”
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Selected Papers from the First International Symposium on Future ICT (Future-ICT 2019) in Conjunction with 4th International Symposium on Mobile Internet Security (MobiSec 2019)

Teme: “…fast algorithm…”
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Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences

Teme: “…bio-optical algorithm…”
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Soil Erosion and Sustainable Land Management (SLM)

“…The first part deals with assessment of soil erosion that covers historical sediment dating to understand past environmental impacts due to tillage; laboratory simulation to clarify the effect of soil surface microtopography; integrated field observation and the random forest machine learning algorithm to assess watershed-scale soil erosion assessment; and developing the sediment delivery distributed (SEDD) model for sub-watershed erosion risk prioritization. …”
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Operationalization of Remote Sensing Solutions for Sustainable Forest Management

“…The studies come from three continents and cover multiple remote sensing systems (including terrestrial mobile laser scanning, unmanned aerial vehicles, airborne laser scanning, and satellite data acquisition) and a diversity of data processing algorithms, with a focus on machine learning approaches. …”
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Mathematical Modelling of Energy Systems and Fluid Machinery

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Electric Systems for Transportation

Teme: “…deep reinforcement learning (DRL)…”
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Advanced Deep Learning Strategies for the Analysis of Remote Sensing Images

Teme: “…machine learning…”
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Inverse Dynamics Problems

Teme: “…inverse algorithm…”
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Data Science: Measuring Uncertainties

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Process Modeling in Pyrometallurgical Engineering

Teme: “…genetic algorithm…”
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UAV Photogrammetry and Remote Sensing

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Advances in Condition Monitoring, Optimization and Control for Complex Industrial Processes

Teme: “…improved compact genetic algorithm…”
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Networks, Communication, and Computing Vol. 2

Teme: “…deep learning…”
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Sensors Fault Diagnosis Trends and Applications

Teme: “…krill herd algorithm…”
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Applications of Remote Sensing Data in Mapping of Forest Growing Stock and Biomass

Teme: “…machine learning algorithms…”
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Intelligent Transportation Related Complex Systems and Sensors

Teme: “…machine learning…”
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