Space-Air-Ground Integrated network(SAGIN) is a heterogeneous network which combines ground network, air network and space *** SAGIN, a sub-network access algorithm based on reinforcement learning is proposed to make ...
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In this paper we propose an Artificial Neural Network (ANN) based approach to reduce the computational complexity on solving the combinatorial optimization problem of resource allocation in a downlink multicarrier non...
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There is a rapid increase in the amount of High Dynamic Range (HDR) display devices that are able to offer significantly better viewing experience with higher contrast and richer colors. However, there is a considerab...
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ISBN:
(纸本)9781728111988
There is a rapid increase in the amount of High Dynamic Range (HDR) display devices that are able to offer significantly better viewing experience with higher contrast and richer colors. However, there is a considerable shortage of content that is able to offer the much-sought-after HDR experience. One approach is to capture new content using specialized HDR-cameras, which are typically fewer and costlier than the conventional cameras. Another approach is to convert existing Standard Dynamic Range (SDR) content into HDR artificially, such that, it can reasonably mimic the viewing experience that a "true" HDR content would have offered. With the latter approach, we propose a Gaussian Process Regression (GPR) based machinelearning method for estimating HDR content from their SDR counterparts. GPR is known as a powerful technique for estimating continuous real-valued functions. Given a set of training SDR-HDR image pairs, our proposed method is able to estimate the reverse tone mapping function that is used to convert SDR signal into its HDR equivalent. Preliminary experimental results indicate that our approach produces visually pleasing HDR images.
Conventional analog circuit design is complicated due to non-linearity. Due to which the design process was more complex in terms of hand calculations and was time-consuming. This paper estimate the aspect ratio for M...
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The proceedings contain 98 papers. The topics discussed include: improvisation of electric vehicle charging using PV module and efficient wind turbine;integrating machinelearning algorithms for accurate ovarian cance...
ISBN:
(纸本)9798350318456
The proceedings contain 98 papers. The topics discussed include: improvisation of electric vehicle charging using PV module and efficient wind turbine;integrating machinelearning algorithms for accurate ovarian cancer diagnosis: a state-of-the-art review;a comparative study on using English ASR models for leveraging medical speech recognition system;multivariate time series forecasting to forecast weight dynamics;blockchain-based rice seed tracking: a sustainable agricultural solution;implications of continual learning for lesion of the skin categorizing and detection;six-axis robotic arm integration with computer vision for autonomous object detection using TensorFlow;and advancements in signalprocessing: a comprehensive review of discrete wavelet transform and fractional wavelet filter techniques.
This research offers an in-depth comparison of emotion detection models developed using real-world and synthetic datasets in the field of artificial intelligence andmachinelearning. The research rigorously analyses ...
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This work describes an automated condition monitoring framework to process and analyze vibration data measured on wind turbine gearboxes. The current state-of-the-art in signalprocessing often leads to a large quanti...
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ISBN:
(纸本)9780791858899
This work describes an automated condition monitoring framework to process and analyze vibration data measured on wind turbine gearboxes. The current state-of-the-art in signalprocessing often leads to a large quantity in health indicators thanks to the multiple potential pre-processing steps. Such large quantities of indicators become unfeasible to inspect manually when the data volume and the number of monitored turbines increases. Therefore, this paper proposes a hybrid analysis approach that combines advanced signalprocessing methods with machinelearning and anomaly detection. This approach is investigated on an experimental wind turbine gearbox vibration data set. It is found that the combination of physics -based statistical indicators with machinelearning is capable of detecting planetary gear stage damage and significantly simplifying the data analysis and inspection in the process.
Emotion recognition is the process to study about the emotions in a human being. This is a research field where one can understand and recognize the feelings of human and ability of expression which varies from each o...
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According to existing multiple choice of detonating fuse, the setting, initiating the shortage of the existing control direction, adopt multi-function control system design scheme based on DSP, with concise, highly au...
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In order to improve the accuracy of test sample data of distribution communication network fusion control, an improved machinelearning technology for distribution communication network fusion control was established....
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