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Apr 2 2020 nbsp 0183 32 An Efficient and Lightweight Convolutional Neural Network for Remote Sensing Image Scene Classification Sensors 20 7 1999 https doi 10 3390 s20071999

Electronics Free Full Text Efficient Convolutional Neural Networks , Sep 22 2024 nbsp 0183 32 Efficient Convolutional Neural Networks Utilizing Fine Grained Fast Fourier Transforms Electronics 13 18 3765 https doi 10 3390 electronics13183765

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Enabling Efficient Deep Convolutional Neural Network based Sensor

Feb 22 2022 nbsp 0183 32 To achieve this automated vehicles are now equipped with multiple sensors e g camera Lidar etc enabling them to exploit complementary environmental context by fusing data from different sensing modalities

Enabling Efficient Deep Convolutional Neural Network based Sensor , Feb 22 2022 nbsp 0183 32 Autonomous driving demands accurate perception and safe decision making To achieve this automated vehicles are now equipped with multiple sensors e g camera Lidar etc enabling them to

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Efficient Implementation Of Convolutional Neural Networks On , Efficient implementation of convolutional neural networks on FPGA Abstract Cyber Physical Systems CPS apply complex machine learning algorithms to process incoming sensor signals to interact with the embedding environment through actuators which is an inherently real time task

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Full Article Convolutional Neural Networks For Valid And Efficient Jan 27 2023 nbsp 0183 32 We have proposed and studied a semiparametric estimation strategy for average causal effects which combine convolutional neural network with AIPW As long as the conditions given are met this strategy yields locally efficient and uniformly valid inference

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May 11 2020 nbsp 0183 32 Methods this study proposes a new hybrid approach involving hierarchical dispersion entropy HDE and Adaptive Boosting with convolutional neural networks AdaB CNN for classifying human Efficient Convolutional Neural Networks With Smaller Filters For . Sep 28 2017 nbsp 0183 32 Rather than handcrafting a once off solution we present a generic pipeline that automatically converts a large deep convolutional network via compression and quantization into a network for Feb 9 2025 nbsp 0183 32 An Extensive Study of Convolutional Neural Networks Applications in Computer Vision for Improved Robotics Perceptions Sensors 2025 25 4 1033 https doi 10 3390 s25041033

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