Výsledky vyhľadávania - "pointwise convolution"

Plant Disease Identification Using a Novel Convolutional Neural Network Autor Hassan, Sk Mahmudul, Maji, Arnab Kumar

“…The timely identification of plant diseases prevents the negative impact on crops. Convolutional neural network, particularly deep learning is used widely in…”
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LightLog: A lightweight temporal convolutional network for log anomaly detection on the edge Autor Wang, Zumin, Tian, Jiyu, Fang, Hui, Chen, Liming, Qin, Jing

“…Log anomaly detection on edge devices is the key to enhance edge security when deploying IoT systems. Despite the success of many newly proposed deep learning…”
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Exponential linear units-guided Depthwise separable convolution network with cross attention mechanism for hyperspectral image classification Autor Gao, Ming, Qian, Pengjiang

“…•In this paper, a novel multi-stage convolutional neural network is proposed to maximize the extraction of HSI spatial-spectral features to improve the HSI…”
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Depthwise Separable Convolution Neural Network for High-Speed SAR Ship Detection Autor Zhang, Tianwen, Zhang, Xiaoling, Shi, Jun, Wei, Shunjun

“…As an active microwave imaging sensor for the high-resolution earth observation, synthetic aperture radar (SAR) has been extensively applied in military,…”
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Learning traffic as videos: Short-term traffic flow prediction using mixed-pointwise convolution and channel attention mechanism Autor Feng, Ruijun, Chen, Mingzhou, Song, Yaqi

“…In the construction of intelligent transportation systems, short-term traffic flow prediction is of great significance for the advancement of traffic network…”
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Context extraction module for deep convolutional neural networks Autor Singh, Pravendra, Mazumder, Pratik, Namboodiri, Vinay P.

“…•A novel approach to improve pointwise convolution by using context information.•Context information extracted and refined at multiple scales.•Improves network…”
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Automatic Railway Traffic Object Detection System Using Feature Fusion Refine Neural Network under Shunting Mode Autor Ye, Tao, Wang, Baocheng, Song, Ping, Li, Juan

“…Many accidents happen under shunting mode when the speed of a train is below 45 km/h. In this mode, train attendants observe the railway condition ahead using…”
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Lightweight image super-resolution network based on extended convolution mixer Autor Gendy, Garas, Sabor, Nabil, He, Guanghui

“…The single image super-resolution (SISR) is a computer vision task needed in many real-world applications. There are many methods developed to solve ill-posed…”
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Efficient neural network using pointwise convolution kernels with linear phase constraint Autor Liang, Feng, Tian, Zhichao, Dong, Ming, Cheng, Shuting, Sun, Li, Li, Hai, Chen, Yiran, Zhang, Guohe

“…In current efficient convolutional neural networks, 1 × 1 convolution is widely used. However, the amount of computation and the number of parameters of 1 × 1…”
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Index tracking using shapley additive explanations and one-dimensional pointwise convolutional autoencoders Autor Zhang, Yanyi, De Smedt, Johannes

“…The aim of index tracking is to mimic the performance of a benchmark index via minimizing the tracking error between the returns of the market index and the…”
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Motor imagery electroencephalography channel selection based on deep learning: A shallow convolutional neural network Autor Kashefi Amiri, Homa, Zarei, Masoud, Daliri, Mohammad Reza

“…Electroencephalography (EEG) motor imagery (MI) signals have recently attracted much attention because of their potential to communicate with the surrounding…”
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Soil-MobiNet: A Convolutional Neural Network Model Base Soil Classification to Determine Soil Morphology and Its Geospatial Location Autor Gyasi, Emmanuel Kwabena, Purushotham, Swarnalatha

“…Scholars have classified soil to understand its complex and diverse characteristics. The current trend of precision agricultural technology demands a change in…”
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Activation Function and Compression Model for Lightweight Convolutional Network Autor XU Zengmin, CHEN Kai, GUO Weiwei, ZHAO Ruwen, JIANG Zhansi

“…The abundance of computing and storage resources required in model training to relieve the parameter expansion of a deep convolution neural network, limiting a…”
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HP-MobileNetV3: a lightweight neural network for non-intrusive load monitoring Autor Li, Shukang, Zhao, Sheng, Gao, Ping, Ge, Shiwei, Huang, Ruize, Shu, Liang

“…Non-intrusive load monitoring (NILM) constitutes an extremely promising technology within the realm of intelligent energy management. Its application possesses…”
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Transformer-style convolution network for lightweight image super-resolution Autor Gendy, Garas, Sabor, Nabil

“…Recently, Transformer-based techniques have demonstrated impressive effectiveness across various high- and low-level vision tasks by leveraging the…”
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Edge-Computing-Enabled Unmanned Module Defect Detection and Diagnosis System for Large-Scale Photovoltaic Plants Autor Li, Xiaoxia, Li, Wei, Yang, Qiang, Yan, Wenjun, Zomaya, Albert Y.

“…The power efficiency of photovoltaic (PV) modules is highly correlated with their health status. Under dynamically changing environments, PV defects could…”
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A two stage deep supervised learning model with inter-layer weight sharing for multi class medical image classification Autor Poonam Moral, Debjani Mustafi, Sudip Kumar Sahana

“…Abstract Cervical cancer is a lethal condition that develops in the uterine cervix of sexually active women. Despite years of research, it remains an immense…”
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Recursive lightweight convolutional neural networks that make noisy images purer and purer Autor Shi, Jiayi, Li, Taiyong, Xu, Jiaxuan

“…Convolutional neural network (CNN) has shown its superpower in image denoising in recent years. However, most CNN models suffer from a large number of model…”
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A compact and flexible FPGA accelerator for regular and octave convolutional neural networks Autor See, Jin-Chuan, Ng, Hui-Fuang, Tan, Hung-Khoon, Chang, Jing-Jing, Lee, Wai-Kong

“…Edge artificial intelligence (AI) is powerful in harnessing AI to provide real-time, scalable, and secure solutions directly at the edge. However, developing…”
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Optimized pointwise convolution operation by Ghost blocks Autor Xu, Xinzheng, Ding, Yanyan, Lv, Zhenhu, Li, Zhongnian, Sun, Renke

“…In the lightweight convolutional neural network model, the pointwise convolutional structure occupies most of the parameters and computation amount of the…”
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