Suchergebnisse - Auto Decoder Encoder

Audio signal quality enhancement using multi-layered convolutional neural network based auto encoder–decoder von Raj, Shivangi, Prakasam, P., Gupta, Shubham

“… In this research article, a multi-layered convolutional neural network (MLCNN) based auto-CODEC for audio signal enhancement which is utilizing the Mel-frequency cepstral coefficients (MFCC) has been proposed …”
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Wavelet-Based Deep Auto Encoder-Decoder (WDAED)-Based Image Compression von Mishra, Dipti, Singh, Satish Kumar, Singh, Rajat Kumar

“… In this work, we propose a Wavelet-based Deep Auto Encoder-Decoder Network (WDAED) based image compression which takes care of the various frequency components present in an image …”
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Forecasting weekly reference evapotranspiration using Auto Encoder Decoder Bidirectional LSTM model hybridized with a Boruta-CatBoost input optimizer von Karbasi, Masoud, Jamei, Mehdi, Ali, Mumtaz, Malik, Anurag, Yaseen, Zaher Mundher

“… In the present study, an efficient deep learning model, Auto Encode Decoder Bidirectional Long Short-Term Memory (AED-BiLSTM …”
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Developing a novel hybrid Auto Encoder Decoder Bidirectional Gated Recurrent Unit model enhanced with empirical wavelet transform and Boruta-Catboost to forecast significant wave height von Karbasi, Masoud, Jamei, Mehdi, Ali, Mumtaz, Abdulla, Shahab, Chu, Xuefeng, Yaseen, Zaher Mundher

“… ) and Auto Encoder Decoder Bidirectional Gated Recurrent Unit (AED-BiGRU) was used in forecasting daily significant wave height (Hs …”
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Redefining Retinal Lesion Segmentation: A Quantum Leap With DL-UNet Enhanced Auto Encoder-Decoder for Fundus Image Analysis von Kumar, B. Naveen, Mahesh, T. R., Geetha, G., Guluwadi, Suresh

“… In this study, encoder-decoder neural networks along with channel-wise spatial Attention Mechanisms are proposed …”
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Auto Graph Encoder-Decoder for Neural Network Pruning von Yu, Sixing, Mazaheri, Arya, Jannesari, Ali

“… We propose an automatic graph encoder-decoder model compression (AGMC) method combined with graph neural networks (GNN …”
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An Auto Encoder-Decoder Approach to Classify the Bird Sounds Using Deep Learning Techniques von Vamsi, Bandi, Mahanty, Mohan, Doppala, Bhanu Prakash

“… Nowadays identification of bird species is the main problem for ornithologists and ecologists. The increase in volumes of data labelling, still there is a …”
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Cost-Effective Foliage Penetration Human Detection Under Severe Weather Conditions Based on Auto-Encoder/Decoder Neural Network von Huang, Yan, Zhong, Yi, Wu, Qiang, Dutkiewicz, Eryk, Jiang, Ting

“… We present an auto-encoder/decoder (Auto-ED) deep neural network that can learn the deep representation and conduct classification task concurrently …”
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A Dual-Decoder Variational Auto-Encoder for Anomaly Detection von Dinh, Phai Vu, Nguyen, Diep N., Thai, Hoang Dinh, Nguyen, Quang Uy, Bao, Son Pham, Dutkiewicz, Eryk

“… , imbalance and particularly hidden features not directly observed in the raw data. To address this, we propose a novel neural network architecture/model, called Dual-Decoder Variational Auto-Encoder (DDVAE …”
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Image-To-Image Translation Using a Cross-Domain Auto-Encoder and Decoder von Yoo, Jaechang, Eom, Heesong, Choi, Yong Suk

“… We propose a new image-to-image translation method to minimize such shortcomings using an auto-encoder and an auto-decoder …”
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A Corpus-Based Auto-encoder-and-Decoder Machine Translation Using Deep Neural Network for Translation from English to Telugu Language von Mahanty, Mohan, Vamsi, Bandi, Madhavi, Dasari

“… As a result, the primary goal of this work is to propose an auto-encoder–decoder-based deep neural network for translating English to the Telugu language …”
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Serial Decoders-Based Auto-Encoders for Image Reconstruction von Li, Honggui, Trocan, Maria, Sawan, Mohamad, Galayko, Dimitri

“… This paper aims at performing image reconstruction using auto-encoders, employs cascade decoders-based auto-encoders, perfects the performance of image reconstruction, approaches gradually lossless …”
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Deep Artificial Denoising Auto-Encoder-Decoder Pain Recognition System von Fordson, H. Perry, Anderson, Adam, Derosa, Eve

“… In this paper, we propose a deep neural network that incorporates an artificial denoising auto-encoder-decoder system to automatically generate and select applicable signifiers directly from ECG data …”
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Microwave-based Breast Cancer Detection by using Auto Encoder-Decoder Probabilistic Neural Network von Taghipour-Gorjikolaie, Mehran, Ghavami, Navid, Tiberi, Gianluigi, Badia, Mario, Papini, Lorenzo, Fracassini, Arianna, Bigotti, Alessandra, Palomba, Gianmarco, Ghavami, Mohammad

“… We employed an Auto Encoder-Decoder for feature extraction, followed by the utilization of a Probabilistic Neural Network for the detection of malignant lesions …”
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Lite-Deep : Improved Auto Encoder-Decoder for Polyp Segmentation von S., Geetha, C., Gopakumar, Haseem C., Shahid, Sreenivas, Arun, John, Aleena Maria, A. S., Arathy

“… Colorectal cancer(CRC) or colon cancer, is fatal cancer seen in males and females. Colorectal polyps usually develop on the mucosal layer of the colon or …”
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Surgical tool segmentation using a hybrid deep CNN-RNN auto encoder-decoder von Attia, Mohamed, Hossny, Mohammed, Nahavandi, Saeid, Asadi, Hamed

“… Surgical tool segmentation is used for detection, tracking and pose estimation of the tools in the vicinity of surgical scenes. It is considered as an …”
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Efficient Wheat Disease Identification Using Hybrid Swin-SHARP Vision Model von Khalid, Waqar, Alkhrijah, Yazeed, Muhammad Usman, Syed, Khalid, Shehzad

“… Accurate identification of wheat diseases is an essential component for increasing crop yields and guaranteeing global food security. However, subjective …”
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Regional‐based multi‐module spatial–temporal networks predicting city‐wide taxi pickup/dropoff demand from origin to destination von Abideen, Zain Ul, Sun, Heli, Yang, Zhou, Fahim, Hamza

“… –temporal dependencies and learn the OD taxi demand pattern. To handle remote areas, we created an attention‐based auto encoder …”
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Infrared image colorization using an edge aware auto encoder decoder with the multi-resolution fusion von Dong, Ziyue, Qu, Weidong

“… In the first part, the RGB output is generated by the edge aware auto encoder decoder, which includes symmetrical jump connections for precise positioning and assistant training networks …”
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DRSNFuse: Deep Residual Shrinkage Network for Infrared and Visible Image Fusion von Wang, Hongfeng, Wang, Jianzhong, Xu, Haonan, Sun, Yong, Yu, Zibo

“… Infrared images are robust against illumination variation and disguises, containing the sharp edge contours of objects. Visible images are enriched with …”
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