Search Results - "Convolutional Encoders and Decoder"

IoT-Enabled Alzheimer Disease Detection: A Convolutional Encoder-Decoder Approach Enhanced by Alpine Skiing Optimization by Evangelin Sonia, S.V., Mustare, Narendra B, Sailaja, V., Sunitha, Pamarthi

“…Alzheimer's disease (AD) represents a significant challenge in the treatment of dementia among older adults, with early diagnosis being crucial for improving…”
Get full text

A Graph Convolutional Encoder and Decoder Model for Rumor Detection by Lin, Hongbin, Zhang, Xi, Fu, Xianghua

“…With the development of technology and the expansion of social media, rumors spread widely and the rumor detection has gradually caused widespread concern. The…”
Get full text

Architectures for ASIC implementations of low-density parity-check convolutional encoders and decoders by Swamy, R., Bates, S., Brandon, T.

“…Low-density parity-check convolutional codes (LDPC-CCs) are an attractive alternative to their block-oriented counterparts, LDPC-BCs. In this paper, we…”
Get full text

Test module of a software system for simulation study of convolutional encoders and decoders using MATLAB by Borodzhieva, A. N.

“…The test module is a part of an educational-assessment system for simulation study of convolutional encoders and decoders in terms of noise which includes also the modules "Divide and search…”
Get full text

On low power shift register hardware realizations for convolutional encoders and decoders by Dubois, M., Savaria, Y., Haccoun, D.

“…Novel methods to implement low power hardware architectures comprising several different kinds of shift registers in FPGAs are presented. These methods lead to…”
Get full text

WIPO PUBLISHES PATENT OF SAMSUNG ELECTRONICS FOR "METHOD AND APPARATUS OF QC-LDPC CONVOLUTIONAL CODING AND LOW-POWER HIGH THROUGHPUT QC-LDPC CONVOLUTIONAL ENCODER AND DECODER" (AMERICAN INVENTOR)

Get full text

Fast and Flexible Multi-Step Cloth Manipulation Planning Using an Encode-Manipulate-Decode Network (EMD Net) by Arnold, Solvi, Yamazaki, Kimitoshi

“… We demonstrate its effectiveness on simulated cloth. The net consists of 3D convolutional encoder and decoder modules that map cloth states to and from latent space…”
Get full text

Unsupervised Spatial-Spectral CNN-Based Feature Learning for Hyperspectral Image Classification by Zhang, Shuyu, Xu, Meng, Zhou, Jun, Jia, Sen

“…The rapid development of remote sensing sensors makes the acquisition, analysis, and application of hyperspectral images (HSIs) more and more extensive…”
Get full text

DAM: Hierarchical Adaptive Feature Selection Using Convolution Encoder Decoder Network for Strawberry Segmentation by Ilyas, Talha, Umraiz, Muhammad, Khan, Abbas, Kim, Hyongsuk

“…). The proposed building block namely a dense attention module (DAM) controls the flow of information between the convolutional encoder and decoder…”
Get full text

A Waveform Mapping-Based Approach for Enhancement of Trunk Borers’ Vibration Signals Using Deep Learning Model by Shi, Haopeng, Chen, Zhibo, Zhang, Haiyan, Li, Juhu, Liu, Xuanxin, Ren, Lili, Luo, Youqing

“…The larvae of some trunk-boring beetles barely leave traces on the outside of trunks when feeding within, rendering the detection of them rather difficult. One…”
Get full text

Fully Convolutional Recurrent Networks for Speech Enhancement by Strake, Maximilian, Defraene, Bruno, Fluyt, Kristoff, Tirry, Wouter, Fingscheidt, Tim

“…) layers in between convolutional encoder and decoder. However, in such a CRN, the organization of internal representations in feature maps and the focus on local…”
Get full text

DPSNN: spiking neural network for low-latency streaming speech enhancement by Sun, Tao, Bohté, Sander

“…Speech enhancement improves communication in noisy environments, affecting areas such as automatic speech recognition (ASR), hearing aids, and…”
Get full text

Segmentation of shoulder muscle MRI using a new Region and Edge based Deep Auto-Encoder by Khan, Saddam Hussain, Khan, Asifullah, Lee, Yeon Soo, Hassan, Mehdi, Jeong, Woong Kyo

“… The proposed RE-DAE harmoniously employs average and max-pooling operations in the Convolutional encoder and decoder blocks…”
Get full text

Efficient Deep Acoustic Echo Suppression with Condition-Aware Training by Seidel, Ernst, Mowlaee, Pejman, Fingscheidt, Tim

“… Convolutional recurrent networks (CRNs), consisting of a convolutional encoder and decoder encompassing a recurrent bottleneck, are repeatedly employed due to their ability to preserve nearend speech even in double-talk (DT) condition…”
Get full text

Residual Unet with Attention Mechanism for Time-Frequency Domain Speech Enhancement by Chen, Hanyu, Peng, Xiwei, Jiang, Qiqi, Guo, Yujie

“… In particular, the structure based on the convolutional encoder and decoder has been proven to achieve good enhancement effects…”
Get full text

Automatic text inpainting and quality elevation in video sequences by Palivela, Lakshmi Harika, Dharmalingam, Vivekanandan, Gayathri, D. Bala

“…Scene text removal is a recent development in computer vision that replaces text patches in natural images with the appropriate background. Text removal is a…”
Get full text

Bottleneck Sharing Generative Adversarial Networks for Unified Multi-Contrast MR Image Synthesis by Dalmaz, Onat, Saglam, Baturay, Gonc, Kaan, Dar, Salman Uh, Cukur, Tolga

“…Magnetic Resonance Imaging (MRI) is the favored modality in multi-modal medical imaging due to its safety and ability to acquire various different contrasts of…”
Get full text

Efficient Acoustic Echo Suppression with Condition-Aware Training by Seidel, Ernst, Mowlaee, Pejman, Fingscheidt, Tim

“… Convolutional recurrent networks (CRNs), consisting of a convolutional encoder and decoder encompassing a recurrent bottleneck, are repeatedly employed due to their ability to preserve nearend speech even in double-talk (DT) condition…”
Get full text

Variational Autoencoders Without the Variation by Daly, Gregory A, Fieldsend, Jonathan E, Tabor, Gavin

“…Variational autoencdoers (VAE) are a popular approach to generative modelling. However, exploiting the capabilities of VAEs in practice can be difficult…”
Get full text

Impact of interleaver and trace back length on performance of CODEC for burst errors by Viraktamath, S. V., Sakaray, Divya, Attimarad, Girish V.

“… In this paper we present our studies of impact of interleaver on performance of Convolutional Encoder and Decoder (CODEC…”
Get full text