Results 21 to 30 of about 79,032 (283)
Gated Recurrent Unit for Video Denoising
, 2022 5 pages, 5 ...
Guo, Kai +2 more
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Attention-Based Pose Sequence Machine for 3D Hand Pose Estimation
IEEE Access, 2020 Most of the existing methods for 3D hand pose estimation are performed from a single depth map. In that case, the depth missing challenges from input frames caused by hand self-occlusions and imaging quality lead to multi-valued mapping phenomenon and ...
Fangtai Guo +4 more
doaj +1 more source
Background-oriented Schlieren tomography using gated recurrent unit
Optics Express, 2023 Current Background-oriented schlieren tomography (BOST) methods rely primarily on iterative algorithms for reconstruction. Before reconstruction, a weight projection matrix was generated by performing 3D ray tracing using the projection relationship between the cameras, depending on the camera calibration parameters and large weight projection matrix ...
Lin Bo +5 more
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Recurrent Neural Network-Gated Recurrent Unit for Indonesia-Sentani Papua Machine Translation
Journal of Information Systems and Informatics, 2023 The Papuan Sentani language is spoken in the city of Jayapura, Papua. The law states the need to preserve regional languages. One of them is by building an Indonesian-Sentani Papua translation machine.
Rizkial Achmad +3 more
doaj +1 more source
Gated Orthogonal Recurrent Units: On Learning to Forget [PDF]
Neural Computation, 2019 We present a novel recurrent neural network (RNN)–based model that combines the remembering ability of unitary evolution RNNs with the ability of gated RNNs to effectively forget redundant or irrelevant information in its memory. We achieve this by extending restricted orthogonal evolution RNNs with a gating mechanism similar to gated recurrent unit ...
Jing, Li +6 more
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DS-GAU: Dual-sequences gated attention unit architecture for text-independent speaker verification
Machine Learning with Applications, 2023 Text-independent speaker verification provides people identified from their voice characteristics. In this paper, we propose a new method, Dual-Sequences Gate Attention Unit to improve the accuracy of a massive speaker verification system. Dual-Sequences
Tsung-Han Tsai, Tran Dang Khoa
doaj +1 more source
Identifying Essential Proteins by Hybrid Deep Learning Model [PDF]
Jisuanji kexue, 2021 Essential proteins are those proteins that are essential to the viability of the organism.The identification of essential proteins helps to understand the minimum requirements of cell life,discover disease-causing genes and drug targets,and is of great ...
LIU Wen-yang, GUO Yan-bu, LI Wei-hua
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Temperature Prediction for Reheating Furnace by Gated Recurrent Unit Approach
IEEE Access, 2022 Reheating furnaces are used to homogeneously reheat the steel stock (Billets, blooms or slabs) at a temperature between 1000°C and 1250°C before hot rolling.
Chien-Jung Chen +2 more
doaj +1 more source
Enhancing Operation of a Sewage Pumping Station for Inter Catchment Wastewater Transfer by Using Deep Learning and Hydraulic Model [PDF]
, 2018 This paper presents a novel Inter Catchment Wastewater Transfer (ICWT) method for mitigating sewer overflow. The ICWT aims at balancing the spatial mismatch of sewer flow and treatment capacity of Wastewater Treatment Plant (WWTP), through collaborative ...
Holland, Erlend Skullestad +3 more
core +2 more sources
Audio Captioning using Gated Recurrent Units
, 2020 Audio captioning is a recently proposed task for automatically generating a textual description of a given audio clip. In this study, a novel deep network architecture with audio embeddings is presented to predict audio captions. Within the aim of extracting audio features in addition to log Mel energies, VGGish audio embedding model is used to explore
Eren, Ayşegül Özkaya, Sert, Mustafa
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