Results 81 to 90 of about 2,625,571 (293)

Simplified minimal gated unit variations for recurrent neural networks [PDF]

open access: yes2017 IEEE 60th International Midwest Symposium on Circuits and Systems (MWSCAS), 2017
5 pages, 3 Figures, 5 ...
Joel C. Heck, Fathi M. Salem
openaire   +2 more sources

Automated Image Captioning with Multi-layer Gated Recurrent Unit

open access: yes2022 30th European Signal Processing Conference (EUSIPCO), 2022
Describing the semantic content of an image via natural language, known as image captioning, has recently attracted substantial interest in computer vision and language processing communities. Current image captioning approaches are mainly based on an encoder-decoder framework in which visual information is extracted by an image encoder and captions ...
Moral, Ozge Taylan   +3 more
openaire   +3 more sources

Printed Integrated Logic Circuits Based on Chitosan‐Gated Organic Transistors for Future Edible Systems

open access: yesAdvanced Functional Materials, EarlyView.
Edible electronics needs integrated logic circuits for computation and control. This work presents a potentially edible printed chitosan‐gated transistor with a design optimized for integration in circuits. Its implementation in integrated logic gates and circuits operating at low voltage (0.7 V) is demonstrated, as well as the compatibility with an ...
Giulia Coco   +8 more
wiley   +1 more source

PENERAPAN ALGORITMA BIDIRECTIONAL GATED RECURRENT UNIT DAN STACKED GATED RECURRENT UNIT UNTUK PREDIKSI HARGA SAHAM [PDF]

open access: yes
Stocks are financial instruments that provide ownership rights and profits to their holders in public companies, which attract investors because of the potential for high returns despite the risks.
Nasya Amirah Melyani, -
core   +1 more source

Klasifikasi Teks Ulasandengan Metode Convolutional Neural Network dan Gated Recurrent Unit [PDF]

open access: yes, 2022
Ulasankonsumenmerupakanpendapatdaripembelikepadapenjualberdasarkankepuasanpelayananataukualitasbarang. Semakinbanyakulasankonsumenmenyebabkan proses menganalisasecara manual akanmenyulitkan.
Fiqih Fathor Rachim, -
core  

An Attention Encoder-Decoder Dual Graph Convolutional Network with Time Series Correlation for Multi-Step Traffic Flow Prediction

open access: yesJournal of Advanced Transportation, 2022
Accurate traffic prediction is a powerful factor of intelligent transportation systems to make assisted decisions. However, existing methods are deficient in modeling long series spatio-temporal characteristics. Due to the complex and nonlinear nature of
Shanchun Zhao, Xu Li
doaj   +1 more source

Wireless Channel Prediction of GRU Based on Experience Replay and Snake Optimizer

open access: yesSensors, 2023
Aiming at the problem of poor prediction accuracy of Channel State Information (CSI) caused by fast time-varying channels in wireless communication systems, this paper proposes a gated recurrent network based on experience replay and Snake Optimizer for ...
Qingli Liu   +4 more
doaj   +1 more source

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

open access: yes, 2022
Major emphasis presently being made is on using and optimizing more sustainable and renewable energy resources to tackle the upcoming energy demand challenges and probable scarcity induced by several socioeconomic variables. In this research a new hybrid
Mehdi Jamei   +11 more
core   +1 more source

Integration of Low‐Voltage Nanoscale MoS2 Memristors on CMOS Microchips

open access: yesAdvanced Functional Materials, EarlyView.
This article presents the first monolithic integration of nanoscale MoS2‐based memristors into the back‐end‐of‐line of foundry‐fabricated CMOS microchips in a one‐transistor‐one‐resistor (1T1R) architecture. The MoS2‐based 1T1R cells exhibit forming‐free, nonvolatile resistive switching with ultra‐low operating voltages, low cycle‐to‐cycle variability ...
Jimin Lee   +16 more
wiley   +1 more source

A conditional random field based feature learning framework for battery capacity prediction

open access: yesScientific Reports, 2022
This paper proposes a network model framework based on long and short-term memory (LSTM) and conditional random field (CRF) to promote Li-ion battery capacity prediction results.
Hai-Kun Wang, Yang Zhang, Mohong Huang
doaj   +1 more source

Home - About - Disclaimer - Privacy