Remaining useful life prediction for proton exchange membrane fuel cells using combined convolutional neural network and recurrent neural network [PDF]
, 2023 The search for sustainable but environmentally friendly medium of harnessing energy for the automotive industry has led to the evolution of various energy generating and converting devices. One of such energy converting device is fuel cells.
Alaswad, Abed +5 more
core +1 more source
Klasifikasi Teks Hadis Bukhari Terjemahan Indonesia Menggunakan Recurrent Convolutional Neural Network (CRNN) [PDF]
, 2021 Hadis merupakan sumber hukum dan pedoman kedua bagi umat Islam setelah Al-Qur’an dan banyak sekali hadis yang telah diriwayatkan oleh para ahli hadis selama ini.
Abu Bakar, Muhammad Yuslan +3 more
core +1 more source
Cursive Text Recognition in Natural Scene Images using Deep Convolutional Recurrent Neural Network
IEEE Access, 2022 Text recognition in natural scene images is a challenging problem in computer vision. Different than the optical character recognition (OCR), text recognition in natural scene images is more complex due to variations in text size, colors, fonts ...
A. Chandio +3 more
semanticscholar +1 more source
Convolutional Recurrent Neural Networks for Glucose Prediction [PDF]
IEEE Journal of Biomedical and Health Informatics, 2020 Control of blood glucose is essential for diabetes management. Current digital therapeutic approaches for subjects with Type 1 diabetes mellitus (T1DM) such as the artificial pancreas and insulin bolus calculators leverage machine learning techniques for predicting subcutaneous glucose for improved control.
Kezhi Li +4 more
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Three-class Overlapped Speech Detection using a Convolutional Recurrent Neural Network [PDF]
Interspeech, 2021 In this work, we propose an overlapped speech detection system trained as a three-class classifier. Unlike conventional systems that perform binary classification as to whether or not a frame contains overlapped speech, the proposed approach classifies ...
Jee-weon Jung +4 more
semanticscholar +1 more source
ECG Classification With a Convolutional Recurrent Neural Network
Computing in Cardiology Conference (CinC), 2020 4 pages, 3 figures, presented at Computing in Cardiology 2020, under review for conference ...
Halla Sigurthorsdottir +3 more
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Deep Learning Forecasts of Soil Moisture: Convolutional Neural Network and Gated Recurrent Unit Models Coupled with Satellite-Derived MODIS, Observations and Synoptic-Scale Climate Index Data [PDF]
, 2021 Remotely sensed soil moisture forecasting through satellite-based sensors to estimate the future state of the underlying soils plays a critical role in planning and managing water resources and sustainable agricultural practices.
Deo, Ravinesh C. +13 more
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A Multilevel Convolutional Recurrent Neural Network for Blade Icing Detection of Wind Turbine
IEEE Sensors Journal, 2021 Blade icing detection becomes increasingly significant as it can avoid revenue loss and power degradation. Conventional methods are usually limited by additional costs, and model-driven methods heavily depend on prior domain knowledge.
Weiwei Tian +5 more
semanticscholar +1 more source
Inplace Gated Convolutional Recurrent Neural Network for Dual-Channel Speech Enhancement [PDF]
Interspeech, 2021 For dual-channel speech enhancement, it is a promising idea to design an end-to-end model based on the traditional array signal processing guideline and the manifold space of multi-channel signals.
Jinjiang Liu, Xueliang Zhang
semanticscholar +1 more source
A combined convolutional and recurrent neural network for enhanced glaucoma detection
Scientific Reports, 2021 Glaucoma, a leading cause of blindness, is a multifaceted disease with several patho-physiological features manifesting in single fundus images (e.g., optic nerve cupping) as well as fundus videos (e.g., vascular pulsatility index). Current convolutional
S. Gheisari +6 more
semanticscholar +1 more source