Results 31 to 40 of about 80,914 (224)
IEEE/ASME transactions on mechatronics, 2022 Failures in the main bearings of wind turbines are critical in terms of downtime and replacement cost. Early diagnosis of their faults would lower the levelized cost of wind energy.
Á. Encalada-Dávila +4 more
semanticscholar +1 more source
Audio Captioning using Gated Recurrent Units
CoRR, 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
Aysegül Özkaya Eren, Mustafa Sert
openaire +2 more sources
Complex & Intelligent Systems, 2023 This research proposes a hybrid improved marine predator algorithm (IMPA) and deep gated recurrent unit (DGRU) model for profit prediction in financial accounting information systems (FAIS).
Xue Li, M. Khishe, Leren Qian
semanticscholar +1 more source
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
Dynamic slate recommendation with gated recurrent units and Thompson sampling [PDF]
Data Mining and Knowledge Discovery, 2021 AbstractWe consider the problem of recommending relevant content to users of an internet platform in the form of lists of items, called slates. We introduce a variational Bayesian Recurrent Neural Net recommender system that acts on time series of interactions between the internet platform and the user, and which scales to real world industrial ...
Simen Eide +2 more
openaire +5 more sources
IEEE Access, 2023 The increasing prevalence of the Industrial Internet of Things (IIoT) in industrial environments amplifies the potential for security breaches and compromises.
Safi Ullah +3 more
semanticscholar +1 more source
IEEE Access, 2023 News sentiment can influence stock prices indirectly, in addition to the technical indicators already used to analyze stock prices. The information quantification of news sentiment by considering time sequence data in the stock analysis has been the ...
A. Haryono, R. Sarno, K. Sungkono
semanticscholar +1 more source
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
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