Results 71 to 80 of about 323,557 (229)

A critical review of RNN and LSTM variants in hydrological time series predictions

MethodsX
The rapid advancement in Artificial Intelligence (AI) and big data has developed significance in the water sector, particularly in hydrological time-series predictions.
Muhammad Waqas, U. Humphries
semanticscholar   +1 more source

A combined deep CNN-LSTM network for the detection of novel coronavirus (COVID-19) using X-ray images

medRxiv, 2020
Nowadays automatic disease detection has become a crucial issue in medical science with the rapid growth of population. Coronavirus (COVID-19) has become one of the most severe and acute diseases in very recent times that has been spread globally ...
Md. Zabirul Islam, Md. Milon Islam, A. Asraf   +2 more
semanticscholar   +1 more source

DIANet: Dense-and-Implicit Attention Network

, 2019
Attention networks have successfully boosted the performance in various vision problems. Previous works lay emphasis on designing a new attention module and individually plug them into the networks.
Huang, Zhongzhan, Liang, Mingfu, Liang, Senwei, Yang, Haizhao   +3 more
core   +1 more source

Mogrifier LSTM

, 2019
Many advances in Natural Language Processing have been based upon more expressive models for how inputs interact with the context in which they occur. Recurrent networks, which have enjoyed a modicum of success, still lack the generalization and systematicity ultimately required for modelling language.
Melis, G��bor, Ko��isk��, Tom����, Blunsom, Phil   +2 more
openaire   +2 more sources

Comparative study of long short-term memory (LSTM), bidirectional LSTM, and traditional machine learning approaches for energy consumption prediction

Energy Exploration & Exploitation
Responsible, efficient, and environmentally conscious energy consumption practices are increasingly essential for ensuring the reliability of the modern electricity grid.
Hamed Alizadegan, Behzad Rashidi Malki, Arian Radmehr, Hossein Karimi, Mohsen Asghari Ilani   +4 more
semanticscholar   +1 more source

Rainfall–runoff modelling using Long Short-Term Memory (LSTM) networks

Hydrology and Earth System Sciences, 2018
. Rainfall–runoff modelling is one of the key challenges in the field of hydrology. Various approaches exist, ranging from physically based over conceptual to fully data-driven models.
Frederik Kratzert, D. Klotz, Claire Brenner, K. Schulz, M. Herrnegger   +4 more
semanticscholar   +1 more source

Semantic Object Parsing with Graph LSTM

, 2016
By taking the semantic object parsing task as an exemplar application scenario, we propose the Graph Long Short-Term Memory (Graph LSTM) network, which is the generalization of LSTM from sequential data or multi-dimensional data to general graph ...
A Graves, E Simo-Serra, F Xia, S Hochreiter, X Liang, Y Wang   +5 more
core   +1 more source

Investigation of the physical driving mechanisms of wind noise in hearing devices by computational fluid dynamics

Scientific Reports
Wind noise impairs the functionality of hearing aids and hearables outdoors or during sports by interfering with communication signals. This study aims to visualize the wind noise generation patterns around the human head by validated scale-resolved flow
Jörg Riedel, Stefan Becker, Christoph Näger, Felix Czwielong, Stefan Schoder   +4 more
doaj   +1 more source

Enhanced LSTM for Natural Language Inference [PDF]

Annual Meeting of the Association for Computational Linguistics, 2016
Reasoning and inference are central to human and artificial intelligence. Modeling inference in human language is very challenging. With the availability of large annotated data (Bowman et al., 2015), it has recently become feasible to train neural ...
Qian Chen, Xiao-Dan Zhu, Zhenhua Ling, Si Wei, Hui Jiang, Diana Inkpen   +5 more
semanticscholar   +1 more source

Prediksi Nilai Cryptocurrency Dengan Metode Bi-LSTM dan LSTM

Majalah Ilmiah Teknologi Elektro, 2023
Semakin pesatnya perkembangan teknologi saat ini, dapat memudahkan seluruh kegiatan manusia, sehingga mengakibatkan seluruh aspek tidak bisa lepas dari teknologi tanpa terkecuali bidang keuangan. Dengan berkembangnya teknologi diiringi juga dengan dikenalnya berbagai instrument investasi.
Nyoman Gunantara, Made Sudarma, Ni Ketut Novia Nilasari   +2 more
openaire   +1 more source