Results 81 to 90 of about 323,557 (229)
Scientific ReportsEscalating insecticide resistance threatens the efficacy of LLINs, undermining malaria control in Africa. We conducted the first experimental hut trials in Uganda using highly resistant free-flying wild Anopheles mosquitoes and F2 hybrids of FANG and ...
Ambrose Oruni +8 more
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The Type III Effectome of the Symbiotic Bradyrhizobium vignae Strain ORS3257
Biomolecules, 2021 Many Bradyrhizobium strains are able to establish a Nod factor-independent symbiosis with the leguminous plant Aeschynomene indica by the use of a type III secretion system (T3SS).
Nicolas Busset +8 more
doaj +1 more source
Advanced LSTM: A Study about Better Time Dependency Modeling in Emotion Recognition
, 2017 Long short-term memory (LSTM) is normally used in recurrent neural network (RNN) as basic recurrent unit. However,conventional LSTM assumes that the state at current time step depends on previous time step. This assumption constraints the time dependency
Liu, Gang, Tao, Fei
core +1 more source
Jasmonates—the Master Regulator of Rice Development, Adaptation and Defense
Plants, 2019 Rice is one of the most important food crops worldwide, as well as the model plant in molecular studies on the cereals group. Many different biotic and abiotic agents often limit rice production and threaten food security.
Hieu Trang Nguyen +4 more
doaj +1 more source
Applications of Long Short-Term Memory (LSTM) Networks in Polymeric Sciences: A Review
PolymersThis review explores the application of Long Short-Term Memory (LSTM) networks, a specialized type of recurrent neural network (RNN), in the field of polymeric sciences.
I. Malashin +4 more
semanticscholar +1 more source
Multivariate LSTM-FCNs for Time Series Classification [PDF]
Neural Networks, 2018 Over the past decade, multivariate time series classification has received great attention. We propose transforming the existing univariate time series classification models, the Long Short Term Memory Fully Convolutional Network (LSTM-FCN) and Attention
Fazle Karim +3 more
semanticscholar +1 more source
Real-Time 6DOF Pose Relocalization for Event Cameras with Stacked Spatial LSTM Networks
, 2018 We present a new method to relocalize the 6DOF pose of an event camera solely based on the event stream. Our method first creates the event image from a list of events that occurs in a very short time interval, then a Stacked Spatial LSTM Network (SP ...
Caldwell, Darwin G. +3 more
core +1 more source
LSTM-in-LSTM for generating long descriptions of images [PDF]
Computational Visual Media, 2016 In this paper, we propose an approach for generating rich fine-grained textual descriptions of images. In particular, we use an LSTM-in-LSTM (long short-term memory) architecture, which consists of an inner LSTM and an outer LSTM. The inner LSTM effectively encodes the long-range implicit contextual interaction between visual cues (i.e., the ...
Song, Jun +4 more
openaire +1 more source
Time series prediction model using LSTM-Transformer neural network for mine water inflow
Scientific ReportsMine flooding accidents have occurred frequently in recent years, and the predicting of mine water inflow is one of the most crucial flood warning indicators.
Junwei Shi +3 more
semanticscholar +1 more source
Deep Long Short-Term Memory Adaptive Beamforming Networks For Multichannel Robust Speech Recognition
, 2017 Far-field speech recognition in noisy and reverberant conditions remains a challenging problem despite recent deep learning breakthroughs. This problem is commonly addressed by acquiring a speech signal from multiple microphones and performing ...
Erdogan, Hakan +3 more
core +1 more source