Results 11 to 20 of about 143,911 (316)
CoRR, 2021 13 pages (8.5 without references) + 17 pages ...
Pieter-Jan Hoedt +7 more
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Deep Learning Based Models: Basic LSTM, Bi LSTM, Stacked LSTM, CNN LSTM and Conv LSTM to Forecast Agricultural Commodities Prices [PDF]
, 2021 Abstract The literature argues that an accurate price prediction of agricultural goods is a quintessence to assure a good functioning of the economy all over the world. Research reveals that studies with application of deep learning in the tasks of agricultural price forecast on short historical agricultural prices data are very scarce and ...
R. Murugesan +2 more
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Proceedings of the 11th International Conference on Natural Language Generation, 2018 Hypertagging, or supertagging for surface realization, is the process of assigning lexical categories to nodes in an input semantic graph. Previous work has shown that hypertagging significantly increases realization speed and quality by reducing the search space of the realizer.
Reid Fu, Michael White
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Malaria Journal, 2020 Background There is an urgent need for insecticides with novel modes of action against mosquito vectors. Broflanilide is a meta-diamide, discovered and named Tenebenal™ by Mitsui Chemicals Agro, Inc., which has been identified as a candidate insecticide ...
Rosemary Susan Lees +9 more
doaj +1 more source
Parasites & Vectors, 2021 Background Riverine species of tsetse (Glossina) transmit Trypanosoma brucei gambiense, which causes Gambian human African trypanosomiasis (gHAT), a neglected tropical disease.
Paul R. Bessell +10 more
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Improving the efficiency of aerosolized insecticide testing against mosquitoes
Scientific Reports, 2023 Developing robust and standardised approaches for testing mosquito populations against insecticides is vital for understanding the effectiveness of new active ingredients or formulations.
Walter Fabricio Silva Martins +7 more
doaj +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 ...
Jun Song 0004 +4 more
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Enhancement of Wheat Flour and Dough Properties by Non-Thermal Plasma Treatment of Wheat Flour
Applied Sciences, 2022 Demand to improve food quality attributes without the use of chemicals has risen exponentially in the past few years. Non-thermal plasma (NTP) (also called ‘cold plasma’) is becoming increasingly popular for this purpose due to its unique low-temperature
Muhammad Jehanzaib Khan +3 more
doaj +1 more source
sungwookwi/Central-Valley-LSTM: v1.0.0
, 2022 <p>LSTM streamflow predictions for the Central Valley of California.</p ...
sungwookwi
core +1 more source