Results 1 to 10 of about 90,690 (297)
Field Data Forecasting Using LSTM and Bi-LSTM Approaches [PDF]
Applied Sciences, 2021 Water, an essential resource for crop production, is becoming increasingly scarce, while cropland continues to expand due to the world’s population growth. Proper irrigation scheduling has been shown to help farmers improve crop yield and quality, resulting in more sustainable water consumption.
Suebsombut, Paweena +4 more
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INTERNATIONAL CONFERENCE ON MACHINE LEARNING, 2021 13 pages (8.5 without references) + 17 pages ...
Hoedt, Pieter-Jan +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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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
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
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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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Next-LSTM: a novel LSTM-based image captioning technique
International Journal of System Assurance Engineering and Management, 2023 Abstract Recently, Image Captioning has evolved into an immensely popular area in the field of Computer Vision. It strives to generate natural language sentences in order to describe the salient parts of a given image. Research in this area is active and various Machine learning-based Image Captioning models have been proposed in the literature.
Priya Singh, Chandan Kumar, Ayush Kumar
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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
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Simulation of a Hydrogen-Air Diffusion Flame under Consideration of Component-Specific Diffusivities
Applied Sciences, 2022 This work deals with the numerical investigation of a three-dimensional, laminar hydrogen-air diffusion flame in which a cylindrical fuel jet is surrounded by in-flowing air.
Jana Barabás +2 more
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Evolutionary Applications, 2020 Persistent insecticides sprayed onto house walls, and incorporated into insecticide‐treated bednets, provide long‐acting, cost‐effective control of vector‐borne diseases such as malaria and leishmaniasis.
Andy South +5 more
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