https://pubmed.ncbi.nlm.nih.gov/30453674/
The use of IoT (Internet of Things) technology for the management of pet dogs left alone at home is increasing. This includes tasks such as automatic feeding,...
pet dogresourceefficientsoundevents
https://www.mdpi.com/1424-8220/21/22/7508
Weakly supervised video anomaly detection is a recent focus of computer vision research thanks to the availability of large-scale weakly supervised video...
anomaly detectionsupervisedvideobasedconvolution
https://www.mdpi.com/1996-1073/18/2/231
The proportion of new energy sources, such as wind, photovoltaic and hydropower, in the power grid is increasing year by year. In addition, a large number of...
power qualitydwtlstmnetworkdisturbance
https://aclanthology.org/2022.dravidianlangtech-1.10/
Fazlourrahman Balouchzahi, Anusha Gowda, Hosahalli Shashirekha, Grigori Sidorov. Proceedings of the Second Workshop on Speech and Language Technologies for...
in tamilabusivecommentdetectionlanguage
https://www.freelancer.com/projects/python/need-help-from-cnn-lstm
Python & Image Processing Projects for $2-8 USD / hour. I am trying to build a neural network with CNN, LSTM, and attention mechanism but am having some...
i need helpcnnlstmexpertfreelancer
https://www.airbus.com/en/newsroom/stories/2022-11-the-copernicus-lstm-expansion-mission-moves-a-step-closer-to-helping
The Land Surface Temperature Monitoring (LSTM) programme is on track focusing on farming and food security, irrigation and water scarcity, and urban heat...
a stepcopernicuslstmexpansionmission
https://deepai.org/publication/clvsa-a-convolutional-lstm-based-variational-sequence-to-sequence-model-with-attention-for-predicting-trends-of-financial-markets
04/08/21 - Financial markets are a complex dynamical system. The complexity comes from the interaction between a market and its participants,...
lstmbasedvariationalsequencemodel
https://www.springerprofessional.de/en/assessing-the-simulation-of-streamflow-with-the-lstm-model-acros/25910706
This study aims to assess the spatiotemporal performance of Machine Learning-based techniques for simulating streamflow on a continental scale using
the simulationstreamflowlstmmodelacross
https://www.lstmed.ac.uk/
Liverpool School of Tropical Medicine, founded in 1898, is the first institution in the world dedicated to research and teaching in tropical medicine.
school oftropical medicinelstmliverpool
https://www.frontiersin.org/journals/earth-science/articles/10.3389/feart.2023.1153619/full
Well log prediction while drilling estimates the rock properties ahead of drilling bits. A reliable well log prediction assists reservoir engineers in updati...
well logfrontierspredictiondrillingusing
https://aclanthology.org/2023.semeval-1.288/
Afrin Sultana, Radiathun Tasnia, Nabila Ayman, Abu Nowshed Chy. Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023). 2023.
dsgsemevaltaskexploitingtransformers
https://www.mdpi.com/1424-8220/21/3/823
The design and application of Soft Sensors (SSs) in the process industry is a growing research field, which needs to mediate problems of model accuracy with...
rnnlstmbasedsoftsensors
https://www.mathworks.com/help/deeplearning/ug/experiment-with-training-configurations-for-sequence-regression.html
Find optimal data architecture and network configurations for sequence-to-sequence regression using Bayesian optimization.
bayesian optimizationchoosetrainingconfigurationslstm
https://www.usgs.gov/publications/evaluation-streamflow-predictions-lstm-models-water-and-energy-limited-regions-united
The application of Long Short-Term Memory (LSTM) models for streamflow predictions has been an area of rapid development, supported by advancements in...
in waterevaluationstreamflowpredictionslstm