Results 151 to 160 of about 11,885,428 (200)

Self-attention bidirectional long Short-Term memory assisted natural language processing on sarcasm detection and classification in social media platforms. [PDF]

Sci Rep
Majdoubi J, Alsudais TA, Almogren AS, Bedewi W, Eltahir MM, Alshahrani M, Ebad SA, Ghaleb M.   +7 more
europepmc   +1 more source

Long short-term memory-based forecasting of influenza epidemics using surveillance and meteorological data in Tokyo, Japan. [PDF]

Front Public Health
Koge D, Wagatsuma K.
europepmc   +1 more source

Generation of Novel Fuels Optimized for High-Knock Resistance with a Long Short-Term Memory Model. [PDF]

Energy Fuels
Anufriev S, Hellier P, Ladommatos N.
europepmc   +1 more source

Integrating a Convolutional Neural Network and MultiHead Attention with Long Short-Term Memory for Real-Time Control During Drying: A Case Study of Yuba (Tofu Skin). [PDF]

Foods
Guo J, Wu J, Zhang L, Peng Z, Wei L, Li W, Shen J, Liu Y.   +7 more
europepmc   +1 more source

Subclinical tremor differentiation using long short-term memory networks. [PDF]

Phys Eng Sci Med
Nanayakkara GRR, Chan PY.
europepmc   +1 more source

Fusion of transfer learning models for detection of alzheimer's disease using bidirectional long short-term memory with equilibrium optimization algorithm.

Sci Rep
Renugadevi K, Jayasankar T.
europepmc   +1 more source

Video Summarization With Long Short-Term Memory [PDF]

Lecture Notes in Computer Science, 2016
We propose a novel supervised learning technique for summarizing videos by automatically selecting keyframes or key subshots. Casting the problem as a structured prediction problem on sequential data, our main idea is to use Long Short-Term Memory (LSTM), a special type of recurrent neural networks to model the variable-range dependencies entailed in ...
Wei-Lun Chao, Fei Sha, Kristen Grauman
exaly   +5 more sources

Some of the next articles are maybe not open access.

Related searches:

A Modified Long Short-Term Memory Cell

International Journal of Neural Systems, 2023
Machine Learning (ML), among other things, facilitates Text Classification, the task of assigning classes to textual items. Classification performance in ML has been significantly improved due to recent developments, including the rise of Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTM), Gated Recurrent Units (GRUs), and Transformer ...
Giannis Haralabopoulos, Gerasimos Razis, Ioannis Anagnostopoulos   +2 more
openaire   +3 more sources