[HTML][HTML] Recurrent neural networks: A comprehensive review of architectures, variants, and applications
Recurrent neural networks (RNNs) have significantly advanced the field of machine learning
(ML) by enabling the effective processing of sequential data. This paper provides a …
(ML) by enabling the effective processing of sequential data. This paper provides a …
[HTML][HTML] Applications of Long Short-Term Memory (LSTM) Networks in Polymeric Sciences: A Review
I Malashin, V Tynchenko, A Gantimurov, V Nelyub… - …, 2024 - pmc.ncbi.nlm.nih.gov
This 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. LSTM …
specialized type of recurrent neural network (RNN), in the field of polymeric sciences. LSTM …
Self-beneficial transactional social dynamics for cooperation in Shwachman-Diamond syndrome: a mixed-subject analysis using computational pragmatics
A Trognon, N Stortini, C Duman, N Koïdé… - Frontiers in …, 2025 - frontiersin.org
Background Shwachman-Diamond Syndrome (SDS) is a rare genetic disorder with
documented cognitive and behavioral challenges. However, its socio-pragmatic dynamics …
documented cognitive and behavioral challenges. However, its socio-pragmatic dynamics …
Empirical mode decomposition feature based Bi-LSTM and GRU neural network predictions of thermospheric density during rising and minimum solar activity from …
Low Earth orbit satellites are potentially impacted by atmospheric drag due to short-term
enhancements in thermospheric density induced by solar irradiance and solar wind …
enhancements in thermospheric density induced by solar irradiance and solar wind …
Uncovering patterns of disadvantage in student socioeconomic data using k-means clustering and association rule mining
P Jarupunphol, C Sumranpit, M Thakong - Multidisciplinary Science …, 2025 - malque.pub
This study employs a combination of k-means clustering and association rule mining to
analyze socioeconomic data from 507 students at a community school in Udon Thani …
analyze socioeconomic data from 507 students at a community school in Udon Thani …
Dirbtinio intelekto apmokymas ir pritaikymas originalios muzikos kūrybai
G Pakėnaitė - 2025 - epubl.ktu.edu
Abstract [eng] Current artificial intelligence (AI) tools for music creation are pre-trained using
general datasets. As a result, AI models assimilate general principles of music creation …
general datasets. As a result, AI models assimilate general principles of music creation …
[PDF][PDF] Improvement of intelligent systems for creating personalized products
V Mytsa, M Riabchykov - 2023 - ceur-ws.org
The article proposes an information system to ensure the functioning of artificial intelligence
systems in the fashion industry. A model has been developed in the form of a graph …
systems in the fashion industry. A model has been developed in the form of a graph …
Long-Term Spatio-Temporal Graph Attention Network for Traffic Forecasting
B Remmouche, D Boukraa, A Zakharova… - Available at SSRN … - papers.ssrn.com
Accurate traffic flow prediction is a critical component of intelligent transportation systems
and smart cities, playing an essential role in traffic control, transportation planning, and …
and smart cities, playing an essential role in traffic control, transportation planning, and …