Results 111 to 120 of about 53,216 (300)
, 2017 In a), number of clusters found within an optimal sequence with respect to their length. This histogram shows that for any optimal sequences, repetitive clusters are found, which are more often present when they are small than big; this shows some ...
Alexandre Pitti (438059) +2 more
core +1 more source
Advanced Intelligent Discovery, EarlyView.We present CatTransVAE, a catalyst‐specialized chemical language model (CLM) built on a transformer variational autoencoder (VAE), developed through pretraining on general compounds followed by fine‐tuning on diverse catalyst databases. A template‐guided generation framework is introduced to enable controlled catalyst design under structural ...
Apakorn Kengkanna, Masahito Ohue
wiley +1 more source
Revue des Sciences de la SantéL'énergie nucléaire est une source de production d'énergie à haut rendement, mais sa gestion présente des défis techniques et sécuritaires majeurs. Le Centre de Recherche en Énergie Nucléaire de l'Université de Kinshasa (C.RE.N.K - UNIKIN) se trouve à la
Vincent KASUENDE NTAMBWE NGANDU +2 more
doaj +1 more source
Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation
Advanced Intelligent Systems, EarlyView.Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison +4 more
wiley +1 more source
An RNN-based decoding scheme for IM/DD visible light communication systems
Tạp chí Khoa học và Công nghệIn Visible Light Communication (VLC) systems, the integration of Forward Error Correction (FEC) and Run-Length Limited (RLL) coding is essential for ensuring transmission reliability and flicker-free operation.
Dung Le Dinh +2 more
doaj +1 more source
Structured RNN for human interaction
IET Computer Vision, 2018 Understanding human activities has been an important research area in computer vision. Generally, the authors can model the human interactions as a temporal sequence with the transition in relationships of humans and objects. Besides, many studies have proved the effectiveness of long short‐term memory (LSTM) on long‐term temporal dependency problems ...
Anh Minh Truong, Atsuo Yoshitaka
openaire +3 more sources
Interpretable Short‐Term Electric Load Forecasting
Advanced Intelligent Systems, EarlyView.A temporal fusion transformer is implemented to generate day‐ahead forecasts of the hourly electrical load of a departmentbuilding at an Italian university. A forecasting performance improvement of more than 25% compared with established benchmark models and a provision of inherent robust interpretability insights reveal the potential of this model for
Alessandro Nicola +6 more
wiley +1 more source
A Customer Lifetime Value-aware Framework for Strategic Churn Prediction Using Deep Learning
Advanced Engineering ResearchIntroduction. Customer churn prediction represents a challenge in the current era of rapid digital transformation, hyper-competition, and data-driven marketing.
Gurusamy Uma Maheswari +3 more
doaj +1 more source
rnn : Recurrent Library for Torch
CoRR, 2015 The rnn package provides components for implementing a wide range of Recurrent Neural Networks. It is built withing the framework of the Torch distribution for use with the nn package. The components have evolved from 3 iterations, each adding to the flexibility and capability of the package.
Nicholas Léonard +3 more
openaire +3 more sources
Summary schematic for theoretical-RNN.
(A) Illustration of the predictability-interpretability trade-off plane. Theoretical models (green) are thought to be highly interpretable (x-axis), yet their predictive capability (y-axis) is often limited compared to data-driven RNN (d-RNN; orange). We
Eliya Nachmani (17735928) +3 more
core +1 more source