Results 111 to 120 of about 143,911 (316)
EA-LSTM: Evolutionary attention-based LSTM for time series prediction [PDF]
Time series prediction with deep learning methods, especially long short-term memory neural networks (LSTMs), have scored significant achievements in recent years. Despite the fact that the LSTMs can help to capture long-term dependencies, its ability to pay different degree of attention on sub-window feature within multiple time-steps is insufficient.
Youru Li +4 more
openaire +3 more sources
Flexible Sensors for Robotics Tactile Perception: A Review
Flexible tactile sensing for robotics is reviewed through four interconnected dimensions. Physical mechanisms include piezoresistive, capacitive, piezoelectric, triboelectric, iontronic, and optical sensing. Structural design includes bioinspired, defect‐based, and MEMS‐based tactile systems.
Yu Song, Ying Chen, Yihao Chen, Xue Feng
wiley +1 more source
Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source
The confusion matrix of PCA-LSTM-2×200 model with MFCC datasets.
The confusion matrix of PCA-LSTM-2×200 model with MFCC datasets.
Kuo-Wei Chao (11874072) +5 more
core +1 more source
LSTM-Based Whisper Detection [PDF]
This article presents a whisper speech detector in the far-field domain. The proposed system consists of a long-short term memory (LSTM) neural network trained on log-filterbank energy (LFBE) acoustic features. This model is trained and evaluated on recordings of human interactions with voice-controlled, far-field devices in whisper and normal ...
Raeesy, Zeynab +8 more
openaire +2 more sources
Performance–Complexity Trade‐Offs in Battery Lifetime Prediction with Task‐Aware Transformers
FAST‐BatPro integrates convolutional feature extraction, flash Attention, and sparse attention for efficient battery lifetime prediction. Using limited early‐cycle data across multiple chemistries and operating conditions, it achieves robust accuracy while reducing inference latency, computational cost, and energy consumption.
Jingyuan Zhao +9 more
wiley +1 more source
GAN-LSTM-3D: An efficient method for lung tumour 3D reconstruction enhanced by attention-based LSTM
GAN-LSTM-3D: An efficient method for lung tumour 3D reconstruction enhanced by attention-based ...
SV Moravvej (15827681) +12 more
core
The confusion matrix of PCA-LSTM-2×200 model with LPC datasets.
The confusion matrix of PCA-LSTM-2×200 model with LPC datasets.
Kuo-Wei Chao (11874072) +5 more
core +1 more source
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin +12 more
wiley +1 more source
Trajectory Prediction by Coupling Scene-LSTM with Human Movement LSTM [PDF]
To appear in ISVC ...
Manh Huynh, Gita Alaghband
openaire +3 more sources

