Results 61 to 70 of about 7,594,062 (311)

Spam Detection in Reviews Using LSTM-Based Multi-Entity Temporal Features

Intelligent Automation and Soft Computing, 2020
Current works on spam detection in product reviews tend to ignore the temporal relevance among reviews in the user or product entity, resulting in poor detection performance.
Lingyun Xiang, Guoqing Guo, Qian Li, Chengzhang Zhu, Jiuren Chen, Hao-Tian Ma   +5 more
semanticscholar   +1 more source

Dynamical Systems as Temporal Feature Spaces

CoRR, 2019
Parameterized state space models in the form of recurrent networks are often used in machine learning to learn from data streams exhibiting temporal dependencies. To break the black box nature of such models it is important to understand the dynamical features of the input driving time series that are formed in the state space.
openaire   +4 more sources

Microbiome‐blood–brain barrier interactions in aging — mechanisms and therapeutic potential

FEBS Letters, EarlyView.
Aging reshapes the gut microbiome (↓SCFA‐producing commensals; ↑pro‐inflammatory outputs), shifting circulating metabolites (↓SCFAs; ↑LPS, ↑TMAO, ↑PAA) that act at the BBB to increase nonspecific transcytosis, alter transport, and promote astrocyte reactivity, heightening brain vulnerability.
Daniel Cuervo‐Zanatta, Hari Baskar Balasubramanian, Amir Pasokh, Marietta Zille   +3 more
wiley   +1 more source

Object-Based Paddy Rice Mapping Using HJ-1A/B Data and Temporal Features Extracted from Time Series MODIS NDVI Data

Sensors, 2016
Accurate and timely mapping of paddy rice is vital for food security and environmental sustainability. This study evaluates the utility of temporal features extracted from coarse resolution data for object-based paddy rice classification of fine ...
Mrinal Singha, Bingfang Wu, Miao Zhang
doaj   +1 more source

A Hierarchical Spatial–Temporal Cross-Attention Scheme for Video Summarization Using Contrastive Learning

Sensors, 2022
Video summarization (VS) is a widely used technique for facilitating the effective reading, fast comprehension, and effective retrieval of video content.
Xiaoyu Teng, Xiaolin Gui, Pan Xu, Jianglei Tong, Jian An, Yang Liu, Huilan Jiang   +6 more
doaj   +1 more source

Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry

FEBS Letters, EarlyView.
EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri, Ayaka Nagasato‐Ichikawa, Keita Iida, Shuhei Kimura, Akira Imamoto, Mariko Okada   +5 more
wiley   +1 more source

STFF-CANet Diagnosis Model of Aero-Engine Surge Based on Spatio-Temporal Feature Fusion

Aerospace
Aero engine surge diagnosis is a key technology in engine health management, and its diagnostic accuracy is of great significance for ensuring operational safety.
Chunyan Hu, Yafeng Shen, Qingwen Zeng, Gang Xu, Jiaxian Sun, Keqiang Miao   +5 more
doaj   +1 more source

Noise-aware dictionary-learning-based sparse representation framework for detection and removal of single and combined noises from ECG signal

Healthcare Technology Letters, 2016
Automatic electrocardiogram (ECG) signal enhancement has become a crucial pre-processing step in most ECG signal analysis applications. In this Letter, the authors propose an automated noise-aware dictionary learning-based generalised ECG signal ...
Udit Satija, Barathram Ramkumar, M. Sabarimalai Manikandan   +2 more
doaj   +1 more source

Preterm Infants’ Pose Estimation With Spatio-Temporal Features [PDF]

IEEE Transactions on Biomedical Engineering, 2019
Objective: Preterm infants’ limb monitoring in neonatal intensive care units (NICUs) is of primary importance for assessing infants’ health status and motor/cognitive development. Herein, we propose a new approach to preterm infants’ limb pose estimation
S. Moccia, Lucia Migliorelli, V. Carnielli, E. Frontoni   +3 more
semanticscholar   +1 more source

3DPyranet Features Fusion for Spatio-temporal Feature Learning

CoRR
Convolutional neural network (CNN) slides a kernel over the whole image to produce an output map. This kernel scheme reduces the number of parameters with respect to a fully connected neural network (NN). While CNN has proven to be an effective model in recognition of handwritten characters and traffic signal sign boards, etc.
Ihsan Ullah 0002, Alfredo Petrosino
openaire   +2 more sources