Results 91 to 100 of about 154,459 (280)

An AutoEncoder and LSTM-Based Traffic Flow Prediction Method

Sensors, 2019
Smart cities can effectively improve the quality of urban life. Intelligent Transportation System (ITS) is an important part of smart cities. The accurate and real-time prediction of traffic flow plays an important role in ITSs. To improve the prediction
Wangyang Wei, Honghai Wu, Huadong Ma
doaj   +1 more source

Tetrastigma Hemsleyanum Polysaccharide Suppresses Triple‐Negative Breast Cancer by Disrupting the Hippo‐YAP/TEAD4‐PDIA4 Axis and Endoplasmic Reticulum Stress Adaptation

Advanced Science, EarlyView.
ABSTRACT Triple‐negative breast cancer (TNBC) exhibits addiction to chronic endoplasmic reticulum (ER) stress, which sustains an aggressive metastatic phenotype through activation of the unfolded protein response (UPR). Here, we identify a previously unrecognized “ER‐stress addiction” axis in which the Hippo pathway effector TEAD4 directly ...
Yini Shang, Wentao Si, Youxue Zhang, Jialin Liu, Huaixi Zhang, Yafei Li, Hongmeng Su, Wei Jiang, Zhishan Ding, Lihong Wang   +9 more
wiley   +1 more source

Traffic Flow Data Prediction Using Residual Deconvolution Based Deep Generative Network

IEEE Access, 2019
Traffic flow prediction is quite crucial for estimating the future traffic states, efficient and accurate prediction models greatly contribute to the smooth traffic of road networks.
Di Zang, Yang Fang, Zhihua Wei, Keshuang Tang, Jiujun Cheng   +4 more
doaj   +1 more source

A Combined Deep Learning Method with Attention-Based LSTM Model for Short-Term Traffic Speed Forecasting

Journal of Advanced Transportation, 2020
Short-term traffic speed prediction is a promising research topic in intelligent transportation systems (ITSs), which also plays an important role in the real-time decision-making of traffic control and guidance systems.
Pan Wu, Zilin Huang, Yuzhuang Pian, Lunhui Xu, Jinlong Li, Kaixun Chen   +5 more
doaj   +1 more source

Autoimmune Encephalitis in Acute Care—Pathology, Diagnosis, and Management

Advanced Science, EarlyView.
ABSTRACT Autoimmune encephalitis (AE) is characterized by immune‐mediated inflammation of the brain parenchyma, presenting with various neurological syndromes, including but not limited to seizures, altered consciousness, neuropsychiatric symptoms, and movement disorders.
Suneesh Thilak, David Okoh, William Scotton, Shanika Samarasekera, Vikram Patil, Suresh Renukappa, Andrew Macduff, Subashini Suresh, Rajeev Krishnadas, Tonny Veenith   +9 more
wiley   +1 more source

Identifying Cytokine Motif‐Containing, Immunomodulatory Bacterial Proteins in Human Gut Microbiome

Advanced Science, EarlyView.
By building and constructing HMM (Upper left, blue), the authors identify CMCPs in bacteria genomes and CRC related metagenomes and enriched CRC‐related CMCPs (Upper right, blue). They analyze sequence and structural similarity of hits (Lower left, green), test function with engineered EcN delivered to tumors in a mouse tumor model (Lower right, pink ...
Ziyu Wang, Siqi Guo, Jing Li, Qianqian Huang, Jing Ning, Binbin Xia, Xun Lv, Xiang Liu, Zeyu Gao, Jine Li, Longchao Liu, Moshi Song, Jun Wang   +12 more
wiley   +1 more source

Improved genetic algorithm optimized LSTM model and its application in short-term traffic flow prediction. [PDF]

PeerJ Comput Sci, 2022
Zhang J, Qu S, Zhang Z, Cheng S.
europepmc   +1 more source

Targeting m6A Reader YTHDF1 Enhances Antitumor Immunity and Potentiates Anti‐PD‐L1 Efficacy in Intrahepatic Cholangiocarcinoma

Advanced Science, EarlyView.
The m6A reader YTHDF1 drives intrahepatic cholangiocarcinoma (ICC) progression by remodeling the tumor immune microenvironment. YTHDF1 promotes MDSC recruitment via activation of m6A‐FOSL2‐CXCL6/CXCR2 axis, thereby suppressing CD8+ T cell infiltration and function.
Li Luo, Ziqin Liu, Zimin Song, Dong Zhang, Cong Liang, Fei Fang, Kai Lei, Lina Wang, Weikang Chen, Shunli Shen, Ming Kuang, Xiaoxing Li, Jun Yu, Shiyan Wang, Lixia Xu   +14 more
wiley   +1 more source

A Long Short-Term Memory Recurrent Neural Network Framework for Network Traffic Matrix Prediction

, 2017
Network Traffic Matrix (TM) prediction is defined as the problem of estimating future network traffic from the previous and achieved network traffic data. It is widely used in network planning, resource management and network security.
Azzouni, Abdelhadi, Pujolle, Guy
core  

An On‐Demand Neuromorphic Vision System Enabled by a Multi‐Paradigm Neuromorphic Device and Hierarchical Reconfigurability Designed from Device to System Level

Advanced Science, EarlyView.
An on‐demand ultra‐reconfigurable intelligent vision system with hierarchical reconfigurability from device to system levels is demonstrated. Through co‐design of a multi‐paradigm device, reconfigurable circuits, and adaptive system architecture/algorithms, the system enables seamless switching among spiking, non‐spiking, neuromorphic imaging (NI), and
Biyi Jiang, Jiayi Xu, Liang Ran, Xinhe Feng, Khalil Harrabi, Yida Li, Longyang Lin, Feichi Zhou   +7 more
wiley   +1 more source