Results 61 to 70 of about 11,119,065 (317)

Convolutional Neural Network-Based Bidirectional Gated Recurrent Unit–Additive Attention Mechanism Hybrid Deep Neural Networks for Short-Term Traffic Flow Prediction

Sustainability
To more accurately predict short-term traffic flow, this study posits a sophisticated integrated prediction model, CNN-BiGRU-AAM, based on the additive attention mechanism of a convolutional bidirectional gated recurrent unit neural network.
Song Liu, Wenting Lin, Yue Wang, Dennis Z. Yu, Yong Peng, Xian-Ting Ma   +5 more
semanticscholar   +1 more source

Spatio-Temporal Generative Adversarial Clustered Graph Convolutional Network for Anomalous Traffic Flow Prediction [PDF]

Jisuanji gongcheng
Accurate traffic flow prediction is critical for urban transportation; however, abnormal events in traffic flow, such as severe weather or emergency road conditions, present significant challenges in maintaining the accuracy of current traffic flow ...
ZHANG Hong, YANG Junyi
doaj   +1 more source

Membrane composition and thermodynamic identity as boundaries of life for synthetic cell research

FEBS Letters, EarlyView.
What makes a cell a cell? The boundary of a living cell is not just a wall. Read as a Markov blanket, the membrane separates internal from external states, generating identity and non‐equilibrium order. Can this identity be rebuilt from scratch in a synthetic cell?
Caterina Presutti, Bert Poolman
wiley   +1 more source

A deep learning short-term traffic flow prediction method considering spatial-temporal association

智能科学与技术学报, 2021
The short-term traffic flow prediction is too dependent on the time correlation characteristics, which due to the problems that the correlation factors of the spatial correlation characteristics are too complicated and difficult to quantify.In response ...
Yang ZHANG, Yue HU, Dongrong XIN
doaj  

Effect of Time Intervals on K-nearest Neighbors Model for Short-term Traffic Flow Prediction [PDF]

, 2019
The accuracy and reliability in predicting short-term traffic flow is important. The K-nearest neighbors (K-NN) approach has been widely used as a nonparametric model for traffic flow prediction.
Liu, Zhao, Yun Wei, Wei Huang, Wei, Yun, Jianhua Guo, Cao, Jinde, Xiao Qin, Zhu, Xuanbing, Xuanbing Zhu, Jinde Cao, Zhao Liu, Huang, Wei, Qin, Xiao, Guo, Jianhua   +13 more
core   +1 more source

A novel quinazolinone insulin receptor inhibitor and its synergy with an EGFR inhibitor in glucose‐driven glioblastoma

Molecular Oncology, EarlyView.
The novel styrylquinazolinone‐based molecule W1B effectively suppresses glioblastoma by inhibiting IGF1R and EGFR. In high‐glucose microenvironments driving tumor resistance, W1B acts synergistically with the EGFR inhibitor dacomitinib. This combination safely blocks compensatory survival signaling in zebrafish xenograft models. Showcasing promising in
Patryk Rurka, Wioleta Cieślik, Wojciech Płaziński, Katarzyna Stępnik, Anna Boguszewska‐Czubara, Elżbieta Kot, Robert Musioł, Mateusz Jasica, Anna Mrozek‐Wilczkiewicz, Katarzyna Malarz   +9 more
wiley   +1 more source

Research on prediction method of expressway section traffic flow considering anomaly detection probability

IET Intelligent Transport Systems
Real‐time and accurate short‐term traffic flow prediction can provide a scientific basis for decision making by travellers and traffic management, and alleviate traffic congestion to a certain extent.
Zhiyu Wang, Linheng Li, Xu Qu, Peipei Mao, Bin Ran   +4 more
doaj   +1 more source

Anti‐CD20 Discontinuation Versus Continuation in People Aged Over 50 With Non‐Active Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine whether discontinuing anti‐CD20 therapy in people with relapsing‐onset MS aged over 50 is associated with an increased risk of relapse, inflammatory activity, confirmed disability accrual, and serious infection compared with continuing therapy.
Alexia Moukhine, Fabien Rollot, Romain Casey, Nicolas Collongues, Sandra Vukusic, Guillaume Mathey, Anne Laure Dubessy, Jonathan Ciron, Jérôme De Seze, Aurélie Ruet, Pierre Labauge, Arnaud Kwiatkowski, Hélène Zephir, Caroline Papeix, Gilles Defer, Christine Lebrun‐Frenay, David Axel Laplaud, Eric Berger, Eric Thouvenot, Jean Pelletier, Abdullatif Al Khedr, Olivier Casez, Bertrand Bourre, Abir Wahab, Laurent Magy, Jean‐Philippe Camdessanché, Ines Doghri, Solène Moulin, Mariana Sarov Rivière, Karolina Hankiewicz, Amélie Dos Santos, Corinne Pottier, Eric Manchon, Jennifer Aboab, Maia Tchikviladze, Thomas David, Gilles Edan, Emmanuelle Le Page, Laure Michel, Anne Kerbrat, OFSEP Investigators   +40 more
wiley   +1 more source

Microfluidic Nano‐Assembly of Red‐Blood‐Cell (RBC) Lipids and Components for Engineering Extracellular Vesicles

Advanced Healthcare Materials, EarlyView.
Engineered red blood cell‐derived extracellular vesicles (eRBCEVs) are synthesized via controlled microfluidic assembly from native RBC lipids, enabling tunable encapsulation of proteins, nucleic acids, nanoparticles, and viral vectors. The platform demonstrates reproducible nanoscale architecture, preserved membrane composition, and functional cargo ...
Chiranth K. Nagaraj, Xilal Y. Rima, Kim T. Nguyen, Courtney Culkins, Nana Boateng, Jacob Doon‐Ralls, Alejandro Bresolin, Xin Huang, Hong Li, Vahedi Amid, Ajeet Pal Singh, Dharti Shantaram, Anastasiia Amari, Mangesh D. Hade, Nicholas R. Merriam, Zachary D. Schultz, Scott Q. Harper, Nizar Y. Saad, Setty M. Magaña, Willa A. Hsueh, Rachel E. Kopec, Blaise R. Kimmel, Andre F. Palmer, Eduardo Reátegui   +23 more
wiley   +1 more source

Construction of a traffic flow prediction model based on neural ordinary differential equations and Spatiotemporal adaptive networks

Scientific Reports
To address the issue of spatiotemporal illusion in short-term traffic flow prediction and deeply explore the underlying short-term traffic flow network characteristics, a traffic flow prediction model that combines long-term spatiotemporal heterogeneity ...
Li Ma, Yunshun Wang, Xiaoshi Lv, Lijun Guo   +3 more
doaj   +1 more source