Results 51 to 60 of about 1,128,066 (300)

Cloud Model-Based Fuzzy Inference System for Short-Term Traffic Flow Prediction

Mathematics, 2023
Since traffic congestion during peak hours has become the norm in daily life, research on short-term traffic flow forecasting has attracted widespread attention that can alleviate urban traffic congestion.
He-Wei Liu, Yi-Ting Wang, Xiao-Kang Wang, Ye Liu, Yan Liu, Xue-Yang Zhang, Fei Xiao   +6 more
doaj   +1 more source

Generalising Traffic Forecasting to Regions Without Traffic Observations

Proceedings of the AAAI Conference on Artificial Intelligence
Traffic forecasting is essential for intelligent transportation systems. Accurate forecasting relies on continuous observations collected by traffic sensors. However, due to high deployment and maintenance costs, not all regions are equipped with such sensors.
Xinyu Su, Majid Sarvi, Feng Liu 0003, Egemen Tanin, Jianzhong Qi 0001   +4 more
openaire   +3 more sources

Metastatic niche shaped by host factors influences disseminated cancer cell fate

FEBS Letters, EarlyView.
Metastasis is shaped not only by cancer cells but also by the environments they encounter. This review explores how factors such as aging, diet, the microbiome, lifestyle, and environmental exposures remodel organ‐specific niches in the lung, liver, bone, and brain, influencing where metastatic cells survive, remain dormant, or grow, and ultimately ...
Gwennan Delyth Ward, Álvaro Ruiz‐Tabas, Patricia Altea‐Manzano   +2 more
wiley   +1 more source

Short-Term Traffic Flow Forecasting Method Based on LSSVM Model Optimized by GA-PSO Hybrid Algorithm

Discrete Dynamics in Nature and Society, 2018
Short-term traffic flow forecasting is one of the key issues in the field of dynamic traffic control and management. Because of the uncertainty and nonlinearity, short-term traffic flow forecasting remains a challenging task.
Qichun Bing, Dayi Qu, Xiufeng Chen, Fuquan Pan, Jinli Wei   +4 more
doaj   +1 more source

A Hybrid Forecasting Framework Based on Support Vector Regression with a Modified Genetic Algorithm and a Random Forest for Traffic Flow Prediction

Tsinghua Science and Technology, 2018
The ability to perform short-term traffic flow forecasting is a crucial component of intelligent transportation systems. However, accurate and reliable traffic flow forecasting is still a significant issue due to the complexity and variability of real ...
Lizong Zhang, Nawaf R Alharbe, Guangchun Luo, Zhiyuan Yao, Ying Li   +4 more
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 Hybrid Forecasting Model for Self-Similar Traffic in LEO Mega-Constellation Networks

Aerospace
Mega-constellation network traffic forecasting provides key information for routing and resource allocation, which is of great significance to the performance of satellite networks.
Chi Han, Wei Xiong, Ronghuan Yu
doaj   +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

Broadband Traffic Forecasting in the Transport Network

, 2012
This paper proposes a modification of traffic forecast model generated by residential and small business (SOHO, Small Office Home Office) users. The model includes forecasted values of different relevant factors and competition on broadband market.
Goran Marković, Marković, Goran, Drašković, Borko, Milan Janković, Borko Drašković, Radojičić, Valentina, Janković, Milan, Valentina Radojičić   +7 more
core   +1 more source

TFGCRN: Temporal–Frequency Graph Convolutional Recurrent Network for Incomplete Traffic Forecasting

Mathematics
Traffic forecasting is a crucial component that underpins an intelligent transportation system. Among the current mainstream forecasting algorithms, spatial–temporal graph neural networks (STGNNs), as the mainstream solution, have been used in traffic ...
Jiazhan Hu, Tao Feng
doaj   +1 more source