Results 61 to 70 of about 154,707 (286)

A parallel spatiotemporal deep learning network for highway traffic flow forecasting

International Journal of Distributed Sensor Networks, 2019
Spatiotemporal features have a significant influence on traffic flow prediction. Due to the potentially internal relationship of adjacent roads, spatial information can, to some extent, affect traffic flow forecasting.
Dongxiao Han, Juan Chen, Jian Sun
doaj   +1 more source

Short-Term Forecasting of Passenger Demand under On-Demand Ride Services: A Spatio-Temporal Deep Learning Approach

, 2017
Short-term passenger demand forecasting is of great importance to the on-demand ride service platform, which can incentivize vacant cars moving from over-supply regions to over-demand regions.
Chen, Ke, Jintao, Xiqun, Yang, Hai, Zheng, Hongyu   +4 more
core   +1 more source

From RNA to DNA: How Cargo Identity Reprograms Lipid Nanoparticle Architecture and Function

Advanced Healthcare Materials, EarlyView.
The evolution of lipid nanoparticles (LNPs) spans from RNA‐LNPs, used in mRNA vaccines, to DNA‐LNPs, ideal for gene therapies. Emerging bionano architectures, decorated with DNA and plasma proteins, pave the way for advanced DNA‐based therapies that are more stable, targeted, and customizable.
Erica Quagliarini, Daniela Pozzi, Giulio Caracciolo   +2 more
wiley   +1 more source

A short-term traffic flow prediction network using filter-genetic feature selection method

Urban Lifeline
Accurate selection of spatial-temporal features is key to the short-term traffic flow prediction model outputting higher quality results, which can effectively reduce the difficulty of constructing the prediction model.
Bo Wang, Pinzheng Qian, Yang Cheng, Yu Qian, Jian Zhang   +4 more
doaj   +1 more source

Tree Memory Networks for Modelling Long-term Temporal Dependencies

, 2018
In the domain of sequence modelling, Recurrent Neural Networks (RNN) have been capable of achieving impressive results in a variety of application areas including visual question answering, part-of-speech tagging and machine translation.
Denman, Simon, Fernando, Tharindu, Fookes, Clinton, McFadyen, Aaron, Sridharan, Sridha   +4 more
core   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

Theoretical vs. Empirical Classification and Prediction of Congested Traffic States

, 2009
Starting from the instability diagram of a traffic flow model, we derive conditions for the occurrence of congested traffic states, their appearance, their spreading in space and time, and the related increase in travel times.
Helbing, Dirk, Kesting, Arne, Schönhof, Martin, Treiber, Martin   +3 more
core   +2 more sources

Moth‐Wing‐Inspired Multifunctional Metamaterials

Advanced Materials, EarlyView.
This study develops a moth‐wing‐inspired heterogeneous metamaterial that achieves synergistic broadband sound absorption, mechanical energy dissipation, and thermal insulation within a lightweight architected framework. Combining bioinspired gradient design, genetic‐algorithm optimization, and additive manufacturing, the bionic heterogeneous acoustic ...
Haoran Pei, Hang Yang, Ning Zhang, Tian Li, Xinxin Wang, Miao Zhao, Shuwei Ding, Xin Wang, Qinniu Lv, Zijie Xu, Yinghong Chen, Xinwei Li, Wei Zhai   +12 more
wiley   +1 more source

Short-term Traffic Flow Prediction Using Artificial Intelligence with Periodic Clustering and Elected Set

Promet (Zagreb), 2020
Forecasting short-term traffic flow using historical data is a difficult goal to achieve due to the randomness of the event. Due to the lack of a solid approach to short-term traffic prediction, the researchers are still working on novel approaches. This
Erdem Doğan
doaj   +1 more source

Multiphysics‐Driven Assembly of Biomimetic Vesicles

Advanced Materials, EarlyView.
Artificial extracellular vesicles, derived from cell membranes, are manufactured using a multiphysics‐integrated microfluidic platform that combines nanoknife membrane rupture, herringbone chaotic mixing, and acoustothermal modulation. This standardizable workflow enables the predictable control of vesicle formation and therapeutic loading, while ...
Timofei Solodko, Ian Gimino, Aastha Chandiwala, Bayan Alkotoub, Ali Bashiri Dezfouli, Heiko Reith, Asjad Bakhtiar, Rojda Hicsanmaz, Johann Brenner, Christoph J. O. Kaiser, Elena Belli, Shilpi Pandey, Samuel D. Rabkin, Kornelius Nielsch, Gabriele Multhoff, Oliver Hayden, Morteza Hasanzadeh Kafshgari   +16 more
wiley   +1 more source