Results 101 to 110 of about 4,103,347 (253)

Attention-Based Spatial-Temporal Convolution Gated Recurrent Unit for Traffic Flow Forecasting. [PDF]

Entropy (Basel), 2023
Zhang Q, Chang W, Yin C, Xiao P, Li K, Tan M.   +5 more
europepmc   +1 more source

Latent Heat of a Traffic Model

, 2013
We have studied the optimal velocity model (Bando et al., Jpn J Indust Appl Math 11:203, 1994; Phys Rev E 51:1035, 1995; J Phys I Fr 5:1389, 1995) for highway traffic. On a microscopic level, traffic flow is described by Bando's optimal velocity model in
Mahnke, Reinhard,, Hans Weber, Weber, Hans,, Reinhard Mahnke   +3 more
core   +1 more source

Smart Nanotechnologies for Multimodal Neuromodulation and Brain Interfacing

Advanced Science, EarlyView.
Recent advances in smart nanotechnologies are expanding the toolbox for brain interfacing, from wireless neuromodulation and high‐resolution sensing to targeted delivery within the central nervous system. By combining responsive nanomaterials with bioinspired design, these platforms enable multimodal interactions with neurons and glia, while also ...
Tommaso Curiale, Marie Celine Lefevre, Alessio Carmignani, Maria Cristina Ceccarelli, Matteo Battaglini, Attilio Marino, Gianni Ciofani   +6 more
wiley   +1 more source

Freeway Short-Term Traffic Flow Forecasting by Considering Traffic Volatility Dynamics and Missing Data Situations

, 2012
Short-term traffic flow forecasting is a critical function in advanced traffic management systems (ATMS) and advanced traveler information systems (ATIS).
Zhang, Yanru
core   +1 more source

Traffic flow forecasting using natural selection based hybrid Bald Eagle Search-Grey Wolf optimization algorithm. [PDF]

PLoS One, 2022
R S, S A A, Y V RR, Sadiq AS.
europepmc   +1 more source

Ferroelectric Devices for In‐Memory and In‐Sensor Computing

Advanced Science, EarlyView.
Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang, Ronghuan Xie, Qiang Cao, Shishen Yan, Xiaolin Wang, Limei Zheng   +5 more
wiley   +1 more source

CLEAR-GNN: connectivity-learning enhanced adaptive regression using streamlined GNN

Journal of King Saud University: Computer and Information Sciences
Traffic forecasting is an essential component in intelligent transportation systems (ITS) to ensure effective traffic flow management, real-time decision-making, and congestion mitigation.
Meshari D. Alanazi, Mohammed Albekairi, Turki M. Alanazi, Gehan Elsayed, Ghulam Abbas, Amr Yousef   +5 more
doaj   +1 more source

A Deep Learning Framework About Traffic Flow Forecasting for Urban Traffic Emission Monitoring System. [PDF]

Front Public Health, 2021
Yao B, Ma A, Feng R, Shen X, Zhang M, Yao Y.   +5 more
europepmc   +1 more source

Engineering Microbial Particles for Next‐Generation Biomedical Platforms

Advanced Science, EarlyView.
Microbe‐derived particles (MDPs), which include extracellular vesicles, outer membrane vesicles, inclusion bodies, polysaccharide particles, and virus‐like particles, represent a rapidly expanding category of bioinspired nanomaterials. With their natural origin, intrinsic biocompatibility, and highly programmable functionality, MDPs serve as a ...
Yuting Li, Yunjie Lu, Ziyan Huang, Jianjiang Chen, Yanbin Liu, Lei Qin, Chao Wang, Yumin Wu   +7 more
wiley   +1 more source

STAE-BiSSSM: A Traffic Flow Forecasting Model with High Parameter Effectiveness

ISPRS International Journal of Geo-Information
Traffic flow forecasting plays a significant role in intelligent transportation systems (ITSs) and is instructive for traffic planning, management and control.
Duoliang Liu, Qiang Qu, Xuebo Chen
doaj   +1 more source