Results 51 to 60 of about 14,944,350 (281)

NbOx Mott Memristor‐Based Oscillatory P‐trit for Ternary Potts Machine

Advanced Science, EarlyView.
A ternary Potts machine utilizing NbOx‐based probabilistic trits (p‐trits) is demonstrated for efficient combinatorial optimization. By leveraging the electro‐thermal switching dynamics of NbOx memristors, this architecture generates three‐state stochastic fluctuations.
Hakseung Rhee, Seoeun Jang, Tae Wook Go, Woojoon Park, Gwangmin Kim, Do Hoon Kim, Hanchan Song, Younghyun Lee, Junmo Kang, Daehee Kim, Kyung Min Kim   +10 more
wiley   +1 more source

Soft, Multi‐Wavelength Photoplethysmography Enables Reliable Neonatal Blood Pressure Monitoring Via Error Stratification

Advanced Science, EarlyView.
A soft hybrid multi‐wavelength PPG wearable acquires neonatal signals. Synchronized PPG and invasive ABP data are segmented into fixed windows. A 1D‐EfficientNet model predicts segment‐level SBP and DBP. Model performance is examined with retrospective subgroup analysis across acquisition conditions.
Wenqi Shi, Lanlan Mi, Jiarong Chen, Biao Liu, Min Wang, Zisheng Dai, Bin Liu, Ruize Gao, Yunfeng Lin, Weiwei Guo, Guoxing Wang, Wenyi Luo, Cheng Chen   +12 more
wiley   +1 more source

Guidance Optimization of Travelers’ Travel Mode Choice Based on Fuel Tax Rate and Bus Departure Quantity in Two-Mode Transportation System

Journal of Advanced Transportation, 2020
This aim of this study is to improve the guidance role of the fuel tax rate and bus departure quantity on travel mode choice. Car and bus travel are chosen as the research object, and a day-to-day evolution model of dual-mode network traffic flow (based ...
Jianhui Wu, Yuanfa Ji, Xiyan Sun, Yan Xu
doaj   +1 more source

Benefits and issues for bus travel time estimation and prediction [PDF]

, 2012
Bus travel time estimation and prediction are two important modelling approaches which could facilitate transit users in using and transit providers in managing the public transport network.
Kieu, Le Minh, Bhaskar, Ashish, Chung, Edward   +2 more
core   +1 more source

Neuromorphic Devices and Computing for Sensing, Memory, and Control

Advanced Science, EarlyView.
This review introduces neuromorphic devices made from diverse materials. These devices mimic neuronal functions and architectures and, when integrated with artificial or biological computing, can form closed loops with neurons for pressure, optical, acoustic, and biochemical sensing and modulation.
Zhengguang Zhu, Nicholas Schaffer, Xiao Yang   +2 more
wiley   +1 more source

ARIMA models for bus travel time prediction [PDF]

, 2010
In this paper, the time series model, Autoregressive Integrated Moving Average (ARIMA) is used to predict bus travel time. ARIMA model is simpler used for predicting bus travel time based on travel time series data (historic data) compared to regression ...
Husna Zayadi
core   +1 more source

Bus Scheduling of Overlapping Routes With Multi-Vehicle Types Based on Passenger OD Data

IEEE Access, 2020
To mitigate the problems caused by bus route overlap in the transit network, this paper proposes a new scheduling method with both large and small vehicle types based on passenger OD (Origin-Destination) data.
Yiming Bie, Ruru Tang, Linhong Wang
doaj   +1 more source

Simulation of fixed route bus travel time [PDF]

Journal of Advanced Transportation, 1988
AbstractTravel time on fixed route urban bus route is discussed. Given that the travel time is a function of three basic variables, Monte Carlo procedure is used to simulate trips during a specific time interval. Each variable is assumed to have a specific probability distribution with known or estimatable parameters.
openaire   +1 more source

A Modular Variable Stiffness Co‐Bot System Achieving Tasks Flexibility and Contact Compliance

Advanced Science, EarlyView.
Bio‐inspired antagonistic compliance enables a modular rigid‐soft co‐bot platform with variable stiffness for safe human‐robot interaction (HRI): Standardized interfaces support application‐driven configurations with tailored DoFs, workspace, and stiffness range, making the system suited to HRI and low‐volume automation.
Wenlong Gaozhang, Yue Li, Jialei Shi, Yaxi Wang, Kaspar Althoefer, Agostino Stilli, Helge A. Wurdemann   +6 more
wiley   +1 more source

Micro/Nanoscale Acoustic Manipulation: From Particle Control to Autonomous Microswimmers

Advanced Science, EarlyView.
This conceptual framework illustrates acoustic technology as a multifunctional platform enabling passive particle manipulation across scales and autonomous propulsion of microswimmers. ABSTRACT Acoustic manipulation and propulsion technologies have emerged as powerful platforms for micro/nanoscale control, enabled by their non‐contact operation, label ...
Jiahui Chu, Lemin Zhang, Xu Wang, Wenzong Li, Yahua Liu   +4 more
wiley   +1 more source