Results 111 to 120 of about 30,075 (285)

A cellular automaton model for freeway traffic

, 1992
We introduce a stochastic discrete automaton model to simulate freeway traffic. Monte-Carlo simulations of the model show a transition from laminar traffic flow to start-stop- waves with increasing vehicle density, as is observed in real freeway traffic.
K. Nagel, M. Schreckenberg
semanticscholar   +1 more source

Advanced Time Series Data Processing Using Various Memristor‐Integrated Devices

Advanced Materials Technologies, EarlyView.
Memristor‐based temporal kernels (TKs) offer compact, energy‐efficient solutions for real‐time time‐series processing in edge devices. This perspective outlines key TK architectures, compares them with conventional reservoir computing, and highlights their application in tasks such as health monitoring, authentication, and anomaly detection ...
Sung Keun Shim, Joon‐Kyu Han, Janguk Han, Soo Hyung Lee, Dong Hoon Shin, Sunwoo Cheong, Sungho Kim, Hanyong Jeong, Yoon Ho Jang, Cheol Seong Hwang   +9 more
wiley   +1 more source

Single‐Virus Stochastic Biosensing: Proof of Concept for SARS‐CoV‐2 Detection in Complex Medium Using CMOS‐Based Nanocapacitor Arrays

Advanced Sensor Research, EarlyView.
SARS‐CoV‐2 particles in complex cell culture medium are detected using high‐frequency electrical measurements. This is made possible through the use of large arrays of independently addressable nanoelectrodes implemented using complementary metal oxide semiconductor (CMOS), semiconductor technology.
Suryasnata Tripathy, Mohammad Saghafi, Sudip Kumar Dutta, Stijn van der Ham, Diogenis Salvanos, Cecilia Laborde, Byron Martina, Serge G. Lemay   +7 more
wiley   +1 more source

Two Lane Traffic Simulations using Cellular Automata

, 1995
We examine a simple two lane cellular automaton based upon the single lane CA introduced by Nagel and Schreckenberg. We point out important parameters defining the shape of the fundamental diagram.
A. Latour, Alvarez, Ben-Naim, Benz, Brankov, Cremer, Gerlough, Helbing, K. Nagel, Latour, M. Rickert, M. Schreckenberg, May, McDonald, Munjal, Munjal, Nagatani, Nagatani, Nagatani, Nagatani, Nagel, Nagel, Nagel, Rickert, Schadschneider, Schreckenberg, Schütt   +26 more
core   +5 more sources

Machine Learning Enhanced Multimodal Bioelectronics: Advancement Toward Intelligent Healthcare Systems

Advanced Sensor Research, EarlyView.
This review examines recent advancements in multimodal bioelectronics, emphasizing machine learning integration to enhance functionality. The application of machine learning methodologies improving biosignal processing, device adaptability, and diagnostic accuracy is discussed to introduce Machine Learning enhanced bioelectronics as a pathway toward ...
Myoungjae Oh, Enji Kim, Jakyoung Lee, Inhea Jeong, Eunmin Kim, Joonho Paek, Taekyeong Lee, Dayeon Kim, Seung Hyun An, Sumin Kim, Jung Ah Lim, Jang‐Ung Park   +11 more
wiley   +1 more source

Land Use Dynamics: a Cellular Automata [PDF]

Usually applications of urban growth cellular automata are related to an only one town, with transition rules and constraints a priori defined. This seems to be a severe limits in applications.
Francesca Sirtori, Giovanni Rabino
core  

Bacterial‐Based Molecular Communication: Simulation of a Fixed and Receding Receiver Scenarios in Varied Viscosities and Environmental Conditions

Advanced Theory and Simulations, EarlyView.
This study presents a robust 3D simulation for BBMC, focusing on both fixed and receding receiver scenarios across various conditions. Key parameters such as D, Q, u, and d are tested at different values to assess the performance and reliability of BBMC in applications like drug delivery, addressing critical challenges in nanoscale communication with ...
Mustafa Ozan Duman, Ibrahim Isik, Esme Isik, Mehmet Bilal Er   +3 more
wiley   +1 more source

Deterministically Driven Avalanche Models of Solar Flares

, 2014
We develop and discuss the properties of a new class of lattice-based avalanche models of solar flares. These models are readily amenable to a relatively unambiguous physical interpretation in terms of slow twisting of a coronal loop.
B. Pontieu De, B.R. Dennis, D. Hamon, E.N. Parker, E.N. Parker, E.N. Parker, E.R. Priest, E.T. Lu, E.T. Lu, E.T. Lu, H. Baty, H.J. Jensen, J.A. Klimchuk, J.P. Norman, L. Morales, L.P. Kadanoff, M.A. Vallières-Nollet, M.J. Aschwanden, M.J. Aschwanden, M.J. Aschwanden, M.J. Aschwanden, M.J. Aschwanden, M.J. Aschwanden, M.R. Bareford, M.S. Wheatland, M.S. Wheatland, P. Bak, P. Charbonneau, P. Charbonneau, P. Grassberger, P.A. Robinson, R. Rosner, S. Lise, S.S. Manna, S.W. McIntosh, S.W. McIntosh, W.W. Liu, W.W. Liu, Z. Olami   +38 more
core   +1 more source

Excitation Energy Transfer between Porphyrin Dyes on a Clay Surface: A Study Employing Multifidelity Machine Learning

Advanced Theory and Simulations, EarlyView.
Inspired by natural light‐harvesting systems, this study computationally investigates a synthetic antenna by arranging cationic free‐base porphyrin molecules on an anionic clay surface. Using a multiscale quantum mechanics/molecular mechanics (QM/MM) approach combined with a multifidelity machine learning method, excitation energies are predicted ...
Dongyu Lyu, Vivin Vinod, Matthias Holzenkamp, Yannick Marcel Holtkamp, Sayan Maity, Carlos R. Salazar, Ulrich Kleinekathöfer, Peter Zaspel   +7 more
wiley   +1 more source

Role of the Setae in an Ectoparasitic Seal Louse in Reducing Surface Drag: Numerical Modeling Approach

Advanced Theory and Simulations, EarlyView.
The seal louse Echinophthirius horridus has uniquely shaped setae that may reduce drag during its host's dives. Using numerical simulations, this study demonstrates that their natural inclination promotes vortex formation, minimizing friction and energy loss. These findings provide insights into biological surface adaptations and may inspire the design
Anika Preuss, Stanislav N. Gorb, Alexander Kovalev, Alexander E. Filippov   +3 more
wiley   +1 more source