Results 171 to 180 of about 724,768 (322)

Introduction to the Special Issue on Discrete Event Models of Continuous Systems [PDF]

, 2000
Sebastian Engell
openalex   +1 more source

Integrative Approaches for DNA Sequence‐Controlled Functional Materials

Advanced Functional Materials, EarlyView.
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo, Ewa Anna Oprzeska‐Zingrebe, Mariana Kozlowska, Lennart Hilbert, Iliya D. Stoev   +4 more
wiley   +1 more source

Insertion attack identification in discrete event systems using petri nets with an observer. [PDF]

PLoS One
Ahmed AA, Chen Y, El-Sherbeeny AM.
europepmc   +1 more source

Trap‐Modified Inverted Organic Photodetectors via Layer‐by‐Layer Processing with Poly(N‐vinylcarbazole) Additives

Advanced Functional Materials, EarlyView.
Trap state engineering in inverted organic photodetectors (OPDs) is achieved via combined layer‐by‐layer (LbL) processing and poly(N‐vinylcarbazole) (PVK) incorporation. LbL reduces the trap density while PVK additives gradually shift trap states from shallow band‐edge to deep mid‐gap levels, tailoring the energy distribution.
Jingwei Yi, Yi Yang, Yusen Pei, Apurva Gadikar, Vahid Mahdikhah, Myratgeldi Kotyrov, Seung Hyun Kim, Kenan Gundogdu, Wei You, Harald Ade, Franky So   +10 more
wiley   +1 more source

State-Based Fault Diagnosis of Finite-State Vector Discrete-Event Systems via Integer Linear Programming. [PDF]

Sensors (Basel)
Chen Q, Garayev M, Liu D.
europepmc   +1 more source

Creating a digital twin for a production logistics model system using Discrete Event Simulation

István Munkácsi, Róbert Skapinyecz
openalex   +2 more sources

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source

Sensor Network Attack Synthesis against Fault Diagnosis of Discrete Event Systems. [PDF]

Sensors (Basel)
Kang T, Hou Y, Liu D.
europepmc   +1 more source

Synchronized Electro‐Chromo‐Emissive Devices Using a Mixed Ionic‐Electronic Conductive Layer for XR Applications

Advanced Functional Materials, EarlyView.
A single cell type Electro‐chromo‐emissive (ECECL) device integrating synchronized electrochromic (EC) and electrochemiluminescent (ECL) functions is developed using a mixed ionic‐electronic conductor (MIEC). A MIEC layer reduces ionic/electronic resistance, enabling ultrafast switching and enhanced optical contrast.
Hwandong Jang, Sienoh Park, Won‐Jae Joo, Jinbo Kim, Nori Kobayashi, Eunkyoung Kim   +5 more
wiley   +1 more source

Optimal control of discrete event systems under uncertain environment based on supervisory control theory and reinforcement learning. [PDF]

Sci Rep
Liu Y, Liu F.
europepmc   +1 more source