Results 71 to 80 of about 2,032,836 (280)

Volatile Memristive Devices With Tunable Temporal Dynamics For Event‐Based Sensing

open access: yesAdvanced Materials, EarlyView.
Tunable volatile memristive devices can serve various neural‐inspired tasks that require different time windows of information retention. The ionic‐based volatility of the presented Pt/a‐STO/TaOx/Ta device stack can be reproducibly and controllably tuned in multiple ways.
Dimitrios Spithouris   +7 more
wiley   +1 more source

An unreliable single server retrial queue with collisions and transmission errors

open access: yes, 2020
International audienceThe present paper deals with the performance evaluation of an retrial queue with collisions, transmission errors and unreliable server.
Barkaoui, Kamel   +4 more
core   +1 more source

Batch Arrival Queueing Model with Unreliable Server

open access: yesInternational Journal of Engineering and Technology, 2018
The unreliable server with provision of temporary server in the context of application has been investigated. A temporary server is installed when the primary server is over loaded i.e., a fixed queue length of K-policy customers including the customer with the primary server has been build up. The primary server may breakdown while rendering service to
M. Seenivasan, K. S.Subasri
openaire   +2 more sources

Toward Pore‐Engineered 3D‐Printed Materials for Sorption Water Harvesting, Interfacial Evaporation, and Radiative Cooling

open access: yesAdvanced Materials, EarlyView.
Water harvesting, radiative cooling, and interfacial solar evaporation are fundamentally governed by coupled heat, mass, and light transport processes. These processes are mediated by pore architecture, including pore size, connectivity, and hierarchical organization.
Dejan J. Trajkovski   +5 more
wiley   +1 more source

Asymptotic analysis of Markovian retrial queue with unreliable server and multiple types of outgoing calls [PDF]

open access: yes, 2021
In this paper, we consider markovian retrial queue with twoway communication and unreliable server. Input process is Poisson with constant rate.
Paul, Svetlana V.   +2 more
core  

Descriptors to Dynamics: A Materials and Device Perspective on in‐Materio Physical Reservoir Computing for Neuromorphic Edge Intelligence

open access: yesAdvanced Materials, EarlyView.
Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh   +5 more
wiley   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

open access: yesAdvanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang   +8 more
wiley   +1 more source

Unlocking Terahertz Steganography: Authentication of Hidden Images in Flexible Media

open access: yesAdvanced Materials Technologies, EarlyView.
Hidden information in multilayered devices, such as steganographic portraits, is detected and authenticated using reflection‐mode terahertz time‐domain imaging. Image reconstruction relies on a dedicated figure‐of‐merit obtained by integrating the signal intensity over the time‐window associated with the reflection from the metallic mirror backing the ...
Tiziana Ritacco   +4 more
wiley   +1 more source

Performance Analysis and Reliability Prediction of Multi‐State Service Systems With Multiple Failure Modes of Unreliable Server: An Engineering Perspective

open access: yesEngineering Reports
The long‐term reliability of a machining system is essential for ensuring the uninterrupted operation of an automated manufacturing process. For maintaining optimal system performance, it is essential to model and analyze the system's reliability and ...
Shreekant Varshney   +4 more
doaj   +1 more source

XAI-FL: An Explainable Artificial Intelligence-Based Framework and Performance Analysis for Federated Learning

open access: yesIEEE Open Journal of the Communications Society
Federated Learning (FL) has emerged as a promising approach, enabling collaborative model training across multiple clients without compromising data privacy. However, traditional FL methods assume uniform client computational power and data distribution,
Junnan Yang   +5 more
doaj   +1 more source

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