Results 61 to 70 of about 97,853 (291)

The Interoperability Challenge in DFT Workflows Across Implementations

Advanced Intelligent Discovery, EarlyView.
Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen, Tushar Singh Thakur, Manuel Dillenz, Johan M. Carlsson, Celso R. C. Rêgo, Eibar Flores, Hamidreza Hajiyani, Felix Hanke, Juan María García Lastra, Wolfgang Wenzel, Nicola Marzari, Tejs Vegge, Giovanni Pizzi, Ivano E. Castelli   +13 more
wiley   +1 more source

The method of intelligent wireless sensor to improve the water permeability of permeable asphalt concrete pavement

IET Networks, EarlyView., 2022
Abstract This research aims to study the intelligent wireless sensor to improve the water permeability of permeable asphalt concrete pavement. The water permeability of pavement is extremely important for the traffic environment. This study first briefly introduces the background and significance analysis, and then exemplifies the deployment algorithm ...
Xingmei Zhang, Cong Xu, Qi Lei
wiley   +1 more source

Queueing analysis of early message discard policy [PDF]

2002 IEEE International Conference on Communications. Conference Proceedings. ICC 2002 (Cat. No.02CH37333), 2003
We consider in this paper packets which arrive according to a Poisson process into a finite queue. A group of consecutive packets forms a frame (or a message) and one then considers not only the quality of service (QoS) of a single packet but also that of the whole message. In order to improve the required QoS, either on the frame loss probabilities or
Parijat Dube, Eitan Altman
openaire   +1 more source

Autonomous AI‐Driven Design for Skin Product Formulations

Advanced Intelligent Discovery, EarlyView.
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang, Yongrui Xiao, Chunlin Chen, Dimitrios Tsaoulidis, Kai Yang, Tao Chen   +5 more
wiley   +1 more source

Distributed wireless network resource optimisation method based on mobile edge computing

IET Networks, EarlyView., 2022
This paper mainly compares the network ranking leader, consumption amount and network signal reception of the three algorithms. The study found that in terms of network sort captain, there are significant differences between the CPLEX algorithm, the CCST algorithm, and edge computing methods. The CCST algorithm and edge computing have little difference
Jiongting Jiang, Chao Quan, Kai Qian, Jiefeng Pan, Yueping Yang   +4 more
wiley   +1 more source

Prioritization and scheduling in the vehicle-to-infrastructure (V2I) scheme for vanets using enhanced congestion control source based ant colony optimization

Automatika
Mobile ad hoc networks (MANETs), which include vehicular ad hoc networks (VANETs), are a promising method for intelligent transportation systems. The major challenges of VANET protocols are symmetric links and changing topology of the networks and hence ...
Lekshmi V, R. Suji Pramila
doaj   +1 more source

Recognizing Information Feature Variation: Message Importance Transfer Measure and Its Applications in Big Data

Entropy, 2018
Information transfer that characterizes the information feature variation can have a crucial impact on big data analytics and processing. Actually, the measure for information transfer can reflect the system change from the statistics by using the ...
Rui She, Shanyun Liu, Pingyi Fan
doaj   +1 more source

Innovative Artificial Intelligence‐Assisted Systems for Social Science Research: Architecture Design and Applied Practice

AI &Innovation, EarlyView.
ABSTRACT The rapid advancement of large language model (LLM) technology is profoundly transforming the practice of social science research. Scholarly discussions on Artificial Intelligence (AI)'s role in social science research can be organised into three levels: AI as a research tool, AI as a methodological infrastructure and AI as a quasi‐cognitive ...
Jie Xiong
wiley   +1 more source

Integration of Machine Learning Solutions in the Building Automation System

Energies, 2023
This publication presents a system for integrating machine learning and artificial intelligence solutions with building automation systems. The platform is based on cloud solutions and can integrate with one of the most popular virtual building ...
Bartlomiej Kawa, Piotr Borkowski
doaj   +1 more source

Covert Bits Through Queues

, 2016
We consider covert communication using a queuing timing channel in the presence of a warden. The covert message is encoded using the inter-arrival times of the packets, and the legitimate receiver and the warden observe the inter-departure times of the ...
Mukherjee, Pritam, Ulukus, Sennur
core   +1 more source