Results 31 to 40 of about 17,373 (269)

Control of Multilayer Networks [PDF]

open access: yesScientific Reports, 2016
AbstractThe controllability of a network is a theoretical problem of relevance in a variety of contexts ranging from financial markets to the brain. Until now, network controllability has been characterized only on isolated networks, while the vast majority of complex systems are formed by multilayer networks.
Menichetti, Giulia   +2 more
openaire   +4 more sources

SETNDS: A SET-Based Non-Dominated Sorting Algorithm for Multi-Objective Optimization Problems

open access: yesApplied Sciences, 2020
Non-dominated sorting, used to find pareto solutions or assign solutions to different fronts, is a key but time-consuming process in multi-objective evolutionary algorithms (MOEAs).
Lingling Xue, Peng Zeng, Haibin Yu
doaj   +1 more source

Integrated Optimization for Biofuel Management Associated with a Biomass-Penetrated Heating System under Multiple and Compound Uncertainties

open access: yesEnergies, 2022
The biofuel management of a biofuel-penetrated district heating system is complicated due to its association with multiple and polymorphic uncertainties.
Dianzheng Fu   +3 more
doaj   +1 more source

Control networks and hubs [PDF]

open access: yesPsychophysiology, 2017
AbstractExecutive control functions are associated with frontal, parietal, cingulate, and insular brain regions that interact through distributed large‐scale networks. Here, we discuss how fMRI functional connectivity can shed light on the organization of control networks and how they interact with other parts of the brain.
Gratton, Caterina   +2 more
openaire   +3 more sources

Scheduling for Emergency Tasks in Industrial Wireless Sensor Networks

open access: yesSensors, 2017
Wireless sensor networks (WSNs) are widely applied in industrial manufacturing systems. By means of centralized control, the real-time requirement and reliability can be provided by WSNs in industrial production.
Changqing Xia   +3 more
doaj   +1 more source

Intelligent Fault Diagnosis of Industrial Robot Based on Multiclass Mahalanobis-Taguchi System for Imbalanced Data

open access: yesEntropy, 2022
One of the biggest challenges for the fault diagnosis research of industrial robots is that the normal data is far more than the fault data; that is, the data is imbalanced. The traditional diagnosis approaches of industrial robots are more biased toward
Yue Sun   +5 more
doaj   +1 more source

Carcinomas and Carcinoid Tumors of the Lungs and Bronchi in Children and Adolescents: The EXPeRT Recommendations

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Primary lung carcinomas and bronchial carcinoid tumors (BC) are very rare malignancies in childhood. While typical BC and mucoepidermoid carcinomas are mostly low‐grade, localized tumors with a more favorable prognosis than in adults, necessitating avoidance of overtreatment, adenocarcinomas of the lung are often diagnosed at advanced disease ...
Michael Abele   +19 more
wiley   +1 more source

Improving time series forecasting in frequency domain using a multi resolution dual branch mixer with noise insensitive ArcTanLoss

open access: yesScientific Reports
Enhancing the accuracy of long-term time series forecasting is a crucial task across various fields. Recently, many studies have employed the Discrete Fourier Transform (DFT) to convert time series into the frequency domain for forecasting, as it ...
Yahao Zhang   +4 more
doaj   +1 more source

Indirect Vaccine Box Localization in Small to Medium Obstructed Cold Storages via Worker Tracking With VCS-YOLOv5

open access: yesIEEE Access
Within the realm of public health, the end-to-end traceability and monitoring of vaccines play an indispensable role in ascertaining the safety and efficacy of vaccines, especially the precise localization of vaccines in the vaccine cold storage. However,
Chen Liang   +4 more
doaj   +1 more source

Property Investigation on the Additive White Gaussian Noise After Sub-Nyquist Sampling

open access: yesIEEE Access, 2019
The sub-Nyquist sampling (SNS) has emerged as an appealing technique for wideband signal sampling and has found its applications in many areas, such as, cognitive radios, radar and medical imaging, etc..
Tierui Gong   +3 more
doaj   +1 more source

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