State-of-the-art and comparative review of adaptive sampling methods for kriging
Metamodels aim to approximate characteristics of functions or systems from the knowledge
extracted on only a finite number of samples. In recent years kriging has emerged as a …
extracted on only a finite number of samples. In recent years kriging has emerged as a …
Supervised feature selection techniques in network intrusion detection: A critical review
Abstract Machine Learning (ML) techniques are becoming an invaluable support for network
intrusion detection, especially in revealing anomalous flows, which often hide cyber-threats …
intrusion detection, especially in revealing anomalous flows, which often hide cyber-threats …
Automated algorithm selection: Survey and perspectives
It has long been observed that for practically any computational problem that has been
intensely studied, different instances are best solved using different algorithms. This is …
intensely studied, different instances are best solved using different algorithms. This is …
Reconfigurable intelligent surface based RF sensing: Design, optimization, and implementation
Using radio-frequency (RF) sensing techniques for human posture recognition has attracted
growing interest due to its advantages of pervasiveness, contact-free observation, and …
growing interest due to its advantages of pervasiveness, contact-free observation, and …
Bringing a blurry frame alive at high frame-rate with an event camera
Event-based cameras can measure intensity changes (called'events') with microsecond
accuracy under high-speed motion and challenging lighting conditions. With the active pixel …
accuracy under high-speed motion and challenging lighting conditions. With the active pixel …
Estimating maize biomass and yield over large areas using high spatial and temporal resolution Sentinel-2 like remote sensing data
M Battude, A Al Bitar, D Morin, J Cros, M Huc… - Remote Sensing of …, 2016 - Elsevier
This study aims at develo** a robust and generic methodology, based on the use of high
resolution remote sensing data to provide accurate estimates of maize biomass and yield …
resolution remote sensing data to provide accurate estimates of maize biomass and yield …
A stochastic radial basis function method for the global optimization of expensive functions
We introduce a new framework for the global optimization of computationally expensive
multimodal functions when derivatives are unavailable. The proposed Stochastic Response …
multimodal functions when derivatives are unavailable. The proposed Stochastic Response …
Optimal PV inverter reactive power control and real power curtailment to improve performance of unbalanced four-wire LV distribution networks
The rapid uptake of residential photovoltaic (PV) systems is causing serious power quality
issues such as significant voltage fluctuation and unbalance that are restricting the ability of …
issues such as significant voltage fluctuation and unbalance that are restricting the ability of …
Deep learning and network analysis: Classifying and visualizing accident narratives in construction
If headway is to be made to improve safety performance in construction, then there is a need
to learn from past accidents. Accident reports provide a useful source of information to make …
to learn from past accidents. Accident reports provide a useful source of information to make …
Estimating entropy production from waiting time distributions
Living systems operate far from thermal equilibrium by converting the chemical potential of
ATP into mechanical work to achieve growth, replication, or locomotion. Given time series …
ATP into mechanical work to achieve growth, replication, or locomotion. Given time series …