This work proposes a machine vision based approach for the detection and classification of the surface defects such as normal wear, corrosive pitting, rust and erosion that are usually present in used gun barrels.
Finally, an engineered aptamer based approach for the detection of organophosphorus pesticides was successfully applied in a test using a real sample, the limit of quantification (LOQ) for phorate, profenofos, isocarbophos, and omethoate reached 19.2, 13.4, 17.2, and 23.4 nM (0.005 mg L−1), respectively.
Livadas et al. [4, 11] proposed a machine learning based approach for botnet detection using some general network-level traffic features of chat-like protocols such as IRC.
On the one hand, the performance of the novel CR-HOG based approach for vehicle detection is tested on the database referred to in Section 6.2.2.
This paper describes a vacuum-decay based approach for evaporative leak detection.
The authors in [55] presented a signal processing based approach for power quality detection and classification in smart grids.
A new model based approach for the traffic congestion detection in time series of airborne optical digital camera images is proposed.
We propose a factor graph (FG) based approach for maximum a posteriori (MAP) symbol detection which exploits the frequency diversity introduced by the ICI in the OFDM symbol.
This paper presents a reference model-based approach for detection of different faults in a wind turbine.
In this paper, we present a multi-step outlier-based approach for detection of anomalies in network-wide traffic.
