… propose a framework for identifying known anomalies automatically by a two-phase SVM
classification. … SVM classifier is a machine learning approach based on the structural risk theory …

… Selecting the best machine translation for users We propose a two-phase evaluation process
for selecting the best translation result from multiple machine translation services. The first …

… This method is also a two-phase algorithm using local … The evaluation method we use
is quite simple: metrics precision, … as statistics, information retrieval and machine learning[31-33]. …

… So as this project made based on machine learning, it motivates me a lot to work with it. I am
… It presents a two-phase data mining methodology consisting of 1) feature extraction and 2) …

… A Bayesian approach to degradation-based burn-in optimization for display products exhibiting
two-phase degradation patterns. Reliability Engineering & System Safety, 2016, 155(11): …

… dynamic process prediction, the GRU model is trained by using the collected datasets from
a CO2 gas-liquid two-phase flow rig and optimized by using a grid search method combined …

… analysis method based on convolutional neural network (CNN) with two-phase feature …
His research interest covers artificial intelligence, machine learning, and computer vision.) …

… velocity on the gas-water two-phase seepage. An interparticle-… the simulation results with
the corederived gas-water two-phase … The results indicated that the more developed dissolved …

… Then, various methods from the detection, identification, and warning fields were … and
performance differences among them. Methods based on machine learning and deep learning …

… results [8]. At the initial delithiation stage (0 < x < 1), the voltage plateau increased to 2.7 V,
and an evident two-phase transition process occurred from 1T-Li2NiO2 to C2/m LiNiO2. …