Active learning and transfer learning are two different methodologies that address the common problem of insufficient labels. Transfer learning addresses this problem by using the knowledge gained from a related and already labeled data source, whereas active learning focuses on selecting a small set of informative samples for manual annotation. Recently, there has been much interest in develop...

Active Learning has been applied in many real world classification tasks to reduce the amount of labeled data required for training a classifier. However most of the existing active learning strategies select only a single sample for labeling by the oracle in every iteration. This results in retraining the classifier after each sample is added which is quite computationally expensive. Also many...

A shortcut procedure as quick, easy-to use method for design and simulation of multicomponent batch distillation is used to predict the operating condition of recovering xylene from solvent in an existing batch distillation column in benzol refinery. The procedure can be used to investigate the effect of the operating parameters on the operation of column for three possible modes of batch d...

Lab scale studies were conducted in a customized photobioreactor to assess the lipid productivity of Chlorella pyrenoidosa under fed-batch mode using 0.025g/l to 0.1 g/l urea and sodium nitrate as nitrogen source in nutrient medium. The light intensities used were 100 μmol ms and 135 μmol ms. The results indicated maximum lipid productivity of 0.103 g/d.l in BG11 medium with 0.1g/l sodium nitra...

This paper deals with unsupervised model adaptation for speaker recognition. Two adaptation schemes are proposed, the first one is based on a test by test model adaptation and the second one proposes a batch mode, where the adaptation is performed using a set of tests before computing the decision score for each of them. The experiments are conducted thanks to the NIST SRE 2005 database. This p...

This paper deals with unsupervised model adaptation for speaker recognition. Two adaptation schemes are proposed, the first one is based on a test by test model adaptation and the second one proposes a batch mode, where the adaptation is performed using a set of tests before computing the decision score for each of them. The experiments are conducted thanks to the NIST SRE 2005 database. This p...

The effect of different pretreatment methods, temperature, and enzyme concentration on ethanol production from 8 lignocellulosic agrowaste by simultaneous saccharification and fermentation (SSF) using recombinant cellulase and Saccharomyces cerevisiae were studied. Recombinant cellulase was isolated from E. coli BL21 cells transformed with CtLic26A-Cel5-CBM11 full-length gene from Clostridium t...

The focus of this work is to revise for semi-batch and continuous operations, the model equations of a seeded batch cooling crystallisation of α-lactose monohydrate. A case study of evaporative semi-batch operation is also included for reference as models of cooling and heating are not much different. In order to achieve the highest yield, dynamic optimisations must be performed on these models...

Metal alloys have material properties that are very appealing for micro electro mechanical systems (MEMS), but present a challenge for process integration within a lithographic manufacturing sequence of the type used in the semiconductor industry. The batch-mode micro electrodischarge machining (μEDM) discussed here uses lithographically-fabricated electrode arrays with high density and high un...