Domain-transfer learning is a machine learning task to explore a source domain data set to help the learning problem in a target domain.Usually, the source domain has sufficient labeled data, while the target domain does not.In this paper, we propose a novel domain-transfer convolutional model by mapping a target domain data sample to a proxy in th
Vertebrate tracks are subject to a wide distribution of morphological types.A single trackmaker may be associated with a range of tracks reflecting individual pedal anatomy and behavioural kinematics mediated through substrate properties which may vary both Chino Trousers in space and time.Accordingly, the same trackmaker can leave substantially di
Following a request from the Manenberg community a domiciliary physiotherapy programme was established in order to improve the quality of life of the severely disabled persons and their caregivers living in the area.Emphasis was placed on the community development Musical Toys process to encourage the participants to take responsibility for their o
Precast reinforced concrete includes a special category of building materials that aim at fast execution, low cost, and high quality.Although there is disagreement about the cost and quality of the geopolymer, its speed in execution would still be advantageous in relation to Portland.Geopolymer cements are being identified as a new class of low env