Collagen-based devices are frequently associated with foreign body response. Although several pre- (e.g. species, state of animal, tissue, isolation protocol) and post- (e.g. cross-linking, scaffold architecture, sterilisation) ...

Bone tissue engineering is a promising field with the potential to generate tissue substitutes, by taking advantage of mesenchymal stem cells ability to grow and produce tissue substitutes under specific physical conditions. ...

The solution of marine contaminant transport problems is a significant research topic in civil engineering. Typically, the problem is represented as a partial differential equation described by the non-stationary, ...

In recent years the Deep Neural Networks (DNN) has been using widely in a big range of machine learning and data-mining purposes. This pattern recognition approach can handle highly nonlinear problems. In this work, ...

Reduction of greenhouse gas emissions and energy use is necessary to stop the progress of climate warming, which may have a serious impact on the human environment and the ecosystem. To achieve this reduction, it is essential ...

Entities such as people, locations, organizations play a key role in natural language understanding. Most of the approaches that deal with natural language processing tasks, require a method to measure the relatedness ...

Microwave imaging is an emerging imaging modality for the early detection of breast cancer. Early-time artifact removal and imaging algorithm are the two most important signal processing components of any Confocal Microwave ...

This thesis aims to examine and investigate methods that could potentially utilize images captured by consumer cameras such as smartphones to estimate depth and generate a 3D structure. After more than a century of ...

Evolutionary neural networks combine two of the most powerful areas of computing, evolutionary algorithms and neural networks. There are a number of benefits of using evolutionary algorithms to train a network over traditional ...

Recent trends towards data-driven methods may require a substantial rethinking of the process of developing simulation models. For instance, Machine Learning (ML) has demonstrated great potentials for constructing new ...