migration and quality of redistribution of population across country is one of the main factors that planners take into account to control population and guide its movements to economic poles. scientific recognition of migration phenomenon is important for managing and policy making in the country. these movements change migration pattern, in a way that along with increase in population and the...

Spatial allocation is the process of assigning different attributes (e.g., land-use or land-cover) to spatial entities (e.g., map polygons or grid cells). It is an exercise that often requires the analysis of multiple, sometimes conflicting, objectives. Multi-objective spatial allocation problems often exhibit substantial computational complexity, especially when spatial pattern characteristics...

Corrosion of modular taper junctions of hip implants may be associated with clinical failure. Taper design parameters, as well as the intraoperatively applied assembly forces, have been proposed to affect corrosion. Fretting corrosion is related to relative interface shear motion and fluid ingress, which may vary with contact force and area. It was hypothesised in this study that assembly force...

We propose a simultaneous spatiotemporal filter optimization algorithm for the single trial ElectroEncephaloGraphy (EEG) classification problem. The algorithm is a generalization of the Common Spatial Pattern (CSP) algorithm, which incorporates non-homogeneous weighting of the crossspectrum matrices. The spectral weighting coefficients and the spatial filter are alternately updated. The validat...

Remote imaging at high spatial resolution has a number of environmental, industrial, and military applications. Analysis of high-resolution multi-spectral images usually involves either spectral analysis of single pixels in a multi-or hyper-spectral image or spatial analysis of multi-pixels in a panchromatic or monochromatic image. Although insuucient for some pattern recognition applications i...

Asynchronous Parallel Evolutionary Algorithms (HAPEAs) have shown to be robust as they require no derivatives or gradients of the objective function, have the capability of finding globally optimum solutions amongst many local optima, can be executed asynchronously in parallel and adapted easily to arbitrary solver codes without major modifications. The application of the methodology is illustr...

Abstract One of the challenges in using integrated optical biosensors is their ability to operate environments outside laboratories. This occurs, among other reasons, because suitable source coupling components are not considered at design stage. In this work, a highly selective, compact and efficient in-coupling method proposed with aim develop genuine Point-of-care (PoC) platform. The configu...

With the rapid development of deep learning, generating realistic fake face videos is becoming easier. It common to make news, network pornography, extortion and other related illegal events using forgery. In order attenuate harm forgery video, researchers proposed many detection methods based on tampering traces introduced by However, these generally have poor cross-database performance. There...