Deep convolutional neural network applied to Trypanosoma cruzi detection in blood samples
- André S. Pereira,
- Leonardo O. Mazza,
- Pedro C.C. Pinto,
- José Gabriel R.C. Gomes,
- Nadia Nedjah,
- Daniel F. Vanzan,
- Alexandre S. Pyrrho,
- Juliana G.M. Soares
Standard diagnosis of Chagas disease, during its acute phase, is based on Trypanosoma cruzi visualisation through microscopy applied to peripheral blood slides. We apply MobileNet V2 convolutional layers to image tiles from acute-phase peripheral blood ...
A new multi-objective artificial bee colony algorithm based on reference point and opposition
A new multi-objective artificial bee colony (ABC) algorithm based on reference point and opposition (called ROMOABC) is proposed in this paper. Firstly, the original framework of ABC is modified to improve the efficiency of population renewal and ...
Computationally efficient hybrid differential evolution with learning for engineering application
Differential evolution (DE) is popular as an optimisation technique for its ability to achieve a globally optimal solution in a non-convex fitness landscape. However, convergence rate of DE is still unsuitable for real-time applications. Hence, a new ...
An improved Physarum polycephalum algorithm for the Steiner tree problem
In this paper, we present an improved algorithm based on the Physarum polycephalum model (PPM) to solve Steiner tree problem (STP). We use the improved method to calculate the minimum Steiner tree according to the faster convergence speed and higher ...
Spatial information sampling: another feedback mechanism of realising adaptive parameter control in meta-heuristic algorithms
This paper innovatively proposes a spatial information sampling strategy to adaptively control the parameters of meta-heuristic algorithms (MHAs). The solutions' spatial distribution information in current iterations is used to control the parameters in ...
Modelling, simulation and optimisation of medical enterprise warehousing process based on FlexSim model and greedy algorithm
With the modern logistics gradual transformed from labour-intensive to technology-intensive industry, artificial intelligence technology is widely used in logistics scheduling optimisation. As the warehouse management is one of the most important ...