This study proposes design concepts for a comprehensive home financial learning environment that individual investors can use as a reference in establishing web-based learning and investment platforms. This study also introduces a hybrid approach that demonstrates a data mining function of the financial learning environment. Known as Fuzzy BPN, this approach is comprised of backpropagation neur...

Gene expression data are the number of training samples is very small compared to the large number of genes involved in the experiments, that gene selection results, the cost of biological experiment and decision can be greatly reduced by analyzing only the marker genes. Since dealing with high dimensional data is computationally complex and sometimes even intractable, recently several feature ...

In autonomous vehicles (AVs), LiDAR point cloud data are an important source to identify various obstacles present in the environment. The labeling techniques that currently available based on pixel-wise segmentation and bounding boxes detect each object road. However, Avs’ decision motion control trajectory path planning depends interaction among objects ability of Avs understand moving non-mo...

MR0148075 (26 #5584) 57.10 Kervaire, Michel A.; Milnor, John W. Groups of homotopy spheres. I. Annals of Mathematics. Second Series 77 (1963), 504–537. The authors aim to study the set of h-cobordism classes of smooth homotopy n-spheres; they call this set Θn. They remark that for n = 3, 4 the set Θn can also be described as the set of diffeomorphism classes of differentiable structures on S; b...

Artificial neural networks (ANN’s) have been successfully used for solving a wide variety of problems. However, determining a suitable set of structural and learning parameter values for an ANN still remains a difficult task. This article is concerned with the robust design of multilayer feedforward neural networks trained by backpropagation algorithm (Backpropagation net, BPN) and develops a s...

Biphosphonate (BPN) are widely used in clinics to treat metastatic cancer and osteoporosis thus representing a problem not only for patients but also for workers involved in their preparation and administration. A similar exposure occurred years ago in match-making workers undergoing bone alterations similar to those consequent to BPN exposure. Osteonecrosis of the jaw (ONJ) is a main adverse e...

Corresponding Author: Soo See Chai Department of Software Engineering and Computing, Faculty of Computer Science and Information Technology, University of Malaysia Sarawak (UNIMAS), 94300, Kota Samarahan, Sarawak, Malaysia Email: [email protected] Abstract: Rainfall is one of the important weather variables that vary in space and time. High mean daily rainfall (>30 mm) has a high possibility...

This paper presents an automatic approach to detect epileptiform discharges (ED) in electroencephalogram (EEG). On the algorithm we utilized back-propagation artificial neural network (BPN) to detect ED. We train BPN respectively for each patient and induce parameter k to determine a threshold value. The result shows that the algorithm can determine presence or absence of ED automatically, and ...

inhibiting subtilisin BPN'. This paper describes purification and characterization of a subtilisin inhibitor (FMSI) from foxtail millet grain. Protein was measured by the method of Lowry et al.2) using bovine serum albumin as a standard. Protein concentrations of enzyme solutions were measured spectrophotometrically with extinction coefficients as described previously.3) The concentration of St...