16.05.2019  |  Time: 18:00-12:00  |  NUUz, Tashkent  |  Conference Room 320, Block C

Coordinator: Dr. Arriel Benis (HIT)

Data Science, the new melting pot – Dr. Arriel Benis 

Abstract

TBD.

Structure Choice for Relations between Objects in Metric Classification Algorithms –
Prof. Ignatyev Nikolay Aleksandrovich

Abstract

We analyze the cluster structure of learning samples, decomposing class objects into disjoint groups. Decomposition results are used for the computation of the compactness measure for the sample and its minimal coverage by standard objects. We show that the number of standard objects depends on the metric choice, the distance to noise objects, the scales of the feature measurements, and nonlinear transformations of the feature space. We experimentally prove that the set of standards of the minimal coverage and noise objects affect the algorithm generalizing ability.

Stochastic and deterministic methods for calculating generalized estimates of objects –
Prof. Madrakhimov Shavkat Fayzullayevich

Abstract

Considered are the stochastic and deterministic methods for calculating the generalized estimates of the class of objects in a sample in a two-class pattern recognition problem. A comparative analysis of the two methods is given. It is proposed to use the values of the generalized evaluation of the object as the value of the membership function in fuzzy logic. 

The methodology of searching the regularities in object’s own space – Saidov D.Yu., Lolaev M.

Abstract

In this paper considered the problem of determining objects own features space. To find objects own features space used nonlinear mapping the object description on numerical axis. The rules of  agglomerative hierarchical grouping of different - type (nominal and quantitative) features allows to reduce the dimensionality of space and to form objects own features space at the same time. The relationship between the objects builds by own features space of each object.

Classification of documents in relation to their connectedness – Tuliev Ulugnek Yuldashevich

Abstract

Documents as an object have their multidimensional feature space and documents which belong to the same subject area can be connected to each other based on some kind of relation. Finding this relation of connectedness can help to make a decision in classification. In this work, problem of searching such kind of relations among different documents is considered.

Electric vehicle routing problem with temporal and spatial constraints – Dr. Azizbek Ruzmetov

Abstract

One of the main impact of charging acceleration on the scheduling, assignment and charging process of Electric vehicles (EVs) is an existing amount of EV energy and  EV routing problem (EVRP)  as well as. In the work, the EVRP will be introduced with temporal and spatial constraints and energy consumption of EVs. Furthermore, charging and discharging times of the EVs will be integrated into the formal model.

Nanomedicine is a Future Medicine – Dr. Renat R. Letfullin

Abstract

Nanomedicine is the use of nanoparticles in medical practice for improving imaging,
drug delivery and therapy. In this presentation, we introduce the nanomedicine science
and briefly discuss its applications in cancer diagnosis and treatment. The application of
nanotechnology for thermal-based killing of abnormal cells (e.g., cancer cells) targeted
with absorbing nanoparticles (e.g., gold solid nanospheres, nanoshells or nanorods) is
becoming an extensive area of research. We discuss new nanomedicine technology called
selective nanophotothermolysis, which exploit the strong light absorption properties of
nanoparticles to generate heat in the body. Nanoparticles can be combined with cancertargeting
molecules, allowing the nanoparticles to be accumulated on the unhealthy cells
only. When the radiation is turned on, these nanoparticles, which are strong radiation
absorbers, heat up much more quickly than any of the surrounding tissues.
Nanophotothermolysis seeks to create high temperatures on tumor site in very short
timescales in order to actively destroy cell membranes and physically damage the cancer
cells beyond repair.