As the capabilities of information technologies develop, the effectiveness of using the capabilities of CNN convolutional neural networks, an algorithm with a high level of accuracy, and early prediction of various diseases in blood cell images is high. This study proposes an effective method for early detection of acute lymphoblastic leukemia in blood cell images using Support Vector Machines (SVM) algorithm. In this method, a pattern of cells is recognized and used to identify cell markers specific to leukemia. This algorithm is used to match leukemia to a single marker in the cell image. Comparing SNN convolutional neural network algorithms with random forest (RF), Bayesian classifier, Support Vector Machines (SVM) and K nearest neighbor (KNN) algorithms, the results obtained by Support Vector Machines (SVM) were found to be 90.9% efficient.
| Mualliflar | Искандарова, Сайёра, Тулаганова, Фотима, Акбарова, Мохидил, Хаитов, Хайрулло |
|---|---|
| Jurnal | Рақамли технологияларнинг назарий ва амалий масалалари |
| Nashr sanasi | 2024-05-28 |
| Jild | 7 |
| Son | 2 |
| Betlar | 27-33 |
| Til | Ingliz |
| DOI | 10.62132/ijdt.v7i2.177 |
DOI: 10.62132/ijdt.v7i2.177 · Maqolaning asl sahifasi
случайный лес, байесовский классификатор, машины опорных векторов, K ближайший сосед, random forest, Bayesian classifier, Support Vector Machines, K nearest neighbor
The article considers the formulation of the problem of a two-criterion deterministic problem of the placement and specialization of agricultural production based on the degree of salinity of irrigated lands. The target…
A related conjugate problem is to ensure that industrial facilities are optimally located throughout a region, taking into account global and local sanitary standards. The main parameters for the spread of harmful…
The article develops a mathematical model describing the system of differential equations in private derivatives, for the study of the unspecified filtering of groundwater in a three-layer layer and its analytical…
The development of artificial intelligence in medicine in Iraq indicates the increasing need for this new idea to be taught to medical students. The objective of such research study having this specific interest is to…
In this paper, among the 10 nonlinear representations used in the final stage of the NIST LWC competition, those presented in the form of S boxes are analyzed to meet the general cryptographic requirements. The results…
Before moving on to a discussion of fractal shapes, it is necessary to indicate some basic properties of fractals and their significance for the field of natural geography. It is known that fractals have very complex…
The article discusses approaches to text recognition based on artificial intelligence algorithms. Since text language identification is a classification problem in artificial intelligence, the article examines the…
The article investigates the asymptotics of self-similar solutions of a nonlinear system of cross-diffusion with nonlocal boundary conditions and a source. The main results of the work include obtaining the leading term…
This article reviews effective facial emotion recognition methods using convolutional neural networks and deep learning methodologies. While we cover the ins and outs of building and training a convolutional neural…
The article examines the problems of constructing a model of recognition operators in conditions of a large dimension of the feature space. To solve this problem, an original approach based on local decision-making is…
Рақамли технологияларнинг назарий ва амалий масалалари — barcha maqolalar