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CNN-Based pipeline-related artifact and damage recognition in IHC staining as preprocessing step for pathological analysis

This work proposes automated solution for artifact and damage segmentation in biomedical images using machine learning algorithms. The development process includes data preprocessing, label classification using a clustering algorithm and segmentation model. CNN architectures like YOLO and U-NET are utilized for segmentation, and K-Means and DBSC algorithms are evaluated for clustering. The outcomes include a set of data preprocessing precodures, clustering algorithm testing and results analysis, segmentation model and recommendations for further development.

Author: Taisija Kožarina

Supervisor: Jeļena Kijonoka

Degree: Bachelor

Year: 2024

Work Language: English

Study programme: Computer Science

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"Implemention of "green" logistics solutions in transport companies to ensure environmental and economic sustainability".

Today, the development of sustainability policy has a major impact on logistics and supply chains. Company managers develop innovative approaches to organizing and coordinating logistics processes so that the company minimally pollutes the environment, but operates just as quickly and with high quality."Green" logistics is perceived as an organization's contribution to sustainable development to meet the needs of future generations with low greenhouse gas emissions.This work is devoted to the study of the principles of "green" logistics organization; analyzing EU legislation, standards regarding the principles of "green" logistics in order to develop recommendations for the logistics company SIA "AG AUTO TRANS" for the implementation of environmentally friendly transportation, storage and production processes.

Author: Vadims Anetjko

Supervisor: Aleksandrs Kotļars

Degree: Professional Bachelor

Year: 2024

Work Language: Latvian

Possibilities of introducing the principles of sustainable development into the company's marketing concept

In the first chapter the basic principles of sustainable development in business will be described, as well as a role of marketing in its realization, how it affects the company, how they are connected. What challenges while implementing sustainable development the company can meet, how it affects it and how they correspond each other.The second chapter is going to be focused on the clothing retail in Latvia, what is the geographic distribution of it, how it is structured. What features Latvian companies use, in order to attract customers. And how now the consumer understand the word sustainability, how they understand the importance of it. The third chapter will provide the basic information and the history of the company. How well the company is competitive in comparison with other companies. How the company is familiar with principles of sustainable development and how the company applies them.The fourth chapter will be about the defining project goals for company, how “APRANGA” company can plan an implementation of sustainable development principles into the marketing concept. Will try to formulate the new marketing concept with a consideration of sustainable development principles.

Author: Valērija Isajeva

Supervisor: Oksana Skorobogatova

Degree: Bachelor

Year: 2024

Work Language: English

Study programme: Business and Management

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Aspects of the modern frameworks of employment

The first part of the thesis considers the concept of variations in aspects of modern employment and its peculiarities. In addition, the genesis of the most important historical events that changed the history of global employment is provided.The second part of the thesis describes the concept of hybrid employment, its meaning, and its role in modern employment.The third part of the thesis examines the general use of hybrid employment models by employers in Latvia. In addition, relying on expert data, a decision-making method using already existing data processing methods. The data obtained in the work are used to conclude the application of the hybrid work method in Latvia to improve the experience of both employers and employees in this field.

Author: Valērija Makšanova

Supervisor: Veronika Siliņeviča

Degree: Bachelor

Year: 2024

Work Language: English

Study programme: Business and Management

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Research on Software Development Aspects Using node.js Technology

To explore the aspects of software development, an application was created using Node.js and NestJS to build a REST API. This API integrates Google Natural Language AI to analyze submitted user reviews. The application includes multiple REST API endpoints that can process, analyze, and aggregate user review data. Performance measurements were conducted, analyzing event loop latency, memory and CPU usage, and other key metrics. MongoDB was used for data storage. The work also includes API and its performance evaluation. The system was tested to ensure it meets the set criteria and provides practical application.

Author: Valērijs Sergejevs

Supervisor: Mihails Savrasovs

Degree: Bachelor

Year: 2024

Work Language: English

Study programme: Computer Science

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