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Assessment of road traffic losses during the modernization of a specific road section

Object-the impact of the organization of road traffic on safety.Subject-a change in the conditions of movement, upgrading a specific section of the road.Objective-to assess the effectiveness of the modernization of the intended section of the road.I carried out an analysis of the flow of the particular intersection of Pardaugava, Daugavgriva and Bululi and proposed a modernization option to reduce congestion, as well as carried out an analysis and assess the losses associated with the modernization of this section of the road.Terms of reference:Assess the impact of road infrastructure on road safety and possible losses in road traffic.Choose the planned stage of modernization.Describe the modernization of the planned stage, the reasons and the characteristics of the changes made.Assess road traffic losses after modernization.Concludui:Total throughput increases by 72.4%.The percentage increase in movement Time is 62.5%

Author: Jana Rihtere

Supervisor: Aleksandrs Medvedevs

Degree: Professional Bachelor

Year: 2025

Work Language: Latvian

Study programme: Transport and Logistics

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Possibilities of logistics performance improvement in transport company

Logistics is the management of the flow of materials, information and resources from their place of origin to the place of their consumption in order to meet the needs of customers. This process shall include the planning, implementation and control of the efficient and economical movement and storage of goods, services and related information from the place of origin to the place of consumption.The main functions of logistics are:Transport: selection and management of vehicles for the movement of goods. This may include road, rail, sea and air transport.

Author: Jekaterīna Novikova

Supervisor: Aleksandrs Kotļars

Degree: Professional Bachelor

Year: 2024

Work Language: Latvian

DIGITAL MARKETING STRATERGIES FOR THE RESORT AND RESTAURANT BUSINESS

Bachelor work „Development of Digital Marketing Activities for "The Thinnai".”. Writer of the paper: Jesuthasan Jacksayan. Scientific supervisor: Mg. oec., assistant professor Olga Zervina. Paper for obtaining the degree „Business and Management”: 54 pp., 22 Figures, 3 tables, 32 ref., 1 app. DIGITAL MARKETING, RESORT, TOURISM AND HOSPITALITY INDUSTRY This research aimed the development of digital marketing activities for a resort establishment in the tourism and hospitality industry of Sri Lanka. Due to the rapid changes in consumer behaviour and incoming of competitors in the hotel industry, the hotels must uti-lize and implement digital marketing movements to effectively reach the potential consum-er base. The study investigates overall outlook and ongoing circumstances in the tourism and hospitality industry of Sri Lanka. Use the research methods including best practices comparison and Survey, the Writer aims to identify and suggest digital marketing activities for the resort to improve engagement with its consumers and drive more sales through en-hancement of its online presence and digital marketing efforts.

Author: Jesuthasan Jacksayan

Supervisor: Olga Zervina

Degree: Bachelor

Year: 2025

Work Language: English

Study programme: Business and Management

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Unsupervised machine learning approach for hierarchical graph-based representation of natural language text collections.

Managing big data efficiently is important in various fields, much so when data consists of human-written documents. Recent advances in Natural Language Processing (NLP), particularly LLMs, allowed to solve many task in this domain, despite the high demand for labelled data, compute resources and specialized skills.To tackle these limitations, current study proposed a NLP pipeline to identify topic hierarchies in collections of scientific publications. The work focused on evaluation of available unsupervised machine learning methods and quality metrics in NLP, and development of visualization techniques to build a prototype of the pipeline.Proposed solution is based on the hARTM approach optimized for interpretability. It demonstrated the capacity to infer human-interpretable topic hierarchies from collections of scientific texts and construct meaningful hierarchy of topic-based document representations. The visualization approaches rely on MDS to present inter-document similarity and Sankey plots to show document cluster relatedness within topic hierarchy.Utility was demonstrated on two datasets, focusing on interpretability and meaning of the topic hierarchy and associated topic definitions. Potential application areas include personal education and scientific writing.

Author: Jevgenijs Bodrenko

Supervisor: Irina Jackiva

Degree: Master

Year: 2024

Work Language: English

Study programme: Computer Sciences

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The automated business processes integration and their impact on SMEs in Latvia

This thesis investigates the integration of automated business processes within SMEs (small and medium-sized enterprises) in Latvia's fintech sector, focusing on identifying specific challenges and opportunities. It emphasizes the role of automation in enhancing operational efficiency and enabling SMEs to allocate more resources to strategic and innovative tasks. The research has developed a conceptual framework and provides practical recommendations to assist SMEs in effectively integrating automated processes. The first chapter reviews digital transformation (DT) and business process automation (BPA), including robotic process automation (RPA). The next chapters focus on the survey and interview analysis using the Analytic Hierarchy Process (AHP) and Domain Mapping Matrix (DMM) methods. The fourth chapter presents a business case for integrating BPA in SMEs with examples and discussions on implications. Chapter five introduces a framework for future BPA initiatives and offers practical recommendations for companies integrating BPA.Key findings indicate that while automation offers substantial efficiency and cost-reduction benefits, its practical implementation requires carefully crafted strategies tailored to SMEs' needs.

Author: Jevgeņija Fatunova

Supervisor: Soltani Mohammad

Degree: Master

Year: 2024

Work Language: English

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