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Development Trends And Priority Research Fields Of Electrochemical Discipline In The 15th Five Year Plan Period, Lin Zhuang, Wen-Bin Cai, Heng-Xing Ji, Qing Li, Gong-Wei Wang, Sen Xin, Qing Zhao, Fang-Yi Cheng, Yu-Guo Guo, Lan-Qun Mao, Yang Tian, Fei Wu, Li-Min Zhang, Yan Xiang, Jin-Song Hu, Rui Cao, Li Xiao, Hua-Bing Tao, Wei Xing, Dong-Ping Zhan, Hong-Gang Liao, Mei-Ling Xiao, Bin Ren, Zhang-Quan Peng, Rui Wen, Xiang Wang, Yue-Feng Song, Hou-Fu Lv, Bao-Yu Xia, Guo-Xiong Wang, Jun Cheng, Zhi-Pan Liu, Min Zhou, Bing Huang, Cun-Pu Li, Yu-Qin Zou, Shuang-Yin Wang, Hai-Bo Lin, Zi-Dong Wei Oct 2025

Development Trends And Priority Research Fields Of Electrochemical Discipline In The 15th Five Year Plan Period, Lin Zhuang, Wen-Bin Cai, Heng-Xing Ji, Qing Li, Gong-Wei Wang, Sen Xin, Qing Zhao, Fang-Yi Cheng, Yu-Guo Guo, Lan-Qun Mao, Yang Tian, Fei Wu, Li-Min Zhang, Yan Xiang, Jin-Song Hu, Rui Cao, Li Xiao, Hua-Bing Tao, Wei Xing, Dong-Ping Zhan, Hong-Gang Liao, Mei-Ling Xiao, Bin Ren, Zhang-Quan Peng, Rui Wen, Xiang Wang, Yue-Feng Song, Hou-Fu Lv, Bao-Yu Xia, Guo-Xiong Wang, Jun Cheng, Zhi-Pan Liu, Min Zhou, Bing Huang, Cun-Pu Li, Yu-Qin Zou, Shuang-Yin Wang, Hai-Bo Lin, Zi-Dong Wei

Journal of Electrochemistry

In fulfillment of the national science-and-technology development agenda, the Department of Chemical Sciences of the National Natural Science Foundation of China (NSFC) convened the Strategic Symposium on the Fifteenth Five-Year (2026–2030) Development Plan for Electrochemistry held in Xiamen on 29 August, 2025—the culminating year of the Fourteenth Five-Year (2021–2025) Development Plan. More than forty leading experts in the field of electrochemistry participated with spanning nine thematic fronts: Interfacial Electrocatalysis, Interfacial Electrochemistry for Energy Storage, Bioelectrochemistry, Electrochemistry of Hydrogen Energy, Electrochemical Micro-/Nano-Manufacturing, Operando Electrochemical Characterization, Electro-Thermal Coupling Catalysis, Theoretical and Computational Electrochemistry, and Electrochemical Synthesis. The forum assembled China’s foremost electrochemical …

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Crack Propagation Behavior Of Polyurethane Grouting Sma Asphalt Mixtures, Ji Guoqi, Ma Hui, Zheng Junqiu, Huang Yujie Oct 2025

Crack Propagation Behavior Of Polyurethane Grouting Sma Asphalt Mixtures, Ji Guoqi, Ma Hui, Zheng Junqiu, Huang Yujie

Journal of China & Foreign Highway

To reveal the influence me chanis m of polyurethane grouting on the crack propagation behavior of SMA-13 asphalt mixtures, this paper first conducted a semi-circular bending (SCB) test to validate the effectiveness of the PFC2D discrete element model, which was employed to simulate the microscopic responses of mixtures under different notch positions and grouting conditions. The analysis focused on load-displacement curves, crack propagation paths, crack number evolution, and force chain distribution characteristics. The results indicate that polyurethane grouting significantly increases the peak load and peak displacement of the specimens, thereby enhancing the fracture load-bearing capacity and deformation tolerance, with the …

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Robust Pid Control Of A 2 Dof Robotic Arm Actuated By Permanent Magnet Dc Motors: Lyapunov’S Stability Analysis And Simulation Results, Erik Chumacero-Polanco Oct 2025

Robust Pid Control Of A 2 Dof Robotic Arm Actuated By Permanent Magnet Dc Motors: Lyapunov’S Stability Analysis And Simulation Results, Erik Chumacero-Polanco

Informatics and Engineering Systems Faculty Publications

We present a robust PID control for a 2 DoF exoskeleton actuated by permanent-magnet direct current (PMDC) motors. The control design exploits the architecture of the exoskeleton’s dynamical model, which is regarded as the interconnection of a mechanical and an electrical subsystems. The inner loop control for the mechanical subsystem uses robust PID control while the outer control loop uses a model-based control for the electrical subsystem. Lyapunov’s second method is used to show asymptotic stability of the position and velocity tracking error equilibrium point. Asymptotic stability in Lyapunov sense is proved in a twofold procedure. First, it is shown …

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International Conference On Civil Engineering And Infrastructure, University For Business And Technology (Ubt) In Kosovo Oct 2025

International Conference On Civil Engineering And Infrastructure, University For Business And Technology (Ubt) In Kosovo

UBT International Conference

UBT Annual International Conference is the 14th international interdisciplinary peer reviewed conference which publishes works of the scientists as well as practitioners in the area where UBT is active in Education, Research and Development. The UBT aims to implement an integrated strategy to establish itself as an internationally competitive, research-intensive university, committed to the transfer of knowledge and the provision of a world-class education to the most talented students from all background. The main perspective of the conference is to connect the scientists and practitioners from different disciplines in the same place and make them be aware of the recent …

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Generating Arithmetic And Geometric Sequences In Java: A Mathematical Approach, Anjesa Gashi, Hizer Leka Oct 2025

Generating Arithmetic And Geometric Sequences In Java: A Mathematical Approach, Anjesa Gashi, Hizer Leka

UBT International Conference

This paper demonstrates how mathematical sequences, particularly arithmetic and geometric sequences, can be implemented in programming using Java arrays. In mathematics, sequences are ordered sets of numbers following a specific pattern, whereas in computer science, these sequences can be implemented as arrays. The main goal is to show the similarities between mathematics and programming. A simple Java program generates arithmetic and geometric arrays automatically, allowing students to visualize patterns and understand how to apply mathematical principles in code. This paper explains the process of writing the Java program and provides examples of output arrays. This approach solidifies the understanding of …

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Traınıng And Development Of Varıous Open-Source Artıfıcıal Intellıgence Models For Busıness Process Automatıon, Senada Bushati Hoxha, Besmir Guma Oct 2025

Traınıng And Development Of Varıous Open-Source Artıfıcıal Intellıgence Models For Busıness Process Automatıon, Senada Bushati Hoxha, Besmir Guma

UBT International Conference

AI is reshaping traditional businesses into sustainable operations, so it can be used to optimize resource utilization, automate processes for improved efficiency This study aims to explore the potential of open-source artificial intelligence (AI) models for automating and streamlining business processes. Focusing on a company offering a wide range of digital services (websites, applications, ERP, CRM, marketing), the study develops and trains two different AI models, specific to the needs of the business. The main goal is to create an AI “agent” that can interpret natural language commands and activate pre-configured automations through the n8n platform. These automated operations include …

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Data Science Against Human Trafficking: Evidence From North Macedonia, Krenar Mehmeti, Shkurte Luma Osmani, Florinda Imeri, Agon Memeti Oct 2025

Data Science Against Human Trafficking: Evidence From North Macedonia, Krenar Mehmeti, Shkurte Luma Osmani, Florinda Imeri, Agon Memeti

UBT International Conference

Human trafficking is a severe yet often underreported crime in North Macedonia. With the rapid growth of technology and communication platforms, traffickers have shifted recruitment and exploitation strategies online. This project explores the patterns and trends of human trafficking in Republic of North Macedonia through and through the lens of using Data Mining and Different visual analytics. By using a structured dataset containing Victim demographics, the types of exploitation, recruitment methods and other different attributes, the analysis is Focused on identifying vulnerable groups, especially the individuals of age 18-25 and underage minors. Advanced visualizations have revealed the distribution of trafficking …

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The Challenges Of The Digital Transformation Of A Hospital According To The Trends Of Innovative Technological Development, Vehebi Sofiu, Faton Kabashi, Lamir Shkurti, Mirlinda Reqica, Mirlinda Selimaj, Greta Ahma Oct 2025

The Challenges Of The Digital Transformation Of A Hospital According To The Trends Of Innovative Technological Development, Vehebi Sofiu, Faton Kabashi, Lamir Shkurti, Mirlinda Reqica, Mirlinda Selimaj, Greta Ahma

UBT International Conference

This research discusses the process of managing and digitally transforming a hospital by integrating advanced technologies. The focus of this transformation is patient care and the protection of institutional data through the implementation of Block chain technology to enhance security measures. The goal of this topic is to take preventive measures against information security breaches and cyber threats. The transformation model addresses institutional deficiencies in managing healthcare information and patient records through electronic records. Additionally, it advances technological development to align the use of artificial intelligence with medical care infrastructure. This technology enables training for staff involved in hospital communication, …

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Cogeneration Of Energy, Marigona Krasniqi Oct 2025

Cogeneration Of Energy, Marigona Krasniqi

UBT International Conference

Cogeneration is the process of producing electricity and thermal energy at the same time. Generating energy through this process means using only one energy source, which results in higher energy efficiency. In the energy crisis the world is facing, cogeneration is being considered as a promising alternative for reducing environmental pollution, increasing energy security, supporting the energy transition and economic stability. This paper will describe the cogeneration process and its role in the energy sector, how cogeneration affects energy efficiency and what are the main benefits of this process.

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The Use Of Artıfıcıal Intellıgence For Fake News Detectıon, Altina Salihu, Diellza Berisha Oct 2025

The Use Of Artıfıcıal Intellıgence For Fake News Detectıon, Altina Salihu, Diellza Berisha

UBT International Conference

The phenomenon of fake news has become a global concern, directly influencing democratic processes, social perceptions, and public security. Detecting fake news represents a critical challenge for computer science, where Artificial Intelligence (AI) offers advanced solutions through Natural Language Processing (NLP) and text classification techniques. This paper analyzes and compares the main approaches used in this field, ranging from traditional machine learning models such as Naive Bayes and Support Vector Machines (SVM) to modern deep learning architectures like Long Short-Term Memory (LSTM), BERT, and GPT-based models. Furthermore, it discusses widely adopted datasets such as FakeNewsNet and LIAR, which serve as …

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An Empirical Analysis Of Requirements For An Automated Elearning Platform: The Case Of Teachers In Kosova, Bleona Çitaku, Faton Kabashi, Lamir Shkurti, Mirlinda Selimaj Oct 2025

An Empirical Analysis Of Requirements For An Automated Elearning Platform: The Case Of Teachers In Kosova, Bleona Çitaku, Faton Kabashi, Lamir Shkurti, Mirlinda Selimaj

UBT International Conference

This paper examines the need for developing an automated e-learning platform that supports adaptive learning for students in Kosovo. Using a mixed-methods approach—both quantitative and qualitative—the responses of 50 teachers were analyzed to understand their perceptions and the challenges associated with using platforms such as Google Classroom, Moodle, and Zoom. The findings indicate that, although there is significant potential to enhance teaching practices, key obstacles remain, including low student engagement and technological difficulties. The study suggests the development of a personalized platform powered by artificial intelligence to improve student participation and the overall effectiveness of distance learning.

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Exploring Patterns And Growth In Motor Vehicle Registrations Through Data Visualization, Ensar Krasniqi, Shkurte Luma Osmani, Florim Idrizi, Ermira Memeti Oct 2025

Exploring Patterns And Growth In Motor Vehicle Registrations Through Data Visualization, Ensar Krasniqi, Shkurte Luma Osmani, Florim Idrizi, Ermira Memeti

UBT International Conference

This research examines the patterns and trends of motor vehicle registrations in North Macedonia's municipalities between 2012 and 2023. The analysis, which breaks down vehicle types by year, includes motorcycles, passenger cars, buses, and freight vehicles. Every year, the data is arranged into blocks of nine columns, each of which includes comprehensive information for each town. Finding significant insights, such as growth patterns, changes in the popularity of particular vehicle types, and geographical variations, is the aim of this investigation. The project provides a thorough understanding of the evolution of automobile registrations in the nation over time by processing and …

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Prime Numbers Through The Ages: Implementing The Sieve Of Eratosthenes In Java, Vesë Vrellaku, Hizer Leka, Alma Novoberdaliu Oct 2025

Prime Numbers Through The Ages: Implementing The Sieve Of Eratosthenes In Java, Vesë Vrellaku, Hizer Leka, Alma Novoberdaliu

UBT International Conference

The Sieve of Eratosthenes is one of the oldest yet most efficient algorithms for finding prime numbers up to a given limit. This paper presents an analytical and practical implementation of the sieve, focusing on its mathematical foundations and optimized algorithmic behavior using the Java programming language. The aim is to demonstrate how ancient mathematical logic continues to be applicable in modern computational practices. The study outlines the basic sieve method, explores three critical optimizations that reduce time complexity, and evaluates the algorithm's performance in different scenarios. Moreover, this work contrasts the classical approach with similar prime-finding algorithms and emphasizes …

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Digital Technologies For Modernizing Coal-Based Power Systems In Kosovo, Avni Alidemaj, Arbnor Lekaj Oct 2025

Digital Technologies For Modernizing Coal-Based Power Systems In Kosovo, Avni Alidemaj, Arbnor Lekaj

UBT International Conference

Proper management of electrical energy and its efficient use have gained increasing importance in recent decades due to the growing demand for energy and the need for environmental sustainability. In this context, the development of modern technologies for building automation and energy management has become an essential part of the technological transformations within the energy and construction sectors. This approach not only aims to reduce energy consumption but also contributes to creating a greener and more sustainable environment, while simultaneously enhancing safety, comfort, and control for users. This paper addresses the design and implementation of an intelligent system for energy …

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German Reddit Sentiment Analysis Using Bert And Ml Techniques, Bledi Buduri Oct 2025

German Reddit Sentiment Analysis Using Bert And Ml Techniques, Bledi Buduri

UBT International Conference

This study presents a comprehensive workflow for collecting, preprocessing, and analyzing German-language comments from Reddit for sentiment analysis. Initially, a Pythonbased scraper using the Reddit API was developed to extract topic-specific comments, which were then cleaned by removing special characters, links, and irrelevant tokens. The dataset underwent tokenization, stopword removal, and normalization using stemming and lemmatization to produce a structured corpus suitable for machine learning tasks.Sentiment classification was performed using the German BERT model (oliverguhr/german-sentimentbert), categorizing comments as positive, negative, or neutral. To further evaluate performance, vectorization techniques such as Bag-of-Words and TF-IDF were applied, followed by machine learning classifiers …

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Green Data Pipelines: Ai-Driven Energy Optimization For Sustainable Cloud Workloads, Erina Salihu, Anduena Syla Oct 2025

Green Data Pipelines: Ai-Driven Energy Optimization For Sustainable Cloud Workloads, Erina Salihu, Anduena Syla

UBT International Conference

The rapid proliferation of cloud computing workloads has intensified concerns about the high energy demand and environmental impact of large-scale data processing. As infrastructures expand, data centers now account for a growing share of global electricity consumption and carbon emissions. This study presents a green data-pipeline architecture that integrates AI-driven scheduling with advanced resource-management techniques to reduce energy use in cloud-native environments. The architecture combines modern data-engineering platforms, including Apache Airflow for workflow orchestration, Databricks (Spark) for computation, PostgreSQL as an analytical warehouse, and dbt for data transformation. It is coordinated by a reinforcement-learning agent that dynamically optimizes workload placement …

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The Role Of Artificial Intelligence In Developing Interactive And Intelligent Web Applications, Shkurte Zhegrova, Faton Kabashi, Mirlinda Selimaj, Vehebi Sofiu, Laura Gjikokaj Oct 2025

The Role Of Artificial Intelligence In Developing Interactive And Intelligent Web Applications, Shkurte Zhegrova, Faton Kabashi, Mirlinda Selimaj, Vehebi Sofiu, Laura Gjikokaj

UBT International Conference

This study explores the integration of Artificial Intelligence (AI) into web programming, a field that has been rapidly transformed by the advancement of modern technologies. AI represents not only a relatively new and revolutionary innovation but also a crucial factor shaping the future of humanity, raising both opportunities for progress and concerns about potential workforce replacement in certain domains. The research begins with an overview of the history and evolution of AI, followed by an examination of its role in optimizing processes, addressing technical challenges, and enhancing user experiences in web development. With capabilities such as processing large datasets, learning …

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Review Of Soa Transition To Microservices And Beyond, Arbnesha Berisha Qerimaj, Merita Kasa Halili, Festim Halili Oct 2025

Review Of Soa Transition To Microservices And Beyond, Arbnesha Berisha Qerimaj, Merita Kasa Halili, Festim Halili

UBT International Conference

Oriented Architectures ( SOA ) emerged as a paradigm for distributed com-putting, e-business processing and enterprise integration. The benefits of SOA are multifaceted. It provides dynamism, as new in-stances of the same service can be launched to split the load on the system. Although microservices can be seen as an evolution of SOA, they are inherently different regarding sharing and reuse. SOA is built on the idea of fostering reuse: “a share as much as possible” architecture style, whereas microservice architectures seconds the idea of a “share as little as possible” architecture style: the goal became how to build systems …

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International Conference On Computer Science And Communication Engineering, University For Business And Technology (Ubt) In Kosovo Oct 2025

International Conference On Computer Science And Communication Engineering, University For Business And Technology (Ubt) In Kosovo

UBT International Conference

UBT Annual International Conference is the 14th international interdisciplinary peer reviewed conference which publishes works of the scientists as well as practitioners in the area where UBT is active in Education, Research and Development. The UBT aims to implement an integrated strategy to establish itself as an internationally competitive, research-intensive university, committed to the transfer of knowledge and the provision of a world-class education to the most talented students from all background. The main perspective of the conference is to connect the scientists and practitioners from different disciplines in the same place and make them be aware of the recent …

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Role Of Transport Management In Workforce Wellbeing In A Time Of Green And Digital Transition, Neli Lalkovska Oct 2025

Role Of Transport Management In Workforce Wellbeing In A Time Of Green And Digital Transition, Neli Lalkovska

UBT International Conference

In the time of green and digital transition and AI invasion, human resource management needs to be transformed. New technologies optimize processes but also pose challenges as risks associated with remote work, social isolation, lack of communication, increased stress, and the need for continuous learning. This paper explores the level of awareness of rail, auto, logistics, and aviation transport management in Bulgaria to provide conditions for digital wellbeing - the physical and mental health of HR. For the study, 72 managers answered a questionnaire. A link is made between human and planetary health, climate change, and the level of green …

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Comparatıve Performance Analysıs Of Data Storage Systems (Json, Sqlıte, Postgresql) In A Log Analysıs Applıcatıon, Edison Alushaj, Alma Novoberdaliu Oct 2025

Comparatıve Performance Analysıs Of Data Storage Systems (Json, Sqlıte, Postgresql) In A Log Analysıs Applıcatıon, Edison Alushaj, Alma Novoberdaliu

UBT International Conference

In this thesis, a comparative performance analysis of different data storage systems, namely: JSON, SQLite, and PostgreSQL, has been conducted within the framework of a log analysis application. For each technology—JSON, SQLite, and PostgreSQL—the analysis will follow an identical structure. Initially, the history and the philosophy behind their creation will be examined. Subsequently, the architecture and key technical characteristics that influence performance will be detailed. The main objective of this study is to evaluate the efficiency, response time, resource utilization, and the degree of scalability of each system in various processes of log data management and analysis. The use of …

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Development Of Advanced Algorithms For Autonomous Vehicle Navigation, Liridon Hoti, Besnik Qehaja, Jeton Sllamniku Oct 2025

Development Of Advanced Algorithms For Autonomous Vehicle Navigation, Liridon Hoti, Besnik Qehaja, Jeton Sllamniku

UBT International Conference

This paper addresses the development of advanced algorithms for autonomous vehicle navigation, focusing on the creation of an intelligent platform capable of safely planning and managing vehicle movement without human intervention. The main objective is to design a functional and reliable system by applying modern artificial intelligence techniques, optimization methods, and sensor data processing (sensor fusion). The study begins with a review of the existing literature on autonomous navigation, identifying key approaches such as Machine Learning, Simultaneous Localization and Mapping (SLAM), and Path Planning. It then presents the development methods for the autonomous navigation system using machine learning through simulation, …

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High-Performance Sha-256-Based Request Signing: A Comparative Study Of Standard And Custom Implementations, Gentrit Halimi, Rigon Pira, Argjend Azizi Oct 2025

High-Performance Sha-256-Based Request Signing: A Comparative Study Of Standard And Custom Implementations, Gentrit Halimi, Rigon Pira, Argjend Azizi

UBT International Conference

Ensuring data integrity in modern software integrations with third-party providers is critical for secure communication and reliable transaction processing. This study focuses on implementing SHA-256 hashing for verifying the authenticity and integrity of HTTP requests. Two approaches are analyzed: the built-in .NET SHA-256 implementation and a fully custom SHA-256 algorithm implemented from first principles. Both methods are evaluated for correctness, security, and performance. Experimental results demonstrate that the custom implementation achieves comparable security guarantees while offering improved execution speed and minimal memory usage. The findings highlight the relevance of SHA-256 in protecting data against tampering and its suitability for high-performance, …

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Continuous Integration And Continuous Deployment (Ci/Cd) In Modern Software Engineering: A Comparative Study Of Jenkins And Github Actions, Zana Sadiku, Lavdim Beqiri Oct 2025

Continuous Integration And Continuous Deployment (Ci/Cd) In Modern Software Engineering: A Comparative Study Of Jenkins And Github Actions, Zana Sadiku, Lavdim Beqiri

UBT International Conference

The rapid evolution of software delivery models has shifted the focus from manual releases toward fully automated pipelines. Continuous Integration and Continuous Deployment (CI/CD) have become central pillars of modern software engineering, enabling faster iterations, early defect detection, and consistent delivery across environments. Among the most widely adopted tools for implementing CI/CD are Jenkins, an open-source automation server known for its extensibility, and GitHub Actions, a cloud-native CI/CD platform tightly integrated with GitHub repositories. This paper provides a comparative analysis of Jenkins and GitHub Actions in the context of DevOps practices, focusing on setup complexity, scalability, customization, integration flexibility, and …

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Computational Analysis Of Gdp, Inflation, And Unemployment Trends In The Western Balkans, Adea Krasniqi, Vehbi Neziri Oct 2025

Computational Analysis Of Gdp, Inflation, And Unemployment Trends In The Western Balkans, Adea Krasniqi, Vehbi Neziri

UBT International Conference

Using computational econometric techniques, this study examines three important macroeconomic indicators over a multi-year period: GDP growth, inflation, and unemployment. The study uses a Python-based analytical pipeline for data processing, visualization, and interpretation by integrating cross-sectional and time-series data from trustworthy sources. The methodology evaluates indicator behavior under different economic conditions by using statis- tical learning and segmentation across multiple temporal phases. Based on the research outcomes, traditional macroeconomic frameworks, such as Okun's Law and the Phillips Curve, exhibit limited predictive accuracy across heterogeneous economic environments, particularly when incorporating the effects of global disruptions. The research presents a modular analytical …

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The Use Of Artificial Intelligence In Medicine: Benefits And Risks, Aurela Gashi, Faton Kabashi, Vehebi Sofiu, Mirlinda Selimaj, Laura Gjikokaj Oct 2025

The Use Of Artificial Intelligence In Medicine: Benefits And Risks, Aurela Gashi, Faton Kabashi, Vehebi Sofiu, Mirlinda Selimaj, Laura Gjikokaj

UBT International Conference

Artificial Intelligence (AI) is increasingly transforming the field of medicine by enabling rapid and precise diagnosis, personalized therapies, and advanced data management. From interpreting complex medical images to predicting chronic disease risks and tailoring treatments for individual patients, AI demonstrates unprecedented potential to enhance healthcare outcomes. However, alongside these opportunities emerge critical challenges and risks. Biased training datasets may lead to inaccurate diagnoses, while concerns over data privacy and ethical responsibility raise fundamental questions about the limits of automation in healthcare. This paper emphasizes that the integration of AI should not aim to replace physicians but rather to support them, …

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Comparative Analysis Of Monolithic And Microservices Architectures In Web Development, Denis Bajçinca, Faton Kabashi, Laura Gjikokaj, Mirlinda Selimaj, Lamir Shkurti Oct 2025

Comparative Analysis Of Monolithic And Microservices Architectures In Web Development, Denis Bajçinca, Faton Kabashi, Laura Gjikokaj, Mirlinda Selimaj, Lamir Shkurti

UBT International Conference

This study examines the comparison between monolithic and microservices architectures in web application development, focusing on their impact on performance, scalability, maintainability, and complexity management. Through a review of the literature and practical analysis of real-world case studies, Netflix (representing monolithic architecture) and Etsy (representing microservices architecture) were evaluated using key performance and technical efficiency metrics, employing tools such as Google Lighthouse and HAR file analysis. Tests were conducted on both desktop and mobile platforms to assess architectural influence under varying conditions. Findings indicate that monolithic architecture provides stable performance and centralized control, particularly on desktop platforms, while microservices offer …

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Friends Recommendation In Dynamic Social Networks Using Breadth-First Search Algorithm, Rigon Pira, Jeta Domi, Besnik Qehaja, Edmond Hajrizi Oct 2025

Friends Recommendation In Dynamic Social Networks Using Breadth-First Search Algorithm, Rigon Pira, Jeta Domi, Besnik Qehaja, Edmond Hajrizi

UBT International Conference

Social networks are constantly evolving, and recommending new con- nections is essential for improving user engagement. This paper proposes a friend recommendation system using the Breadth-First Search (BFS) algorithm on dy- namic graphs, offering a simple, scalable, and efficient solution. The network is modeled as an undirected graph, where users are vertices and friendships are edges. BFS explores the graph level by level, identifying potential friends through mutual connections while excluding existing friends. An adjacency list representation ensures memory efficiency and supports real-time updates. Can- didate friends are ranked by the number of shared mutual connections, with higher counts indicating …

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Audio Signal Compression Using Wavelet Transform: A Matlab Implementation, Rigon Pira, Argjend Azizi, Gentrit Halimi, Zhilbert Tafa Oct 2025

Audio Signal Compression Using Wavelet Transform: A Matlab Implementation, Rigon Pira, Argjend Azizi, Gentrit Halimi, Zhilbert Tafa

UBT International Conference

In modern signal processing, the need to efficiently analyze and store non- stationary signals has become increasingly important, particularly for audio applications where both time and frequency localization are essential. Traditional Fourier-based methods provide global frequency information but fail to indicate when these frequencies occur, making them suboptimal for real-world, time-var- ying signals. This paper investigates the use of wavelet transforms, specifically the Daubechies wavelet for audio signal compression. A practical implementa- tion is developed in MATLAB, where the discrete wavelet transform (DWT) is applied to decompose audio signals into approximation and detail coefficients. Thresholding techniques are employed to remove …

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Characteristics And Driving Forces Of The Spatiotemporal Evolution Of Surface Water Bodies In Ecologically Fragile Mining Areas In The Yellow River Basin: A Case Study Of The Yushenfu Mining Area, Chen Chao, Xuan Ang, Hu Zhenqi, Wang Yiming, Zhang Jiachao, Wang Guo, Yang Fuqin Oct 2025

Characteristics And Driving Forces Of The Spatiotemporal Evolution Of Surface Water Bodies In Ecologically Fragile Mining Areas In The Yellow River Basin: A Case Study Of The Yushenfu Mining Area, Chen Chao, Xuan Ang, Hu Zhenqi, Wang Yiming, Zhang Jiachao, Wang Guo, Yang Fuqin

Coal Geology & Exploration

Background This study aims to respond to the strategic demand for ecological protection and high-quality development in the Yellow River basin. To this end, research on the characteristics and driving forces of the spatiotemporal evolution of surface water bodies under the disturbance of intensive coal mining serves as the basis and a prerequisite for mitigating the contradiction between coal mining and water resources in ecologically fragile mining areas of the Yellow River basin. Methods Based on 10 stages of remote sensing image data from 1980 to 2023, information about surface water bodies in the Yushenfu mining area was extracted using …

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