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Green and Recreational Spaces in Cities: A Comparative Study of Urban Greening Models
No full textGreen spaces in urban environments are seen as a pro-environmental behavior and are an image for an urban center. All green spaces, both inside and outside urban centers, form the green system of these centers. The purpose of this study is to present the design of a new green space in the city of Prishtina for all age groups of people living in this area of the city. The emergence of the concept of the sustainable city or the city of the 21st century, raised the issue of the role of vegetation and green spaces in urban and suburban areas in Kosovo. Public green spaces play an important role when it comes to facing the challenges related to the management of urban environments in the 21st century. The design location was in the city of Prishtina with an area of about 6500 m2. All types and forms of urban vegetation contribute to its visual improvement and in thiscontext they also have aesthetic, environmental, psychohealth values and contribute to urban architecture. Urban green spaces provide numerous services, as they represent spaces for recreation and relaxation, allow contact with nature and contribute positively to the mental and physical health of city residents. Respecting and implementing international standards for green spaces strengthens the image of Kosovo, preserves the health of citizens, aesthetic, environmental, and psycho-health values, meets environmental criteria, and contributes to urban architecture
Spatial/ Urban Planning Process in Kosovo and it’s Challenges
No full textConsidering spatial/ urban planning process in Kosovo as transitional, young and developing Country in Western Balkans; means considering fundamental tool for sustainable development based on rapid evolvement of socio- economic structures and institutional framework. This process is facing significant challenges: Establishing effective governance system Establishing relevant legal framework Establishing interrelated hierarchy and interactions Establishing monitoring and implementation mechanisms Establishing management of political, administrative and technical barriers All those challenges are with direct impact on effectiveness and qualitative planning process and progress. This paper shows that challenges are directly related to: lack of coordination among institution’s, insufficient partners participation, week enforcement mechanisms and limited financial resources for implementation! So, improvement of spatial/ urban planning process in Kosovo needs a focus on correlation between legal framework and multi- level governance structure towards shaping decision- making
Can Smart Homes Heal Cities? Rethinking Residential Wellbeing in South East Europe
No full textThe South East European (SEE) region faces significant challenges in the residential sector, including outdated housing stock, low energy efficiency, and poor indoor environmental quality, all of which negatively affect occupant health and wellbeing (European Commission, 2020). Research indicates that healthy homes are essential not only for reducing energy poverty but also for improving cognitive performance, thermal comfort, and long-term public health (WHO, 2018; Santamouris, 2021). This study explores the potential of smart, healthy homes as catalysts for urban resilience in SEE. By integrating affordable retrofitting strategies, Internet of Things (IoT)-based monitoring of indoor quality, and culturally responsive architectural design, the project seeks to align wellbeing at the household scale with broader urban sustainability agendas (Vula Rizvanolli et al., 2022). The findings emphasize that homes—where individuals spend most of their lives—can serve as foundational nodes in smart city ecosystems. As such, rethinking residential wellbeing through smart technologies and regenerative design has the potential to “heal” cities by fostering healthier, more equitable, and climate-resilient communities (RESTORE, 2019)
Residential Development Trends and Building Typologies in Prishtina (2012–2025): Empirical Analysis Based on Construction Permits
No full textThis paper presents an empirical analysis of building development and residential patterns in Prishtina, based on secondary data primarly extracted from construction permits issued by the Municipal Assembly for the period 2012-2025, supplemented by adittional statistical sources. Through statistical processing and comparative diagrams, the research identifies the predominance of collective multi-family residential buildings, particularly apartment buildings, in terms of constructed area, alongside the presence and evolution of single-family houses and other building types. The paper also presents the empirically accumulated results that indicate the types of mixed-use buildings according to their number of floors, being highlighted as the mos widespread buildings in Prishtina. These findings, structured through empirical analysis and not readily available in this consolidated from in other sources, provide systematized knowledge to inform further development
The application of pedestrian overpasses in urban areas - the case of road B ( Sunny Hill )
No full textThis paper presents research work related to the solution and prioritization of active movements in urban areas, taking into consideration the demand for movement, infrastructure, safety of movements and the landscape. The review is based on the existing state of the infrastructure, differentiating active movements - pedestrians and cyclists from vehicles. The proposed solution fills the gaps identified during the survey and analysis process of the traffic node location
Dimensional Stability and Hydric Behavior of Lime-Slag Stabilized Compressed Earth Blocks
No full textThis study investigates the dimensional behavior of compressed earth blocks stabilized with 4% lime and varying amounts of ground granulated blast furnace slag (GGBS). Four formulations containing 0, 4, 8, and 12% slag were tested to evaluate linear shrinkage, swelling, and capillary absorption. The results show that increasing slag content leads to a consistent reduction in both shrinkage and swelling, indicating improved dimensional stability. For the mixture containing 12% slag, shrinkage and swelling decreased by about 27% compared to the reference, while capillary absorption dropped by nearly 70%. These improvements are attributed to matrix densification and reduced capillarity resulting from limeslag pozzolanic reactions.. The combined stabilization significantly enhances the durability and moisture resistance of the earth blocks, supporting their use as sustainable and dimensionally stable materials for construction
The Use of Artıfıcıal Intellıgence for Fake News Detectıon
No full textThe 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 essential benchmarks for training and evaluating detection algorithms. The study highlights the strengths and limitations of existing approaches and emphasizes the need for more transparent and context-aware AI models that can better interpret semantic nuances and reduce algorithmic bias. Findings from recent literature suggest that combining semantic and contextual analysis provides the most promising results for accurate and reliable fake news identification, ultimately contributing to more trustworthy and explainable AI-based media ecosystems
Geometry of Complexity in Mathematics and Computing Fractals
No full textFractals are structures that reveal infinitely complex patterns yet are surprisingly simple. They emerge as objects defined by recursion and they capture the idea of selfsimilarity. Beyond visual appeal, fractals also carry deep mathematical significance, bridging geometry, analysis and chaos theory. They challenge the very concept of dimension, expanding the understanding of geometry that exists beyond the Euclidean limits. In computer science, algorithms for generating these fractals rely on recursion, iteration and complex numbers. As coding provides a base for fractals to show how mathematical beauty can be showcased in the digital world, in generating landscapes, textures, organic forms and realism. These however not being the only functions but also supports data compression, image recognition, and modeling of chaotic systems. They stand as a powerful intersection between abstract theory and applied computation, embodying the synergy of math and computer science. Their paradoxical nature is part of their allure. On one hand, they are born from equations that can be written in a few lines. On the other, they give rise to visuals so complex and alive that they seem beyond calculation. In this sense, fractals appear less like human inventions and more like discoveries of a hidden order already woven into nature itself. Fractals remain both familiar and alien glimpses of infinity that we can generate but never fully grasp. As we look closer, we find they are not only art and not only mathematics, but a bridge between the two, pointing toward patterns that seem to echo across science, technology, and even philosophy
The Fundamental Principles of Machine Learning and Its Role in Technological Transformation
No full textThe rapid development of technology has significantly increased the use of Machine Learning (ML) across various social and economic domains. Advanced algorithms such as neural networks, support vector machines, random forests, and deep learning techniques have revolutionized the way information is analyzed and utilized. However, a key challenge lies in understanding their impact on professions and society. This thesis is developed along two parallel dimensions: addressing the theoretical concepts and applications of ML in different industries, and empirically evaluating the “Substitution vs. Augmentation” hypothesis, which explores whether ML replaces traditional human roles or enhances them. Through a comprehensive literature review and data analysis, ML models and applications in sectors such as healthcare, finance, e-commerce, and communication were examined. The study’s findings reveal that although there is a risk of replacing certain professions, in most cases ML functions as a tool that complements and enhances human capabilities—boosting productivity and creating new opportunities. The thesis is structured into six chapters, including a literature review, methodology, and research findings. The final conclusions underscore the importance of integrating ML in an ethical and balanced manner, with the goal of using it as a tool for development rather than replacement. This thesis contributes to the scientific literature by offering a blend of theoretical insight and empirical analysis on the transformative role of ML, serving as a foundation for shaping more effective strategies for the future of technology
The challenges of the digital transformation of a hospital according to the trends of innovative technological development
No full textThis 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, real-time monitoring with detailed patient and personnel data, and eliminates uncontrolled management and patient waiting issues within software infrastructure. The research presents comparative case studies from various European hospitals that have adopted innovative digital technologies, providing a clear view of best management practices and practical opportunities for improving hospital operations and patient care. The findings suggest that, despite personnel neglect issues, the primary challenge lies in investing in successful digital transformation and implementation