The contemporary way of life influences the forms and time framework of outdoor activities in open public spaces, shifting their focus to nighttime usage. The aim of this study is to demonstrate the limits of existing outdoor lighting design standards and recommendations in terms of livability. As an exploratory case study, the Sava waterfront in New Belgrade, Serbia was chosen. The methodology consisted of theoretical research and specific analysis, which included: (1) mapping the spatial distribution of users during several periods of the day; (2) criteria and indicator network analysis of outdoor lighting quality, and (3) a survey with a questionnaire conducted among the users of the waterfront area. The results showed that lighting design can influence overall open public space usage during nighttime through its parameters. It can affect the spatial distribution of users and their sense of safety and comfort, as well as the duration, frequency, and manner of usage. This study could improve planning and design practices regarding outdoor lighting, enabling more active and inclusive usage of open public spaces, thus increasing the overall livability of spaces and their social sustainability.

Gears are essential machine elements that are exposed to heavy loads. In some cases, gearboxes are critical elements since they serve as machine drivers that must operate almost every day for a more extended period, such as years or even tens of years. Any interruption due to gear failures can cause significant losses, and therefore it is necessary to have a monitoring system that will ensure proper operation. Tooth surface damage is a common occurrence in operating gears. One of the most common types of damage to teeth surfaces is pitting. It is necessary for normal gear operations to regularly determine the occurrence and span of a damaged tooth surface caused by pitting. In this paper, we propose a machine vision system as part of the inspection process for detecting pitting and monitoring its progression. The implemented inspection system uses a faster R-CNN network to identify and position pitting on a specific tooth, which enables monitoring. Prediction confidence values of pitting damage detection are between 99.5–99.9%, while prediction confidence values for teeth recognized as crucial for monitoring are between 97–99%.

The regeneration of brownfield sites in Belgrade represents an important component of sustainable urban development. Over the past two decades, Belgrade has experienced extensive redevelopment of brownfield sites, although these transformations have largely taken place without a coherent strategic framework for integrating the provision of public amenities with the needs and priorities of local communities. This study evaluates the regeneration potential of 23 brownfield sites representing different activation statuses using a multi-criteria assessment framework based on the Analytic Hierarchy Process (AHP). As a case study, the proposed framework has practical applicability and can support decision-makers in the planning and activation of future brownfield sites by incorporating lessons learned from previous redevelopment processes. The ultimate contribution of this study therefore lies in bridging methodological assessment and practical decision-making, thereby supporting more sustainable, evidence-based, and context-sensitive brownfield regeneration. Thirteen criteria were grouped into three thematic categories: environmental safety; infrastructure development and spatial capacity; and quality of life and social well-being. The analysis integrated data from strategic planning documents, spatial datasets, satellite imagery, and field verification, while Geographic Information Systems (GIS) were used to process, spatially integrate, and visualize the results. The proposed framework integrates environmental, spatial, infrastructural, and social considerations to provide a systematic basis for assessing and prioritizing brownfield regeneration. The results indicate that brownfield activation in Belgrade has frequently occurred without sufficient alignment with a clearly defined urban development strategy. Brownfield sites have most commonly been converted into residential areas and shopping centers, while insufficient consideration has been given to the provision of green spaces, tourism-related uses, and potential environmental pressures. Sites located in the municipalities of Savski Venac and Rakovica demonstrate the greatest potential for the integration of green infrastructure. Based on the assessment results, three brownfield typologies were identified: sites suitable for ecological restoration and green corridor development; sites suitable for mixed-use regeneration incorporating public facilities; and sites requiring priority remediation before redevelopment. The findings provide practical guidance for environmental protection, urban safety, and multifunctional regeneration of post-industrial areas, while demonstrating the potential applicability of the proposed methodology to other urban areas facing similar brownfield regeneration challenges.