MODELS OF CONTEPMPORARY GEODYNAMIC PROCESSES ON THE RIM OF THE SARAJEVO DEPRESSION
The rim of the Sarajevo depression was exposed to a strong construction expansion, which was not followed by spatial planning documentation. This work presents models of modern geodynamic processes, which are mainly caused by technogenic effects. The characteristics of these processes mainly depend on the morphological properties of the terrain, ge...
By Aco Goljanin, Amel Demirović, Maida Žiko
SEPARATED GEOTECHNICAL ENVIRONMENTS DURING THE RESEARCH OF THE TERRAIN AT THE LOCATION PLANNED FOR THE CONSTRUCTION OF THE SILOS IN KOZLUK NEAR ZVORNIK
The construction of high-rise objects in solid rocks characterized by frequent changes in its vertical profile requires a more detailed study of lithological layers, tectonic characteristics and analysis of physical and mechanical parameters. Layers of different strength and characteristics in all elements make it possible to separate it by geologi...
By Neđo Đurić, Dijana Djuric
INNOVATIVE APPROACHES TO CONTROLLING IN AGRIBUSINESS: THE ROLE OF QUALITY MANAGEMENT SYSTEMS IN SUSTAINABLE PRODUCTION PRACTICES
Quality Management Systems (QMS) are increasingly the method of agribusiness addressing consumer demand for quality and transparency. These systems also play a crucial role in ensuring sustainable production, particularly in the face of climate change and regulatory pressures. The need to improve efficiencies in controlling production is becoming i...
By Olena Smihunova, Ihor Bohdaniuk, Yevheniya Polyakova, Artur Yehiozarian
GROUNDWATER MANAGEMENT: INTEGRATING GEOLOGICAL AND HYDROLOGICAL DATA FOR EFFECTIVE DECISION MAKING
The most valuable natural resource for all of humanity, not just for a state or nation, is water. A country's ability to prosper largely rests on how wisely it uses this resource. Thus, water, which flows in rivers and streams, can be said to be a nation's primary asset. This proves rivers are important, and further justification is needed to empha...
By Satish Radhakrishnan, R. Velanganni, Prabakaran Paranthaman
MACHINE LEARNING-DRIVEN STRATEGIES FOR CUSTOMER RETENTION AND FINANCIAL IMPROVEMENT
In the telecom sector, which generates vast amounts of data daily due to its extensive client base, retaining present customers is more cost-effective than attaining new ones. Business analysts and CRM specialists must comprehend the reasons behind customer churn and identify behavioral patterns within client data. This study develops a churn forec...
By N. Rakesh, B.A. Mohan, U. Kumaran, G.L. Prakash, Rajakumar Arul, Kalaipriyan Thirugnanasambandam
DEVELOPING INFORMATION SYSTEM ON BLACKSPOT SEVERITY FOR TRAVELLERS BY USING PYTHON AND GIS TECHNIQUES
To reduce road traffic accidents, it is mandatory to identify and analyze road network blackspots with a high accident rate. This analysis aims to develop a framework to analyze the severity of blackspots for travelers using the Python programming language. The proposed study uses accident data to identify the black spots. Python programming ...
By Nishant Singh, Sunil Kumar Katiyar
THERMAL COMFORT IN BELGRADE, SERBIA: UTCI-BASED SEASONAL AND ANNUAL ANALYSIS FOR THE PERIOD 1991-2020
The main goal of this research is to examine thermal comfort in the central area of Belgrade (Serbia), over a period of 30 years (1991-2020). The Universal Thermal Climate Index (UTCI) was used as a measure for evaluating outdoor thermal comfort (OTC). The obtained results were considered separately for each season, as well as at the annual level. ...
By Milica Lukić, Dijana Đurić
RESEARCH OF MARLY ROCKS ON THE TERRAIN FORECASTED FOR CONSTRUCTION OF SILOS OBJECTS
Complexity of geological terrain built demands different level of research in order to obtain all necessary characteristics for the establishing of connections between the structure of the objects and the terrain. Frequent changes of rocks in vertical profile and their irregular settling related to creasing of the terrain during geological history ...
By Neđo Đurić, Marko Đurić
SMART MINING: JOINT MODEL FOR PARAMETRIZATION OF COAL EXCAVATION PROCESS BASED ON ARTIFICIAL NEURAL NETWORKS
In the present paper we propose a new artificial neural network model for the estimation of coal cutting resistance and excavator performance as a nonlinear relationship between the examined input (excavator movement angle in the left and right direction, slice height and thickness, coal unit weight, compressive and shear strength) and output facto...
By Trivan Jelena, Srđan Kostić
TIME DEPENDENT DEFORMATIONS OF A COUPLED BRIDGE: A CASE STUDY
The bridge's span structure comprises a connected beam designed to support a concrete slab poured over parallel steel supports. Simultaneously, segmental construction, shrinkage, and the flow of concrete play a significant role in stress redistribution over time. The span construction is statically indeterminate due to its connections with the abut...
By Anđelko Cumbo, Radomir Folić