AIMC Topic: Serbia

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Neuro-fuzzy prediction model of occupational injuries in mining.

International journal of occupational safety and ergonomics : JOSE Sep 23, 2024
This study investigates the possibility of developing a unique model for predicting work-related injuries in Serbian underground coal mines using neural networks and fuzzy logic theory. Accidents are common due to the unique nature of underground mi...
Coal Mining Serbia Occupational Injuries Humans Accidents, Occupational Neural Networks, Computer Fuzzy Logic
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Unveiling the potential of a novel portable air quality platform for assessment of fine and coarse particulate matter: in-field testing, calibration, and machine learning insights.

Environmental monitoring and assessment Sep 4, 2024
Although low-cost air quality sensors facilitate the implementation of denser air quality monitoring networks, enabling a more realistic assessment of individual exposure to airborne pollutants, their sensitivity to multifaceted field conditions is o...
Machine Learning Environmental Monitoring Particulate Matter Serbia Calibration Air Pollutants Air Pollution
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Cancer care pathways across seven countries in Europe: What are the current obstacles? And how can artificial intelligence help?

Journal of cancer policy Nov 25, 2023
BACKGROUND: Cancer poses significant challenges for healthcare professionals across the disease pathway including cancer imaging. This study constitutes part of the user requirement definition of INCISIVE EU project. The project has been designed to ...
Humans Critical Pathways Lung Neoplasms United Kingdom Serbia Artificial Intelligence Male
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Evaluation of clinical named entity recognition methods for Serbian electronic health records.

International journal of medical informatics May 25, 2022
BACKGROUND AND OBJECTIVES: The importance of clinical natural language processing (NLP) has increased with the adoption of electronic health records (EHRs). One of the critical tasks in clinical NLP is named entity recognition (NER). Clinical NER in ...
Humans Neural Networks, Computer Natural Language Processing Serbia Machine Learning Electronic Health Records
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Application of deep learning in aquatic bioassessment: Towards automated identification of non-biting midges.

The Science of the total environment Nov 14, 2019
Morphological species identification is often a difficult, expensive, and time-consuming process which hinders the ability for reliable biomonitoring of aquatic ecosystems. An alternative approach is to automate the whole process, accelerating the id...
Neural Networks, Computer Deep Learning Serbia Animals Ecosystem
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Estimating the association between antibiotic exposure and colonization with extended-spectrum β-lactamase-producing Gram-negative bacteria using machine learning methods: a multicentre, prospective cohort study.

Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases May 23, 2019
OBJECTIVES: The aim of the study was to measure the impact of antibiotic exposure on the acquisition of colonization with extended-spectrum β-lactamase-producing Gram-negative bacteria (ESBL-GNB) accounting for individual- and group-level confounding...
Romania Gram-Negative Bacteria Gram-Negative Bacterial Infections Incidence Italy Drug Therapy, Combination Serbia beta-Lactamases Male Middle Aged Adolescent Young Adult Adult Prospective Studies Female Humans Machine Learning Risk Factors Hospitalization Anti-Bacterial Agents Aged
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Streptococcus Gallolyticus endocarditis in patient with liver cirrhosis: a case report.

Journal of infection in developing countries Apr 30, 2019
Streptococcus gallolyticus (S. gallolyticus) bacteremia is commonly associated with endocarditis and diseases of gastrointestinal tract, especially with colorectal carcinoma. On the other side, it is rarely connected to liver disease, especially alco...
Serbia Streptococcus gallolyticus Fatal Outcome Pericardial Effusion Liver Cirrhosis Male Alcoholism Humans Aortic Valve Hospitals Streptococcal Infections Endocarditis Adult
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Selection of recycling centre locations by using the interval type-2 fuzzy sets and two-objective genetic algorithm.

Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA Oct 11, 2018
In the sense of contemporary industrial challenges, it may be said that many issues in the field of recycling may be analysed. In this paper, the model for choosing locations for construction of recycling centres equipped with new technology is propo...
Algorithms Fuzzy Logic Serbia Recycling
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Modeling the BOD of Danube River in Serbia using spatial, temporal, and input variables optimized artificial neural network models.

Environmental monitoring and assessment Apr 19, 2016
This paper describes the application of artificial neural network models for the prediction of biological oxygen demand (BOD) levels in the Danube River. Eighteen regularly monitored water quality parameters at 17 stations on the river stretch passin...
Serbia Biological Oxygen Demand Analysis Romania Environmental Monitoring Water Quality Rivers Spatio-Temporal Analysis Cities Neural Networks, Computer
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