Search Results - "Lovrić, Mario"
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Understanding the true effects of the COVID-19 lockdown on air pollution by means of machine learning
Published in Environmental pollution (1987) (01-04-2021)“…During March 2020, most European countries implemented lockdowns to restrict the transmission of SARS-CoV-2, the virus which causes COVID-19 through their…”
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Ensemble Learning Approaches to Data Imbalance and Competing Objectives in Design of an Industrial Machine Vision System
Published in Industrial & engineering chemistry research (11-03-2020)“…Numerous industrial applications of machine learning feature critical issues that need to be addressed. This work proposes a framework to deal with these…”
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PySpark and RDKit: Moving towards Big Data in Cheminformatics
Published in Molecular informatics (01-06-2019)“…The authors present an implementation of the cheminformatics toolkit RDKit in a distributed computing environment, Apache Hadoop. Together with the Apache…”
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Applying machine learning methods to better understand, model and estimate mass concentrations of traffic-related pollutants at a typical street canyon
Published in Environmental pollution (1987) (01-08-2020)“…Narrow city streets surrounded by tall buildings are favorable to inducing a general effect of a “canyon” in which pollutants strongly accumulate in a…”
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Toxicity prediction and effect characterization of 90 pharmaceuticals and illicit drugs measured in plasma of fish from a major European river (Sava, Croatia)
Published in Environmental pollution (1987) (01-11-2020)“…Chemical analysis of plasma samples of wild fish from the Sava River (Croatia) revealed the presence of 90 different pharmaceuticals/illicit drugs and their…”
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Machine learning in prediction of intrinsic aqueous solubility of drug‐like compounds: Generalization, complexity, or predictive ability?
Published in Journal of chemometrics (01-07-2021)“…We present a collection of publicly available intrinsic aqueous solubility data of 829 drug‐like compounds. Four different machine learning algorithms (random…”
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Predictive Capability of QSAR Models Based on the CompTox Zebrafish Embryo Assays: An Imbalanced Classification Problem
Published in Molecules (Basel, Switzerland) (15-03-2021)“…The CompTox Chemistry Dashboard (ToxCast) contains one of the largest public databases on Zebrafish ( ) developmental toxicity. The data consists of 19…”
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Evidence-driven indoor air quality improvement: An innovative and interdisciplinary approach to improving indoor air quality
Published in BioFactors (Oxford) (01-10-2024)“…Indoor air pollution is a recognized emerging threat, claiming millions of lives annually. People are constantly exposed to ambient and indoor air pollution…”
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Assessment of river sediment toxicity: Combining empirical zebrafish embryotoxicity testing with in silico toxicity characterization
Published in The Science of the total environment (01-12-2018)“…Quantitative chemical analyses of 428 organic contaminants (OCs) indicated the presence of 313 OCs in the sediment extracts from Sava River, Croatia…”
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Theory-inspired machine learning—towards a synergy between knowledge and data
Published in Welding in the world (01-07-2022)“…Most engineering domains abound with models derived from first principles that have beenproven to be effective for decades. These models are not only a…”
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Comparative Energy Consumption Analysis of the Hybrid Diesel Train and the Hybrid Fuel Cell Train
Published in Tehnički vjesnik (01-10-2023)“…This paper compares train energy consumption of hybrid diesel-electric multiple unit (HDEMU) to hydrogen fuel-cell multiple unit (HFCMU). In the simulation,…”
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Affinity of Antifungal Isoxazolo[3,4- b ]pyridine-3(1 H )-Ones to Phospholipids in Immobilized Artificial Membrane (IAM) Chromatography
Published in Molecules (Basel, Switzerland) (20-10-2020)“…Currently, rapid evaluation of the physicochemical parameters of drug candidates, such as lipophilicity, is in high demand owing to it enabling the…”
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A Generation Shift in Mediterranean Diet Adherence and Its Association with Biological Markers and Health in Dalmatia, Croatia
Published in Nutrients (20-12-2021)“…Previous studies have confirmed the beneficial effect of a Mediterranean diet in mitigating health issues related to cardiovascular disease, diabetes and…”
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Adherence to Mediterranean Diet and Maternal Lifestyle during Pregnancy: Island-Mainland Differentiation in the CRIBS Birth Cohort
Published in Nutrients (22-07-2020)“…Maternal nutrition and lifestyle in pregnancy are important modifiable factors for both maternal and offspring's health. Although the Mediterranean diet has…”
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Combining short-term bioassays using fish and crustacean model organisms with ToxCast in vitro data and broad-spectrum chemical analysis for environmental risk assessment of the river water (Sava, Croatia)
Published in Environmental pollution (1987) (01-01-2022)“…This study focused on the short-term whole organism bioassays (WOBs) on fish (Danio rerio) and crustaceans (Gammarus fossarum and Daphnia magna) to assess the…”
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Development of a Cost-effective Adsorption Dryer for High-quality Aerosol Sampling
Published in Aerosol and Air Quality Research (01-03-2024)“…Due to their affinity to water, physical-chemical properties of aerosol particles depend highly on the ambient relative humidity (RH). Aerosol drying below 40%…”
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Linking infant size and early growth with maternal lifestyle and breastfeeding - the first year of life in the CRIBS cohort
Published in Annals of human biology (02-01-2023)“…Every third child in Croatia is classed as overweight or obese. Infant growth can represent early warning signs for obesity. To detect early risk factors for…”
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Pollution Sources and Carcinogenic Risk of PAHs in PM1 Particle Fraction in an Urban Area
Published in International journal of environmental research and public health (21-12-2020)“…Airborne particles are composed of inorganic species and organic compounds. PM1 particles, with an aerodynamic diameter smaller than 1 μm, are considered to be…”
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Collaborative Data Use between Private and Public Stakeholders—A Regional Case Study
Published in Data (Basel) (01-02-2022)“…Research and development are facilitated by sharing knowledge bases, and the innovation process benefits from collaborative efforts that involve the collective…”
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Should We Embed in Chemistry? A Comparison of Unsupervised Transfer Learning with PCA, UMAP, and VAE on Molecular Fingerprints
Published in Pharmaceuticals (Basel, Switzerland) (02-08-2021)“…Methods for dimensionality reduction are showing significant contributions to knowledge generation in high-dimensional modeling scenarios throughout many…”
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