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Autori: Milosavljevic Aleksandar Lj

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Naslov Imagelytics suite: deep learning-powered image classification for bioassessment in desktop and web environments (Article; Early Access)
Autori Milosavljevic Aleksandar Lj  Predic Bratislav B  Milosevic Djuradj D  
Info LOGIC JOURNAL OF THE IGPL, (2024), vol. br. , str. -
Projekat Science Fund of the Republic of Serbia [7751676]
Ispravka Web of Science   Članak   Elečas   Rang časopisa   Citati:
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Naslov Automated identification of aquatic insects: A case study using deep learning and computer vision techniques (Article)
Autori Simovic Predrag  Milosavljevic Aleksandar Lj  Stojanovic Katarina Z Radenkovic Milena D Savic-Zdravkovic Dimitrija N Predic Bratislav B  Petrovic Ana SL  Bozanic Milenka Lj Milosevic Djuradj D  
Info SCIENCE OF THE TOTAL ENVIRONMENT, (2024), vol. 935 br. , str. -
Projekat Science Fund of the Republic of Serbia [7751676]; Ministry of Science, Technological Development and Innovation of the Republic of Serbia [451-03-66/2024-03/200122]
Ispravka Web of Science   Članak   Elečas   Rang časopisa  
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Naslov Multi-Convolutional Neural Network-Based Diagnostic Software for the Presumptive Determination of Non-Dermatophyte Molds (Article)
Autori Milanovic Mina Otasevic Suzana A  Randjelovic Marina  Grassi Andrea Cafarchia Claudia Mares Mihai Milosavljevic Aleksandar Lj  
Info ELECTRONICS, (2024), vol. 13 br. 3, str. -
Projekat Department of Veterinary Medicine, University of Bari (Italy); Laboratory of Antimicrobial Chemotherapy, Iasi University of Life Sciences (Romania)
Ispravka Web of Science   Članak   Elečas   Rang časopisa  
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Naslov Efficient Distortion Mitigation and Partition Reduction in Mapping Global Geodata: Dual Orthogonal Equidistant Cylindrical Projection Approach (Article)
Autori Dimitrijevic Aleksandar M  Milosavljevic Aleksandar Lj  Rancic Dejan D 
Info ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, (2023), vol. 12 br. 7, str. -
Projekat Ministry of Education, Science and Technological Development of the Republic of Serbia [451-03-47/2023-01/200102]
Ispravka Web of Science   Članak   Elečas   Rang časopisa  
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Naslov Mandibular shape as a proxy for the identification of functional feeding traits of midge larvae (Diptera: Chironomidae) (Article)
Autori Djurdjevic Aca Medeiros Andrew S Zikic Vladimir  Milosavljevic Aleksandar Lj  Savic-Zdravkovic Dimitrija N Lazarevic Maja J  Milosevic Djuradj D  
Info ECOLOGICAL INDICATORS, (2023), vol. 147 br. , str. -
Projekat Science Fund of the Republic of Serbia [7751676]; Natural Sciences and Engineering Research Council of Canada
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Naslov The application of Uniform Manifold Approximation and Projection (UMAP) for unconstrained ordination and classification of biological indicators in aquatic ecology (Article)
Autori Milosevic Djuradj D  Medeiros Andrew S Stojkovic-Piperac Milica Cvijanovic Dusanka Lj Soininen Janne Milosavljevic Aleksandar Lj  Predic Bratislav B  
Info SCIENCE OF THE TOTAL ENVIRONMENT, (2022), vol. 815 br. , str. -
Projekat Serbian Ministry of Education and Science [451-03-9/2021-14/200124]
Ispravka Web of Science   Članak   Elečas   Rang časopisa   Citati: Web of Science   Scopus  
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Naslov VoRtex Metaverse Platform for Gamified Collaborative Learning (Article)
Autori Jovanovic Aleksandar Milosavljevic Aleksandar Lj  
Info ELECTRONICS, (2022), vol. 11 br. 3, str. -
Ispravka Web of Science   Članak   Elečas   Rang časopisa   Citati: Web of Science   Scopus  
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Naslov Automated Processing of Remote Sensing Imagery Using Deep Semantic Segmentation: A Building Footprint Extraction Case (Article)
Autori Milosavljevic Aleksandar Lj  
Info ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, (2020), vol. 9 br. 8, str. -
Projekat Ministry of Education, Science and Technological Development, Republic of Serbia [III-43007, III-47003]
Ispravka Web of Science   Članak   Elečas   Rang časopisa   Citati: Web of Science   Scopus  
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Naslov Identification of Salt Deposits on Seismic Images Using Deep Learning Method for Semantic Segmentation (Article)
Autori Milosavljevic Aleksandar Lj  
Info ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, (2020), vol. 9 br. 1, str. -
Projekat Ministry of Education, Science and Technological Development, Republic of Serbia [III-43007, III-47003]
Ispravka Web of Science   Članak   Elečas   Rang časopisa   Citati: Web of Science   Scopus  
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Naslov Application of deep learning in aquatic bioassessment: Towards automated identification of non-biting midges (Article)
Autori Milosevic Djuradj D  Milosavljevic Aleksandar Lj  Predic Bratislav B  Medeiros Andrew S Savic-Zdravkovic Dimitrija N Stojkovic-Piperac Milica Kostic Tijana Spasic Filip Leese Florian 
Info SCIENCE OF THE TOTAL ENVIRONMENT, (2020), vol. 711 br. , str. -
Projekat Serbian Ministry of Education and Science [043002]
Ispravka Web of Science   Članak   Elečas   Rang časopisa   Citati: Web of Science   Scopus  
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