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Autori: Simic Vladimir D

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Naslov Enhanced prediction of parking occupancy through fusion of adaptive neuro-fuzzy inference system and deep learning models (Article)
Autori Elomiya Akram  Krupka Jiri  Jovcic Stefan  Simic Vladimir D 
Info ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, (2024), vol. 129 br. , str. -
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa  
Naslov A single-valued neutrosophic-based methodology for selecting warehouse management software in sustainable logistics systems (Article)
Autori Kara Karahan  Yalcin Galip Cihan  Simic Vladimir D  Onden Ismail  Edinsel Sercan  Bacanin Nebojsa 
Info ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, (2024), vol. 129 br. , str. -
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Naslov Psychological factors shaping public acceptance of the adoption of autonomous vehicles in Indonesia (Article)
Autori Sitinjak Charli  Simic Vladimir D  Pamucar Dragan S 
Info JOURNAL OF TRANSPORT & HEALTH, (2024), vol. 34 br. , str. -
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Naslov The FMEA model based on LOPCOW-ARAS methods with interval-valued Fermatean fuzzy information for risk assessment of R&D projects in industrial robot offline programming systems (Article)
Autori Rong Yuan  Yu Liying  Liu Yi  Simic Vladimir D  Garg Harish 
Info COMPUTATIONAL & APPLIED MATHEMATICS, (2024), vol. 43 br. 1, str. -
Projekat General Program of the National Natural Science Foundation of China; Ministry of Education Humanities and Social Sciences Research Planning Fund Project [23YJA630122]; [12071280]
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Naslov Prioritization of crowdsourcing models for last-mile delivery using fuzzy Sugeno-Weber framework (Article)
Autori Pamucar Dragan S  Lazarevic Dragan M  Dobrodolac Momcilo  Simic Vladimir D  Gorcun Omer Faruk 
Info ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, (2024), vol. 128 br. , str. -
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Naslov The MEREC-AROMAN method for determining sustainable competitiveness levels: A case study for Turkey (Article)
Autori Kara Karahan  Yalcin Galip Cihan  Acar Avni Zafer  Simic Vladimir D  Konya Serkan  Pamucar Dragan S 
Info SOCIO-ECONOMIC PLANNING SCIENCES, (2024), vol. 91 br. , str. -
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Naslov A fuzzy multi-objective optimization model for sustainable healthcare supply chain network design (Article)
Autori Ala Ali  Goli Alireza  Mirjalili Seyedali  Simic Vladimir D 
Info APPLIED SOFT COMPUTING, (2024), vol. 150 br. , str. -
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Naslov Selection of the best Big Data platform using COBRAC-ARTASI methodology with adaptive standardized intervals (Article)
Autori Pamucar Dragan S  Simic Vladimir D  Gorcun Omer Faruk  Kucukonder Hande 
Info EXPERT SYSTEMS WITH APPLICATIONS, (2024), vol. 239 br. , str. -
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Naslov Selecting the ideal sustainable green strategy for logistics companies using a T-spherical fuzzy-based methodology (Article)
Autori Aytekin Ahmet  Korucuk Selcuk  Bedirhanoglu Sule Bayazit  Simic Vladimir D 
Info ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, (2024), vol. 127 br. , str. -
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Naslov Cloud-load forecasting via decomposition-aided attention recurrent neural network tuned by modified particle swarm optimization (Article)
Autori Predic Bratislav B  Jovanovic Luka Z  Simic Vladimir D  Bacanin Nebojsa  Zivkovic Miodrag Z  Spalevic Petar C  Budimirovic Nebojsa  Dobrojevic Milos 
Info COMPLEX & INTELLIGENT SYSTEMS, (2024), vol. 10 br. 2, str. 2249-2269
Projekat This research was supported by the Science Fund of the Republic of Serbia-IDEA#7751676 and Ministry of Science, Technological Development and Innovations of the Republic of Serbia-TR32023 and TR35026. [7751676]; Science Fund of the Republic of Serbia-IDEA [TR32023, TR35026]; Ministry of Science, Technological Development and Innovations of the Republic of Serbia
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