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Упит dcterms_creator_txt:Марјановић С.

1056 items

  • Landslide Susceptibility Analysis of Belgrade City Area

    Marjanović Miloš, Đurić Uroš, Abolmasov Biljana, Bogdanović Snežana (2014)

  • Preliminary analysis and monitoring of the road slope on the M-22 highroad near Ljig in Serbia using LIDAR data

    Marjanović Miloš, Abolmasov Biljana, Đurić Uroš, Bogdanović Snežana (2014)

  • Preliminary results of the Selanac debris flow modelling in RAMS - a case study

    Krušić Jelka, Andrejev Katarina, Abolmasov Biljana, Marjanović Miloš (2017)

  • Seismotectonic characteristics of 2010 Kraljevo seismic sequence (Internal Dinarides, central Serbia)

    Ana Mladenović, Vladica Cvetković, Ivan Dulić, Snežana Marjanović (2017)

  • Preliminary results of the Selanac debris flow modelling in RAMS - a case study

    Krušić Jelka, Andrejev Katarina, Abolmasov Biljana, Marjanović Miloš (2018)

  • Assessment of landslide-related hazard and risk on the road network of the Valjevo city, Serbia

    Marjanović Miloš, Abolmasov Biljana, Đurić Uroš, Krušić Jelka (2018)

  • Preliminary results of Selanac debris flow modelling in RAMMS

    Krušić Jelka, Abolmasov Biljana, Marjanović Miloš, Đurić Dragana (2018)

  • Assessment of landslide susceptibility using expert AHP method for the Ljubovija Municipality

    Krušić Jelka, Marjanović Miloš, Andrejev Katarina, Abolmasov Biljana (2018)

  • Landslide susceptibility assessment using SVM machine learning algorithm

    Marjanović Miloš, Kovačević Miloš, Bajat Branislav, Voženilek Vít (2011)

  • Impact of geo-environmental factors on landslide susceptibility using an AHP method: A case study of Fruška Gora Mt, Serbia

    Marjanović Miloš, Abolmasov Biljana, Đurić Uroš, Bogdanović Snežana (2013)

  • Ispitivanje uticaja jona bakra na karakteristike srebrnog praha dobijenog elektrolitičkim taloženjem iz nitratnog rastvora

    Ivanović Aleksandra, Dimitrijević Silvana, Marjanović Vesna, Vuković Nikola (2012)

  • Praktikum iz inženjerske geologije

    Miloš Marjanović, Biljana Abolmasov, Uroš Đurić, Jelka Krušić (2020)
    inženjerska geologija

  • Integrating landslide magnitude in the susceptibility assessment of the City of Doboj, using machine learning and heuristic approach

    Cvjetko Sandić, Miloš Marjanović, Biljana Abolmasov, Radislav Tošić (2023)
    In this work, landslide assessment of the Doboj City area was modeled by combining machine learning and heuristic tools. The machine learning part was used to map the Morphometric factor. i.e. probability of landslides based on relation between the magnitude of events and morphometric parameters: elevation, distance to streams, slope, profile curvature, and aspect. The Random Forest and Support Vector Machines algorithms were implemented in the learning protocol, which included several strategies: balancing of the training/testing set size, algorithm ...
    podložnost na kliženje, magnituda klizišta, mašinsko učenje, heuristički pristup, Doboj

  • Probabilistic analysis of anisotropic rock slope with reinforcement measures

    Zoran Berisavljević, Dušan Berisavljević, Miloš Marjanović, Svetlana Melentijević (2023)
    During the construction of E75 highway through Grdelica gorge in Serbia, a major failure occurred in the zone of reinforced rock slope. Excavation was performed in highly anisotropic Paleozoic schist rock formation. The reinforcement consisted of the two rows of micropile wall with pre-stressed anchors. Forces in anchors were monitored with load cells while benchmarks were installed for superficial displacement measurements. The aim of the study is to investigate possible causes of instability considering different probability distributions of the ...
    povratna analiza, tehnika optimizacije, verovatnoća loma, anizotropija čvrstoće

  • Named Entity Recognition for Distant Reading in ELTeC

    Francesca Frontini, Carmen Brando, Joanna Byszuk, Ioana Galleron, Diana Santos, Ranka Stanković (2020)
    Akcija COST „Udaljeno čitanje za evropsku književnu istoriju“, koja je počela 2017. godine, ima među svojim glavnim ciljevima stvaranje višejezične zbirke evropskih književnih tekstova (ELTeC) otvorenog koda. U ovom radu predstavljamo rad koji je obavljen na ručnom označavanju selekcije ELTeC kolekcije za imenovane entitete, kao i na proceni postojećih alata za prepoznavanje imenovanih entiteta u pogledu njihove sposobnosti da automatski urade takve anotacije. U poslednjem paragrafu se razmatraju zajedničke tačke između ove inicijative i CLARIN-a.
    ... c lu s io n o f c a te g o r ie s s u c h a s d e m o n y m s (D E M O ), p ro fe s s io n s a n d t i t le s (R O L E ) , w o rk s o f a r t (W O R K ) in th e ta g s e t , a lo n g s id e m o re c a n o n ic a l c a te g o r ie s , s u c h a s p e r - s o n n a m e s (P E ...
    ... r iv a te s p a c e o f a b o u rg e o is h o m e , s o m e th in g w h ic h d e m a n d s re s e a rc h e rs to b e a b le to d e te c t in d ic a to r s o f so c ia l s tru c tu re a n d ro le s , su c h a s h o n o r if ic s , n a m e s o f p ro fe s s io n s , e tc . ...
    ... ita l le t te r s in th e b e g in n in g o f s e n te n c e s , a n d it re c o g n is e s e n ti t ie s c o m p o s e d o f m o re th a n 4 to k e n s , w h ic h a re a c tu a lly ra re . Serbian: S rp N E R is a ru le b a s e d s y s te m a n d th e b e s t N E R to o ...

  • Developing Termbases for Expert Terminology under the TBX Standard

    http://gabp-dl.rgf.rs/s/repo/item-set/522 (2014)
    ... ❢r♦♠ t❡r♠❜❛s❡s ❛s ❝❡♥tr❛❧ r❡s♦✉r❝❡s ✐♥ ❛ ❝✉st♦♠ ✐♥✲❤♦✉s❡ s❝❤❡♠❡ t♦ st❛♥❞❛r❞ ❢♦r♠❛ts s✉❝❤ ❛s ❚❇❳ ❤❛s ❜❡❡♥ ♣r♦✈✐❞❡❞✱ ❜② ❛ ✇✐③❛r❞ ✐♥t❡❣r❛t❡❞ ✐♥ t❤❡ t❡r♠✐♥♦❧♦❣✐❝❛❧ ✐♥❢♦r♠❛t✐♦♥ s②st❡♠ s✉♣♣♦rt✐♥❣ t❤❡ t❡r♠❜❛s❡s✳ ❑❡②✇♦r❞s✿ ❚❡r♠❜❛s❡s✱ ❚❇❳ st❛♥❞❛r❞✱ ▲❛♥❣✉❛❣❡ ❘❡s♦✉r❝❡s✱ ❚❡r♠✐♥♦❧✲ ♦❣② ■♥t❡❣r❛t✐♦♥ ❛♥❞ P♦rt❛❜✐❧✐t② ...
    ... ❣❡♥❡r❛t❡❞ t♦ s♦❧✈❡ ♣r♦❜❧❡♠s✳ ❚♦ t❤❛t ❡♥❞ t❤❡② ❤❛✈❡ t♦ ❞❡s❝r✐❜❡ r❡❛❧ ❞❛t❛ ❛♥❞ ♠✉st ❜❡ ✐♥t❡r♥❛❧❧② ❝♦♥s✐st❡♥t ❬✷❪✳ ❇❡s✐❞❡s ❜❡✐♥❣ ✉s❡❞ ❢♦r tr❛♥s❧❛t✐♦♥ ♣✉r♣♦s❡s✱ t❡r♠❜❛s❡s ❞❡✈❡❧♦♣❡❞ ❛t ❋▼● ❛r❡ t❤✉s ✉s❡❞ ❢♦r ❝♦♥tr♦❧ ♦❢ ❞♦♠❛✐♥ ✈❛❧✉❡s✱ ❝❧❛ss✐✲ ✜❝❛t✐♦♥ ❛♥❞ s❡❛r❝❤ ✇✐t❤✐♥ ♠✐♥✐♥❣ ❛♥❞ ❣❡♦❧♦❣✐❝❛❧ s♦❢t✇❛r❡ s②st❡♠s✳ ✷✳✶ ...
    ... ✈❡rs✐♦♥ ✇❛s ✉s❡❞✱ r❛t❤❡r t❤❛♥ ❚❇❳ ❇❛s✐❝✱ ❛s ✐t ✐s ♠♦r❡ s✉✐t❛❜❧❡ ❢♦r ❝♦♠♣♦✉♥❞s✱ ✇✐t❤ ✐♥✢❡❝t✐♦♥❛❧ ❝❤❛r❛❝t❡r✐st✐❝s ♠♦r❡ ❝♦♠♣❧❡① t❤❛♥ t❤♦s❡ ♦❢ s✐♥❣❧❡ ✇♦r❞s✳ ◆❛♠❡❧②✱ ❚❇❳ ❇❛s✐❝ ❛❧❧♦✇s ❛ ❧✐♠✐t❡❞ s❡t ♦❢ ❞❛t❛ ❝❛t❡❣♦r✐❡s ❛♥❞ ❝❛♥♥♦t ❛❝❝❡♣t ♠♦r♣❤♦❧♦❣✐❝❛❧ ❛♥❞ s♦♠❡ ♦t❤❡r ✐♠♣♦rt❛♥t ✐♥❢♦r♠❛t✐♦♥✳ ❆❧❧ ❧❛♥❣✉❛❣❡s ✉s❡❞ ✐♥ ❛ ...

  • Оптимизација управљања процесима рекултивације површинских копова угља

    Bojan S. Dimitrijević (2014-05-30)
    Ширење површинске експлоатације минералних сировина а нарочито енергетских ресурсафосилних горива, чине површинске копове угља просторно доминантним објектима великих рударскихбасена како у нас тако и у свету. Експлоатациона активност, прати негативне еколошке утицаје наживотну средину шире околине, што нас обавезује на интегрално планирање, ревитализацију,рекултивацију и уређење нарушеног простора за његово поновно хумано коришћење упостексплоатационом периоду. Постексплоатационо санирање и уређење предела површинских коповаи одлагалишта односно нарушеног простора изазваног рударским радовима и пратећих објеката,представља синтетички мултидисциплинарно-интердисциплинаран веома комплексан вишефазниинжењерски пројектни задатак.У уводном ...
    рекултивација, постексплоатациони предео, површински коп угља,вишеатрибутна анализа, одлучивање, процеси, рекултивационо решење
    ... as) s = 2 x = 7 - 4 = 3 1 s = 3 x = 7 - 5 = 2 1 s = 4 x = 7 - 4 = 3 1 s = 5 x = 7 - 7 = 0 0 s = 6 x = 7 - 7 = 0 0 s = 7 x = 7 - 4 = 3 1 s = 8 x = 7 - 4 = 3 1 s = 9 x = 7 - 4 = 3 1 s = 10 x = 7 - 1.5 = 5.5 1 a2, as x = k2(a2) - k2(as) P2(a2, as) s = 1 x = 4 - 7 = -3 0 s = 3 x = ...
    ... -1 0 s = 4 x = 4 - 4 = 0 0 s = 5 x = 4 - 7 = -3 0 s = 6 x = 4 - 7 = -3 0 s = 7 x = 4 - 4 = 0 0 s = 8 x = 4 - 4 = 0 0 s = 9 x = 4 - 4 = 0 0 s = 10 x = 4 - 1.5 = 2.5 1 a3, as x = k2(a3) - k2(as) P2(a3, as) s = 1 x = 5 - 7 = -2 0 s = 2 x = 5 - 4 = 1 1 s = 4 x = 5 - 4 = 1 1 s = 5 x ...
    ... 189 s = 2 x = 4 - 4 = 0 0 s = 3 x = 4 - 5 = -1 0 s = 5 x = 4 - 7 = -3 0 s = 6 x = 4 - 7 = -3 0 s = 7 x = 4 - 4 = 0 0 s = 8 x = 4 - 4 = 0 0 s = 9 x = 4 - 4 = 0 0 s = 10 x = 4 - 1.5 = 2.5 1 a5, as x = k2(a5) - k2(as) P2(a5, as) s = 1 x = 7 - 7 = 0 0 s = 2 x = 7 - 4 = 3 1 s = 3 x ...

  • A Knowledge-Based Approach to Mine Ventilation Planning in Yugoslav Mining Practice

    Nikola Lilić, Ivan Obradović, Ranka Stanković (2002)
    Ventilation system analysis is a complex process based on the calculation and analysis of numerous parameters. These problems can be successfully solved by the SimVent numerical package, but a full understanding and use of the obtained results require the involvement of an experienced specialist in the ventilation field. The solution was found in the creation of a hybrid system INVENTS, whose knowledge base represents a formalization of the expert knowledge in the mine ventilation field. In this paper, we ...
    ... 4 m 3 /s 2 7 ,7 m 3 /s 5,7 m 3 /s 1 1 ,7 m 3 /s 1 6 ,1 m 3 /s 1 6 ,1 m 3 /s 1 1 ,6 m 3 /s 3 3 ,4 m 3 /s 9,0m 3 /s 42,4 m3 /s 33,4 m 3 /s 3 4 5 6 7 8 1 0 4 ,4 m 3 /s 8 ,9 m 3 /s 6 ,8 m 3 /s 4 ,4 m 3 /s 2 ,8 m 3 /s 2 7 ,7 m 3 /s 1 6 ,1 m 3 /s - ...
    ... / s 3 2 .1 0 m / s 3 9 .3 9 2 2 N s /m 2 8 0 .0 0 0 1 N s /m 2 8 0 .0 7 5 6 N s /m 2 8 1 3 .3 0 m / s 3 2 .8 0 m / s 3 8 .2 1 0 4 N s /m 2 8 5 .7 0 m / s 3 6 .0 5 2 3 N s /m 2 8 0 .0 0 9 3 N s /m 2 82 7 .7 0 m / s 3 0 .0 6 9 3 N s /m ...
    ... .4 1 0 6 N s /m 2 8 3 4 .4 0 m / s 3 1 8 .2 2 m / s 3 0 .0 3 4 7 N s /m 2 80 .8 6 4 5 N s /m 2 8 2 .8 7 9 1 N s /m 2 8 1 0 .6 4 m / s 3 8 .1 m / s 3 0 .1 4 m / s 3 9 .0 3 3 9 N s /m 2 8 0 .0 0 0 1 N s /m 2 8 0 .0 7 5 6 N s /m 2 8 1 6 ...

  • A review of Pb-Sb(As)-S, Cu(Ag)-Fe(Zn)-Sb(As)-S, Ag(Pb)-Bi(Sb)-S and Pb-Bi-S(Te) sulfosalt systems from the Boranja orefield, West Serbia

    Radosavljević Slobodan, Stojanović Jovica, Pačevski Aleksandar, Radosavljević-Mihajlović Ana, Kašić Vladan (2016)

  • Multivarijabilni modeli upravljanja u rudarstvu

    Marjan M. Hudej (2014-02-03)
    osetljivost i rizik. Više pobuda generiše ovakvu atribuciju. Prva je, multivarijabilnostambijentalnih uslova i funkcionalna i strukturna složenost rudarskih sistema (čovek -priroda (radna sredina) - mašina – okruženje); Druga se odnosi na ne postojanje opštenaučne saglasnosti oko ocene pogodnosti modela za podršku odlučivanju i upravljanje.Treća, ako bi saglasnost i postojala, nije sigurno da bi raspoloživi modeli, metode i taktike,dale ekvivalentne rezultate za iste rudničke uslove. Četvrta, sistemske nauke još uveknemaju opšte prihvaćen i u praksi primenljiv algoritam izbora najboljeg rešenja ...
    rudarstvo, odlučivanje, upravljanje, model,multivarijabilno, multiatributno, multikriterijumsko
    ... as) s = 2 x = 8 - 10 = -2 1 s = 2 x = 8 - 8 = 0 0 s = 3 x = 8 - 12 = -4 1 s = 3 x = 8 - 5 = 3 1 s = 4 x = 8 - 12 = -4 1 s = 4 x = 8 - 4 = 4 1 a2, as x = k3(a2) - k3(as) P3(a2, as) a2, as x = k4(a2) - k4(as) P4(a2, as) s = 1 x = 10 - 8 = 2 0 s = 1 x = 8 - 8 = 0 0 s = 3 x ...
    ... -2 1 s = 3 x = 8 - 5 = 3 1 s = 4 x = 10 - 12 = -2 1 s = 4 x = 8 - 4 = 4 1 a3, as x = k3(a3) - k3(as) P3(a3, as) a3, as x = k4(a3) - k4(as) P4(a3, as) s = 1 x = 12 - 8 = 4 0 s = 1 x = 5 - 8 = -3 0 s = 2 x = 12 - 10 = 2 0 s = 2 x = 5 - 8 = -3 0 s = 4 x = 12 - 12 = 0 0 s = 4 x ...
    ... as) s = 2 x = 7 - 8 = -1 0 s = 3 x = 7 - 6 = 1 1 s = 4 x = 7 - 6 = 1 1 a2, as x = k5(a2) - k5(as) P5(a2, as) s = 1 x = 8 - 7 = 1 1 s = 3 x = 8 - 6 = 2 1 s = 4 x = 8 - 6 = 2 1 a3, as x = k5(a3) - k5(as) P5(a3, as) s = 1 x = 6 - 7 = -1 0 s = 2 x = 6 - 8 = -2 0 s = 4 ...