Search Results - "Qasim, Shah Rukh"

  • Showing 1 - 14 results of 14
Refine Results
  1. 1

    Learning representations of irregular particle-detector geometry with distance-weighted graph networks by Qasim, Shah Rukh, Kieseler, Jan, Iiyama, Yutaro, Pierini, Maurizio

    “…We explore the use of graph networks to deal with irregular-geometry detectors in the context of particle reconstruction. Thanks to their…”
    Get full text
    Journal Article
  2. 2

    Multi-particle reconstruction in the High Granularity Calorimeter using object condensation and graph neural networks by Qasim, Shah Rukh, Long, Kenneth, Kieseler, Jan, Pierini, Maurizio, Nawaz, Raheel

    Published in EPJ Web of conferences (2021)
    “…The high-luminosity upgrade of the LHC will come with unprecedented physics and computing challenges. One of these challenges is the accurate reconstruction of…”
    Get full text
    Journal Article Conference Proceeding
  3. 3

    End-to-end multi-particle reconstruction in high occupancy imaging calorimeters with graph neural networks by Qasim, Shah Rukh, Chernyavskaya, Nadezda, Kieseler, Jan, Long, Kenneth, Viazlo, Oleksandr, Pierini, Maurizio, Nawaz, Raheel

    “…We present an end-to-end reconstruction algorithm to build particle candidates from detector hits in next-generation granular calorimeters similar to that…”
    Get full text
    Journal Article
  4. 4
  5. 5

    End-to-end multi-particle reconstruction in high occupancy imaging calorimeters with graph neural networks by Qasim, Shah Rukh, Chernyavskaya, Nadezda, Kieseler, Jan, Long, Kenneth, Viazlo, Oleksandr, Pierini, Maurizio, Nawaz, Raheel

    Published 30-09-2022
    “…Eur. Phys. J. C 82, 753 (2022) We present an end-to-end reconstruction algorithm to build particle candidates from detector hits in next-generation granular…”
    Get full text
    Journal Article
  6. 6

    Learning representations of irregular particle-detector geometry with distance-weighted graph networks by Qasim, Shah Rukh, Kieseler, Jan, Iiyama, Yutaro, Pierini, Maurizio

    Published 24-07-2019
    “…Eur. Phys. J. C, 79 7 (2019) 608 We explore the use of graph networks to deal with irregular-geometry detectors in the context of particle reconstruction…”
    Get full text
    Journal Article
  7. 7

    GNN-based end-to-end reconstruction in the CMS Phase 2 High-Granularity Calorimeter by Bhattacharya, Saptaparna, Chernyavskaya, Nadezda, Ghosh, Saranya, Gray, Lindsey, Kieseler, Jan, Klijnsma, Thomas, Long, Kenneth, Nawaz, Raheel, Pedro, Kevin, Pierini, Maurizio, Pradhan, Gauri, Qasim, Shah Rukh, Viazlo, Oleksander, Zehetner, Philipp

    Published 02-03-2022
    “…We present the current stage of research progress towards a one-pass, completely Machine Learning (ML) based imaging calorimeter reconstruction. The model used…”
    Get full text
    Journal Article
  8. 8
  9. 9

    Rethinking Table Recognition using Graph Neural Networks by Qasim, Shah Rukh, Mahmood, Hassan, Shafait, Faisal

    “…Document structure analysis, such as zone segmentation and table recognition, is a complex problem in document processing and is an active area of research…”
    Get full text
    Conference Proceeding
  10. 10

    Tracking of charged particles with nanosecond lifetimes at LHCb by Adlarson, P., Alvarez Cartelle, P., Andreotti, M., Argenton, M., Bernet, R., Bernet Andres, S., Betancourt, C., Bieker, M. S., Boldyrev, A., Bozzi, C., Brodzicka, J., Burke, A. T., Burr, C., Campana, P., Casais Vidal, A., Cavallero, G., Chrzaszcz, M., Chubykin, A., Coco, V., Danilina, A., De Bruyn, K., Dedu, V., Didenko, S., Ding, S., Dowling, A. D., Dziurda, A., Egorychev, V., Eklund, L., Ellbracht, J., Fontana, M., Fu, J., Fulghesu, T., Gallas Torreira, A., Gao, Y., Garrido, L., Gersabeck, M., Gilman, A. L., Gomez Fernandez, S., Gooding, J. A., Grecu, A. T., Gu, C., Guittiere, M., Guseinov, A.-K., Hadavizadeh, T., Han, Q., Henderson, C., Henderson, R. D. L., Henry, L., Herd, J., Hutchcroft, D., Jans, E., Johnson, D., Korolev, M., Kostiuk, I., Kot, O., Lane, J. J., Lazzari, F., Lesiak, T., Li, L., Li, T., Lucchesi, D., Lukashenko, V., Mackey, L. M., Martinez Vidal, F., Mathad, A., Matteuzzi, C., Meier, G., Minucci, E., Moise, R. D., Neri, N., Nicolini, J., Nogga, P., Paul, A., Popov, D., Rodriguez Fernandez, E., Romero Vidal, A., Romolini, G., Sarpis, G., Scantlebury Smead, L. G., Scarabotto, A., Schmidt, B., Shi, B., Shorkin, R., Silva Coutinho, R., Skidmore, N., Slater, M. W., Solovyev, I., Song, Y. S., Stahl, M., Sutcliffe, W., Swallow, P. N., Vieites Diaz, M., Vos, K., Wang, G., Ward, J. A., Watson, N. K., Whitehead, M., Yang, D., Yang, Z., Zhovkovska, V.

    “…A method is presented to reconstruct charged particles with lifetimes between 10 ps and 10 ns , which considers a combination of their decay products and the…”
    Get full text
    Journal Article
  11. 11

    Study of b-hadron decays to Λc+h−h′− final states by Alessio, F., Amhis, Y., Andersson, M., Bieker, M. S., Bohare, A., Bolognani, C. S., Butkevich, A., Cardini, A., Castro Godinez, J., Cattaneo, M., Cavallero, G., Cesare, S., Chahrour, I., Chen, C., Chen, Z., Chubykin, A., Comerma-Montells, A., Contu, A., Dadabaev, S., Dai, X., De Aguiar Francisco, O., De Lucia, E., Denysenko, V., Dudek, M. W., Durham, J. M., Egorychev, A., Eklund, L., Falcao, L. N., Fazzini, D., Fernez, A. D., Fleuret, F., Gambetta, S., Gao, H., Garrido, L., Girardey, L., Glaser, F. C., Göbel, C., Goncalves Abrantes, F., Gooding, J. A., Gys, T., Hajheidari, M., Han, Q., Henderson, R. D. L., Henry, L., Hijano Mendizabal, G., Jiang, X., Kharisova, A., Kmiec, M. R., Kot, O., Kotriakhova, S., Kubis, S., Lai, A., Lazzari, F., Lesiak, T., Li, H., Liu, F. L., Liu, Y., Long, T., Lynch, K., Malczewski, J. J., Malinin, A., Matiunin, V., Maurice, E., Melnychuk, D., Merli, A., Mitzel, D. S., Mountain, R., Nicotra, D., Nikitin, N., Nogarolli, P., Oldeman, R., Owen, P., Patel, M., Pereima, D., Poluektov, A., Rademacker, J. H., Ricciardi, S., Rodrigues, E., Romanovskiy, V., Ryzhikov, A., Santimaria, M., Saputi, A., Schiller, M., Sergi, A., Silva Coutinho, R., Skidmore, N., Slater, M. W., Song, Y., Song, Y., Torres Machado, D., Van Hecke, H., Velthuis, J. J., Wang, J., Xu, M., Yang, D., Yeroshenko, V., Yin, H., Zhang, D., Zhang, Y., Zou, Q.

    “…A bstract Decays of Ξ b − and Ω b − baryons to Λ c + h − h ′ − final states, with h − h ′− being π − π − , K − π − and K − K − meson pairs, are searched for…”
    Get full text
    Journal Article
  12. 12

    Table Detection Using Deep Learning by Gilani, Azka, Qasim, Shah Rukh, Malik, Imran, Shafait, Faisal

    “…Table detection is a crucial step in many document analysis applications as tables are used for presenting essential information to the reader in a structured…”
    Get full text
    Conference Proceeding
  13. 13

    Rethinking Table Recognition using Graph Neural Networks by Qasim, Shah Rukh, Mahmood, Hassan, Shafait, Faisal

    Published 30-05-2019
    “…Document structure analysis, such as zone segmentation and table recognition, is a complex problem in document processing and is an active area of research…”
    Get full text
    Journal Article
  14. 14

    Multi-particle reconstruction in the High Granularity Calorimeter using object condensation and graph neural networks by Qasim, Shah Rukh, Long, Kenneth, Kieseler, Jan, Pierini, Maurizio, Nawaz, Raheel

    Published 02-06-2021
    “…The high-luminosity upgrade of the LHC will come with unprecedented physics and computing challenges. One of these challenges is the accurate reconstruction of…”
    Get full text
    Journal Article