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Browsing by Author "Haque, R."

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Now showing 1 - 18 of 18
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    A monoclonal antibody for distinction of invasive and noninvasive clinical isolates of Entamoeba histolytica
    (1992) Gonzalez-Ruiz, A.; Haque, R.; Rehman, T.; Aguirre, A.; Jaramillo, C.; Castañon, G.; Hall, A.; Guhl, F.; Ruiz-Palacios, G.; Warhurst, D.C.
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    Antibody isotype responses to antigens of Ascaris lumbricoides in a case-control study of persistently heavily infected Bangladeshi children
    (1995-09) Palmer, D.R.; Hall, A.; Haque, R.; Anwar, K.S.
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    Application of different PCR protocols for the detection of genetic polymorphism in Bangladesh entamoeba histolytica isolation[abstract]
    (2000-03) Ayeh-Kumi, P.F.; Haque, R.; Lockhart, L.; Clark, G.; Petri Jr., W.A.
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    Detection of Entamoeba histolytica infection : comparison of PCR, isoenzyme analysis, and antigen detection [abstract]
    (1997-09) Haque, R.; Ali, I.K.; Akther, S.; Petri, W.A.
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    Determination on entamoeba histolytica and entamoeba dispar infection in asymptomatic children by detection of galactose inhibitable adherence lectin
    (2001-09) Jilani, M.S.A.; Haque, R.; Ashraf, R.
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    Diagnosis of amebic dysentery by detection of Entamoeba histolytica fecal antigen by an invasive strain-specific, monoclonal antibody-based enzyme-linked immunosorbent assay
    (1994-04) Gonzalez-Ruiz, A.; Haque, R.; Rehman, T; Aguirre, A.; Hall, A.; Guhl, F.; Warhurst, D.C.; Miles, M.A.
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    Diagnosis of amebic liver abscess and intestinal infection with the techlab entamoeba histolytica II antigen detection and antibody tests[abstract]
    (2000-03) Haque, R.; Mollah, N.U.; Ali, A.K.M.; Alam, K.; Eubanks, A.; Lyerly, D.; Petri Jr., W.A.
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    Estimating the impact of amebiasis on health
    (2000-08) Petri Jr, W.A.; Haque, R.; Lyerly, D.; Vines, R.R.
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    Evaluation of indirect fluorescent antibody test and enzyme-linked immunosorbent assay for diagnosis of hepatic amebiasis in Bangladesh
    (2000-06) Shamsuzzaman, S.M.; Haque, R.; Hasin, S.K.; Hashiguchi, Y.
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    Genetic diversity among clinical isolates of entamoeba histolytica[abstract]
    (2001-09) Ayeh-Kumi, P.F.; Tanyuksel, M.; Ali, I.K.M.; Haque, R.; Petri Jr., W.A.
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    Laboratory diagnosis of Amoebiasis[abstract]
    (2001-09) Haque, R.; ALi, I.K.M.; Rahman, A.S.M.H.; Petri, W.A.
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    Prevalence of entamoeba hostolytica infection in children in Bangladesh[abstract]
    (1996) Haque, R.; Faruque, A.S.G.; Petri, W.A.
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    Rapid diagnosis of amebiasis by antigen detection[abstract]
    (1995) Haque, R.; Hahn, P.; Neville, L.M.; Shamsuzzaman, S.M.; Petri, W.A.
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    Salivary antilectin IgA antibodies in a cohort of children residing in an endemic area of Bangladesh
    (2000-07) Haque, R.; Ikm, A.; Petri, W.A. Jr.
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    Scientific Article Classification: Harnessing Hybrid Deep Learning Models for Knowledge Discovery
    (Institute of Electrical and Electronics Engineers Inc., 2023-11-03) Haque, R.; Parameshachari, B.D.; Hasan, M.K.; Sakib, A.H.; Rahman, A.U.; Islam, M.B.
    In an era defined by the explosive growth of the scientific literature, the imperative for effective methods of organizing, categorizing, and accessing scholarly articles has become paramount. This study addresses this crucial need by delving into the realm of scientific article classification, aiming to enhance accuracy through the innovative integration of hybrid deep neural networks. Focusing on domains including Computer Science, Mathematics, Physics, and Statistics, the research sought to improve categorization using advanced techniques. A comprehensive dataset of 20,006 abstracts was curated through rigorous data collection and preprocessing. Experimental models, spanning various RNN architectures and CNN-RNN based hybrids, were employed to assess the efficacy of the approach. The innovative integration of CNNs and RNNs pioneered new horizons in feature extraction. Key findings reveal the proficiency of hybrid models in capturing both local nuances and sequential dependencies within abstracts. Notably, the CNN-BiGRU model trained on Word2Vec embeddings exhibited highest F1 score of 91.32%. Furthermore, comparative analysis between GloVe and Word2Vec embeddings underscored the pivotal role of embeddings in extracting semantic information for accurate classification. © 2023 IEEE.
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    Study on antibody response to different zymodemes of entamoeba histolytica
    (1999-06) Akter, N.; Haque, R.; Rahman, K.M.
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    Value of microscopy in the diagnosis of dysentery associated with invasive Entamoeba histolytica
    (1994-03) González-Ruiz, A.; Haque, R.; Aguirre, A.; Castañón, G.; Hall, A.; Guhl, F.; Ruiz-Palacios, G.; Miles, M.A.; Warhurst, D.C.
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    Zymodemes of Entamoeba histolytica in Dhaka, Bangladesh
    (1990-12) Haque, R.; Hall, A.; Tzipori, S.

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