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Mittal, Harshita
20  Ergebnisse:
Personensuche X
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1

Burden and risk factors for antenatal depression and its ef..:

Khanam, Rasheda ; Applegate, Jennifer ; Nisar, Imran...
PLOS ONE.  17 (2022)  2 - p. e0263091 , 2022
Link: https://doi.org/10.1371/..
 
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2

Machine learning guided postnatal gestational age assessmen..:

Sazawal, Sunil ; Ryckman, Kelli K. ; Das, Sayan...
BMC Pregnancy and Childbirth.  21 (2021)  1 - p. , 2021
Link: https://doi.org/10.1186/..
 
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3

Machine learning prediction of gestational age from metabol..:

Sazawal, Sunil ; Das, Sayan ; Ryckman, Kelli K...
https://researchonline.lshtm.ac.uk/id/eprint/4670647/1/Sazawal-etal-2022-Machine-learning-prediction-of-gestational.pdf.  , 2022
Link: https://researchonline.l..
 
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4

Using AMANHI-ACT cohorts for external validation of Iowa ne..:

Sazawal, Sunil ; Ryckman, Kelli K ; Mittal, Harshita...
https://ecommons.aku.edu/pakistan_fhs_mc_women_childhealth_paediatr/1040.  , 2021
Link: https://ecommons.aku.edu..
 
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5

Using AMANHI-ACT cohorts for external validation of Iowa ne..:

Sazawal, Sunil ; Ryckman, Kelli K ; Mittal, Harshita...
https://researchonline.lshtm.ac.uk/id/eprint/4670655/1/Sazawal-etal-2021-Using-amanhi-act-cohorts-for.pdf.  , 2021
Link: https://researchonline.l..
 
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6

Burden and risk factors for antenatal depression and its ef..:

Rasheda Khanam ; Jennifer Applegate ; Imran Nisar...
https://doi.org/10.1371/journal.pone.0263091.  , 2022
Link: https://doi.org/10.1371/..
 
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7

Machine learning guided postnatal gestational age assessmen..:

Sunil Sazawal ; Kelli K. Ryckman ; Sayan Das...
https://doi.org/10.1186/s12884-021-04067-y.  , 2021
Link: https://doi.org/10.1186/..
 
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8

Additional file 1 of Machine learning guided postnatal gest..:

Sunil Sazawal (243794) ; Kelli K. Ryckman (6834191) ; Sayan Das (89050)...
https://figshare.com/articles/journal_contribution/Additional_file_1_of_Machine_learning_guided_postnatal_gestational_age_assessment_using_new-born_screening_metabolomic_data_in_South_Asia_and_sub-Saharan_Africa/16584402.  , 2021
Link: https://doi.org/10.6084/..
 
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9

CodeFed: Federated Speech Recognition for Low-Resource Code..:

Madan, Chetan ; Diddee, Harshita ; Kumar, Deepika.
ACM Transactions on Asian and Low-Resource Language Information Processing.  23 (2024)  1 - p. 1-14 , 2024
Link: https://doi.org/10.1145/..
 
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10

A Multiple Linear Regression-Based Model for Determining St..:

, In: Advances in Data-Driven Computing and Intelligent Systems; Lecture Notes in Networks and Systems,
Mehra, Harshita ; Mittal, Vriddhi ; Vij, Sonakshi. - p. 371-388 , 2023
Link: https://doi.org/10.1007/..
 
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11

Waste Heat Potential and Power Generation: A Comprehensive ..:

, In: 2023 6th International Conference on Contemporary Computing and Informatics (IC3I),
Mittal, Amit ; Joshi, Harshita - p. 528-532 , 2023
Link: https://doi.org/10.1109/..
 
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12

Comparative Analysis of Classifiers in a Plant Recommendati..:

, In: 2023 International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT),
Mittal, Rohan ; Mandava, Sreenitya ; Shetty, Tanmay S.. - p. 689-694 , 2023
Link: https://doi.org/10.1109/..
 
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13

Smart Mushroom Cultivation: Enhancing Growth Conditions thr..:

, In: 2023 International Conference on Advances in Computation, Communication and Information Technology (ICAICCIT),
Rana, Ishaan ; Gupta, Ankit ; Mittal, Rakshit... - p. 550-555 , 2023
Link: https://doi.org/10.1109/..
 
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14

An evaluation of denoising techniques and classification of..:

Arora, Shefali ; Mittal, Ruchi ; Kukreja, Harshita.
Multimedia Tools and Applications.  82 (2022)  6 - p. 8287-8302 , 2022
Link: https://doi.org/10.1007/..
 
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15

Pediatric onset lupus nephritis in western India—is it diff..:

Mittal, Aliza ; Bamnawat, Harshita ; Nalwa, Aasma...
Lupus.  30 (2021)  12 - p. 2008-2016 , 2021
Link: https://doi.org/10.1177/..
 
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