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McSharry, Patrick
133  Ergebnisse:
Personensuche X
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1

Estimating urban GDP growth using nighttime lights and mach..:

McSharry, Patrick ; Mawejje, Joseph
Technological Forecasting and Social Change.  203 (2024)  - p. 123399 , 2024
Link: https://doi.org/10.1016/..
 
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2

Deep Learning Inter-city Road Conditions in East Africa Foc..:

Uwizera, Davy K. ; Ruranga, Charles ; McSharry, Patrick
SAIEE Africa Research Journal.  114 (2023)  1 - p. 14-24 , 2023
Link: https://doi.org/10.23919..
 
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3

Determinants of shock-coping mechanisms adoption and rural ..:

Nkurunziza, Fabrice ; Kabanda, Richard ; McSharry, Patrick
Cogent Economics & Finance.  11 (2023)  2 - p. , 2023
Link: https://doi.org/10.1080/..
 
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4

Classifying Economic Areas for Urban Planning using Deep Le..:

Uwizera, Davy K. ; Ruranga, Charles ; McSharry, Patrick
SAIEE Africa Research Journal.  113 (2022)  4 - p. 138-151 , 2022
Link: https://doi.org/10.23919..
 
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5

The economic cost of conflict: Evidence from South Sudan:

Mawejje, Joseph ; McSharry, Patrick
Review of Development Economics.  25 (2021)  4 - p. 1969-1990 , 2021
Link: https://doi.org/10.1111/..
 
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6

Sana.PCHR: Patient-Controlled Electronic Health Records for..:

, In: Leveraging Data Science for Global Health,
McSharry, Patrick ; Prawira Putra, Andre ; Shin, Rachel... - p. 429-441 , 2020
Link: https://doi.org/10.1007/..
 
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7

List of Contributors:

, In: Risk Modeling for Hazards and Disasters,
Bates, Paul D. ; Bauer, Michael A. ; Bickley, Helena... - p. ix-x , 2018
Link: https://doi.org/10.1016/..
 
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8

Parsimonious Risk Assessment and the Role of Transparent Di..:

, In: Risk Modeling for Hazards and Disasters,
McSharry, Patrick - p. 263-269 , 2018
Link: https://doi.org/10.1016/..
 
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9

How well do experience curves predict technological progres..:

Lafond, François ; Bailey, Aimee Gotway ; Bakker, Jan David...
Technological Forecasting and Social Change.  128 (2018)  - p. 104-117 , 2018
Link: https://doi.org/10.1016/..
 
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10

Constructing spatiotemporal poverty indices from big data:

Njuguna, Christopher ; McSharry, Patrick
Journal of Business Research.  70 (2017)  - p. 318-327 , 2017
Link: https://doi.org/10.1016/..
 
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11

Empirical prediction intervals improve energy forecasting:

Kaack, Lynn H. ; Apt, Jay ; Morgan, M. Granger.
Proceedings of the National Academy of Sciences.  114 (2017)  33 - p. 8752-8757 , 2017
Link: https://doi.org/10.1073/..
 
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12

Forecasting and monitoring maize production using satellite..:

, In: 2017 IEEE Technological Innovations in ICT for Agriculture and Rural Development (TIAR),
Uwizera, Davy ; McSharry, Patrick - p. 51-56 , 2017
Link: https://doi.org/10.1109/..
 
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13

Empirical prediction intervals improve energy forecasting:

Kaack, Lynn H. ; Apt, Jay ; Morgan, M. Granger.
Proceedings of the National Academy of Sciences of the United States of America.  114 (2017)  33 - p. 8752-8757 , 2017
Link: https://www.jstor.org/st..
 
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14

Objective Classification of Rainfall in Northern Europe for..:

Löwe, Roland ; Madsen, Henrik ; McSharry, Patrick
Water.  8 (2016)  3 - p. 87 , 2016
Link: https://doi.org/10.3390/..
 
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15

Improving accuracy and usability of growth charts: case stu..:

Brown, Suzana ; McSharry, Patrick
BMJ Open.  6 (2016)  1 - p. e009046 , 2016
Link: https://doi.org/10.1136/..
 
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