AIMC Topic: Pakistan
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Performance assessment of artificial neural networks and support vector regression models for stream flow predictions.
Environmental monitoring and assessment
Nov 8, 2018
Water resources planning, development, and management need reliable forecasts of river flows. In past few decades, an important dimension has been introduced in the prediction of the hydrologic phenomenon through artificial intelligence-based modelin...
Prevalence and possible factors associated with anaemia, and vitamin B and folate deficiencies in women of reproductive age in Pakistan: analysis of national-level secondary survey data.
BMJ open
Dec 22, 2017
OBJECTIVE: To determine the prevalence and possible factors associated with anaemia, and vitamin B and folate deficiencies in women of reproductive age (WRA) in Pakistan.
Decision Support System for Detection of Papilledema through Fundus Retinal Images.
Journal of medical systems
Mar 10, 2017
A condition in which the optic nerve inside the eye is swelled due to increased intracranial pressure is known as papilledema. The abnormalities due to papilledema such as opacification of Retinal Nerve Fiber Layer (RNFL), dilated optic disc capillar...
Development of sediment load estimation models by using artificial neural networking techniques.
Environmental monitoring and assessment
Oct 13, 2015
This study aims at the development of an artificial neural network-based model for the estimation of weekly sediment load at a catchment located in northern part of Pakistan. The adopted methodology has been based upon antecedent sediment conditions,...
Harnessing public sentiment discourse for early drought detection and water crisis response for strategic water management and resilient policy planning.
The Science of the total environment
Aug 10, 2025
The extensive and gradual onset of drought prompts critical examination of the alterations and engagement among substantial demographics during the drought's advancement and the consequent effects of such shifts on drought detection. This research ex...
Data-driven multi-hazard susceptibility and community perceptions assessment using a mixed-methods approach.
Journal of environmental management
Jul 1, 2025
Assessing multi-hazard susceptibility and understanding community insights are important for effective disaster risk management; however, limited research has been conducted to study these aspects together. This study uses a data-driven approach to a...
Integrating Artificial Intelligence for Patient Safety in Pakistan: Opportunities, Challenges, and Lessons from Low- and Middle-Income Countries.
Journal of the College of Physicians and Surgeons--Pakistan : JCPSP
Jun 1, 2025
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Machine learning-based detection and quantification of red blood cells in Cholistani cattle: A pilot study.
Research in veterinary science
Jun 1, 2025
This study presents the first account of using machine learning to detect and count normal and abnormal red blood cells (RBCs), including tear-drop cells and schistocytes, in Cholistani cattle from Pakistan. A Support Vector Machine (SVM) model was a...
Brick Kiln Dataset for Pakistan's IGP Region Using AI.
Scientific data
May 20, 2025
Brick kilns are a major source of air pollution in Pakistan, with many operating without regulation. A key challenge in Pakistan and across the Indo-Gangetic Plain is the limited air quality monitoring and lack of transparent data on pollution source...
Exploring dental faculty awareness, knowledge, and attitudes toward AI integration in education and practice: a mixed-method study.
BMC medical education
May 12, 2025
BACKGROUND: Dentistry is shifting from traditional to digital practices owing to the rapid development of "artificial intelligence" (AI) technology in healthcare systems. The dental curriculum lacks the integration of emerging technologies such as AI...
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