AIMC Topic: Pakistan

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Imputation by feature importance (IBFI): A methodology to envelop machine learning method for imputing missing patterns in time series data.

PloS one Jan 13, 2022
A new methodology, imputation by feature importance (IBFI), is studied that can be applied to any machine learning method to efficiently fill in any missing or irregularly sampled data. It applies to data missing completely at random (MCAR), missing ...
Soil Time Factors Pakistan Radon Machine Learning Algorithms Research Design
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A Deep Learning Based Approach for Localization and Recognition of Pakistani Vehicle License Plates.

Sensors (Basel, Switzerland) Nov 19, 2021
License plate localization is the process of finding the license plate area and drawing a bounding box around it, while recognition is the process of identifying the text within the bounding box. The current state-of-the-art license plate localizatio...
Deep Learning Pakistan
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Use of artificial intelligence on Electroencephalogram (EEG) waveforms to predict failure in early school grades in children from a rural cohort in Pakistan.

PloS one Feb 8, 2021
Universal primary education is critical for individual academic growth and overall adult productivity of nations. Estimates indicate that 25% of 59 million primary age out of school children drop out and early grade failure is one of the factors. An ...
Mathematics Education Rural Population Electroencephalography Pakistan Language Female Educational Status Educational Measurement Child Sensitivity and Specificity Male Humans Machine Learning Artificial Intelligence Algorithms
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Machine learning model demonstrates stunting at birth and systemic inflammatory biomarkers as predictors of subsequent infant growth - a four-year prospective study.

BMC pediatrics Oct 30, 2020
BACKGROUND: Stunting affects up to one-third of the children in low-to-middle income countries (LMICs) and has been correlated with decline in cognitive capacity and vaccine immunogenicity. Early identification of infants at risk is critical for earl...
Humans Machine Learning Female Infant, Newborn Infant Growth Disorders Prospective Studies Biomarkers Pregnancy Child, Preschool Child Pakistan
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Chest x-ray analysis with deep learning-based software as a triage test for pulmonary tuberculosis: a prospective study of diagnostic accuracy for culture-confirmed disease.

The Lancet. Digital health Oct 19, 2020
BACKGROUND: Deep learning-based radiological image analysis could facilitate use of chest x-rays as triage tests for pulmonary tuberculosis in resource-limited settings. We sought to determine whether commercially available chest x-ray analysis softw...
Sex Factors X-Rays Pakistan Tuberculosis, Pulmonary Mycobacterium tuberculosis HIV Infections Image Processing, Computer-Assisted Body Mass Index Radiology Sputum Age Factors Triage Middle Aged Lung Deep Learning Adult Sensitivity and Specificity Humans Male Female Young Adult Software Prospective Studies
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On the performance of fusion based planet-scope and Sentinel-2 data for crop classification using inception inspired deep convolutional neural network.

PloS one Sep 28, 2020
This research work aims to develop a deep learning-based crop classification framework for remotely sensed time series data. Tobacco is a major revenue generating crop of Khyber Pakhtunkhwa (KP) province of Pakistan, with over 90% of the country's To...
Triticum Pakistan Data Accuracy Satellite Imagery Vegetables Nicotiana Humans Deep Learning Agriculture
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Predictions of coronavirus COVID-19 distinct cases in Pakistan through an artificial neural network.

Epidemiology and infection Sep 21, 2020
This study presents the main motivation to investigate the COVID-19 pandemic, a major threat to the whole world from the day when it first emerged in China city of Wuhan. Predictions on the number of cases of COVID-19 are crucial in order to prevent ...
Humans Betacoronavirus Pneumonia, Viral Forecasting SARS-CoV-2 Coronavirus Infections Neural Networks, Computer Pakistan Pandemics COVID-19
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A forecasting model approach of sustainable electricity management by developing adaptive neuro-fuzzy inference system.

Environmental science and pollution research international Dec 16, 2019
With an exponential industrial growth, an accurate demand forecasting of energy is of prime importance for strategic decision-making and new power policies regarding generation and distribution in the power sector. This is a great impediment in econo...
Fuzzy Logic Pakistan Electricity Forecasting
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Molecular mechanisms of antibiotic co-resistance among carbapenem resistant Acinetobacter baumannii.

Journal of infection in developing countries Oct 31, 2019
INTRODUCTION: The spread of carbapenem-resistant Acinetobacter baumannii (CRAB) is difficult to control especially in the hospitals due to the successful mobilization and evolution of the genetic elements harboring the resistant determinants. The stu...
Colistin Tigecycline Tertiary Care Centers Male Humans Drug Resistance, Microbial Acinetobacter baumannii Microbial Sensitivity Tests beta-Lactamases Carbapenems Anti-Bacterial Agents Bacterial Proteins Pakistan Female Acinetobacter Infections
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Optical screening of hepatitis-B infected blood sera using optical technique and neural network classifier.

Photodiagnosis and photodynamic therapy Jul 9, 2019
In this study we demonstrate the analysis of biochemical changes in the human blood sera infected with Hepatitis B virus (HBV) using Raman spectroscopy. In total, 120 diseased blood samples and 170 healthy blood samples, collected from Pakistan Atomi...
Neural Networks, Computer Sensitivity and Specificity Tryptophan Hepatitis B Humans Spectrum Analysis, Raman Predictive Value of Tests Phenylalanine Serum Albumin Pakistan Bilirubin
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