Rafia Mumtaz
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View article: Premature Ventricular Contractions as an Underrecognized Cause of Chronic Cough: A Case of Misdiagnosis in a Patient with Bronchiectasis
Premature Ventricular Contractions as an Underrecognized Cause of Chronic Cough: A Case of Misdiagnosis in a Patient with Bronchiectasis Open
View article: Orange yield estimation using object tracking and 3D reconstruction
Orange yield estimation using object tracking and 3D reconstruction Open
View article: A Case of Pulmonary Hemorrhage, Supratherapeutic International Normalized Ratio (INR), and Anti-neutrophil Cytoplasmic Antibody (ANCA)-Associated Vasculitis: Unmasking a Potential Link to Tirzepatide
A Case of Pulmonary Hemorrhage, Supratherapeutic International Normalized Ratio (INR), and Anti-neutrophil Cytoplasmic Antibody (ANCA)-Associated Vasculitis: Unmasking a Potential Link to Tirzepatide Open
Glucagon-like peptide-1 receptor agonists (GLP-1RAs), such as tirzepatide (Mounjaro), are widely used for type 2 diabetes and obesity, but their effects on drug metabolism and immune regulation remain areas of concern. We report a 64-year-…
View article: A Diagnostic Dilemma: Daptomycin-Induced Drug Reaction With Eosinophilia and Systemic Symptoms (DRESS) Syndrome and Eosinophilic Pneumonia With Concurrent COVID-19
A Diagnostic Dilemma: Daptomycin-Induced Drug Reaction With Eosinophilia and Systemic Symptoms (DRESS) Syndrome and Eosinophilic Pneumonia With Concurrent COVID-19 Open
Adverse drug reactions are critical considerations in managing complex medical conditions. Drug reaction with eosinophilia and systemic symptoms (DRESS) syndrome is a rare but potentially life-threatening hypersensitivity reaction characte…
View article: Enhancing Ransomware Detection with Machine Learning Techniques and Effective API Integration
Enhancing Ransomware Detection with Machine Learning Techniques and Effective API Integration Open
View article: Wheat leaf localization and segmentation for yellow rust disease detection in complex natural backgrounds
Wheat leaf localization and segmentation for yellow rust disease detection in complex natural backgrounds Open
Wheat yellow rust disease poses a significant threat to global wheat yield and grain quality. Early detection of this disease will help to minimize the loss caused by its effects. Existing models work well on images taken in a controlled e…
View article: Fabric Defect Detection in Real World Manufacturing Using Deep Learning
Fabric Defect Detection in Real World Manufacturing Using Deep Learning Open
Defect detection is very important for guaranteeing the quality and pricing of fabric. A considerable amount of fabric is discarded as waste because of defects, leading to substantial annual losses. While manual inspection has traditionall…
View article: Unmanned surface vehicle for intelligent water quality assessment to promote sustainable human health
Unmanned surface vehicle for intelligent water quality assessment to promote sustainable human health Open
Deteriorating water quality poses a substantial risk to human health, with billions at risk of waterborne diseases due to contamination. Insufficient water quality data augment risks as conventional monitoring methods lack comprehensive co…
View article: Cardiac Arrhythmia Classification Using Advanced Deep Learning Techniques on Digitized ECG Datasets
Cardiac Arrhythmia Classification Using Advanced Deep Learning Techniques on Digitized ECG Datasets Open
ECG classification or heartbeat classification is an extremely valuable tool in cardiology. Deep learning-based techniques for the analysis of ECG signals assist human experts in the timely diagnosis of cardiac diseases and help save preci…
View article: ECTI DAMT & NCON 2024 Content Announcement Page
ECTI DAMT & NCON 2024 Content Announcement Page Open
AI Based Video Analytics:In this talk, we will present and discuss the current trends and researches in video analytics.As surveillance cameras have been widely installed worldwide, although the main purpose of those cameras is for monitor…
View article: Data-Driven Spatial Analysis of Reforestation in Pakistan: Identifying Optimal Locations for Sustainable Forest Growth and Climate Change Mitigation
Data-Driven Spatial Analysis of Reforestation in Pakistan: Identifying Optimal Locations for Sustainable Forest Growth and Climate Change Mitigation Open
As the world’s second-largest carbon storehouse after oceans, forests mitigate global warming and its associated climate change challenges. Hence, forest conservation efforts such as reforestation are crucial in maintaining this vital ecol…
View article: Validation and Effectiveness of Self-Assessment Scale on Active Learning and Critical Thinking (SSACT) using Flipped Classroom and Journal Club Techniques
Validation and Effectiveness of Self-Assessment Scale on Active Learning and Critical Thinking (SSACT) using Flipped Classroom and Journal Club Techniques Open
Background: Rapid changes in medical education have led to the inclusion of different teaching strategies in the curriculum. Journal clubs and flipped classrooms are innovative techniques that are used worldwide. We have combined these tec…
View article: Impact of Green Energy Transportation Systems on Urban Air Quality: A Predictive Analysis Using Spatiotemporal Deep Learning Techniques
Impact of Green Energy Transportation Systems on Urban Air Quality: A Predictive Analysis Using Spatiotemporal Deep Learning Techniques Open
Transitioning to green energy transport systems, notably electric vehicles, is crucial to both combat climate change and enhance urban air quality in developing nations. Urban air quality is pivotal, given its impact on health, necessitati…
View article: Integrated digital image processing techniques and deep learning approaches for wheat stripe rust disease detection and grading
Integrated digital image processing techniques and deep learning approaches for wheat stripe rust disease detection and grading Open
This study proposes integrated image processing and deep learning approaches for wheat rust disease detection and grading. Wheat stripe rust is one of the diseases affecting the crop in nearly all wheat-growing countries, where humidity an…
View article: Assessment of the monsoonal impact of air pollutants and meteorological factors on physicochemical water quality parameters using remote sensing
Assessment of the monsoonal impact of air pollutants and meteorological factors on physicochemical water quality parameters using remote sensing Open
With growing urbanization, water contamination has become a problem. The water quality is assessed using physicochemical parameters and requires manual collection. Moreover, physicochemical parameters are insufficient for water quality mon…
View article: Embedded AI for Wheat Yellow Rust Infection Type Classification
Embedded AI for Wheat Yellow Rust Infection Type Classification Open
Wheat is the most important and dominating crop in Pakistan in terms of production and acreage, which is grown on 37% of the cultivated area, accounting for 70% of the total production. However, wheat yield is highly affected by stripe rus…
View article: Tackling Food Insecurity Using Remote Sensing and Machine Learning-Based Crop Yield Prediction
Tackling Food Insecurity Using Remote Sensing and Machine Learning-Based Crop Yield Prediction Open
Precise estimation of crop yield is crucial for ensuring food security, managing the supply chain, optimally utilizing resources, promoting economic growth, enhancing climate resilience, controlling losses, and mitigating risks in the agri…
View article: An Enhanced Water Quality Index for Water Quality Monitoring Using Remote Sensing and Machine Learning
An Enhanced Water Quality Index for Water Quality Monitoring Using Remote Sensing and Machine Learning Open
Water quality deterioration is a serious problem with the increase in the urbanization rate. However, water quality monitoring uses grab sampling of physico-chemical parameters and a water quality index method to assess water quality. Both…
View article: A Multi–Step Approach for Optically Active and Inactive Water Quality Parameter Estimation Using Deep Learning and Remote Sensing
A Multi–Step Approach for Optically Active and Inactive Water Quality Parameter Estimation Using Deep Learning and Remote Sensing Open
Water is a fundamental resource for human survival but the consumption of water that is unfit for drinking leads to serious diseases. Access to high–resolution satellite imagery provides an opportunity for innovation in the techniques used…
View article: Multiclass Heartbeat Classification using ECG Signals and Convolutional Neural Networks
Multiclass Heartbeat Classification using ECG Signals and Convolutional Neural Networks Open
Given a large enough time series signal from an ECG signal, it is possible to identify and classify heartbeats not only into normal and abnormal classes but into multiple classes including but not limited to Normal beat, Paced beat, Atrial…
View article: How IoT-Driven Citizen Science Coupled with Data Satisficing Can Promote Deep Citizen Science
How IoT-Driven Citizen Science Coupled with Data Satisficing Can Promote Deep Citizen Science Open
To study and understand the importance of Internet of Things-driven citizen science (IoT-CS) combined with data satisficing, we set up and undertook a citizen science experiment for air quality (AQ) in four Pakistan cities using twenty-one…
View article: Permissions-Based Detection of Android Malware Using Machine Learning
Permissions-Based Detection of Android Malware Using Machine Learning Open
Malware applications (Apps) targeting mobile devices are widespread, and compromise the sensitive and private information stored on the devices. This is due to the asymmetry between informative permissions and irrelevant and redundant perm…
View article: Bacterial prediction using internet of things (IoT) and machine learning
Bacterial prediction using internet of things (IoT) and machine learning Open
Water is a basic and primary resource which is required for sustenance of life on the Earth. The importance of water quality is increasing with the ascending water pollution owing to industrialization and depletion of fresh water sources. …
View article: Assessment of correlation amongst physico-chemical, topographical, geological, lithological and soil type parameters for measuring water quality of Rawal watershed using remote sensing
Assessment of correlation amongst physico-chemical, topographical, geological, lithological and soil type parameters for measuring water quality of Rawal watershed using remote sensing Open
The quality of water is traditionally assessed by the collection of physico-chemical parameters, i.e., pH, turbidity, dissolved oxygen of the water bodies. However, the variations in environmental factors may have an impact on the quality …
View article: Embedded AI-Based Digi-Healthcare
Embedded AI-Based Digi-Healthcare Open
Healthcare is an indispensable part of human life and chronic illnesses like cardiovascular diseases (CVD) have a deeply negative impact on the healthcare sector. Since the ever-growing population of chronic patients cannot be managed at h…
View article: Wheat Yellow Rust Disease Infection Type Classification Using Texture Features
Wheat Yellow Rust Disease Infection Type Classification Using Texture Features Open
Wheat is a staple crop of Pakistan that covers almost 40% of the cultivated land and contributes almost 3% in the overall Gross Domestic Product (GDP) of Pakistan. However, due to increasing seasonal variation, it was observed that wheat i…
View article: A review of enabling technologies for Internet of Medical Things (IoMT) Ecosystem
A review of enabling technologies for Internet of Medical Things (IoMT) Ecosystem Open
The goal of Internet of Medical Things (IoMT) and digital healthcare systems is to provide people with the ease of receiving quality healthcare at the comfort of their homes. Hence, the aim of IoMT is the ubiquitous deployment of home-base…
View article: Super Resolution Generative Adversarial Network (SRGANs) for Wheat Stripe Rust Classification
Super Resolution Generative Adversarial Network (SRGANs) for Wheat Stripe Rust Classification Open
Wheat yellow rust is a common agricultural disease that affects the crop every year across the world. The disease not only negatively impacts the quality of the yield but the quantity as well, which results in adverse impact on economy and…
View article: Peer Review #2 of "Gray level co-occurrence matrix (GLCM) texture based crop classification using low altitude remote sensing platforms (v0.1)"
Peer Review #2 of "Gray level co-occurrence matrix (GLCM) texture based crop classification using low altitude remote sensing platforms (v0.1)" Open
Crop classification in early phenological stages has been a difficult task due to spectrum similarity of different crops.For this purpose, low altitude platforms such as drones have great potential to provide high resolution optical imager…
View article: Peer Review #3 of "Gray level co-occurrence matrix (GLCM) texture based crop classification using low altitude remote sensing platforms (v0.2)"
Peer Review #3 of "Gray level co-occurrence matrix (GLCM) texture based crop classification using low altitude remote sensing platforms (v0.2)" Open
Crop classification in early phenological stages has been a difficult task due to spectrum similarity of different crops.For this purpose, low altitude platforms such as drones have great potential to provide high resolution optical imager…