Search Results - "Rafia Mumtaz"
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Precision Agriculture Techniques and Practices: From Considerations to Applications
Published in Sensors (Basel, Switzerland) (02-09-2019)“…Internet of Things (IoT)-based automation of agricultural events can change the agriculture sector from being static and manual to dynamic and smart, leading…”
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Efficient Water Quality Prediction Using Supervised Machine Learning
Published in Water (Basel) (01-11-2019)“…Water makes up about 70% of the earth’s surface and is one of the most important sources vital to sustaining life. Rapid urbanization and industrialization…”
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Gray level co-occurrence matrix (GLCM) texture based crop classification using low altitude remote sensing platforms
Published in PeerJ. Computer science (19-05-2021)“…Crop classification in early phenological stages has been a difficult task due to spectrum similarity of different crops. For this purpose, low altitude…”
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Analysis of water quality indices and machine learning techniques for rating water pollution: a case study of Rawal Dam, Pakistan
Published in Water science & technology. Water supply (01-09-2021)“…Abstract Water Quality Index (WQI) is a unique and effective rating technique for assessing the quality of water. Nevertheless, most of the indices are not…”
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Wheat Yellow Rust Disease Infection Type Classification Using Texture Features
Published in Sensors (Basel, Switzerland) (27-12-2021)“…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…”
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Super Resolution Generative Adversarial Network (SRGANs) for Wheat Stripe Rust Classification
Published in Sensors (Basel, Switzerland) (26-11-2021)“…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…”
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A Multi–Step Approach for Optically Active and Inactive Water Quality Parameter Estimation Using Deep Learning and Remote Sensing
Published in Water (Basel) (01-07-2022)“…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…”
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An Enhanced Water Quality Index for Water Quality Monitoring Using Remote Sensing and Machine Learning
Published in Applied sciences (01-12-2022)“…Water quality deterioration is a serious problem with the increase in the urbanization rate. However, water quality monitoring uses grab sampling of…”
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Fabric Defect Detection in Real World Manufacturing Using Deep Learning
Published in Information (Basel) (01-08-2024)“…Defect detection is very important for guaranteeing the quality and pricing of fabric. A considerable amount of fabric is discarded as waste because of…”
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Assessment of the monsoonal impact of air pollutants and meteorological factors on physicochemical water quality parameters using remote sensing
Published in Journal of water and climate change (01-07-2023)“…Abstract With growing urbanization, water contamination has become a problem. The water quality is assessed using physicochemical parameters and requires…”
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A Multi-Modal Approach for Crop Health Mapping Using Low Altitude Remote Sensing, Internet of Things (IoT) and Machine Learning
Published in IEEE access (2020)“…The agriculture sector holds paramount importance in Pakistan due to the intrinsic agrarian nature of the economy. Pakistan has its GDP based on agriculture,…”
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Unmanned surface vehicle for intelligent water quality assessment to promote sustainable human health
Published in Water science & technology. Water supply (01-07-2024)“…ABSTRACT Deteriorating water quality poses a substantial risk to human health, with billions at risk of waterborne diseases due to contamination. Insufficient…”
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Cardiac Arrhythmia Classification Using Advanced Deep Learning Techniques on Digitized ECG Datasets
Published in Sensors (Basel, Switzerland) (01-04-2024)“…ECG classification or heartbeat classification is an extremely valuable tool in cardiology. Deep learning-based techniques for the analysis of ECG signals…”
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14
Bacterial prediction using internet of things (IoT) and machine learning
Published in Environmental monitoring and assessment (01-02-2022)“…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…”
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Embedded AI for Wheat Yellow Rust Infection Type Classification
Published in IEEE access (01-01-2023)“…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…”
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A review of enabling technologies for Internet of Medical Things (IoMT) Ecosystem
Published in Ain Shams Engineering Journal (01-06-2022)“…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…”
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Wheat leaf localization and segmentation for yellow rust disease detection in complex natural backgrounds
Published in Alexandria engineering journal (01-11-2024)“…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…”
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How IoT-Driven Citizen Science Coupled with Data Satisficing Can Promote Deep Citizen Science
Published in Sensors (Basel, Switzerland) (21-04-2022)“…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…”
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Impact of Green Energy Transportation Systems on Urban Air Quality: A Predictive Analysis Using Spatiotemporal Deep Learning Techniques
Published in Energies (Basel) (01-08-2023)“…Transitioning to green energy transport systems, notably electric vehicles, is crucial to both combat climate change and enhance urban air quality in…”
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Assessment of correlation amongst physico-chemical, topographical, geological, lithological and soil type parameters for measuring water quality of Rawal watershed using remote sensing
Published in Water science & technology. Water supply (01-04-2022)“…Abstract The quality of water is traditionally assessed by the collection of physico-chemical parameters, i.e., pH, turbidity, dissolved oxygen of the water…”
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