Search Results - "Yaseen, T"
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Risk perception and behavioral change during epidemics: Comparing models of individual and collective learning
Published in PloS one (06-01-2020)“…Modern societies are exposed to a myriad of risks ranging from disease to natural hazards and technological disruptions. Exploring how the awareness of risk…”
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A Review on Bayesian Deep Learning in Healthcare: Applications and Challenges
Published in IEEE access (2022)“…In the last decade, Deep Learning (DL) has revolutionized the use of artificial intelligence, and it has been deployed in different fields of healthcare…”
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Expression and roles of GRAS gene family in plant growth, signal transduction, biotic and abiotic stress resistance and symbiosis formation—a review
Published in Plant biology (Stuttgart, Germany) (01-04-2022)“…The GRAS (derived from GAI, RGA and SCR) gene family consists of plant‐specific genes, works as a transcriptional regulator and plays a key part in the…”
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Geospatial Multi-Criteria Evaluation Using AHP–GIS to Delineate Groundwater Potential Zones in Zakho Basin, Kurdistan Region, Iraq
Published in Earth (Basel, Switzerland) (01-09-2023)“…Groundwater availability in the Zakho Basin faces significant challenges due to political issues, border stream control, climate change, urbanization, land use…”
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Digital Mapping of Soil Organic Matter in Northern Iraq: Machine Learning Approach
Published in Applied sciences (01-10-2023)“…Soil organic matter (SOM) is an essential component of soil fertility that plays a vital role in the preservation of healthy ecosystems. This study aimed to…”
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Ruta graveolens, Peganum harmala, and Citrullus colocynthis methanolic extracts have in vitro protoscolocidal effects and act against bacteria isolated from echinococcal hydatid cyst fluid
Published in Archives of microbiology (01-04-2022)“…Echinococcosis is a common and endemic disease that affects both humans and animals. In this study, the in vitro activities of methanolic extracts of Ruta…”
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Deep learning approaches for estimating forest vegetation cover and exploring influential ecosystem factors
Published in Earth science informatics (01-08-2024)“…Accurate estimation of forest vegetation cover and understanding of ecosystem factors are essential for effective forest management and planning. This study…”
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Assessing Spatial Patterns of Surface Soil Moisture and Vegetation Cover in Batifa, Kurdistan Region-Iraq: Machine learning approach
Published in IEEE access (01-01-2023)“…The accurate quantification of surface soil moisture (SSM) and vegetation cover using remote sensing techniques is essential for effective environmental…”
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Uncertainty Quantification for MLP-Mixer Using Bayesian Deep Learning
Published in Applied sciences (01-04-2023)“…Convolutional neural networks (CNNs) have become a popular choice for various image classification applications. However, the multi-layer perceptron mixer…”
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10
Bayesian networks for spatial learning: a workflow on using limited survey data for intelligent learning in spatial agent-based models
Published in GeoInformatica (01-04-2019)“…Machine learning (ML) algorithms steer agent decisions in agent-based models (ABMs), serving as a vehicle for implementing behaviour changes during simulation…”
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Geoinformatics-based frequency ratio, analytic hierarchy process and hybrid models for landslide susceptibility zonation in Kurdistan Region, Northern Iraq
Published in Environment, development and sustainability (01-03-2024)“…Landslides are among the most critical geo-environmental disasters for both humans and the environment. This study intended to create a landslide…”
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Globularia arabica Methanolic Leaf Extract Has Higher Efficacy on Burn Wound Healing in Diabetic Rats Compared to Malva slyvestries Methanolic Leaf Extract
Published in Journal of burn care & research (02-05-2023)“…Abstract This study aimed to see how effective Globularia arabica and Malva slyvestries-based cream formulations were at healing scald burn wounds in rats…”
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Leveraging Bayesian deep learning and ensemble methods for uncertainty quantification in image classification: A ranking-based approach
Published in Heliyon (30-01-2024)“…Bayesian deep learning (BDL) has emerged as a powerful technique for quantifying uncertainty in classification tasks, surpassing the effectiveness of…”
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In Vivo Therapeutic Effect of Some Medicinal Plants’ Methanolic Extracts on the Growth and Development of Secondary Hydatid Cyst Infection
Published in Acta parasitologica (01-12-2022)“…Purpose The current study aimed to explore the in vivo therapeutic effects of the methanolic extracts of Citrullus colocynthis , Ruta graveolens , and Peganum…”
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Intelligent judgements over health risks in a spatial agent-based model
Published in International journal of health geographics (20-03-2018)“…Millions of people worldwide are exposed to deadly infectious diseases on a regular basis. Breaking news of the Zika outbreak for instance, made it to the main…”
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A Comparison of Finite Difference and Finite Volume Methods with Numerical Simulations: Burgers Equation Model
Published in Complexity (New York, N.Y.) (2022)“…In this paper, we present an intensive investigation of the finite volume method (FVM) compared to the finite difference methods (FDMs). In order to show the…”
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Digital mapping of soil-texture classes in Batifa, Kurdistan Region of Iraq, using machine-learning models
Published in Earth science informatics (01-06-2023)“…Soil texture is a key physical property that has a large effect on several other soil properties that are important for managing and planning agriculture. In…”
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Effects of the main extraction parameters on chemical and microbial characteristics of compost tea
Published in Waste management (Elmsford) (01-06-2016)“…•Compost tea can feed and protect the crops.•Short extraction time maximizes the quality of the compost tea.•The compost tea should be applied fresh to…”
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Efficacy of methanolic extracts of some medicinal plants on wound healing in diabetic rats
Published in Heliyon (01-08-2022)“…One of the primary health concerns for diabetes individuals is wounds. The used drugs have several side effects, urging the need for new natural sources for…”
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Improvement of Spatio-temporal Growth Estimates in Heterogeneous Forests Using Gaussian Bayesian Networks
Published in IEEE transactions on geoscience and remote sensing (01-08-2014)“…Canopy leaf area index (LAI) is a quantitative measure of canopy foliar area. LAI values can be derived from Moderate Resolution Imaging Spectroradiometer…”
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