FUSING MULTISPECTRAL AND LIDAR DATA FOR CNN-BASED SEMANTIC SEGMENTATION IN SEMI-ARID MEDITERRANEAN ENVIRONMENTS: LAND COVER CLASSIFICATION AND ANALYSIS

Fusing Multispectral and LiDAR Data for CNN-Based Semantic Segmentation in Semi-Arid Mediterranean Environments: Land Cover Classification and Analysis

Spectral confusion among land cover classes is quite common, let alone in a complex and heterogenous system like the semi-arid Mediterranean environment; thus, employing new developments in remote sensing, such as multispectral imagery (MSI) captured by unmanned aerial vehicles (UAVs) and Spoons airborne light detection and ranging (LiDAR) techniqu

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Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directions

Autonomous driving has achieved significant milestones in research and development over the last two decades.There is increasing interest in the field as the deployment Heart Health of autonomous vehicles (AVs) promises safer and more ecologically friendly transportation systems.With the rapid progress in computationally powerful artificial intelli

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Sexual and Reproductive Health Needs of HIV-Positive People in Tehran, Iran: A Mixed-Method Descriptive Study

Background People Living with HIV (PLHIV) are highly stigmatized and consequently hard-to-access by researchers and importantly, public health outreach in Iran, possibly due Signs to the existing socio-cultural situation in this country.The present study aimed to evaluate the sexual and reproductive health needs of PLHIV in Tehran, the capital of I

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