VisioDECT: a novel approach to drone detection using CBAM-integrated YOLO and GELAN-E models by Md. Sakib Bin Islam (22828181)

“…This improvement in spatial and channel attention significantly boosts detection performance, particularly for small and occluded drones. …”

Impacts of twenty years of experimental warming on soil carbon, nitrogen, moisture and soil mites across alpine/subarctic tundra communities by Juha M. Alatalo (2931234)

“…A significant plot-scale impact on mites suggests that small-scale heterogeneity may be important for buffering mites from global warming. …”

Evaluating the impact of the Minimization of Aggression and Violence (MoAV) intervention on mechanical restraint use in Qatar's acute mental health setting by Ananth Nazarene (21239912)

“…The percentage of restrained patients decreased from 25 % to 4 %, p = (<0.001). The mean duration of restraint incidents slightly increased from 59.1 min in 2016 to 61.3 min in 2021, though this change was not statistically significant. …”

Exploring the Role of Perceived Organizational Injustice and Organizational Identification in the Impact of Discretionary HR Practices on Counterproductive Behaviors: Evidence from... by El Dimassi, Yasmeen

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A Survey of Deep Learning Approaches for the Monitoring and Classification of Seagrass by Uzma Nawaz (21980708)

“…Deep learning approaches have made significant progress in digital image processing, particularly in object recognition and classification, and are among the most popular computer vision tools. …”

3D Concrete Printing Sustainability: A Comparative Life Cycle Assessment of Four Construction Method Scenarios by Malek Mohammad (17150977)

“…Moreover, the use of an alternative concrete mixture in 3DCP showed a further decrease in the GWP, AP, EP, and FFD impact. Ultimately, the findings in this paper support the advantages of 3DCP technology and recommend the investigation of the development of (i) sustainable printable concrete materials and (ii) novel reinforcement techniques that are suitable for 3DCP rather than adopting conventional reinforcement techniques.…”

Assessment of High-resolution Local Emissions and Land-use in Air Quality Forecasting at an Urban, Coastal, Desert Environment by Christos Fountoukis (4722963)

“…The overall forecast error decreased from –51% to 8% for PM2.5 and from –88% to 20% for NOx while a significant improvement was observed in the diurnal profile of predicted ozone. …”

Characterizing the dynamics of climate and native desert plants in Qatar by Meshal Abdullah (17746950)

“…These findings suggest a continued decrease in vegetation coverage, leading to more drought seasons and impacting water and food security. …”

Assessing the Built Environment’s Reflectivity, Flexibility, Resourcefulness, and Rapidity Resilience Qualities against Climate Change Impacts from the Perspective of Different Sta... by Mohammed M. Al-Humaiqani (18325554)

Human Action Recognition: A Taxonomy-Based Survey, Updates, and Opportunities by Md Golam Morshed (19420537)

“…A significant increase in feature learning-based representations for action recognition has emerged in recent years, due to the widespread use of deep learning-based features. …”

A Multi-Channel Convolutional Neural Network approach to automate the citation screening process by Raymon van Dinter (10521952)

“…<p dir="ltr">The systematic literature review (SLR) process is separated into several steps to increase rigor and reproducibility. The selection of primary studies (i.e., citation screening) is an important step in the SLR process. …”

Characteristics of aerosols and planetary boundary layer dynamics during biomass burning season by Muhammad Zeeshaan Shahid (18131689)

“…These haze episodes also impacts the atmospheric visibility that dropped below 2 km in November. …”

Impact of staying at home measures during COVID-19 pandemic on the lifestyle of Qatar’s population: Perceived changes in diet, physical activity, and body weight by Muna Abed Alah (14779534)

“…In this study we aimed to assess the impact of staying at home measures imposed during COVID-19 pandemic on dietary behaviors, physical activity, and body weight in Qatar’s population. …”

Image-Based Air Quality Estimation Using Convolutional Neural Network Optimized by Genetic Algorithms: A Multi-Dataset Approach by Arshad Ali Khan (23152516)

“…<p dir="ltr">Air pollution poses significant threats to human health and the environment, making effective monitoring increasingly essential. …”

Deep learning-based modeling of land use/land cover changes impact on land surface temperature in Greater Amman Municipality, Jordan (1980–2030) by Khaled F. Alkaraki (22051967)

“…However, agricultural areas decreased from 152.13 km² (18.5%) in 1980 to 140.38 km² (17%) in 2023, while barren lands decreased from 54.44 km² (6.6%) in 1980 to 34.71 km² (4.22%) in 2023. …”

Reinforced steering Evolutionary Markov Chain for high-dimensional feature selection by Atiq ur Rehman (3044409)

“…<p>The increasing accessibility of extensive datasets has amplified the importance of extracting insights from high-dimensional data. …”

The impact of metformin therapy for gestational diabetes on fetal growth in women with risk factors for fetal growth restriction- a registry-based study from Qatar by Komal Rafique (17075074)

Multi-Cluster Jumping Particle Swarm Optimization for Fast Convergence by Atiq Ur Rehman (8843024)

“…<p dir="ltr">Particle Swarm Optimization (PSO) is a metaheuristic evolutionary computation technique inspired by the social behavior of birds and fish flock. …”

An investigation into links between UAE STI Policy and the Federal Universities STEM Majors’ Enrolments, Graduates and Research Development: an evidence-based exploration of the im... by Khreibi, Rima Abou

“…HCT STEM majors’ graduates showed no significant differences from AY 2010 to the AY 2017; the latter shows that although STEM enrolments have increased in HCT, graduates of STEM are consistent and unchanged, meaning that somewhere during their tertiary education, students are not continuing their studies in STEM majors. …”
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Modeling the influence of daily temperature and precipitation extreme indices on vegetation dynamics in Katsina State using statistical downscaling model (SDM) by Mohammad Hadi Ahmad (17632248)

“…<p>Climate change significantly impacts local, regional, and global vegetation changes. …”