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All Outputs (12797)

IMPACT OF JOULE HEATING AND HYDRO-MAGNETIC EFFECTS ON MIXED CONVECTION IN POROUS CAVITY USING LATTICE BOLTZMANN METHOD (2025)
Journal Article

In the current paper, a comprehensive examination is carried out to investigate heat transmission under the influence of several factors that include magnetic field, moving lid, porous medium, and joule heating within a lid-driven cavity (LDC). The c... Read More about IMPACT OF JOULE HEATING AND HYDRO-MAGNETIC EFFECTS ON MIXED CONVECTION IN POROUS CAVITY USING LATTICE BOLTZMANN METHOD.

Computation of unsteady reactive magnetized bioconvective micropolar nanofluid squeezing flow with Stefan blowing and heat source effects (2025)
Journal Article

Motivated by emerging applications in smart bio-nano-tribology, a mathematical model for the unsteady, magnetohydrodynamic chemically reacting bioconvective micropolar Buongiorno nanofluid squeezing flow between two parallel plates subject to Stefan... Read More about Computation of unsteady reactive magnetized bioconvective micropolar nanofluid squeezing flow with Stefan blowing and heat source effects.

Optimizing the Temperature Sensitivity of the Isoprene Emission Model MEGAN in Different Ecosystems Using a Metropolis-Hastings Markov Chain Monte Carlo Method (2025)
Journal Article

Isoprene is a reactive hydrocarbon emitted to the atmosphere in large quantities by terrestrial vegetation. Annual total isoprene emissions exceed 300 Tg a−1, but emission rates vary widely among plant species and are sensitive to meteorological and... Read More about Optimizing the Temperature Sensitivity of the Isoprene Emission Model MEGAN in Different Ecosystems Using a Metropolis-Hastings Markov Chain Monte Carlo Method.

An approach based on multiquadric radial basis functions for smooth trajectory planning of robotic manipulators with kinematic constraints (2025)
Journal Article

This paper introduces a novel approach for planning smooth trajectories of robotic manipulators byleveraging multiquadric radial basis functions (MQRBFs). The proposed approach aims to achieve optimal trajectories by minimizing a multi-objective func... Read More about An approach based on multiquadric radial basis functions for smooth trajectory planning of robotic manipulators with kinematic constraints.

Simulation of Partial Magnetic Field effects on Cu-TiO2-water Hybrid Nanofluid Natural Convection Flow in a Darcy-Brinkman-Forchheimer Porous Media Enclosure with a MAC-FVM combined scheme (2025)
Journal Article

This study introduces an innovative numerical analysis of natural convection heat transfer within a differentially heated square enclosure containing a porous medium, permeated by an electrically conductive hybrid nanofluid (Cu+TiO₂/water), under the... Read More about Simulation of Partial Magnetic Field effects on Cu-TiO2-water Hybrid Nanofluid Natural Convection Flow in a Darcy-Brinkman-Forchheimer Porous Media Enclosure with a MAC-FVM combined scheme.

Qualitative Meta-analysis of Economic Models of Climate Change: Informing Policy Development Strategies (2025)
Journal Article

Purpose:
The livelihoods of agricultural communities are significantly impacted by the socioeconomic effects of climate change. Although numerous socioeconomic effects have been identified through the economic models of climate change (EMCC), it ha... Read More about Qualitative Meta-analysis of Economic Models of Climate Change: Informing Policy Development Strategies.

Digital educational escape rooms to enhance knowledge acquisition and student experience: An interdisciplinary series of case studies (2025)
Presentation / Conference Contribution

Digital educational escape rooms have gained significant traction as pedagogical tools in recent years, especially during the rapid digital transition resulting from the recent COVID-19 pandemic where physical educational escape rooms were unable to... Read More about Digital educational escape rooms to enhance knowledge acquisition and student experience: An interdisciplinary series of case studies.

Approaches to Automatic Classification, Detection and Segmentation of Breast Arterial Calcification Using Deep Learning (2025)
Journal Article

Objective: Cardiovascular disease (CVD) is the leading cause of premature death in the United Kingdom with one type, coronary artery disease, killing more than two times as many women as breast cancer. Recently, researchers have noted that breast art... Read More about Approaches to Automatic Classification, Detection and Segmentation of Breast Arterial Calcification Using Deep Learning.

Hybrid Deep Transfer Learning for Enhanced Brain Tumor Detection through the Integration of MobileNetV2 and InceptionV3 (2025)
Journal Article

Brain Tumors (BT) are one of the most hazardous diseases in the world, primarily because of the speed at which they spread and high mortality rates. Hence, diagnosing BT at an early stage with higher accuracy is necessary. Recent breakthroughs in dee... Read More about Hybrid Deep Transfer Learning for Enhanced Brain Tumor Detection through the Integration of MobileNetV2 and InceptionV3.

An Enhanced Convolutional Neural Network with Principal Component Analysis for Pneumonia Diagnosis Classification from Medical Images (2025)
Journal Article

Pneumonia is a lung infection that causes inflammation in the air sacs and is one of the leading causes of death worldwide for children under the age of five. The increasing prevalence of pneumonia, coupled with the critical need for accurate diagnos... Read More about An Enhanced Convolutional Neural Network with Principal Component Analysis for Pneumonia Diagnosis Classification from Medical Images.

A Comparative Analysis of the Performance of Parallel Ensemble and Sequential Ensemble Machine Learning Methods in the Detection of Diabetes Miletus (2025)
Journal Article

Diabetes Mellitus still forms a major cause of death rates soaring around the globe, heightening scares regarding shooting up diabetic population in the world; and hence straining health attendants to seek for rapid diagnostic tools specific to an in... Read More about A Comparative Analysis of the Performance of Parallel Ensemble and Sequential Ensemble Machine Learning Methods in the Detection of Diabetes Miletus.

The Tree of Sex consortium: A global initiative for studying the evolution of reproduction in eukaryotes. (2025)
Journal Article

Reproduction is a fundamental aspect of life that affects all levels of biology, from genomes and development to population dynamics and diversification. The first Tree of Sex database synthesised the vast diversity of reproductive strategies and the... Read More about The Tree of Sex consortium: A global initiative for studying the evolution of reproduction in eukaryotes..

Superspreaders have lower gut microbial alpha-diversity and distinct gut microbial composition in a natural rodent population (2025)
Journal Article

The microbiome is well known to drive variation in host states (e.g. behaviour, immunity) that would be expected to modulate the spread of infectious disease—but the role of microbiotal interactions in promoting superspreading is poorly understood. S... Read More about Superspreaders have lower gut microbial alpha-diversity and distinct gut microbial composition in a natural rodent population.

Small sample pipeline DR defect detection based on smooth variational autoencoder and enhanced detection head faster RCNN (2025)
Journal Article

The safe operation of gas pipelines is crucial for the safety of residents’ lives and property. However, accurately detecting defects within these gas pipelines is a challenging task. To improve the accuracy of defect detection in pipeline DR images... Read More about Small sample pipeline DR defect detection based on smooth variational autoencoder and enhanced detection head faster RCNN.