A5063378999- Innovative concrete reinforcement materials
- Concrete and Cement Materials Research
- Geotechnical Engineering and Soil Mechanics
- Geotechnical Engineering and Underground Structures
- Infrastructure Maintenance and Monitoring
- Geotechnical Engineering and Soil Stabilization
- Recycled Aggregate Concrete Performance
- Aluminum Alloys Composites Properties
- Voice and Speech Disorders
- Fire effects on concrete materials
- Respiratory viral infections research
- Flood Risk Assessment and Management
- Landslides and related hazards
- Smart Agriculture and AI
- Additive Manufacturing Materials and Processes
- Animal Virus Infections Studies
- Fire effects on ecosystems
- Virus-based gene therapy research
- Cancer therapeutics and mechanisms
- Structural Response to Dynamic Loads
- Mycobacterium research and diagnosis
- Additive Manufacturing and 3D Printing Technologies
- Tuberculosis Research and Epidemiology
Siddhartha Medical College
2024
University of Calgary
2024
Narayana Health
2023
University of Lahore
2021-2023
Asian Institute of Technology
2017-2021
The ceramic waste powder (CWP) is generated in the industry during cutting and polishing stages. It harmful to environment needs a massive area for disposal. Therefore, an alternative way required reduce environmental pollution landfill caused by CWP. aim of study establish Artificial Intelligence (AI) model CWP concrete from experimental results save time cost. Advancements AI have made estimation mechanical characteristics possible employing Machine Learning (ML) approaches. In current...
This work evaluates the performance of three machine learning (ML) techniques, namely logistic regression (LGR), linear (LR), and support vector machines (SVM), two multi-criteria decision-making (MCDM) analytical hierarchy process (AHP) technique for order preference by similarity to ideal solution (TOPSIS), mapping landslide susceptibility in Chitral district, northern Pakistan. Moreover, we create inventory maps from LANDSAT-8 satellite images through change analysis (CVA) detection...
Researchers and engineers are presently focusing on efficient waste material utilization in the construction sector to reduce waste. Waste marble dust has been added concrete minimize pollution landfills problems. Therefore, was utilized concrete, its prediction made via an artificial intelligence approach give easier way scholars for sustainable construction. Various blends of having 40 mixes were as partial substitutes dust. The ultrasonic pulse velocity (WMDC) compared a control mix...
Cracking is one of the main problems in concrete structures and affected by various parameters. The step-by-step laboratory method, which includes casting specimens, curing for a certain period, testing, remains source worry terms cost time. Novel machine learning methods anticipating behavior raw materials on ultimate output are being introduced to address difficulties outlined above such as excessive consumption time money. This work estimates splitting-tensile strength containing recycled...
High-strength concrete (HSC) is vulnerable to strength loss when exposed high temperatures or fire, risking the structural integrity of buildings and critical infrastructures. Predicting compressive HSC under high-temperature conditions crucial for safety. Machine learning (ML) techniques have emerged as a powerful tool predicting properties. Accurate prediction important can experience losses up 80% after exposure 800°C–1000°C. This study evaluates efficacy ML such Extreme Gradient...
ABSTRACT In this study, we investigated the localized pathogenesis of infectious bronchitis virus (IBV) in chicken tracheal organ cultures (TOCs), focusing on role inducible cyclooxygenase (COX-2). Two divergent IBV strains, respiratory Connecticut (Conn) A5968 and nephropathogenic Delmarva (DMV)/1639, were studied at 6, 12, 24, 48 hours post-infection (hpi). Various treatments including exogenous prostaglandin (PGE)2, a selective COX-2 antagonist (SC-236), inhibitors PGE2 receptors Janus...
Mycobacterium tuberculosis shows drug resistance patterns (drug-resistance DR-TB) for strains that are induced with high mortality rates. Because this acid-fast bacterium resists extensively against drugs and masks their effects to control the disease. However, these chromosomal mutations genetic factors lead towards recent anti-TB discoveries. Anti-TB regimens dearth pandemic problem due prevalence of These situations remarkably given new ray discover newer target such bacilli mutations....
One of the primary reasons for failure gather production and agriculture is distinct discovery confirmation plant contaminations.The examination any recognizable spots in part helps us distinguish between two plants, fact, or assortment disguises.This disease.One most important considerations cultivating development plant's acceptability.It's obvious that it's hard to get distinctive evidence diseases right.The identification condition necessitates a significant amount effort authority, as...
A significant problem in the modern day automotive and aerospace industries is to manufacture more fuel-efficient components reduce energy usage. A356 a material that could meet demand for an industry manufacturing of machine because their high strength-to-weight ratio, toughness good cast ability. However existing properties alloy can be improved by blending it with additive elements order requirements various industries. Chromium selected alloying process its increased resistance oxidation...