A5012329027- Hydrology and Drought Analysis
- Land Use and Ecosystem Services
- Liver Disease Diagnosis and Treatment
- Phytochemistry and Biological Activities
- Climate variability and models
- Remote Sensing in Agriculture
- Natural product bioactivities and synthesis
- COVID-19 epidemiological studies
- Remote Sensing and Land Use
- Air Quality Monitoring and Forecasting
- Climate change impacts on agriculture
- Phytochemical Studies and Bioactivities
- Data-Driven Disease Surveillance
- Regional Economic and Spatial Analysis
- Urban Agriculture and Sustainability
- Climate Change and Health Impacts
- Smart Agriculture and AI
- Zoonotic diseases and public health
- Hydrological Forecasting Using AI
- Global Trade and Competitiveness
- Mosquito-borne diseases and control
- Soil Geostatistics and Mapping
- Urban Heat Island Mitigation
- Malaria Research and Control
- Hepatitis C virus research
Bahauddin Zakariya University
2025
Armed Forces Institute of Pathology
2023-2025
University of Veterinary and Animal Sciences
2025
Combined Military Hospital
2025
Islamia University of Bahawalpur
2013-2024
University of Karachi
2005-2023
Indus Hospital
2023
Recep Tayyip Erdoğan University
2023
Ayub Medical College
2023
University of Faisalabad
2023
Water availability for agricultural practices is dynamically influenced by climatic variables, particularly droughts. Consequently, the assessment of drought events directly related to strategic water management in sector. The application machine learning (ML) algorithms different scenarios variables a new approach that needs be evaluated. In this context, current research aims forecast short-term i.e., SPI-3 from predictors under historical (1901–2020) and future (2021–2100) employing...
Dry land ecosystems extend over 40 % of the Earth, supporting an estimated 3 billion human population. Thus, quantifying LCLU changes in such is essential for achieving sustainable development goals. In this context, research aimed to examine past three decades (1990 – 2020) arid ecosystem Pakistan, i.e., Cholisatn desert. Three remote sensing indices, normalized difference vegetation index (NDVI), barren (NDBaI), and top grain soil (TGSI) are taken as representatives their temporal...
Sodium hazard poses a critical threat to agricultural production globally and regionally which has been previously predicted from ground or surface water. Monitoring rainwater quality in this context is ignored but essential for water management central Europe. Our study focused predict sodium adsorption ratio (SAR) 1985 2021 ten ionic species of (pH, EC, Cl-, SO4−2, NO3-, NH4+, Na+, K+, Mg2+, Ca2+) employing four machine learning (random forest (RF), gaussian process regression (GU), random...
Abstract Prediction of carbon dioxide (CO 2 ) emissions from agricultural soil is vital for efficient and strategic mitigating practices achieving climate smart agriculture. This study aimed to evaluate the ability two machine learning algorithms [gradient boosting regression (GBR), support vector (SVR)], deep [feedforward neural network (FNN) convolutional (CNN)] in predicting CO Maize fields agroclimatic regions i.e., continental (Debrecen-Hungary), semi-arid (Karaj-Iran). research...
Precision agricultural (PrA) technology relies on the utilization of special equipment to access real time observations plant health status, chlorophyll, nitrogen content, and soil moisture content. In this research new PrA (i.e., SPAD (Soil Plant Analysis Development), UAV-based NDVI (Unmanned Aerial Vehicle-based Normalized Difference Vegetation Index) were used monitor maize yield based different filed trials in eastern part Hungary. Our study aimed examine specifically measurements for...
Artificial intelligence, specifically machine learning (ML), serves as a valuable tool for decision support in crop management under ongoing climate change. However, ML implementation to predict maize yield is still limited Central Europe, especially Hungary. In this context, we assessed the performance of four algorithms (Bagging (BG), Decision Table (DT), Random Forest (RF) and Neural Network-Multi Layer Perceptron (ANN-MLP)) predicting based on different input scenarios. The collected...
Land cover analysis and land use transformations, which are mainly associated with population growth, considered as essential elements for studying the relationship between conversions environmental consequences.Most cities of world becoming urbanized every passing day human induced changes modifying pattern in urban areas.Currently, Pakistan is standing at an influential place regard to size its population, occupying sixth position among countries.Almost all administrative entities have...
This study examines the combined effects of social media (SM), electronic word mouth (e-WOM), and total consumer experience (TCE) on brand engagement. Considering S-O-R model as framework study, data was collected from 350 participants South Punjab using a mix physical online surveys. With use SPSS PLS-SEM, positive impact SM eWOM BE is exhibited role TCE mediator. The vital customer in manifesting digital intercommunications into extensive connections highlighted result. results this...
This cross-sectional study aimed to describe electrodiagnostic (Edx) findings of neuromuscular disorders (NMD) associated with COVID-19 infection. Patients history infection and symptoms were included. After documenting the demographics, detailed examination nerve conduction studies / electromyography (NCS EMG) performed. Descriptive statistics determined. Polyneuropathy was most common electrophysiological diagnosis (n = 22, 40%) amongst these, Guillian Barre Syndrome (GBS) 13, 23.6%)....
Background: Musculoskeletal disorders (MSKDs) are a leading cause of disability worldwide, impairing mobility and quality life due to dysfunctions involving muscles, joints, connective tissues. Among various rehabilitation interventions, manual therapy techniques such as Muscle Energy Techniques (METs) capsular stretching have gained prominence for their non-invasive approach in managing pain restricted range motion (ROM), particularly conditions like adhesive capsulitis osteoarthritis....
Abstract This study focuses on the spatiotemporal analysis of early summer heatwaves, droughts, and their relationship with vegetation soil moisture from 2013 to 2022 in South Punjab, Pakistan. The uses a unique approach utilizing combination meteorological-based maximum air temperature Tmax derived Modern-Era Retrospective for Research Applications V.2 (MERRA-2) remotely sensed land surface (LST) calculate heatwave metrics. Station-based precipitation (P) remote sensing-based condition...
Drought is one of the natural hazards that have negatively affected agricultural sector worldwide. The aims this study were to track drought characteristics (duration (DD), severity (DS), and frequency (DF)) in South Africa between 2002 2021 evaluate its impact on wheat production. Climate data collected from African Weather Service (SAWS) along with yield Department Agriculture, Forestry Fisheries (2002–2021). standard precipitation index (SPI) was calculated 3-, 6-, 9-, 12-month time...
The study aimed to characterize the antioxidant properties regarding Sida cordifolia with special reference its detailed biochemical analysis. revealed that chlorophyll A (0.9 ± 0.3 mg/g), total content (3.0 0.7 carotenoid (0.3 0.1 soluble proteins (7.5 and phenolic contents (5.6 1.3 mg/g) were found highest in flower tissue of S. cordifolia. However, peroxidase (POD) (118 31 units/g), superoxide dismutase (SOD) activity (64 1.5 units/g) maximum leaf tissues, while catalase (CAT) (133 25...