A5081304622- Remote Sensing in Agriculture
- Remote Sensing and Land Use
- Remote-Sensing Image Classification
- Flood Risk Assessment and Management
- Land Use and Ecosystem Services
- Systemic Lupus Erythematosus Research
- IoT and Edge/Fog Computing
- Remote Sensing and LiDAR Applications
- Bullying, Victimization, and Aggression
- Smart Agriculture and AI
- Blockchain Technology Applications and Security
- Soil Moisture and Remote Sensing
- Rice Cultivation and Yield Improvement
- Inflammatory Bowel Disease
- Landslides and related hazards
- Vasculitis and related conditions
- Urban Heat Island Mitigation
- Tropical and Extratropical Cyclones Research
- Systemic Sclerosis and Related Diseases
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Soil and Land Suitability Analysis
- Hydrology and Drought Analysis
- Chronic Lymphocytic Leukemia Research
- Renal Diseases and Glomerulopathies
- Advanced Malware Detection Techniques
Integral University
2016-2024
University of Khartoum
2023
Franciscan Health
2022
Advocate Christ Medical Center
2022
Johnson University
2021
Rutgers, The State University of New Jersey
2021
Long Island University
2020
New York University
2020
University of Ghana
2020
Philadelphia College of Osteopathic Medicine
2020
The aim of today's healthcare services is to provide high quality and real-time facilities treatment options for their patients give a patient-centric experience with full support. IoT-Based Healthcare System have improved the by enhancing its diagnosis decision-making accuracy. On basis data collected from different medical Bio Sensors Machine Learning techniques, patient mortality can be help current condition historical Medical Health Records. In paper Decision Tree method has been...
In recent years, there is a strong need for large scale precision agriculture monitoring improved productivity to meet the demands of growing population. At scale, precisely challenging task. Therefore, in this paper, methodology has been proposed i.e., classify vegetation into sparse and dense classes by employing fusion freely available satellite data (Landsat 8) drone imagery. The able successfully two results are verified with help image both visually, quantitatively form area estimation.
Objective Two apolipoprotein L1 ( APOL1 ) risk variants (RV) are enriched in sub-Saharan African populations due to conferred resistance Trypanosoma brucei . These associate with adverse renal outcomes by multiple causes including SLE. Despite emerging reports that SLE is common Ghana, where variant allelic frequencies high, the regional contribution has not been described. Accordingly, this prospective longitudinal cohort study tested associations between high-risk genotypes and kidney...
Satellite images play a major role in the analysis of land cover, topographic analysis, geosciences etc. There has always existed tradeoff between image resolution and cost. In this paper, modified discrete wavelet transform interpolation based technique is proposed for enhancing satellite having low such way that highly resolved can be obtained without losing any information. The advent DWT given impetus to many techniques on achieving super starting with single image. method, employed...
Change detection (CD) is the process of detecting changes from multi-temporal satellite images that have undergone spatial due to natural phenomena and/or human-induced activities. Mango a major fruit crop in India, but mango crops remains challenging task because reason many perennial similar reflectance profiles. Therefore, potent change technique required for different applications such as rate deforestation, urban developments, damage evaluation, and resource monitoring. Compared annual...
Five patients with systemic lupus erythematosus are described who developed the disease in their second or third decade. The pattern of then changed markedly and they clinical features a vasculitis. possible explanations for this transition one connective tissue to another is discussed.
Mango is a very important fruit which liked by majority of the population due to its nutritional value and excellent taste. India largest producer mango in world. Accurate information required for policy decision making terms providing subsidy, area expansion, crop insurance planning. Hence, this type may be retrieve through satellite images using image classification techniques, are playing crucial role cover classification, yield prediction monitoring etc. Classification optical still...