A5007454456- Flood Risk Assessment and Management
- SARS-CoV-2 detection and testing
- Disaster Management and Resilience
- SARS-CoV-2 and COVID-19 Research
- Magnetic and Electromagnetic Effects
- Hydrological Forecasting Using AI
- Agriculture Sustainability and Environmental Impact
- Healthcare Systems and Challenges
- COVID-19 epidemiological studies
- Food Waste Reduction and Sustainability
- COVID-19 impact on air quality
- Water-Energy-Food Nexus Studies
- Tropical and Extratropical Cyclones Research
- Food Supply Chain Traceability
- Seismology and Earthquake Studies
- Meat and Animal Product Quality
- Hydrology and Watershed Management Studies
- Skin Protection and Aging
- melanin and skin pigmentation
- Biosensors and Analytical Detection
- Infection Control and Ventilation
- Metabolism and Genetic Disorders
- Anomaly Detection Techniques and Applications
- Child Nutrition and Water Access
- Olfactory and Sensory Function Studies
Kyungpook National University
2022-2024
University of Ilorin
2020-2021
The new scientific decade (2023-2032) of the International Association Hydrological Sciences (IAHS) aims at searching for sustainable solutions to undesired water conditions - may it be too little, much or polluted. Many current issues originate from global change, while problems must embrace local understanding and context. will explore crises by actionable knowledge within three themes: interactions, innovative cross-cutting methods. We capitalise on previous IAHS Scientific Decades...
Monitoring tidal dynamics is imperative to disaster management because it requires a high level of precision avert possible dangers. Good knowledge the physical drivers tides vital achieving such precision. The Taehwa River in Ulsan City, Korea experiences currents estuary that drains into East Sea. contribution wind tide prediction evaluated by comparing predictions using harmonic analysis and three deep learning models. Harmonic conducted on hourly water data from 2010–2021 commercial...
Mechanistic modeling aimed at predicting biogas yield is marred with complex interactions and hence, a very tedious endeavor. Consequently, an Artificial Neural Network (ANN) approach was used to model the relationship among six physico-chemical properties of mixture poultry droppings cattle dung predict volume produced i.e. pH, Total Dissolved Solids, temperature, mass slurry, Biochemical Oxygen Demand Oxygen. Three floating drum anaerobic digesters were loaded 27 varying ratios using batch...
Abstract. Availability of abundant water resources data is a great concern hindering adoption deep learning techniques (DL) for disaster mitigation in developing countries. However, over the last three decades, sizeable amount DL publication management emanated mostly from developed countries with efficient systems. To understand current state solving water-related problems countries, an extensive bibliometric review coupled theory-based analysis related research documents conducted...