Chest radiographs (X-rays) combined with Deep Convolutional Neural Network (CNN) methods have been demonstrated to detect and diagnose the onset of COVID-19, disease caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). However, questions remain regarding accuracy those as they are often challenged limited datasets, performance legitimacy on imbalanced data, their results typically reported without proper confidence intervals. Considering opportunity address these issues,...

Data-driven flow forecasting models, such as Artificial Neural Networks (ANNs), are increasingly used for operational flood warning systems. In this research, we systematically evaluate different machine learning techniques (random forest and decision tree) compare them with classical methods of the NAM rainfall run-off model Vésubie River, Nice, France. The modeled network is trained tested using discharge, precipitation, temperature, evapotranspiration data about four years (2011–2014). A...

River flow prediction is a pivotal task in the field of water resource management during era rapid climate change. The highly dynamic and evolving nature climatic variables, e.g., precipitation, has significant impact on temporal distribution river discharge recent days, making forecasting even more complicated for diversified water-related issues, flood irrigation planning. In order to predict discharge, various physics-based numerical models are used using numerous hydrologic parameters....

This paper scrutinized hydraulic fracturing applications mainly in the United States with regard to both groundwater and surface water contamination purpose of bringing forth objective analysis research findings. Results from previous studies are often unconvincing due incomplete database chemical additives; after before well-founded samples define change parameters; specific sources pollution a particular region. Nonetheless, there is superior chance induced by improper less monitored...

Distribution of the water flow path and residence time (HRT) in hyporheic zone is a pivotal aspect anatomizing transport environmental contaminants metabolic rates at groundwater surface interface fluvial habitats. Due to high variability material distribution composition streambed subsurface media, pragmatic model setup laboratory strenuous. Moreover, investigation an individual streamline cannot be efficiently executed experiments. However, automated generation paths, i.e., streamlines...

The environmental issues we are currently facing require long-term prospective efforts for sustainable growth. Renewable energy sources seem to be one of the most practical and efficient alternatives in this regard. Understanding a nation's pattern use renewable production is crucial developing strategic plans. No previous study has been performed explore dynamics power consumption with change on country-wide scale. In contrast, number deep learning algorithms demonstrated acceptable...

Residence time of water flow is an important factor in subsurface media to determine the fate environmental toxins and metabolic rates ecotone between surface stream groundwater. Both numerical lab-based experimentation can be used estimate residence time. However, due high variability material composition media, a pragmatic model set up laboratory trace particles strenuous. Nevertheless, selection inclusion input parameters, execution simulation, generation results as well post-processing...

River flow prediction is a pivotal task in the field of water resource management during era rapid climate change. The highly dynamic and evolving nature climatic variables e.g., precipitation has significant impact on temporal distribution river discharge recent days making forecasting even more complicated for diversified water-related issues flood irrigation planning. To predict discharge, various physics-based numerical models are used using numerous hydrologic parameters. Extensive...

Implementing multivariate predictive analysis to ascertain stream-water (SW) parameters including dissolved oxygen, specific conductance, discharge, water level, temperature, pH, and turbidity is crucial in the field of resource management. This especially important during a time rapid climate change, where weather patterns are constantly changing, making it difficult forecast these SW variables accurately for different water-related problems. Various numerical models based on physics...

Numerous micropollutants, especially endocrine-disrupting compounds (EDCs), can pollute natural aquatic environments causing great concern for human and ecosystem health. While most of the conversation revolves around estrogen androgen, glucocorticoids (GCs) are also prevalent in waters. Despite fact that GCs play a crucial role both inflammatory immunologic development activities, they detected waters considered as one EDCs. Although many researchers have mentioned adverse effect on...

Face recognition (FR) in an unconstrained environment, such as low light, illumination variations, and bad weather is very challenging still needs intensive further study. Previously, numerous experiments on FR environment have been assessed using Eigenface, Fisherface, Local binary pattern histogram (LBPH) algorithms. The result indicates that LBPH the optimal one compared to others due its robustness various lighting conditions. However, no specific experiment has conducted identify best...

River renaturation can be an effective management method for restoring a floodplain’s natural capacity and minimizing the effects during high flow periods. A 1D-2D Hydrologic Engineering Center–River Analysis System (HEC-RAS) model, in which flood plain was considered as 2D main channel 1D, used to simulate flooding restored reach of Spree River, Germany. When computing this finite volume difference approximations using Preissmann approach are 1D models, respectively. To comprehend...

Groundwater (GW) flooding mechanisms differ from river both spatially and temporally, preventative methods against groundwater must take this into account. Although caused by water rise occurs seldom, it can occasionally become severe last for a long time if the is significantly flooded. In southwest portion of research domain, Friedrichshafen with few urban communities, level table was discovered to be roughly 1 m below surface. It that settlement area only has one-story buildings. study...

Groundwater (GW) flooding mechanisms differ from river flooding, both spatially and temporally, preventative methods against groundwater must take this into account. Although caused by a rise of water seldom occurs, it can occasionally become severe last for long time if the is significantly flooded. In southwest portion research domain, Friedrichshafen, Germany, with few urban communities, level table was discovered to be roughly 1 m below surface. study region, typical bottom foundation...

Multivariate predictive analysis of the Stream-Water (SW) parameters (discharge, water level, temperature, dissolved oxygen, pH, turbidity, and specific conductance) is a pivotal task in field resource management during era rapid climate change. The highly dynamic evolving nature meteorological climatic features have significant impact on temporal distribution SW variables recent days making forecasting even more complicated for diversified water-related issues. To predict variables, various...

River renaturation can be an effective management method for restoring the floodplain's natural capacity and minimizing effects during high flow periods. A 1D-2D HEC-RAS model, in which flood plain was considered as 2D main channel 1D, used to simulate flooding restored reach of Spree River. When computing this finite volume difference approximations using Preissmann approach are 1D models, respectively. To comprehend sensitivity parameters several scenarios were simulated different time...

The environmental issues we are currently facing require long-term prospective efforts for sustainable growth. Renewable energy sources seem to be one of the most practical and efficient alternatives in this regard. Understanding a nation’s pattern use renewable production is crucial developing strategic plans. No previous study has been performed explore dynamics power consumption with change on country-wide scale. In contrast, number deep learning algorithms have demonstrated acceptable...

Strong convective storms can be a serious threat to modern society, influencing both the economy and human life. Thunderstorms bring much-needed rain after dry spell, but nature of thunderstorm mostly causes damage due high wind associated with it heavy intensity that quick overlandflow flashfloods. The paper focused on 2011 Pukkelpop event in Belgium where lot financial occurred, five casualties. In this we look into basic elements enforces creation like CAPE windshear. A representative...

Speech perception in an adverse background/noisy environment is a complex and challenging human process, which made even more complicated foreign-accented language for bilingual monolingual individuals. Listeners who have difficulties hearing are affected most by such situation. Despite considerable efforts, the increase speech intelligibility noise remains elusive. Considering this opportunity, study investigates Bengali–English bilinguals native American English monolinguals’ behavioral...