Disease detection in medicinal plants is critical to ensuring the quality and efficacy of herbal drug treatments. Early and accurate diagnosis can prevent disease spread to other vegetation and keep species' genet...
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The android healthcare application is a creative and innovative application which is developed for android users. It provides smooth-running healthcare access for the users. Offering a thorough chain of features, it g...
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The wine industry has experienced exponential growth over the past few decades, with a corresponding surge in consumption. This growth has necessitated an increased emphasis on quality. To achieve this objective, data...
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Date In response to the imperative need for mitigating criminal activities and ensuring public safety, this research proposes a novel approach leveraging deep learning techniques for real-time weapon detection. In con...
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La Liga is the world’s most renowned football league. It attracts and motivates so many people to get involved with this wonderful sport and also creates a great amount of craziness among the people to support their ...
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Surveillance drones equipped with video transmission capabilities play a crucial role in modern security systems, with the integration of OpenCV for object detection marking a significant advancement. This study evalu...
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The number of children diagnosed with Autism Spectrum Disorder (ASD) is continually increasing. However, diagnosing autism is not straightforward;the process is lengthy and complex. Previous research has indicated tha...
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Due to the disparity in the levels of difficulty presented by the several tasks, doing domain adaptation in an adversarial way may result in an imbalanced learning process. In the MNIST dataset, this phenomenon also m...
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Parkinson's disease (PD) is a neurodegenerative disorder which impacts the central nervous system and characterized by neuronal loss, particularly in the substantia nigra area of the brain. PD rendered dopamine-pr...
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COVID-19 has become a pandemic,with cases all over the world,with widespread disruption in some countries,such as Italy,US,India,South Korea,and *** and reliable detection of COVID-19 is mandatory to control the sprea...
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COVID-19 has become a pandemic,with cases all over the world,with widespread disruption in some countries,such as Italy,US,India,South Korea,and *** and reliable detection of COVID-19 is mandatory to control the spread of ***,prediction of COVID-19 spread in near future is also crucial to better plan for the disease *** this purpose,we proposed a robust framework for the analysis,prediction,and detection of *** make reliable estimates on key pandemic parameters and make predictions on the point of inflection and possible washout time for various countries around the *** estimates,analysis and predictions are based on the data gathered fromJohns Hopkins Center during the time span of April 21 to June 27,*** use the normal distribution for simple and quick predictions of the coronavirus pandemic model and estimate the parameters of Gaussian curves using the least square parameter curve fitting for several countries in different *** predictions rely on the possible outcomes of Gaussian time evolution with the central limit theorem of statistics the predictions to be well *** parameters of Gaussian distribution,i.e.,maximumtime and width,are determined through a statisticalχ^(2)-fit for the purpose of doubling times after April 21,*** COVID-19 detection,we proposed a novel method based on the Histogram of Oriented Gradients(HOG)and CNN in multi-class classification scenario i.e.,Normal,COVID-19,viral pneumonia *** results show the effectiveness of our framework for reliable prediction and detection of COVID-19.
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