ABSTRACT
Corn disease prediction is an essential part of agricultural productivity. This paper presents a novel 3D-dense convolutional neural network (3D-DCNN) optimized using the Ebola optimization search (EOS) algorithm to predict corn disease targeting the increased prediction accuracy than the conventional AI methods. Since the dataset samples are generally insufficient, the paper uses some preliminary pre-processing approaches to increase the sample set and improve the samples for corn disease. The Ebola optimization search (EOS) technique is used to reduce the classification errors of the 3D-CNN approach. As an outcome, the corn disease is predicted and classified accurately and more effectually. The accuracy of the proposed 3D-DCNN-EOS model is improved, and some necessary baseline tests are performed to project the efficacy of the anticipated model. The simulation is performed in the MATLAB 2020a environment, and the outcomes specify the significance of the proposed model over other approaches. The feature representation of the input data is learned effectually to trigger the model's performance. When the proposed method is compared to other existing techniques, it outperforms them in terms of precision, the area under receiver operating characteristics (AUC), f1 score, Kappa statistic error (KSE), accuracy, root mean square error value (RMSE), and recall.
ABSTRACT
INTRODUCTION: Modern immunosuppressive therapy may be responsible for toxic, immunologic and infectious pulmonary diseases. CASE REPORT: We report the case of a 58-year old woman treated for rheumatoid arthritis who received leflunomide, corticosteroids, methotrexate and adalimumab. She developed disseminated tuberculosis, which presented with neurological symptoms (brainstem) and also pneumocystis pneumonia. CONCLUSION: Modern immunosuppressive therapy used to treat inflammatory disorders in connective tissue diseases and in transplantation may induce new respiratory diseases, new patterns of known respiratory diseases or co-infections that are very seldom seen outside the context of HIV. Pulmonologists, rheumatologists, internists and intensivists should be aware of this new spectrum of diseases whose presentation may be atypical.