Deep Neural Networks (DNNs) are the preferred choice for image-based machine learning applications in several domains.However, DNNs are vulnerable to adversarial attacks, that are carefully-crafted perturbations introduced on input images to fool a DNN model.Adversarial attacks may prevent the application of Baking Tray Set DNNs in security-critica
Foreign aid, remittance, and foreign direct investment have a significant role in shaping and promoting globalization and these factors also play a vital role in determining health quality in developing countries.Developing countries, especially South Asian countries still need research and policies to efficiently utilize the contributions of these
Many adverse drug reactions (ADRs) are difficult to detect or predict, as they are rare or have a long latency period.They only become apparent after the medicine is released on the market.The primary goal of pharmacovigilance is the early recognition of unexpected ADRs after marketing authorization.Reporting suspected ADRs by patients has the pote
In this paper, the crack process of the A74 iceberg is carefully monitored in different aspects by using synthetic aperture radar (SAR) images.First, a offset tracking strategy is designed to retrieve the temporal evolution of the glacier velocity field.Secondly, a signal coherence factor (SCF) is proposed to Equipment Knobs analyze the interferome
Abstract Effective treatment of cancer requires understanding the nature of the disease and accurately addressing the main root causes.General risk factors for cancer include poor nutrition, an acidogenic diet, an unhealthy lifestyle, and exposure to carcinogens such as toxins, chemicals, and radiation.The risk of developing cancers may be reduced