Recently, there has been an increasing concern about the vulnerability of infrared object detectors to adversarial attacks, where the object detector can be easily spoofed by adversarial samples with aggressive patches.Existing attacks employ light bulbs, insulators, and both hot and cold blocks to construct adversarial patches.These patches are co
The Mediterranean region is a climate change hotspot.Increasing greenhouse gas emissions are projected to lead to a substantial warming of the Mediterranean Sea as well as major changes in its circulation, but the subsequent Signs effects of such changes on marine biogeochemistry are poorly understood.Here, our aim is to investigate how climate cha
Children with neuromuscular disorder (NMD) usually have pulmonary involvement characterized by weakened respiratory muscles, insufficient coughing, and inability to clear airway secretions.When suffering from community-acquired pneumonia, these patients are more likely to develop acute respiratory failure (ARF).Therefore, recurrent pneumonias leadi
This study investigated the potential of machine-learning-based stroke image reconstruction in capacitively coupled electrical impedance tomography.The quality of brain images reconstructed using the adversarial neural network (cGAN) was examined.The big data required for supervised network training were generated using a two-dimensional numerical
This study investigated the potential of machine-learning-based stroke image reconstruction in capacitively coupled electrical impedance tomography.The quality of brain images reconstructed using the adversarial neural network (cGAN) was examined.The big data required for supervised network training were generated using a two-dimensional numerical