Deep neural network-based classifiers are prone to errors when processing adversarial examples (AEs).AEs are minimally perturbed input data undetectable to humans posing significant risks to security-dependent applications.Hence, extensive research has been undertaken to develop defense mechanisms that mitigate Pliers their threats.Most existing me
Abstract Background The advent of human-induced pluripotent stem cells holds great promise for producing ample individualized hepatocytes.Although previous efforts have succeeded in generating hepatocytes from human pluripotent stem cells in vitro by viral-based expression of transcription factors and/or addition of growth factors during the differ
We propose a novel approach for near-field tsunami detection, specifically for Bowl / Banger Stand the area near the city of Padang, Indonesia.Padang is located on the western shore of Sumatra, directly across from the Mentawai segment of the Sunda Trench, where accumulated strain has not been released since the great earthquake of 1797.Consequentl
Silica fume (SF) and palm oil empty fruit bunch (EFB) are the by-products of the ferroalloy smelting industry and oil palm plantation, which require proper disposal to minimize the environmental impacts.To consume the by-products, the feasibility of utilizing SF and EFB to fabricate bricks was studied.Limited studies were adopting EFB as the natura