The study investigates the effects of temperature and residence time on the energy density of kesambi leaves through experimental torrefaction, proximate analysis, and response surface methodology with a central composite design Bing Accessories (RSM-CCD).The torrefaction process enhances the energy density of kesambi leaves by increasing fixed car
Abstract The use of traditional finite element method (FEM) in occlusal stress analysis is limited due to the complexity of musculature simulation.The present purpose was to develop a displacement boundary condition (DBC)-FEM, which evaded the muscle factor, to predict the dynamic occlusal stress.The geometry of the DBC-FEM was developed based on t
Lightweight block ciphers are an important topic in the Internet of Things (IoT) since they provide moderate security while requiring fewer resources than the Advanced Encryption Standard (AES).Ongoing cryptographic contests and standardization efforts evaluate lightweight block ciphers on their resistance to power analysis side channel attack (SCA
Epilepsy is considered as a brain network disease.Epileptic computational models are developed to simulate the electrophysiological process of seizure.Some studies have shown that the epileptic network based on those models can be used to predict the surgical outcome of patients with drug-resistant epilepsy.Most studies focused on the causal relati
More convolutional neural network (CNN) methods are widely utilized for ship detection in synthetic aperture radar (SAR) images.Nevertheless, there are still some problems that need to be addressed.First, detection methods may misclassify islands and onshore objects as ships.Second, due to the large scale and low resolution, a majority of ships are