In this paper, an intrusion detection system is introduced that uses data mining and machine learning concepts to detect network intrusion patterns.In the proposed method, an artificial neural network (ANN) is used as a learning technique in intrusion detection.The metaheuristic algorithm with the swarm-based approach is Raglan Shirt used to reduce
Ability to form biofilms is a potential resistance strategy, although it has not been much explored so far for the spoilage yeast Brettanomyces GIFTWARE bruxellensis.The capacity of two strains to adhere and form biofilms on stainless steel chips in wine was studied.Using electron microscopy, some particular structures, such as 8 Piece Sectional wi
The double-layer charge can effectively improve the axial driving ability of explosives, which shows a considerable engineering application prospect in highly efficient damage warheads.Due to the complex wave structure produced by the overpressure detonation of a double-layer charge, a series of dynamic behaviors inside the shaped charge liner will
During the past decades, convolutional neural network (CNN)-based models have achieved notable success in remote sensing image classification due to their powerful feature representation ability.However, the lack of explainability during the decision-making process is a common criticism of these high-capacity networks.Local explanation methods that