HYBRID MALWARE CLASSIFICATION METHOD USING SEGMENTATION-BASED FRACTAL TEXTURE ANALYSIS AND DEEP CONVOLUTION NEURAL NETWORK FEATURES

Hybrid Malware Classification Method Using Segmentation-Based Fractal Texture Analysis and Deep Convolution Neural Network Features

As the number of internet users increases so does the number of malicious attacks using malware.The detection of malicious code is becoming critical, and the existing approaches need to be improved.Here, we propose a feature fusion method to combine the features extracted from pre-trained AlexNet and Pier Cabinet Inception-v3 deep neural networks w

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Navigating the drought: upstream migration of a small-sized Cypriniformes (Telestes muticellus) in response to drying in a partially intermittent mountain stream

River flow intermittence is a natural phenomenon intensified by human activities, such as water abstraction and the effects of climate change.A growing number of rivers are predicted to experience intermittent flows, which may impact the diversity and abundance of freshwater species.Dry riverbeds directly diminish the availability of habitats for f

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Biomarkers of Metabolism in Amyotrophic Lateral Sclerosis

Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disorder characterized by the deterioration of motor neurons.However, this complex disease extends beyond the boundaries of the central nervous system, with N-Acetyl Cysteine metabolic alterations being observed at the systemic and cellular level.While the number of studies that assess the

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Evidence of Instability in Previously-Mapped Landslides as Measured Using GPS, Optical, and SAR Data between 2007 and 2017: A Case Study in the Portuguese Bend Landslide Complex, California

Velocity dictates the destructive potential of a landslide.A combination of synthetic aperture radar (SAR), optical, and GPS data were used to maximize spatial and temporal coverage to monitor continuously-moving portions of the Portuguese Bend landslide complex on the Palos Verdes Peninsula in Southern California.Forty SAR images from the COSMO-Sk

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