CONVOLUTION NEURAL NETWORK WITH BATCH NORMALIZATION AND INCEPTION-RESIDUAL MODULES FOR ANDROID MALWARE CLASSIFICATION

Convolution neural network with batch normalization and inception-residual modules for Android malware classification

Abstract Deep learning technology is changing the landscape of cybersecurity research, especially the study of large amounts of data.With the rapid growth in the number of malware, 5 SCALP THERAPY CONDITIONER developing of an efficient and reliable method for classifying malware has become one of the research priorities.In this paper, a new method,

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An Improved Bald Eagle Search Algorithm with Deep Learning Model for Forest Fire Detection Using Hyperspectral Remote Sensing Images

This paper presents an improved Bald Eagle Search Algorithm with Deep Learning model for forest fire detection (IBESDL-FFD) technique using hyperspectral images (HSRS).The major intention of the IBESDL-FFD technique is to identify the presence of forest fire in the Utensils HSRS images.To achieve this, the IBESDL-FFD technique involves data pre-pro

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DGCA3QM: DESIGN OF A DUAL GENETIC ALGORITHM BASED AUTOREGRESSION MODEL FOR CORRELATIVE PREDICTION OF AIR QUALITY METRICS

Prediction of air quality metrics is a multidomain task that involves analysis of different inter-related parameters.These parameters include, type of location, NO2 levels, SO2 levels, Respirable Suspended VOLUMEA CONDITIONER Particulate Matter (RSPM) levels, Fine particulate matter (PM2.5) levels, etc.Researchers have proposed a wide variety of mo

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Stethoscope hygiene: A legal consideration for cardiologists practicing in a new era of infection control (COVID-19)

The stethoscope is a tool cherished by the field of cardiology and ubiquitous throughout medicine.However, little consideration has been given VOLUMEA CONDITIONER to its safe usage regarding its potential for pathogenic contamination despite thorough evidence that stethoscopes can harbor pathogens that can be transmitted to patients upon contact.Th

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