In recent years, researchers have relied heavily on labels provided by antivirus companies in establishing ground truth for applications and algorithms of malware detection, classification, and clustering. Furthermore, companies use those labels for guiding their mitigation and disinfection efforts. However, ironically, there is no prior systematic work that validates the performance of antivir...

We show that deep learning techniques can be applied successfully to fiber tractography. Specifically, we use feed-forward and recurrent neural networks to learn the generation process of streamlines directly from diffusion-weighted imaging (DWI) data. Furthermore, we empirically study the behavior of the proposed models on a realistic white matter phantom with known ground truth. We show that ...

Remote sensing is a powerful tool for the regional mapping of natural resources. Satellite imagery has been demonstrated to be a cost effective method for classifying land use and land cover types throughout the world. This paper evaluates the potential of satellite remote sensing technology by presenting a case study for mapping ground coverage of Seabuckthorn plant, which grows in high altitu...

Background: In developing countries various childhood diseases lead the morbidity, mortality and irreversible losses which can be prevented by proper vaccination. This study was conducted to analyse changing trends of vaccination in India its impact on mortality, coverage each vaccine along with identification geographical areas concern. Materials methods: NFHS data published Government analyze...

Sixth generation (6G) wireless communication networks are envisioned to be empowered with novel enabling technologies guarantee ubiquitous coverage requirements, heterogeneous scenarios, and improved network intelligence, spectral rates, security. The 6G vision is not only limited terrestrial networks, but also extends non-terrestrial encompassing satellites aerial thus exploring a full spectru...

In this paper, we present a fast approach to automated generation of textured 3D city models with both high details at ground level, and complete coverage for bird’s-eye view. A close-range facade model is acquired at the ground level by driving a vehicle equipped with laser scanners and a digital camera under normal traffic conditions on public roads; a far-range Digital Surface Map (DSM), con...

This paper describes two different solutions for the estimation of weed coverage. Both measuring systems discriminate the weed from the ground by means of the color difference between the weed and ground and can be used to on-line control tractor sprayers in order to reduce weedkiller use. The solutions differ with respect to the sensor type: one solution is based on a digital camera and a comp...

The Moderate Resolution Imaging Spectroradiometer (MODIS) provides daily global coverage, but the 10 km resolution of its aerosol optical depth (AOD) product is not adequate for studying spatial variability of aerosols in urban areas. Recently, a new Multi-Angle Implementation of Atmospheric Correction (MAIAC) algorithm was developed for MODIS which provides AOD at 1 km resolution. Using MAIAC ...

Future Low Earth Orbit (LEO) satellite networks are envisioned as distributed architectures of autonomous data processing nodes. Such ad hoc networks should deliver reliable communication channels for control commands and data among ground stations and satellites minimizing delay and power. The LEO satellite networks are different from the generic ad hoc scenario. In this paper, we first analyz...

We consider further the Differential Daisyworld model of Watson and Lovelock that we have analyzed in a previous paper (De Gregorio et al., 1992). In this work we introduce a delay in the birthrate of the species. We consider three different models: the constant time lag model and the strong and the weak delay models. In the weak delay case no value of the delay changes the asymptotic stability...