Smart agriculture which integrates the with Internet of Things (IoT) has attracted attention since it contributes to increase productivity and quality crops, reduce energy consumption facilitate farmers. Wireless sensor networks (WSNs) unmanned aerial vehicles (UAVs) are two most commonly deployed devices that used for enabling smart agriculture. In this paper, we design a collaborative WSN-UAV...

Measuring speech quality by machines overcomes two major drawbacks of subjective listening tests, their low speed and high cost. Real-time, accurate, and economical objective measurement of speech quality opens up a wide range of applications that cannot be supported with subjective listening tests. In this paper, we propose a statistical data mining approach to design objective speech quality ...

Machine learning models are susceptible to adversarial perturbations: small changes to input that can cause large changes in output. It is also demonstrated that there exist input-agnostic perturbations, called universal adversarial perturbations, which can change the inference of target model on most of the data samples. However, existing methods to craft universal perturbations are (i) task s...

Cloud Computing has recently emerged as a highly successful alternative information technology paradigm through on-demand resource provisioning and almost perfect reliability. In order to meet the customer demands, Cloud providers are deploying large-scale virtualized data centers consisting of thousands of servers across the world. These data centers require huge amount of electrical energy th...

Lack of knowledge of the prior distribution in classification problems that operate on small data sets may make the application of Bayes’ rule questionable. Uniform or arbitrary priors may provide classification answers that, even in simple examples, may end up contradicting our common sense about the problem. Entropic priors (EPs), via application of the maximum entropy (ME) principle, seem to...

The daily electronic self-monitoring Smartphone software "MONARCA" was used by 17 patients with bipolar disorder for 3 consecutive months. Patients were rated fortnightly using Hamilton Depression rating Scale 17 items (HDRS-17) and Young Mania rating Scale (YMRS) (102 ratings) with blinding for Smartphone data. Objective Smartphone measures such as physical and social activity correlated with ...

The Cardiff Births Survey contains objective data that are easily collected and are reproducible between observers. We have compared survey records of 80 abused children with those of 80 control children. Of 44 factors that were examined 11 were appreciably more common in abused children. Such factors included the fact that the baby was preterm and had been admitted to a special care baby unit....