Attitude determination using the smartphone’s inertial sensors poses a major challenge due to sensor low-performance grade and variate nature of walking pedestrian. In this paper, data-driven techniques are employed address that challenge. To end, hybrid deep learning model based solution for attitude estimation is proposed. Here, classical equations applied form an adaptive complementary filte...

This paper is the first part of a two-part investigation of a novel approach to optimally control commercial building passive and active thermal storage inventory. The proposed building control approach is based on simulated reinforcement learning, which is a hybrid control scheme that combines features of model-based optimal control and model-free learning control. An experimental study was ca...

Purpose Given how smart today’s malware authors have become through employing highly sophisticated techniques, it is only logical that methods be developed to combat the most potent threats, particularly where stealthy and makes indicators of compromise (IOC) difficult detect. After analysis completed, output can employed detect then counteract attack. The goal this work propose a machine learn...

In this paper, a novel hybrid method based on learning algorithmof fuzzy neural network and Newton-Cotesmethods with positive coefficient for the solution of linear Fredholm integro-differential equation of the second kindwith fuzzy initial value is presented. Here neural network isconsidered as a part of large field called neural computing orsoft computing. We propose alearning algorithm from ...

Thank you very much for reading hybrid random fields a scalable approach to structure and parameter learning in probabilistic graphi. As you may know, people have look hundreds times for their chosen novels like this hybrid random fields a scalable approach to structure and parameter learning in probabilistic graphi, but end up in malicious downloads. Rather than enjoying a good book with a cup...

As a decision support tool, a hybrid modelling can offer the ability to better understand the dynamics of a particular ecosystem, as well as to explore possible futures based on different online learning scenarios. From this perspective, the present paper proposes/discusses a hybrid approach that may serve as a means to synthesize/represent knowledge obtained from the data, in order to explore ...

Securing edge computing has drawn much attention due to the vital role of in Fifth Generation (5G) wireless networks. Artificial Intelligence (AI) been adopted protect networks against attackers targeting connected devices or channel. However, proposed detection mechanisms could generate a high false rate, especially unknown attacks defined as zero-day threats. Thereby, we propose and conceive ...