ICIIT

CT-images have been used widely in hospitals around the world. The segmentation of liver from CT-images is important, because it can help medical doctors to have a clear view of the liver with rendering tools. The segmentation's result is also useful ...

To deeply understand the brain response under different emotional states can fundamentally advance the computational models for emotion recognition. Various psychophysiology studies have demonstrated the correlations between human emotions and EEG ...

Speech recognition is one of the next generation technologies for human-computer interaction. Automatic Speech Recognition (ASR) is a technology that allows a computer to recognize the words spoken by a person through telephone, microphone or other ...

Detection of a hemorrhage in CT scan slices is one of the crucial steps for a neurosurgeon to diagnose any abnormality and severity in the brain of a patient. It is usually time consuming as there are as many as 256 produced slices from a CT scan ...

Under uncontrolled image conditions, one of the greatest remaining research challenges in face recognition is to recognize faces across different poses. For multi-views face recognition problem either by means of difficult practical three-dimensional ...

Automatic Optic Disc (OD) localization is an important problem in ophthalmic image processing. Knowing its location helps doctors with the early detection of preventable eye diseases. Inspired by a fast and accurate OD localization algorithm utilizing ...

In this article, we illustrate some of the semantic web-related technologies and design a set of ontology knowledge structures based on biographical history, using the OWL markup language, which we call BKOnto. This is an official framework for ...

Wide application usage of Wireless Sensor Network (WSN) triggers many developments in this area. Properly selecting network simulator plays an important role for developing WSN routing protocol and MAC protocol since its different performance focuses. ...

In this paper, we propose a spoken term detection method for detection of terms in zero-resource languages. The proposed method uses the classifier (the speech comparator) trained by a machine learning method combined with the dynamic time warping ...

This work addresses the problem of monitoring stateful services on a dynamic service-oriented architecture (SOA), such as OSGi. Indeed, in such architecture, services may disappear and appear, and if a used service disappears, then the client doesn't ...

Non-volatile memory is emerged such as PCM and 3D XPoint. With the advent of Non-volatile memory, Software platforms have also been developed to manage Non-volatile memory areas. Recently those platforms support PTM system(Persistent transactional ...

The major premise of big data circulation is to identify the ownership of data resource. This paper summed some feasible techniques and methods for confirming big data property which are data citation technology, data provenance technology, data ...

The history of human industrial development has undergone three industrial revolutions. Based on the occurrence time sequences of the three industrial revolutions, the industrial revolution time prediction function based on quadratic function and the ...