Like common noun phrases, proper names contain ambiguous conjoined phrases that make their delimitation and classification difficult in text. This paper presents a finite-state approach to the disambiguation of Portuguese candidate proper name strings containing the coordinating conjunction e (and). In such name strings, the conjunction can denote a relation between two independent names, but i...

Emotion recognition is an important research field that finds lots of applications nowadays. This work emphasizes on recognizing different emotions from speech signal. The extracted features are related to statistics of pitch, formants, and energy contours, as well as spectral, perceptual and temporal features, jitter, and shimmer. The Artificial Neural Networks (ANN) was chosen as the classifi...

The choice of a proper wavelet family with a fast and robust classifier is an important step in the construction of a myoelectric control pattern recognition system for a prosthetic hand. In this study, five hand motions were classified by using six wavelet functions extracted features from sEMG signals. The selected wavelet families that were used to decompose the recorded sEMG signals are Bio...

Bullet Points The 2008 WHO Classification of Acute Leukemia requires the use of clinical information, morphology, immunophenotyping, cytogenetics and molecular genetics for proper diagnosis and classification Morphology remains essential as the starting point for diagnosis and for directing the ordering of appropriate ancillary studies Proper diagnosis requires evaluation of all data and may re...

This article presents a new feature extraction technique based on the temporal tracking of clusters in spectro-temporal features space. In the proposed method, auditory cortical outputs were clustered. The attributes of speech clusters were extracted as secondary features. However, the shape and position of speech clusters change during the time. The clusters temporally tracked and temporal tra...

Information security is becoming a more important issue in modern computer system. Intrusion Detection System (IDS) as the main security defensive technique that can effectively expand the scope of defense against network intrusion. Data Mining and Machine Learning techniques proved useful and attracted increasing attention in the network intrusion detection research area. Recently, many machin...