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In the present paper, a fuzzy rule-based system (FRBS) is designed to serve as a decision support system for Coronary heart disease (CHD) diagnosis that not only considers the decision accuracy of the rules but also their transparency at the same time. To achieve the two above mentioned objectives, we apply a multi-objective genetic algorithm to optimize(More)
This paper describes and proposes an efficient and effective framework for the design and development of a speaker-independent continuous automatic Arabic speech recognition system based on a phonetically rich and balanced speech corpus. The speech corpus contains a total of 415 sentences recorded by 40 (20 male and 20 female) Arabic native speakers from 11(More)
— In this paper, we present a neural network-based method to detect frontal faces in grayscale images under unconstrained scene conditions such as the presence of complex background and uncontrolled illumination. The system is composed of two stages: threshold-based segmentation and neural network-based classifier. Image segmentation using thresholding is(More)
The manipulation of prosody, including pitch, duration and intensity, is one of the leading approaches in synthesizing emotion. This paper reports work on the development of a Malay Emotional synthesizer capable of expressing four basic emotions, namely happiness, anger, sadness and fear for any form of text input with various intonation patterns using the(More)
Cross language information retrieval (CLIR) presents huge ambiguous results as polysemy problems. Therefore, the semantic approach comes to solve the polysemy problem which that the same word may have different meanings according to the context of sentences. This paper presents semantic technique on queries for retrieving more relevant results in CLIR) that(More)