Browsing College of Engineering (CEN) by Author "efcd1972-b3ac-4aaf-b636-1a6ea12b2c10"
Now showing items 1-11 of 11
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Feature modeling using polynomial classifiers and stepwise regression
Shanableh, Tamer; Assaleh, Khaled (Elsevier, 2010)In polynomial networks, feature vectors are mapped to a higher dimensional space through a polynomial function. The expanded vectors are then passed to a single layer network to compute the model parameters. However, as ... -
Glove-Based Continuous Arabic Sign Language Recognition in User-Dependent Mode
Tubaiz, Noor Ali; Shanableh, Tamer; Assaleh, Khaled (IEEE, 2015)In this paper we propose a glove-based Arabic sign language recognition system using a novel technique for sequential data classification. We compile a sensor-based dataset of 40 sentences using an 80-word lexicon. In the ... -
H.264/AVC Motion Vector Concealment Solutions Using Online and Offline Polynomial Regression
Shanableh, Tamer; Assaleh, Khaled (Springer, 2015)This paper introduces two polynomial regression solutions for error concealment by predicting the values of motion vectors of lost macroblocks. The two solutions are online and offline polynomial regression modeling. In ... -
Kinetics and thermodynamics of acoustic release of doxorubicin from non-stabilized polymeric micelles
Husseini, Ghaleb; Abouelnasr, Dana; Pitt, William G.; Assaleh, Khaled; Farahat, Lujein O.; Fahadi, Jalal (Elsevier, 2010)This paper studies the thermodynamic characteristics of ultrasound-activated release of Doxorubicin (Dox) from micelles. The release and re-encapsulation of Dox into Pluronic® P105 micelles was measured by recording the ... -
Multiple Proposals for Continuous Arabic Sign Language Recognition
Hassan, Mohamed; Assaleh, Khaled; Shanableh, Tamer (Springer, 2019)The deaf community relies on sign language as the primary means of communication. For the millions of people around the world who suffer from hearing loss, interaction with hearing people is quite difficult. The main ... -
Novel algorithms for accurate DNA base-calling
Mohammed, Omniyah Gul; Assaleh, Khaled; Husseini, Ghaleb; Majdalawieh, Amin (Scientific Research Publishing, 2013)The ability to decipher the genetic code of different species would lead to significant future scientific achievements in important areas, including medicine and agriculture. The importance of DNA sequencing necessitated ... -
Novel Feature Extraction and Classification Technique for Sensor-Based Continuous Arabic Sign Language Recognition
Tuffaha, Mohammed; Shanableh, Tamer; Assaleh, Khaled (Springer, 2015)This paper proposes a novel approach to continuous Arabic Sign Language recognition. We use a dataset which contains 40 sentences composed from 80 sign language words. The dataset is collected using sensor-based gloves. ... -
Robust Polynomial Classifier Using L1-norm minimization
Assaleh, Khaled; Shanableh, Tamer (Springer, 2010)In this paper we present a robust polynomial classifier based on L1-norm minimization. We do so by reformulating the classifier training process as a linear programming problem. Due to the inherent insensitivity of the ... -
Spatio-Temporal Feature-Extraction Techniques for Isolated Gesture Recognition in Arabic Sign Language
Shanableh, Tamer; Assaleh, Khaled; Al-Rousan, Mohammad (IEEE, 2007)This paper presents various spatio-temporal feature-extraction techniques with applications to online and offline recognitions of isolated Arabic Sign Language gestures. The temporal features of a video-based gesture are ... -
Telescopic Vector Composition and Polar Accumulated Motion Residuals for Feature Extraction in Arabic Sign Language Recognition
Shanableh, Tamer; Assaleh, Khaled (Springer, 2007)This work introduces two novel approaches for feature extraction applied to video-based Arabic sign language recognition, namely, motion representation through motion estimation and motion representation through motion ... -
User-independent recognition of Arabic sign language for facilitating communication with the deaf community
Shanableh, Tamer; Assaleh, Khaled (Elsevier, 2011)This paper presents a solution for user-independent recognition of isolated Arabic Sign language gestures. The video based gestures are preprocessed to segment out the hands of the signer based on color segmentation of the ...