Search Results - "Tharwat, Alaa"

Classification assessment methods by Tharwat, Alaa

“…Classification techniques have been applied to many applications in various fields of sciences. There are several ways of evaluating classification algorithms…”
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Independent component analysis: An introduction by Tharwat, Alaa

“…Independent component analysis (ICA) is a widely-used blind source separation technique. ICA has been applied to many applications. ICA is usually utilized as…”
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Parameters optimization of support vector machines for imbalanced data using social ski driver algorithm by Tharwat, Alaa, Gabel, Thomas

“…The parameters of support vector machines (SVMs) such as kernel parameters and the penalty parameter have a great influence on the accuracy and complexity of…”
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Chaotic dragonfly algorithm: an improved metaheuristic algorithm for feature selection by Sayed, Gehad Ismail, Tharwat, Alaa, Hassanien, Aboul Ella

“…Selecting the most discriminative features is a challenging problem in many applications. Bio-inspired optimization algorithms have been widely applied to…”
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Bezier Curve Based Path Planning in a Dynamic Field using Modified Genetic Algorithm by Elhoseny, Mohamed, Tharwat, Alaa, Hassanien, Aboul Ella

“…•This paper proposes an efficient, Bezier curve based approach for the path planning in a dynamic field using Modified Genetic Algorithm (MGA).•The path…”
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A Survey on Active Learning: State-of-the-Art, Practical Challenges and Research Directions by Tharwat, Alaa, Schenck, Wolfram

“…Despite the availability and ease of collecting a large amount of free, unlabeled data, the expensive and time-consuming labeling process is still an obstacle…”
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Intelligent Bézier curve-based path planning model using Chaotic Particle Swarm Optimization algorithm by Tharwat, Alaa, Elhoseny, Mohamed, Hassanien, Aboul Ella, Gabel, Thomas, Kumar, Arun

“…Path planning algorithms have been used in different applications with the aim of finding a suitable collision-free path which satisfies some certain criteria…”
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A Novel Low-Query-Budget Active Learner with Pseudo-Labels for Imbalanced Data by Tharwat, Alaa, Schenck, Wolfram

“…Despite the availability of a large amount of free unlabeled data, collecting sufficient training data for supervised learning models is challenging due to the…”
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A Wheelchair Control System Using Human-Machine Interaction: Single-Modal and Multimodal Approaches by Shahin Mohamed K., Tharwat Alaa, Gaber Tarek, Hassanien Aboul Ella

“…Recent research studies showed that brain-controlled systems/devices are breakthrough technology. Such devices can provide disabled people with the power to…”
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Parameter investigation of support vector machine classifier with kernel functions by Tharwat, Alaa

“…Support vector machine (SVM) is one of the well-known learning algorithms for classification and regression problems. SVM parameters such as kernel parameters…”
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Personal Identification Using Ears Based on Statistical Features by Othman, Alaa Tharwat

“…Biometrics is an automated method of recognizing a person based on a physiological (e.g. face, iris, or retina) or behavioral (e.g. gait, signature, or dynamic…”
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A conceptual and practical comparison of PSO-style optimization algorithms by Tharwat, Alaa, Schenck, Wolfram

“…Optimization algorithms are widely employed for finding optimal solutions in many applications. Stochastic optimization algorithms including nature-inspired…”
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Using Methods From Dimensionality Reduction for Active Learning With Low Query Budget by Tharwat, Alaa, Schenck, Wolfram

“…Recently, it has been challenging to generate enough labeled data for supervised learning models from a large amount of free unlabeled data due to the high…”
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Active Learning for Handling Missing Data by Tharwat, Alaa, Schenck, Wolfram

“…Recently, the massive growth of IoT devices and Internet data, which are widely used in many applications, including industry and healthcare, has dramatically…”
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Chaotic antlion algorithm for parameter optimization of support vector machine by Tharwat, Alaa, Hassanien, Aboul Ella

“…Support Vector Machine (SVM) is one of the well-known classifiers. SVM parameters such as kernel parameters and penalty parameter ( C ) significantly influence…”
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Balancing Exploration and Exploitation: A novel active learner for imbalanced data by Tharwat, Alaa, Schenck, Wolfram

“…Active learning receives great interest from researchers with the aim of reducing the amount of time, cost, and efforts for labeling data in many applications…”
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Population initialization techniques for evolutionary algorithms for single-objective constrained optimization problems: Deterministic vs. stochastic techniques by Tharwat, Alaa, Schenck, Wolfram

“…The population initialization step is a common step in the majority (or even all) of evolutionary algorithms (EAs). There are many population initialization…”
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Optimizing K-coverage of mobile WSNs by Elhoseny, Mohamed, Tharwat, Alaa, Yuan, Xiaohui, Hassanien, Aboul Ella

“…Recently, Wireless Sensor Networks (WSNs) are widely used for monitoring and tracking applications. Sensor mobility adds extra flexibility and greatly expands…”
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Quantum-Behaved Particle Swarm Optimization for Parameter Optimization of Support Vector Machine by Tharwat, Alaa, Hassanien, Aboul Ella

“…Support vector machine (SVM) parameters such as penalty parameter and kernel parameters have a great influence on the complexity and accuracy of SVM model. In…”
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Recognizing human activity in mobile crowdsensing environment using optimized k-NN algorithm by Tharwat, Alaa, Mahdi, Hani, Elhoseny, Mohamed, Hassanien, Aboul Ella

“…•In this paper, a novel model is proposed for recognizing human activities.•k-NN classifier was employed in our model for classifying human…”
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