Research ArticleOpen accessIn the author namesA Robust Ensemble Convolutional Neural Networks for Diagnosing Chest DiseasesMansour Ali Alhlalat, Ahmad Abdel-Aziz Sharieh, Mohammed Belal Al-ZoubiRadiologists employ X-ray images to differentiate various chest diseases. Given the intricate and meticulous nature of this diagnostic procedure, the assistance of automated models becomes imperative in detecting and diagnosing diseases from X-ray images. This research paper proposed a novel approach called Ensemble Convolutional Neural Network for Diagnosing Chest Diseases (ECDCNet), aimed at accurately and efficiently diagnosing fifteen different chest … …Journal of Computer Science, Vol. 19, Issue 12 · 27 Oct 2023 · 5,108 accessesView PDFCite
Research ArticleOpen accessIn the author namesClassification of Transformed and Geometrically Distorted Images using Convolutional Neural NetworkSanad Aburass, Ammar Huneiti, Mohammad Belal Al-ZoubiConvolutionalNeural Network is a deep learning method that is used in many image-relatedapplications, such as image recognition and classification, it has achievedgreat performance in these fields, but it still suffers from some shortcomings.One of these shortcomings is not being able to be invariant to the input datadue to some image transformations like translation, rotation, scaling, andgeometric distortions such as skewness, … …Journal of Computer Science, Vol. 18, Issue 8 · 26 Aug 2022 · 6,145 accessesView PDFCite
Research ArticleOpen accessIn the author namesFull Model Wind Tunnel Study on the Xia-Zhang Bridge Under Operation StageAyad Thabit Saeed, Zhang Liang Liang, Yang Zhuan Yun et al.Problem statement: Long-span cable-stayed bridges under service and particular construction conditions are very susceptible to wind action due to their great flexibility, so the aerodynamic stability is becoming a major concern in the design and construction phrases. Cable-stayed bridges may exhibit wind-induced vibration phenomena such as flutter, buffeting and vortex oscillation under wind excitation. The study concentrated on the issues … …American Journal of Engineering and Applied Sciences, Vol. 3, Issue 2 · 30 Jun 2010 · 8,196 accessesView PDFCite
Research ArticleOpen accessIn the author namesLoad Balancing of Distributed Systems Based on Multiple Ant Colonies OptimizationAl-Dahoud Ali, Mohamed A. Belal, Moh’d Belal Al-ZoubiProblem statement: Ant Colony Optimization (ACO) provides a meta-heuristic optimization tool and collective intelligence model to several applications such as routing and load balancing. A lot of work found in the literature on using ACO in load balancing. However, as far as our knowledge, there was no work relating load balancing in distributed systems with ACO. Approach: In this study, … …American Journal of Applied Sciences, Vol. 7, Issue 3 · 31 Mar 2010 · 7,213 accessesView PDFCite
Research ArticleOpen accessIn the author namesInformation Hiding: A Generic ApproachRiad jabri, Boran Ibrahim, Hadi Al-ZoubiProblem statement: Privacy and security over communication channels are of primary concerns. Due to their complexity and diversity, there is a need for continuous improvements of the adopted solutions. In this study, we consider two of the adopted ones, namely, steganogrphy and cryptography and propose a new information hiding system. Approach: The proposed system was based on a generic approach … …Journal of Computer Science, Vol. 5, Issue 12 · 31 Dec 2009 · 6,838 accessesView PDFCite
Research ArticleOpen accessIn the author namesWeb-based Projects Evaluation Management SystemS. Al-Zoubi, Z. M. Alfawaer, M. Al-ZoubiThis project designs a Web-based evaluation management system for the College of Arts and Sciences (CAS). Problem statement: The Msc students in College of Arts and Sciences (CAS) in applied sciences had to take their final project as a project paper in order to fulfill the requirements of their programs and be able to graduate. The final project was evaluated … …Journal of Computer Science, Vol. 4, Issue 11 · 30 Nov 2008 · 6,779 accessesView PDFCite
Research ArticleOpen accessIn the author namesNew Efficient Strategy to Accelerate k-Means Clustering AlgorithmMoh’d Belal Al- Zoubi, Amjad Hudaib, Ammar Huneiti, Bassam HammoOne of the most popular clustering techniques is the k-means clustering algorithm. However, the utilization of the k-means is severely limited by its high computational complexity. In this study, we propose a new strategy to accelerate the k-means clustering algorithm through the Partial Distance (PD) logic. The proposed strategy avoids many unnecessary distance calculations by applying efficient PD strategy. Experiments … …American Journal of Applied Sciences, Vol. 5, Issue 9 · 30 Sep 2008 · 7,440 accessesView PDFCite
Research ArticleOpen accessIn the author namesAn Efficient Approach for Computing Silhouette CoefficientsMoh'd B. Al- Zoubi, Mohammad al RawiOne popular approach for finding the best number of clusters (K) in a data set is through computing the silhouette coefficients. The silhouette coefficients for different values of K, are first found and then the maximum value of these coefficients is chosen. However, computing the silhouette coefficient for different Ks is a very time consuming process. This is due to … …Journal of Computer Science, Vol. 4, Issue 3 · 31 Mar 2008 · 8,072 accessesView PDFCite
Research ArticleOpen accessIn the author namesFast Algorithms for Outlier DetectionFawaz A.M. Masoud, Moh'd B. Al- Zoubi, Imad Salah, Ali Al-DahoudFinding fast algorithms to detect outliers (as unusual objects) by their distance to neighboring objects is a big desire. Two algorithms were proposed to detect outliers quickly. The first was based on the Partial Distance (PD) algorithm and the second was an improved version of the PD algorithm. It was found that the proposed algorithms reduced the number of distance … …Journal of Computer Science, Vol. 4, Issue 2 · 28 Feb 2008 · 7,046 accessesView PDFCite
Research ArticleOpen accessIn the author namesA Fast Distance-Based Algorithm to Detect OutliersMoh’d Belal Al-Zoubi, Nadim ObeidvA fast distance-based algorithm for outlier detection will be proposed. It was found that the proposed algorithm reduced the number of distance calculations compared to the nested-loop algorithm. Test results were performed on different well-known data sets. The results showed that the proposed algorithm gave a reasonable amount of CPU time saving. …Journal of Computer Science, Vol. 3, Issue 12 · 31 Dec 2007 · 6,734 accessesView PDFCite