Browsing by Author "amaghari"
Now showing items 1-20 of 41
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A Comparative Study of DCT and DWT Image Compression Techniques combined with Huffman coding
(ScopeMed Publishing, 2019-08)Image compression techniques have been widely used to store and transmit data which requires storage space and high transfer speed. The explosive growth of high-quality photos leads to the requirement of efficient technique ... -
A comparative Study of Sorting Algorithms Comb, Cocktail and Counting Sorting
(2017)The sorting algorithms problem is probably one of the most famous problems that used in abroad variety of application. There are many techniques to solve the sorting problem. In this paper, we conduct a comparative study ... -
A Comparative Study on Handwriting Digit Recognition Using Neural Networks
(IEEE, 2017)The handwritten digit recognition problem becomes one of the most famous problems in machine learning and computer vision applications. Many machine learning techniques have been employed to solve the handwritten digit ... -
A Comparative Study on Serial Decision Tree Classification Algorithms in Text Mining
(Infonomics Society, 2016)Text mining refers to the process of deriving high quality information from text. It is used in search engine, digital libraries, fraud detection, and other applications that handles text data. Text mining tasks include ... -
A Mixed Reality based Approach for Enhancing Drug Dispensing Process using Microsoft HoloLens
(Available at SSRN 3648492, 2020-07-13)Technology is considered as the key of modernity of any field of our life. Every department of pharmacy uses many types of modern technologies, starting from drug design to drug clinical studies to industrial pharmacy and ... -
A Social Network Analysis of Tweets during the Gaza War, Summer 2014
(Institute of Electrical and Electronics Engineers (IEEE), 2016-08-22)The platforms of social Networks play a growing role in influencing the public opinion. In addition, social Networks can describe the reaction of communities towards the reigning conflicts in the world. As a matter of fact, ... -
Adaptive face modelling for reconstructing 3D face shapes from single 2D images
(IET Digital Library, 2014)Example-based statistical face models using principle component analysis (PCA) have been widely deployed for three-dimensional (3D) face reconstruction and face recognition. The two common factors that are generally concerned ... -
Blood diseases detection using data mining techniques
(IEEE, 2017)In healthcare systems, there is huge medical data collected from many medical tests which conducted in many domains. Much research has been done to generate knowledge from medical data by using data mining techniques. ... -
Cancer survivability prediction using random forest and rule induction algorithms
(IEEE, 2017)The second largest cause of death in Palestine is Cancer at a rate 12.4% of all deaths. Predicting the survivability of a disease is one of the most interesting purposes of developing a medical data mining applications. ... -
Candidate Teacher Performance Prediction Using Classification Techniques
(IEEE, 2017)This paper aims to build data mining model to predict the performance of candidate teachers who apply for employment in education of high schools of Gaza Strip. We apply three classification algorithms on our dataset which ... -
Combining ICA Representations for Recognizing Faces
(Al-Zaytoonah University of Jordan, 2015)Independent Component Analysis (ICA) is a generalization of Principal Component Analysis (PCA), and it looks for components that are both statistically independent and non-Gaussian. ICA is sensitive to high-order statistic ... -
Comparison between image forgery detection algorithms
(IEEE, 2017)Today, the manipulation on the digital images has become a very easy and professional process using the capabilities of photo editing tools with the wide and rapid development in information technology and computer industry. ... -
COVID-19 Detection from Chest X-ray Scans using Machine Learning
(Institute of Electrical and Electronics Engineers (IEEE), 2020-12)Recently, the virus (COVID-19) has spread widely throughout the world and has led to the examination of large numbers of suspected cases using standard COVID-19 tests and has become pandemic. Everyday life, public health ... -
COVID-19 Detection in X-ray Images using CNN Algorithm
(Institute of Electrical and Electronics Engineers (IEEE), 2020-12)Based on the best published research from Stanford University, the CheXNet algorithm was developed to diagnose and detect pneumonia from chest X-rays. To achieve better performance than experienced radiologists from the ... -
Detecting Significant Events in Arabic Microblogs using Soft Frequent Pattern Mining
(Islamic University of Gaza, 2019-03-06)nowadays, people use microblogs as a main platform to write about events that occur in their environment. Many researches have been conducted for event detection on the English language, but, Arabic context has not received ... -
Distance-Based 3D Face Reconstruction Using Regularization
(Springer, Cham, 2015)This study addresses the problem of reconstructing 3D face shapes from a small set of 2D facial points. By using Maximum Posterior Probability estimation, prior information modeled by PCA is connected to Tikhonov regularization ... -
Dynamic Web Service Composition Method Based on OWL-S for Educational Environment
(University of Palestine, 2018) -
Effect of facial feature points selection on 3D face shape reconstruction using regularization
(Springer, Berlin, Heidelberg, 2012)This paper aims to test the regularized 3D face shape reconstruction algorithm to find out how the feature points selection affect the accuracy of the 3D face reconstruction based on the PCA-model. A case study on USF Human ... -
Effect of Training Sample on Reconstructing 3D Face Shapes from Feature Points
(Springer, Cham, 2013)Statistical learning models are recognized as important emerging methodologies in the area of data reconstruction. The learning models are trained from a set of examples to reach a state where the model will be able to ... -
Enhancing FP-Growth Performance Using Multi-threading based on Comparative Study
(Infonomics Society, 2015)The time required for generating frequent patterns plays an important role in mining association rules, especially when there exist a large number of patterns and/or long patterns. Association rule mining has been focused ...