Polla Fattah

Polla Fattah
Salahaddin University - Erbil | SUH · Department of Software Engineering

Lecturer at Salahaddin University-Erbil

About

29
Publications
12,763
Reads
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66
Citations
Introduction
Additional affiliations
October 2017 - present
Salahaddin University - Erbil
Position
  • Lecturer
October 2012 - October 2017
University of Nottingham
Position
  • Laboratory Assistant
September 2009 - January 2018
Salahaddin University - Erbil
Position
  • Lecturer
Education
October 2012 - August 2017
University of Nottingham
Field of study
  • Computer Science, Data Mining and Machine Learning

Publications

Publications (29)
Article
Handwriting recognition is regarded as a dynamic and inspiring topic in the exploration of pattern recognition and image processing. It has many applications including a blind reading aid, computerized reading, and processing for paper documents, making any handwritten document searchable and converting it into structural text form. High accuracy r...
Preprint
p> The dragonfly algorithm developed in 2016. It is one of the algorithms used by the researchers to optimize an extensive series of uses and applications in various areas. At times, it offers superior performance compared to the most well-known optimization techniques. However, this algorithm faces several difficulties when it is utilized to enha...
Article
Full-text available
To collect the handwritten format of separate Kurdish characters, each character has been printed on a grid of 14 × 9 of A4 paper. Each paper is filled with only one printed character so that the volunteers know what character should be written in each paper. Then each paper has been scanned, spliced, and cropped with a macro in photoshop to make s...
Article
Full-text available
The dragonfly algorithm was developed in 2016. It is one of the algorithms used by researchers to optimize an extensive series of uses and applications in various areas. At times, it offers superior performance compared to the most well-known optimization techniques. However, this algorithm faces several difficulties when it is utilized to enhance...
Article
Full-text available
This paper works on one of the most recent pedestrian crowd evacuation models-i.e., "a simulation model for pedestrian crowd evacuation based on various AI techniques"-which was developed in late 2019. This study adds a new feature to the developed model by proposing a new method and integrating it into the model. This method enables the developed...
Preprint
p>This paper works on one of the most recent pedestrian crowd evacuation models, i.e., “a simulation model for pedestrian crowd evacuation based on various AI techniques”, developed in late 2019. This study adds a new feature to the developed model by proposing a new method and integrating it with the model. This method enables the developed model...
Preprint
Full-text available
This paper works on one of the most recent pedestrian crowd evacuation models, i.e., "a simulation model for pedestrian crowd evacuation based on various AI techniques", developed in late 2019. This study adds a new feature to the developed model by proposing a new method and integrating it with the model. This method enables the developed model to...
Preprint
p> Dragonfly algorithm developed in 2016. It is one of the algorithms used by the researchers to optimize an extensive series of uses and applications in various areas. At times, it offers superior performance compared to the most well-known optimization techniques. However, this algorithm faces several difficulties when it is utilized to enhance...
Article
Full-text available
At present, deep learning is widely used in a broad range of arenas. A convolutional neural networks (CNN) is becoming the star of deep learning as it gives the best and most precise results when cracking real-world problems. In this work, a brief description of the applications of CNNs in two areas will be presented: First, in computer vision, gen...
Article
Full-text available
Recurrent Neural Networks (RNNs) are possibly the most prevailing and advantageous type of neural network. On the other hand, these networks still have some weaknesses in terms of learning speed, error convergence, and accuracy due to long-term dependencies, which need to be solved. Long-term dependencies are mainly exploding and vanishing gradient...
Conference Paper
The needs of communities and the new emerging technologies aspire researchers to come up with new and innovative ways to fulfil these needs. Sign languages are said to be a visual language that is used by the deaf community. Undoubtedly, there is a communication difficulty between the hearing-impaired people and the hearing community. To overcome t...
Article
Full-text available
Stemming is one of the main important preprocessing techniques that can be used to enhance the accuracy of text classification. The key purpose of using the stemming is combining the number of words that have same stem to decrease high dimensionality of feature space. Reducing feature space cause to decline time to construct a model and minimize th...
Conference Paper
Full-text available
An important issue in public goods game is whether player’s behaviour changes over time, and if so, how significant it is. In this game players can be classified into different groups according to the level of their participation in the public good. This problem can be considered as a concept drift problem by asking the amount of change that happen...
Chapter
Full-text available
In the public goods game, players can be classified into different types according to their participation in the game. It is an important issue for economists to be able to measure players’ strategy changes over time which can be considered as concept drift. In this study, we present a method for measuring changes in items’ cluster membership in te...
Thesis
Full-text available
Classifying items using temporal data, i.e. several readings of the same attribute in different time points, has many applications in the real world. The pivotal question which motivates this study is: ''Is it possible to quantify behavioural change in temporal data? And what is the best reference point to compare the behaviour change with?". The f...
Conference Paper
Full-text available
An important issue in public goods game is whether player's behaviour changes over time, and if so, how significant it is. In this game players can be classified into different groups according to the level of their participation in the public good. This problem can be considered as a concept drift problem by asking the amount of change that happen...
Article
Full-text available
This study optimises manually derived rule-based expert system classification of objects according to changes in their properties over time. One of the key challenges that this study tries to address is how to classify objects that exhibit changes in their behaviour over time, for example how to classify companies’ share price stability over a peri...
Conference Paper
Full-text available
This study optimises manually derived rule-based expert system classification of objects according to changes in their properties over time. One of the key challenges that this study tries to address is how to classify objects that exhibit changes in their behaviour over time, for example how to classify companies’ share price stability over a peri...
Conference Paper
Full-text available
This paper introduces an optimization approach for association rule mining in the time-memory domain. The approach splits the running mode of the traditional data mining algorithm into two phases. The first phase is designed to calculate all item sets in every transaction together with their frequencies (without pruning) and indexes their accumulat...
Conference Paper
Full-text available
This paper introduces an optimization approach for association rule mining in the time-memory domain. The approach splits the running mode of the traditional data mining algorithm into two phases. The first phase is designed to calculate all item sets in every transaction together with their frequencies (without pruning) and indexes their accumulat...
Article
Full-text available
The Web Based Application Visualization for Comprehensive Data Structures (WVCDS) project includes a Web based to sup- port the teaching of introductory computer-science statistics courses. The web application provides easy access to interface, watch sorting process dramatically when barter between each value regarding user need with ascending or d...
Poster
Full-text available
Well known categorizations for public goods game distribute players into four classes which they are conditional contributor, free rider, triangular contributor, and Uncategorized (Others). This classification entirely depends on the player’s answers for questions before starting the game about their willingness for contribution in a public good pr...
Presentation
Full-text available
Many studies show that players’ contribution in public goods games are declining throughout a series of consequent game plays. Some studies take these results as an indication of decaying of conditional contributors while others argue that this is not the case and depends on other factors (e.g. boredom) which may affect players’ contribution. This...
Presentation
Full-text available
Measuring Micro Changes over Time in Clustering
Data
Full-text available
This study aims to find how people’s preferences change over time in public good games by clustering subjects into multiple groups of preference according to their behaviour inside an experimental game. After collecting data based on separate segments of time and clustering each segment individually the difference between any two segments is measur...
Thesis
Full-text available
Modern humans found themselves living in an expanding universe of data in which there is too much data and too little information. The development of new techniques to find the required information from huge amount of data is one of the main challenges for software developers today. The process of knowledge discovering from data or databases is cal...

Network

Cited By

Projects

Projects (2)
Project
Temporal Rule-Based Classification Using Differential Evolution