44 citations · 78 across the 7 of their papers we have counts for
7 papers
Advancing Offline Handwritten Text Recognition: A Systematic Review of Data Augmentation and Generation Techniques
Yassin Hussein Rassul, Aram M. Ahmed, Polla Fattah +4
Offline Handwritten Text Recognition (HTR) systems play a crucial role in applications such as historical document digitization, automatic form processing, and biometric authentica…
Advanced Clustering Techniques for Speech Signal Enhancement: A Review and Metanalysis of Fuzzy C-Means, K-Means, and Kernel Fuzzy C-Means Methods
Abdulhady Abas Abdullah, Aram Mahmood Ahmed, Tarik Rashid +1
Speech signal processing is a cornerstone of modern communication technologies, tasked with improving the clarity and comprehensibility of audio data in noisy environments. The pri…
Kurdish Handwritten Character Recognition using Deep Learning Techniques
Rebin M. Ahmed, Tarik A. Rashid, Polla Fattah +5
Handwriting recognition is one of the active and challenging areas of research in the field of image processing and pattern recognition. It has many applications that include: a re…
An Improved Simulation Model for Pedestrian Crowd Evacuation
Danial A. Muhammed, Tarik A. Rashid, Abeer Alsadoon +4
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…
A survey on dragonfly algorithm and its applications in engineering
Chnoor M. Rahman, Tarik A. Rashid, Abeer Alsadoon +3
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,…
Measuring Player's Behaviour Change over Time in Public Goods Game
Polla Fattah, Uwe Aickelin, Christian Wagner
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 gro…
Optimising Rule-Based Classification in Temporal Data
Polla Fattah, Uwe Aickelin, Christian Wagner
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 stu…