7 citations · 23 across the 15 of their papers we have counts for
16 papers
The Role of Orthographic Consistency in Multilingual Embedding Models for Text Classification in Arabic-Script Languages
Abdulhady Abas Abdullah, Amir H. Gandomi, Tarik A Rashid +4
In natural language processing, multilingual models like mBERT and XLM-RoBERTa promise broad coverage but often struggle with languages that share a script yet differ in orthograph…
From Dialect Gaps to Identity Maps: Tackling Variability in Speaker Verification
Abdulhady Abas Abdullah, Soran Badawi, Dana A. Abdullah +1
The complexity and difficulties of Kurdish speaker detection among its several dialects are investigated in this work. Because of its great phonetic and lexical differences, Kurdis…
Speaker Diarization for Low-Resource Languages Through Wav2vec Fine-Tuning
Abdulhady Abas Abdullah, Sarkhel H. Taher Karim, Sara Azad Ahmed +2
Speaker diarization is a fundamental task in speech processing that involves dividing an audio stream by speaker. Although state-of-the-art models have advanced performance in high…
An Improved FOX Optimization Algorithm Using Adaptive Exploration and Exploitation for Global Optimization
Mahmood A. Jumaah, Yossra H. Ali, Tarik A. Rashid
Optimization algorithms are essential for solving many real-world problems. However, challenges such as getting trapped in local minima and effectively balancing exploration and ex…
A Proposed Hybrid Recommender System for Tourism Industry in Iraq Using Evolutionary Apriori and K-means Algorithms
Bryar A. Hassan, Alla A. Hassan, Joan Lu +2
The rapid proliferation of tourism data across sectors, including accommodations, cultural sites, and events, has made it increasingly challenging for travelers to identify relevan…
Multi-objective Cat Swarm Optimization Algorithm based on a Grid System
Aram M. Ahmed, Bryar A. Hassan, Tarik A. Rashid +4
This paper presents a multi-objective version of the Cat Swarm Optimization Algorithm called the Grid-based Multi-objective Cat Swarm Optimization Algorithm (GMOCSO). Convergence a…
Artificial Liver Classifier: A New Alternative to Conventional Machine Learning Models
Mahmood A. Jumaah, Yossra H. Ali, Tarik A. Rashid
Supervised machine learning classifiers sometimes face challenges related to the performance, accuracy, or overfitting. This paper introduces the Artificial Liver Classifier (ALC),…
NER- RoBERTa: Fine-Tuning RoBERTa for Named Entity Recognition (NER) within low-resource languages
Abdulhady Abas Abdullah, Srwa Hasan Abdulla, Dalia Mohammad Toufiq +8
Nowadays, Natural Language Processing (NLP) is an important tool for most people's daily life routines, ranging from understanding speech, translation, named entity recognition (NE…
MOANA: Multi-Objective Ant Nesting Algorithm for Optimization Problems
Noor A. Rashed, Yossra H. Ali Tarik A. Rashid, Seyedali Mirjalili
This paper presents the Multi-Objective Ant Nesting Algorithm (MOANA), a novel extension of the Ant Nesting Algorithm (ANA), specifically designed to address multi-objective optimi…
End-to-End Transformer-based Automatic Speech Recognition for Northern Kurdish: A Pioneering Approach
Abdulhady Abas Abdullah, Shima Tabibian, Hadi Veisi +2
Automatic Speech Recognition (ASR) for low-resource languages remains a challenging task due to limited training data. This paper introduces a comprehensive study exploring the eff…
Optimizing Feature Selection with Genetic Algorithms: A Review of Methods and Applications
Zhila Yaseen Taha, Abdulhady Abas Abdullah, Tarik A. Rashid
Analyzing large datasets to select optimal features is one of the most important research areas in machine learning and data mining. This feature selection procedure involves dimen…
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…
Unraveling the Versatility and Impact of Multi-Objective Optimization: Algorithms, Applications, and Trends for Solving Complex Real-World Problems
Noor A. Rashed, Yossra H. Ali, Tarik A. Rashid +1
Multi-Objective Optimization (MOO) techniques have become increasingly popular in recent years due to their potential for solving real-world problems in various fields, such as log…
FOXANN: A Method for Boosting Neural Network Performance
Mahmood A. Jumaah, Yossra H. Ali, Tarik A. Rashid +1
Artificial neural networks play a crucial role in machine learning and there is a need to improve their performance. This paper presents FOXANN, a novel classification model that c…
Breaking Walls: Pioneering Automatic Speech Recognition for Central Kurdish: End-to-End Transformer Paradigm
Abdulhady Abas Abdullah, Hadi Veisi, Tarik Rashid
End-to-end transformer-based models epitomize the cutting-edge in Automatic Speech Recognition (ASR) systems. Despite their substantial benefits, these models demand extensive trai…
QF-tuner: Breaking Tradition in Reinforcement Learning
Mahmood A. Jumaah, Yossra H. Ali, Tarik A. Rashid
In reinforcement learning algorithms, the hyperparameters tuning method refers to choosing the optimal parameters that may increase the overall performance. Manual or random hyperp…