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20242026
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cs.CY2024

Elevating Information System Performance: A Deep Dive into Quality Metrics

Dana A Abdullah, Hewir A. Khidir, Ismail Y. Maolood +6

In today's digital age, information systems (IS) are indispensable tools for organizations of all sizes. The quality of these systems, encompassing system, information, and service…

cs.CL2024

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…

eess.AS2024

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…

cs.CL2024

Enhancing Kurdish Text-to-Speech with Native Corpus Training: A High-Quality WaveGlow Vocoder Approach

Abdulhady Abas Abdullah, Sabat Salih Muhamad, Hadi Veisi

The ability to synthesize spoken language from text has greatly facilitated access to digital content with the advances in text-to-speech technology. However, effective TTS develop…

eess.AS2024

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…

cs.NE2024

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…