All Outputs (13)

Enhancing Drug Discovery and Patient Care through Advanced Analytics with The Power of NLP and Machine Learning in Pharmaceutical Data Interpretation (2024)
Journal Article

This study delves into the transformative potential of Machine Learning (ML) and Natural Language Processing (NLP) within the pharmaceutical industry, spotlighting their significant impact on enhancing medical research methodologies... Read More about Enhancing Drug Discovery and Patient Care through Advanced Analytics with The Power of NLP and Machine Learning in Pharmaceutical Data Interpretation.

Improvement of OLSRv2 massage format and message interval to reduce routing overhead in a D2D communication network (2024)
Presentation / Conference Contribution

Optimized Link State Routing Protocol (OLSR) is one of the most famous and widely used proactive routing protocols in Device-to-Device (D2D) communication network. The traditional OLSR and OLSRv2 experience significantly higher routing overhead due t... Read More about Improvement of OLSRv2 massage format and message interval to reduce routing overhead in a D2D communication network.

An Improved Routing Protocol for Optimum Quality of Service in Device-to-Device and Energy Efficiency in 5G/B5G (2024)
Journal Article
Bunu, S. M., Alani, O. Y., & Saraee, M. (2024). An Improved Routing Protocol for Optimum Quality of Service in Device-to-Device and Energy Efficiency in 5G/B5G. Future Internet, 16(9), Article 347. https://doi.org/10.3390/fi16090347

Some challenges when implementing the optimized link state routing (OLSR) protocol on real-life devices and simulators are unmanageable: link quality, rapid energy depletion, and high processor loads. The causes of these challenges are link state pro... Read More about An Improved Routing Protocol for Optimum Quality of Service in Device-to-Device and Energy Efficiency in 5G/B5G.

Optimizing Pandemic Control Strategies: A Deep Reinforcement Learning Approach in Public Health Management (2024)
Thesis

COVID-19, also known as the SARS-CoV-2 coronavirus, has paralysed the world and
forced people to change their lifestyles. Since COVID-19 deaths are increasing daily, the
disease has become a global public health issue. Different countries used diff... Read More about Optimizing Pandemic Control Strategies: A Deep Reinforcement Learning Approach in Public Health Management.

Features in extractive supervised single-document summarization: case of Persian news (2024)
Journal Article
Rezaei, H., Mirhosseini, S. A. M., Shahgholian, A., & Saraee, M. (2024). Features in extractive supervised single-document summarization: case of Persian news. Language Resources and Evaluation, 58(4), 1073-1091. https://doi.org/10.1007/s10579-024-09739-7

Text summarization has been one of the most challenging areas of research in NLP. Much effort has been made to overcome this challenge by using either abstractive or extractive methods. Extractive methods are preferable due to their simplicity compar... Read More about Features in extractive supervised single-document summarization: case of Persian news.

Real-Time Application Of Deepfake For De-Identification Privacy Preservation And Data Protection (2024)
Thesis

In an era marked by mounting concerns over data privacy and protection, conventional
regulatory measures have proven inadequate against cyber-attacks, complicating data sharing
for research and development. Meanwhile, traditional face de-identifica... Read More about Real-Time Application Of Deepfake For De-Identification Privacy Preservation And Data Protection.

Improving Predictive Process Analytics with Deep Learning and XAI (2024)
Thesis

In this doctoral thesis, we explore the innovative application of the Tab Transformer
architecture in the realm of predictive process mining, marking a significant advancement in
forecasting subsequent events within activity sequences. Utilising th... Read More about Improving Predictive Process Analytics with Deep Learning and XAI.

A Decentralised Peer-to-Peer Energy Trading Platform for Residential Homes (2024)
Thesis

To achieve a sustainable and low-carbon energy system, it is necessary to develop novel solutions for the way household energy is consumed. Homes that have solar photovoltaic (PV) systems, electric vehicles (EVs), and microgrids can potentially trans... Read More about A Decentralised Peer-to-Peer Energy Trading Platform for Residential Homes.

Early dementia detection with speech analysis and machine learning techniques (2024)
Journal Article

This in-depth study journey explores the context of natural language processing and text analysis in dementia detection, revealing their importance in a variety of fields. Beginning with an examination of the widespread and influence of text data. Th... Read More about Early dementia detection with speech analysis and machine learning techniques.

Developing a Framework to Identify Professional Skills Required for Banking Sector Employee in UK using Natural Language Processing (NLP) Techniques (2024)
Thesis

The banking sector is changing dramatically, and new studies reveal that many financial institutions are having challenges keeping up with technology advancements and an acute shortage of skilled workers. The banking industry is changing into a dynam... Read More about Developing a Framework to Identify Professional Skills Required for Banking Sector Employee in UK using Natural Language Processing (NLP) Techniques.

Optimizing the Parameters of Relay Selection Model in D2D Network (2024)
Presentation / Conference Contribution

The Fifth generation (5G) cellular network's traffic load is certain to expand significantly in the near future as a result of its flexibility, high speed, increased bandwidth, better connectivity and low latency. Consequently, it is necessary to inv... Read More about Optimizing the Parameters of Relay Selection Model in D2D Network.

Optimizing the Parameters of Relay Selection Model in OLSRv2 D2D Network (2024)
Presentation / Conference Contribution

Benefits of Vehicle-to-Grid (V2G) Technology (2024)
Journal Article

As a result of the recent energy crisis and concerns about the state of the environment, more people are opting for electric vehicles over the more typical internal combustion engine vehicle. This article provides a comprehensive overview of vehicle-... Read More about Benefits of Vehicle-to-Grid (V2G) Technology.