Zulfiqar, Anam(School of Electrical Engineering and Computer Science, (SEECS)NUST, 2025)
The following thesis presents the research to promote generalizability and explain
ability across multiple drug-disease contexts to integrate transfer learning into a re
inforcement learning framework. To address and ...
Gull, Muqaddas(School of Electrical Engineering and Computer Science (SEECS)NUST, 2024)
Modern computer vision tasks rely heavily on extensive training data for accurate classification.
However, the collection and annotation of such data can be impractical.
To address this challenge, zero-shot learning (ZSL) ...
Shahzad, Khuram(School of Electrical Engineering and Computer Science (SEECS)NUST, 2024)
In the modern era of rapid urbanization and pressing environmental concerns, the concept
of smart grids has emerged as a pivotal solution towards sustainable and energyefficient
cities. To fully leverage the capabilities ...
Mati Ur Rahman, Hafiz(School of Electrical Engineering & Computer Science (SEECS),NUST, 2024)
In an era marked by the relentless demand for enhanced networking solutions, this research
delves into the realm of Software Defined Optical Networks (SDON). Harnessing
the transformative power of Software Defined ...
Javed, Muhammad Aqib(School of Electrical Engineering and Computer Science (SEECS)NUST, 2025)
Biomedical Image Segmentation applications have witnessed mushroom growth in the last two decades. Current state-of-the-art approaches encounter challenges when faced with imbalances in dataset instances. Various functions, ...
Environmental pollution is a critical global issue caused by large volumes of waste generated.
Recycling is emerging as one of the most viable solutions to mitigate the impact of waste on
environment. This study focuses ...
Asghar, Sobia(School of Electrical Engineering and Computer Science (SEECS-NUST), 2024)
Employing transformer-based architectures in image inpainting has significantly advanced the
quality of generated results. By leveraging self-attention mechanisms, transformers can cap
ture long-range dependencies within ...
The rapid expansion of social media has intensified the spread of hate speech and online
harassment, posing serious threats to vulnerable groups based on age, gender, religion,
and ethnicity. While Artificial Intelligence ...
Khalid, Javeria(School of Electrical Engineering and Computer Science,(SEECS) NUST Islamabad, 2024)
The detection of abnormalities is a crucial step that requires an early diagnosis for effective management of respiratory diseases. These diseases if not detected at an early stage can prove to be life threatening. The ...
Rasool, Arooj(School of Electrical Engineering and Computer Science,(SEECS) NUST Islamabad, 2024)
Parkinson’s disease (PD) is a progressive neurological disorder that results in loss of
dopaminergic neurons in brain and has a profound effect in patients, particularly because of the motor symptoms, including bradykinesia, ...
Taj, Rabia(School of Electrical Engineering and Computer Science,(SEECS) NUST Islamabad, 2024)
Parkinson’s disease is a typical and very invalidating neurogenerative disorder characterized
by specific motor symptoms: bradykinesia, tremor, and dyskinesias. All of
these significantly decrease the quality of life of ...
Babar, Mishal(School of Electrical Engineering and Computer Science,(SEECS) NUST Islamabad, 2024)
Working mothers entrust their children to daycare centers, which in turn provide parents with a detailed report of the food given to the child throughout the day. This research work develops an application that uses the ...
Tanveer, Hira(NUST School of Electrical Engineering and Computer Science (NUST SEECS), 2024)
Financial service providers are subjected to stringent regulations and their investment
decisions undergo continuous scrutiny by regulatory committees. Despite the potential of Artificial Intelligence (AI) to transform ...
Sajid, Sana(Electrical Engineering in School of Electrical Engineering & Computer Science, (SEECS), NUST, 2024)
Anticipating stock market fluctuations is a crucial routine that investors must engage in when
participating in the stock trading market, making it an intriguing research area. The stock market
is subjected to the ...
Khan, Janita(School of Electrical Engineering & Computer Science (SEECS), NUST, 2024)
Neural Networks rely heavily on Activation Functions. These functions determine how the
network responds to its inputs and how it learns. Traditional activation functions, such as the
rectified linear unit (ReLU) and ...
Arif, Hannan(School of Electrical Engineering and Computer Science,(SEECS) NUST Islamabad, 2024)
In the ever-evolving landscape of business app development, companies face the challenge
of whether to update their existing apps, originally built using native methods, to
a hybrid approach. Many organizations hesitate ...
Learning scene geometry has become a potential frontier in the field of computer vision, which
uses RGB value prediction to provide important information about objects and settings. Neural
Radiance Fields NeRF is one ...
Qaisar, Muhammad(School of Electrical Engineering and Computer Science,(SEECS) NUST Islamabad, 2024)
The growing sophistication and frequency of cyber threats call for new methods to detect, analyze,
and respond. Many of the traditional cybersecurity approaches are known to leave gaps
as they fail to factor in or address ...
In Legal Judgement Prediction (LJP), the primary aim is to anticipate the judgment outcome by
analyzing the factual description of criminal or civil cases, a field gaining increasing attention
within legal research. ...
Khan, Shahid Ali(School of Electrical Engineering & Computer Science (SEECS), NUST, 2024)
The Novel Coronavirus (COVID-19), which emerged in late 2019, was first identified in
Wuhan, China. It rapidly escalated into a global pandemic, affecting millions and causing
unprecedented social and economic disruptions. ...