This thesis discusses the similar and non-similar solutions of the hybrid nanofluid flows over varied geometries. Hybrid nanofluids are more versatile than traditional fluids because they have better heat transfer properties. ...
Globally, the use of smartphones has surged dramatically in recent years. The development of user centric operating systems for smartphones has played a vital role in the adaptability of these devices. Android by Google ...
Fawad Ur Rehman, 01-249231-005(Computer Sciences, 2025)
Rapid growth of short-video content on platforms such as TikTok, YouTube, Facebook, and Instagram has intensified the demand for robust recommendation systems (RS) that can effectively handle the cold-start problem. ...
Muddasir Aziz Khattak, 01-249231-007(Computer Sciences, 2025)
Predicting a person’s personality can significantly enhance personalized recommendations across various domains. This study introduces PersonalityBERT, a deep learning model designed to determine personality traits from ...
Natural Language Processing (NLP) in the legal domain has been a vibrant area of research for many years, while the ability to process text has effectively increased with the development of AI and NLP techniques. Due to ...
Jamil Ur Rahman, 01-249222-010(Computer Sciences, 2024)
Thalassemia, particularly beta-thalassemia major, is a severe genetic blood disorder that presents significant challenges in diagnosis due to its similarity to other anemias. The lack of advanced diagnostic tools, especially ...
Muhammad Hashim, 01-243222-006(Computer Sciences, 2025)
Machine Learning (ML) and Deep Learning (DL), more advanced techniques, are being studied in this particular paper as a method for early recognition and classification of leaf diseases on rice plants only for four common ...
Employee attrition is a significant problem that impacts organizational stability, productivity, and financial performance. High employee turnover generates various far-reaching costs, such as recruitment expenses, training ...
Muhammad Idrees, 01-243222-007(Computer Sciences, 2025)
With the rapid evolution of mobile communication from 1G to 6G, efficient resource management has become essential to meet increasing demands of the networks. Traditional static allocation methods struggle to handle dynamic ...
Hafiz Muhammad Ahmad, 01-243222-003(Computer Sciences, 2025)
Concrete bridges require timely and accurate defect detection in order to maintain their structural safety, time-consuming, expensive processes often suffer from human errors. Meta-learning is applied to enhance convolutional ...
Ali Arshad, 01-243231-002(Computer Sciences, 2025)
In light of the fast-evolving scenario of the IoT, network security constantly bears immense challenges due to the increasing number of cyber threats and vulnerabilities. Traditional intrusion detection systems use predefined ...
The study of understanding emotions and sentiments present in textual data is the focus of the developing area of emotion and sentiment analysis. The inability of modern technology to precisely recognize and comprehend ...
Chronic disease is one of the most common causes of death worldwide. Lack of awareness and inability to access medical help lead to complications in such patients. In IoMT (Internet of Medical Things), different sensors ...
This research work is based on the detection of phishing attacks and the analysis of different classifiers. We have proposed a framework that describes different aspects of website content and architecture, such as the ...
Muhammad Mutahhar Abbas, 01-243212-013(Computer Sciences, 2024)
The rapid evolution of malware and its increasing complexity necessitate innovative detection and classification methods to ensure robust cybersecurity. Traditional methods, which largely rely on signature-based and heuristic ...
Sentiment analysis and mental health identification are critical areas in natural language processing (NLP) with significant implications for understanding human emotions and psychological states through text. Sentiment ...
Facial Acne is a prevalent skin condition, can have significant economic and psychological effects on those affected, making accurate grading essential for effective treatment. In this study, we introduced a new grading ...
Anam Mumtaz, 01-247231-004(Computer Sciences, 2025)
Cybersecurity threats have become more developed and are increasing with the growing adoption of IoT devices. So it is necessary to develop the effective Intrusion Detection Systems (IDS). This research focuses on designing ...
Furqan Aziz Qureshi, 01-247231-006(Computer Sciences, 2025)
In the age of increasing cyber attacks, strong network security is an ongoing challenge. This research uses the UNSW-NB15 dataset to create and test advanced machine learning methods for the efficient classification and ...
The development of quantum computers is a serious threat to traditional cryptography methods that use well-known algorithms like RSA and ECC. These algorithms are secure from classical computers, but they rely on mathematical ...