The use of immersive technologies in education has transformed the way complicated technical concepts are taught and understood. Immersive Virtual Reality (IVR), in particular, promotes interactive and experiential learning, ...
The adoption of Machine Learning into digital platforms is rapidly accelerating progress in many areas, and making it more possible than ever to create efficient and reliable automated healthcare solutions. In the recent ...
M. Umair Ul Islam, 01-249232-013(Computer Sciences, 2025)
In recent years, the rapid expansion of Virtual Learning Environments (VLEs) and online education platforms has significant ly transformed higher education, simultaneously introducing new challenges such as increased student ...
Stock markets are dynamic, stochastic, and non-linear in nature, and the price prediction of stock markets has long remained a complex problem. In recent years, deep learning has gained a lot of hype and depth, with models ...
This thesis presents a context-aware image captioning framework that bridges the gap between visual perception and natural language generation by combining deep learning with structured semantic reasoning. While conventional ...
Muhammad Bilal, 01-249232-012(Computer Sciences, 2025)
The rapid proliferation of the Internet of Things (IoT) has transformed healthcare by enabling continuous monitoring through wearable devices, yet challenges remain in achieving reliable, low-power communication persist, ...
Skin diseases pose a worthy of attention in health concern thus millions of people across various demographics. Timely and error-free diagnosis is critical for effective medical care and control but unfortunately there is ...
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 ...