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Welcome to the Bahria University DSpace digital repository. DSpace is a digital service that collects, preserves, and distributes digital material. Repositories are important tools for preserving an organization's legacy; they facilitate digital preservation and scholarly communication.

Bahria University Libraries: Recent submissions

  • 03-275222-020, Motasem Mirza (2025-03-01)
    Emotional Intelligence (EI) plays an essential role in an individual‘s academic achievement, mental health, and emotional stability. The sociocultural context of Pakistan has created a need for effective Emotional Intelligence ...
  • 03-275231-032, ZAINAB UMAR (2025-04-09)
    Abstract The study focuses on how the social media use effect on the mental health of pregnant women. The current study examined the extent and nature of social media usage amongst pregnant females, identified particular ...
  • 03-275231-020, Rafay Ali (2025-03-01)
    Abstract The rapid increase in the global aging population has raised concerns about maintaining well-being in older adults. Successful aging, which encompasses physical health, cognitive function, and emotional stability, ...
  • 03-275231-005, AYESHA JAVED (2025-03-01)
    Abstract The present study was conducted to observe cognitive emotional regulation and relationship satisfaction among woman in long term marital relationship the moderating role of resilience. A cross-sectional research ...
  • 03-398231-002, Ayesha Rukhab (2024-09-01)
    ABSTRACT In this digital era, IT industry of a country plays a vital role in its development. This study aims at analyzing how employing Agile Practices affects the success of the project in the agile-centric IT ...
  • 03-398231-003, Bilal Suhail Memon (2024-09-01)
    ABSTRACT The construction industry plays a pivotal role in Pakistan's economic development, driving infrastructural progress and creating job opportunities. However, the industry faces challenges in adopting sustainable ...
  • Aina Shireen, 01-132212-005; Kamal Hussain Shah, 01-132212-020; Muhammad Sohail, 01-132212-029 (Computer Engineering, Bahria University Engineering School Islamabad, 2025)
    The growing interest in monitoring cognitive workload has sped up the research in intelligent systems that utilize physiological signals. Mental workload (MWL), if unmanaged, can degrade human performance in safety-critical ...
  • Arooj Yousaf, 01-132212-010; Hasnain Ayaz, 01-132212-016; Muhammad Hassan Aamir, 01-132212-026 (Computer Engineering, Bahria University Engineering School Islamabad, 2025)
    This thesis focuses on 3D object reconstruction using photogrammetry combined with artificial intelligence (AI), a rapidly evolving field with uses in the gaming industry, e-commerce, digital archiving, interior designing, ...
  • Bahria University Head Office (The News Islamabad, 2025-09-14)
  • Ali Uzair, 01-132212-006; Jawad Ali Mirza, 01-132212-019; Muhammad Masharib Khan, 01-132212-028 (Computer Engineering, Bahria University Engineering School Islamabad, 2025)
    Mobility limitations present significant challenges for individuals with physical disabilities, particularly in low- and middle-income countries where access to advanced assistive devices is restricted by high costs and ...
  • Adan Irshad, 01-132212-046; Hussain Ali Syed, 01-132212-057; Talha Shahzad, 01-132212-059 (Computer Engineering, Bahria University Engineering School Islamabad, 2025)
    Because of the intricate nature of tumor formations and their neurological effects, brain tumor identification and segmentation continue to be significant issues in medical imaging. With an AlexNet-based CNN for classification ...
  • Hina Arif, 01-132212-043; Sana Arif, 01-132212-044 (Computer Engineering, Bahria University Engineering School Islamabad, 2025)
    Diabetes, one of the most prevalent metabolic disorders worldwide, requires early and accurate detection for effective management and prevention of complications. This study focuses on addressing the challenges of timely ...
  • Alishba Riaz, 01-132212-007; Arman Iftikhar, 01-132212-009; Muhammad Taimoor, 01-132212-031 (Computer Engineering, Bahria University Engineering School Islamabad, 2025)
    Early fire detection stays vital because forest fires threaten natural ecosystems as well as local wildlife population and nearby residential areas. Fire detection methods that depend on manual patrolling and satellite ...
  • Abdul Manan, 01-132212-001; Muhammad Abdullah, 01-132212-023; Haris Ajmal, 01-132212-048 (Computer Engineering, Bahria University Engineering School Islamabad, 2025)
    Traffic congestion is a critical challenge in urban environments, particularly in densely populated regions like Pakistan, where static, time-based traffic signals fail to adapt to real-time traffic conditions. These ...
  • Ahmad Faraz, 01-132212-004; Sadeed Ullah, 01-132212-038 (Computer Engineering, Bahria University Engineering School Islamabad, 2025)
    An increasing number of individuals face mental health problems, including anxiety, stress, and depression, because academic, social, and personal demands keep rising. The conventional mental health services encounter ...
  • Abdullah Saeed, 01-132212-003; Syeda Sania Zehra, 01-132212-040; Anum Noor, 01-132212-047 (Computer Engineering, Bahria University Engineering School Islamabad, 2025)
    Urban mobility faces growing challenges due to increasing traffic congestion, sedentary lifestyles, air pollution, and overreliance on private vehicles. These issues degrade the quality of life, harm public health, and ...
  • Muhammad Awais, 01-132212-024; Mujtaba Ahmed, 01-132212-034; Muhammad Jalal Haider, 01-132212-050 (Computer Engineering, Bahria University Engineering School Islamabad, 2025)
    On a global scale there are an estimated 2.3 million new cases of breast cancer per year. For improvement of patient outcomes and increase of the survival rate, it is essential to detect early and diagnose accurately. ...
  • Haiqa Aurangzeb, 01-132212-015; Ayesha Nadeem, 01-132212-042 (Computer Engineering, Bahria University Engineering School Islamabad, 2025)
    The project presented in this final year aims to develop an autonomous solar panel maintenance system that will make the process efficient and reliable through the integration of drone technology, deep learning, and advanced ...