Bahria University Libraries: Recent submissions

  • Mechanical And Petrographic Characteristics Of Kamila Amphibolite, District Swat, Khyber Pakhtunkhwa, Pakistan 
    Bahadur Ali, 01-262222-013 (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2024)
    The current research has focused on the evaluation of mechanical and petrographic traits of Kamila Amphibolite, Swat district, Khyber Pakhtunkhwa, Pakistan. To access the mechanical properties, this study involves Ultra ...
  • Mechanical Characteristics Of Aggregate Resources From Swat, Khyber Pakhtunkhwa, Pakistan 
    Qaisar Ali, 01-222226-017 (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2024)
    Aggregate resources act as a backbone for the infrastructure and serve as an essential component in the concrete, asphalt and have multiple construction applications. Their availability and low cost make them crucial for ...
  • Drinking Water Quality Of Selected Sectors Of Islamabad 
    Abdul Jirde Ahmed (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2024)
    The present study was undertaken to know the quality of drinking water in Islamabad, by analyzing some physicochemical, biological, and heavy metal parameters of drinking water sources. The range of pH during the present ...
  • Integrated 2D Seismic Structural Interpretation, Attribute Analysis, And Subsurface Restoration Of Talagang Area, Upper Indus Basin, Pakistan 
    Malik Ubaid Ur Rehman Noon; Zeeshan Karim (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2024)
    Our Study area is in the Talagang District of the Potwar Plateau in the Upper Indus Basin in Pakistan, near the western Salt Range, it holds significant importance as a major hydrocarbon-producing District. It is marked ...
  • 2D Seismic Interpretation And Petrophysical Analysis Of Dina Oil Field, Upper Indus Basin, Pakistan 
    Saad Bin Nazir; Farhan Abdul Munim (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2024)
    This study presents a thorough analysis of seismic data and petrophysical properties of the Shahab-01A well in the Dina area of the Upper Indus Basin, focusing on the Chorgali Formation and Sakesar Limestone reservoirs. ...
  • 2D Seismic Data Interpretation And Petrophysical Analysis Of Kal Oil Field, Pothwar Basin, Pakistan 
    Rohail Ahmed Khan; Dilawar Abbas (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2024)
    Eastern Pothwar basin hosts some of the most complex structural geometries which make hydrocarbon exploration problematic and necessitate to carry out subsurface structural analysis more carefully and accurately. The present ...
  • Automated Lungs Disease Detection Using Hybrid Deep Learning Technique 
    Kashif Shabbir, 01-132202-049; Muhammad Sanwal Noor, 01-132202-031 (Computer Engineering, Bahria University Engineering School Islamabad, 2024)
    This paper presents a current state of the art approach to the early detection and classification of lung diseases using medical images based on the use of deep learning models – Convolutional Neural Networks (CNNs). ...
  • Artificial Intelligence Based Baggage Scanner System 
    Zubair Ahmed, 01-132202-045; Ayesha Noor, 01-132202-008 (Computer Engineering, Bahria University Engineering School Islamabad, 2024)
    The primary objective of an artifcial intelligence-based baggage scanning system is to enhance safety and security in complex environments by effectively detecting contraband items, a crucial measure for public safety. The ...
  • Real-Time Driving Assistant using Deep Learning & Object Tracking 
    Muhammad Mahed Ahsan, 01-132202-051; Raffeain Khalil, 01-132202-037 (Computer Engineering, Bahria University Engineering School Islamabad, 2024)
    In this final year design project, we present a real-time driving assistant system that leverages deep learning and object tracking algorithms to provide assistance to the driver of the host vehicle and make our roads ...
  • Smart Security System Based On Intrusion And Anomaly Detection 
    Hamza Ullah Khan, 01-132192-012; Muhammad Maaz, 01-132202-028; Ammar Ali Khan, 01-132202-005 (Computer Engineering, Bahria University Engineering School Islamabad, 2024)
    The prevalence of security threats necessitates innovative solutions for effective surveillance and threat detection. In response, we introduce our final year project, the ’Smart Security System Based on Intrusion and Anomaly ...
  • AI-Driven Strategies For Detecting Fake News 
    Muhammad Usman Khan, 01-132202-033; Muhammad Uzair Zia, 01-132202-034 (Computer Engineering, Bahria University Engineering School Islamabad, 2024)
    The propagation of disinformation online has become a major factor in undermining the trustworthiness of modern data circulation processes. The main purpose of this fnal year project is to fll this gap by creating such a ...
  • ContainIt-Smart Container 
    03-134162-033, HAMZA BIN AKHTAR; 03-134162-037, HUSNAIN (2020-07-20)
    ContainIt is a Container management system. It’s a smart container that can weight its content. It can also check conditions of the container and keep its records. ContainIt is a web-based system to revolutionize the ...
  • Traino-Training Aide 
    03-134162-024, Marwa Khan; 03-134162-022, Maida Sarfraz (2020-07-20)
    Traino-Training Aide is a web-based innovative training management solution that is implemented to facilitate trainees and trainers. Traino is based on simplicity and ease of-use. It helps trainers to display their ...
  • Tweet Sense: Decoding Sentiments In Tweets Through NLP and Deep Learning 
    Humaima Anwar, 01-132202-013; Abdul Rehman Akram, 01-132202-002 (Computer Engineering, Bahria University Engineering School Islamabad, 2024)
    This work aims to classify tweets into multiple topics and predict emotions and sentiments from tweets by using techniques like Natural Language Processing (NLP), Transformers, Deep Learning, and Machine Learning based on ...
  • Launchpad 
    03-134162-013, AYESHA ANJUM; 03-134162-014, DUR-E-NAYAB SAJID (2020-07-20)
    The objective of this project is to link up start up idea owners and investors together. Start-ups usually confront many issues in the beginning of business establishment. One of the major concerns is finding the ...
  • Face Recognition 
    03-134162-079, ABDULLAH TAHIR (2020-07-20)
    Face Recognition identifies a person from an image or from a video. And verifies a person. We use face recognition these days because it is cheaper than Fingerprint scanner. It is also the most advanced technology. It ...
  • Sign2text: Real-time Sign Language Translator Using Deep Learning 
    M. Aayan Khattak, 01-132202-001; Ahmed Raza Kalair, 01-132202-046; Talha Iqbal Butt, 01-132202-052 (Computer Engineering, Bahria University Engineering School Islamabad, 2024)
    This thesis examines the Sign language translator, one of the most useful computer vision and action recognition applications. Previous sign language translators often do not offer action gesture translation, lack stability, ...
  • Real Time Object Detection 
    03-134162-055, TURRAB AKBAR SIAL; 03-134162-061, WALEED HAMZA (2020-07-20)
    REAL TIME OBJECT DETECTION is a desktop based application that will detect multiple objects in an image and draw the bounding boxes around them. It comes under the field of computer vision. It will detect the activity ...
  • Video Classification 
    03-134152-021, HAFIZ HASHIR; 03-134162-078, USAMA SARFRAZ (2020-07-20)
    Video classification is a project in which we work on videos. As videos are a group of images in a specific order. In this project we recognize pictures action perform in a video. This helps to minimize the human effort ...
  • Personality Assessment Through Interactive Engagement 
    Syed Furquan Haider Zaidi, 01-132202-041; Syeda Fatima Gilani, 01-132202-043 (Computer Engineering, Bahria University Engineering School Islamabad, 2024)
    Personality assessment has traditionally relied on questionnaires, surveys, and in-person interviews, which are often tedious and stressful for individuals seeking self-evaluation. The project aims to revolutionize personality ...