Bahria University Libraries: Recent submissions

  • 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 ...
  • COMPATO 
    03-134162-081, EHTASHAM NAEEM QADRI; 03-134162-068, AWAIS BASHIR (2020-07-20)
    COMPATO is a Recommender Systems based on software tools and techniques providing suggestions for trips according to the requirements of the user. In this project, we will recommend our users about the best trip deals ...
  • A Decision Support System To Recommend Hotel 
    03-134162-031, MUHAMMAD BIN RIZWAN; 03-134162-032, MUHAMMAD DANISH HUSSAIN (2020-07-20)
    The system is a web-based application. We developed a recommender system and the specific domain in which have worked is hotel recommender system. Hotel recommender system will perform functionality based on profile ...
  • Facial Emotion Detection 
    03-134162-083, IRHAN KHALID SALEEM (2020-07-20)
    Facial emotion detection is a feasible project for retrieving information about human emotions through Artificial Intelligence and Machine Learning. The algorithm takes facial images as input, tracks emotions and gives ...
  • FacePass Security System 
    03-134162-051, SAYYAM RAZZAQ; 03-134162-052, SYED ALI HASSAN (2020-07-20)
    Facial Recognition is becoming the go to security method, be it small devices such as mobile phones, or surveillance systems. The proposed project is to create a facial recognition system that can identify authorized ...