Department of Computer Engineering (BUES): Recent submissions

  • Analysis of Physiological Signals for Emotion Charting 
    Amna Waheed Awan, 01-281171-005 (Computer Engineering, Bahria University Engineering School Islamabad, 2024)
    Human emotions are complex mental and physiological states that arise in response to various internal and external stimuli. Emotional health is an important part of human physical and psychological health. An emotionally ...
  • Parallel Architecture of Convolutional Neural Network for Object Classification 
    Zahra Waheed Awan, 01-281171-006 (Computer Engineering, Bahria University Engineering School Islamabad, 2023)
    Convolutional Neural Networks (CNNs) have been known for their high performance and are widely applied in many computer vision tasks including object detection and image classification. Large-scale CNNs are computationally ...
  • Predication of Judgments According to the Given Cases Using a Hybrid Approach 
    Ayesha Shah, 01-242192-002 (Computer Engineering, Bahria University Engineering School Islamabad, 2022)
    The advancement of technology has led to an increase in the number ofitems becoming digital. Nowadays, courts generate a large amount of data (unstructured data) each day, including legal data. The digitization of this ...
  • Detection of Intracranial Hemorrhage and Its Subtypes from CT Scan Images Using Multilevel Features Deep Neural Network 
    Muhammad Hamza, 01-242182-004 (Computer Engineering, Bahria University Engineering School Islamabad, 2020)
    Intracranial hemorrhage is a challenging diagnosis in medical emergencies, in which medical practitioners need quick decision to provide best medical facilities to patient. BuL. in practice accurate diagnosis is a time ...
  • A Deep Learning Approach for Prediction of Epileptic Seizures Using EEG Signals 
    SYED MUHAMMAD USMAN, 01-281182-002 (Computer Engineering, Bahria University Engineering School Islamabad, 2021)
    Epilepsy is a brain disorder in which a patient undergoes frequent seizures. Around 30% of patients affected with epilepsy cannot be treated with medicines/surgical procedures. However, abnormal activity, known as ...
  • Performance Evaluation of Machine Learning Based Channel Equalization Techniques 
    NOSHABA TARIQ, 01-242182-007 (Computer Engineering, Bahria University Engineering School Islamabad, 2020)
    Wireless communication systems are evolving with the passage of time and resulted in the advanced communication systems such as mobile and Adhoc communication systems, sensor networks etc. Two fundamental parameters ...
  • IMPROVED ZONE BASED DIVISIONAL HIERARCHICAL ROUTING PROTOCOL FOR WIRELESS SENSOR NETWORKS 
    MUHAMMAD TAMOOR IQBAL, 01-242172-005 (Computer Engineering, Bahria University Engineering School Islamabad, 2020)
    WSNs consists of spatially distributed set of autonomous nodes which are extensively used in surveillance and monitoring purpose. WSNs has limited battery power and limited resources and this battery power cannot be ...
  • LOW LATENCY MONTGOMERY MULTIPLIER FOR CRYPTOGRAPHIC APPLICATIONS 
    MUHAMMAD HUZAIFA, 01-242181-003 (Computer Engineering, Bahria University Engineering School Islamabad, 2020)
    In this modern era, protection of data is very important, to overcome these circumstances we can deploy different types of cryptographic algorithm such as VPNs, SSL and IPsec for securing our data from malicious attacks ...
  • Hybrid Clustering Shortest Path Routing Protocol (HCSPRP) for WSN 
    IFTIKHAR AHMAD, 01-242171-007 (Computer Engineering, Bahria University Engineering School Islamabad, 2020)
    Energy efficiency and stabilizing the network lifetime is one of the biggest priorities in a wireless sensor network. The life cycle of the sensor node mainly relies on limited batteries due to its tiny size. To exchange ...
  • Improving Energy and Transmission Control of Heterogeneous Wireless Sensor Network by using Fog Node 
    Naseer Amin, 01-242172-006 (Computer Engineering, Bahria University Engineering School Islamabad, 2020)
    The internet of things (IoT) is the emerging technology which calibrates with other technology that will benefit the end-user. The IoT-based Wireless sensor networking and their application are used would wide but WSN ...
  • A DEEP LEARNING APPROACH FOR COW UDDER DETECTION 
    ARIF ZAMAN, 01-242172-008 (Computer Engineering, Bahria University Engineering School Islamabad, 2020)
    Image recognition with deep learning focuses on identifying one or more specific objects, class or feature in a specified image or video frame. Deep learning has received a lot of attention recently and is yielding ...
  • Fake News Detection Using Deep Learning 
    Rafi Ullah Khan, 01-242182-008 (Computer Engineering, Bahria University Engineering School Islamabad, 2021)
    Classification of fake news content is one of the challenging problems of Natural Language Processing (NLP). In classification of fake news detection, the classes of true and fake news are predefined in which the news ...
  • Image Forgery Detection Using Natural Scene Statistics 
    Ali Ahsan, 01-242182-001 (Computer Engineering, Bahria University Engineering School Islamabad, 2021)
    A copy-move image forgery is the most common type of image tampering. It can be done by copying a part of an image and paste on another part of the same image. Therefore, it can be one of the challenging tasks to find ...
  • Aerial Imagery Pile Burn Detection using Deep Learning 
    Hoor Ul Ain Tahir, 01-242202-003 (Computer Engineering, Bahria University Engineering School Islamabad, 2022)
    Wildfires are one of the costliest and deadliest natural disasters around the globe, affecting millions of acres of forest resources and threatening the lives of human and animals. Thousands of forest fires across the ...
  • Weapon Detection System for Surveillance and Security 
    Abdullah Waqar, 01-242202-001 (Computer Engineering, Bahria University Engineering School Islamabad, 2022)
    Weapons are a critical and serious topic and has become a severe threat to current security needs. People who bring firearms into airlines, schools, and other secure locations pose a threat to public safety. In certain ...
  • Classification of EEG Signals for Neuromarketing applications 
    Syed Mohsin Ali Shah, 01-242192-008 (Computer Engineering, Bahria University Engineering School Islamabad, 2022)
    Every year, more than 400 billion dollars is spent on marketing campaigns. It is a common practice to promote diverse customer goods through advertising campaigns in order to boost revenues and consumer awareness. The ...
  • Text mining (NLP) Abstractive text summarization using deep sequence models (T-0399) (MFN 8758) 
    Engr. Muhammad Irfan, 01-242182-005 (Electrical Engineering, Bahria University Engineering School Islamabad, 2021)
    The reading of the long text is time consuming and sometimes understanding the context becomes difficult. Summaries are important specifically when we need to save our time and to understand the actual context of a long ...
  • Hardware programming of feed forward neural connectionist network (T-0398) (MFN 8757) 
    Syed Shabbar Altaf, 01-242182-010 (Electrical Engineering, Bahria University Engineering School Islamabad, 2021)
    This thesis deals with a top-down design methodology of a connectionist neural Network-based upon parametric Verilog HDL description. To come off early in the design process, a high regular architecture was achieved. Then, ...
  • Energy efficient node deployment strategy in heterogeneous Wireless sensor networks (T-0397) (MFN8756) 
    Ali Arslan, 01-242172-001 (Electrical Engineering, Bahria University Engineering School Islamabad, 2021)
    Energy efficiency and stabilizing the network lifetime is one of the biggest priorities in a wireless sensor network. The life cycle of the sensor node mainly relies unlimited batteries due to its tiny size. To exchange ...
  • Optical character recognition for printed Urdu nastaliq font (T-0010) (Old 8755) 
    Israr Uddin, 01-281121-005 (Bahria University Islamabad Campus, 2019)
    Optical Character Recognition (OCR) is one of the most investigated pattern classification problems that has deceived remarkable research attention for more than half a century. From the simplest systems recognizing isolated ...

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