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MS: Recent submissions

Now showing items 241-260 of 375

A Forensic Framework for Webmail Threat Monitoring and Log Analysis

Malik, Abdul Saboor (SEECS, National University of Sciences & Technology Islamabad, 2022)

Today, webmail is being deployed in many organizations for all kinds of normal and important communications. Several cyber threats involving phishing, malicious insider, and ransomware attacks are primarily targeted through ...
Transfer Learning Autoencoder Neural Networks For Anomaly Detection In Malware Infected IoT Devices

Shafiq, Unsub (SEECS, National University of Sciences & Technology Islamabad, 2022)

Distributed Denial of Service (DDoS) attacks have persisted against defensive measures with their sheer capability of obscurity and the simplicity of the attack vectors that they exploit, i.e exhausting the victim’s ...
HistoSeg : Quick attention with multi-loss function for multi-structure segmentation in digital histology images

Wazir, Saad (SEECS, National University of Sciences & Technology Islamabad, 2022)

Medial image segmentation assists in computer-aided diagnosis, surgeries, and treatment. Digitize tissue slide images are used to analyze and segment glands, nuclei, and other biomarkers which are further used in computer ...
Parameter based Threat Detection in Network Datasets using Machine Learning algorithms

Luqman, Muhammad (SEECS, National University of Sciences & Technology Islamabad, 2022)

Intrusions are consistent torment that networks have to encounter. To get rid of these malicious attacks a variety of approaches have been developed, the use of machine learning and deep learning is considered the most ...
Automated Anonymization of Court Room Records

Daud, Marium (SEECS, National University of Sciences & Technology Islamabad, 2021)

Thousands of cases are registered every year in the Supreme Court and High Courts of Pakistan, and almost all the judgments of these cases are available on their respective websites in the form of PDF documents. Since ...
CLOUD: Clustering Large Online Unrecognized Detections

Ehsan ul Haq, Muhammad (SEECS, National University of Sciences & Technology Islamabad, 2022)

Supervised techniques for recognizing detected objects (faces, vehicles, animals, birds etc) are inherently constrained (they can only recognize objects they are trained to recognize) especially in real-time or live ...
iSMILE: SPEECH RECOGNITION SOLUTION FOR CHILDREN WITH LEARNING DISABILITIES

Zulfiauar, M. Awais Zulfiauar (SEECS, National University of Sciences & Technology, 2017)
A Step-One Visual Learning App for children leveraging Knowledge-Aware Visual Question Answering Framework

Jamshed, Ahmed (SEECS, NUST, 2022)

Visual Question Answering (VQA) is a complex cognitive multimodal inference problem in which the latest techniques from the fields of NLP (Natural Language Processing) and CV (Computer Visions) are merged with the goal ...
Information Extraction From Court Room Records

Nida Ahmed (SEECS, National University of Science and Technology, Islamabad., 2021)

The legal domain remains among various areas that have many opportuni ties when it comes to improvement and innovation through computational advancements. In Pakistan, in the recent past, the courts have made reported judgments ...
Seismic data evaluation using machine learning algorithms

Raisa Suleman (SEECS, National University of Science and Technology, Islamabad., 2021)

Earthquakes are one of the devastating natural disasters which cause significant damage to property due to their destructive nature. Seismic stations around the globe record data continuously to make it available for ...
Classification and Segmentation of 3d Point Clouds based on deep learning

Rabbia Hassan (SEECS, National University of Science and Technology, Islamabad., 2022)

Analysis of point clouds through deep convolutional neural networks is an active area of research due to their massive real-world applications including autonomous driving, indoor navigation, robotics, virtual/augmented ...
Microservice-Oriented Distributed framework for resource intensive workloads

Muhammad Ehtisham Mubarik (SEECS, National University of Science and Technology, Islamabad., 2021)

Fixed allocation of GPU resources to virtual machines increases idle time in utilization of GPU resources when the workloads are being executed on a different machine and increases the cost of hardware as it requires ...
Text Summarization from Judicial Records using Deep Neural Machines

Ayesha Sarwar (SEECS, National University of Science & Technology, Islamabad., 2021)

The judiciary is the branch of the government whose task is the administration of justice. The courts are generating a large amount of data as legal proceedings. The legal documents are in the form of cases and their ...
Deep Emotion Recognition by Analyzing Inertial Data of Human Gait

Hamza Ali Imran (SEECS, National University of Science and Technology, Islamabad., 2018)

The Internet of Things (IoT) anticipates a future in which commonplace products will be incorporated with sensors. Sensors can detect both living environs and the human body, allowing for easier contact with the physical ...
Energy- aware Real-Time Route Prediction Framework for Embedded Systems

Ayesha Zahir (SEECS, National University of Sciences and Technology, Islamabad, 2018)

Internet of Things (IOT) is becoming an important part of our lives as it integrates computing devices embedded in everyday objects and Vehicle of Things is a major part of IOT. This research is focused on trac-aware ...
Discriminative Splitting of LSTM-RNN Deep Neural Networks for Robust Speech Recognition

Muhammad Irfan (SEECS, National University of Sciences and Technology, Islamabad, 2018)

DNN and RNN are becoming popular to for solving complex problems such as speech recognition, machine translation, natural language processing and image recognition. One major aspect of RNNs are their ability to learn ...
Extraction and Analysis of RPE later from OCT Images for Detection of Age Related Macular Degeneration

Muhammad Majid Sharif (SEECS, National University of Sciences and Technology, Islamabad, 2018)

Age-related Macular Degeneration (AMD) is an eye disease which affects elderly people. Cholesterol deposits in central part of retina, known as macula, damages the photoreceptors present in a particular area of eye. AMD ...
Request Identification on Twitter during Mass Convergence

Irfanullah (SEECS, National University of Sciences and Technology, Islamabad, 2018)

Catastrophic events create uncertain environments in which it becomes very difficult to locate affected people and provide them aids. People turn to Twitter during disasters for requesting help/providing relief to others ...
Evaluating Collaboration among the Internet of Things through Agent based Modeling and Simulation Approach

Hafiz Tariq Ghulam Hussain (SEECS, National University of Sciences and Technology, Islamabad, 2018)

The “Internet of Things (IOT)” is a network of physical objects, devices, vehicles, buildings, and other things embedded with electronics, software, sensors and network connectivity. IOT allows objects to be sensed and ...
A Framework to Combine Multi-Object Video Segmentation and Tracking

Sehr Nadeem (SEECS, National University of Sciences and Technology, Islamabad, 2017)

Our framework consists of a multi-object tracking module and a video segmentation mod- ule, which rstly run on our dataset independently. The tracking module implements higher-order constraints on the smoothness of the ...

Now showing items 241-260 of 375

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