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Proactive Spectrum Sharing Incentive For Physical Layer Security Enhancement Using Antenna Selection and Power Allocation Schemes

Malik, Saneea (RCMS NUST, 2018-07-05)

Wireless communication has gained much importance over the past few decades. Due to its increasing demand in industrial and military applications, the need to secure wireless communication from un-authorized users has ...

Blockchain Application for Verification of Passports

Saeedi, Muhammad Ahmed (RCMS NUST, 2018-09-05)

Passports are essential traveling documents and are used to verify the credentials of passport holder and verify the authenticity of visas. Pakistan and many other countries have started the use of Machine Readable ...

Tradespace Exploration for Decision Making in Conceptual Design of Complex Systems

MULKANA, SUNDAS RAFAT (RCMS NUST, 2018-08-05)

Industries have adopted the practice of using Tradespace Exploration (TE) to investigate cost and performance of various designs for a product. Due to added complexity new tools are required beyond conventional System ...

Deep Reinforcement Learning based Optimal Path Planning of Aerial Vehicles

Hameed, Rana Umair (RCMS NUST, 2020-09-01)

Trajectory optimization to reduce the radar exposure of aerial vehicles is an active area of research. Revisiting the radar avoidance tactics through intelligent algorithms may improve the existing stealth paradigm. This ...

Analyzing Students’ Experience of Online Education during COVID-19: A Case Study of NUST, Pakistan

Safi Ullah Khan, Muhammad (SINES-NUST., 2023-07-07)

The COVID-19 outbreak has had a massive global impact, leading to a shift towards embracing a virtual lifestyle. Pakistan, being a developing country, also experienced the effects of the COVID-19 outbreak. As a result, ...

Design, Integration, and Trajectory Analysis of Ramjet-Powered Projectile

Hassan, Syed Mustafa (SINES-NUST., 2023-05-15)

This thesis presents the design, integration, and trajectory generation of a ramjet-powered 155mm projectile. The existing 155mm legacy shell is modified by increasing its length and adding rear fins for extra lift and ...

Performance comparison of Machine Learning approaches for detection of ships in satellite imagery

Ali, Muhammad (SINES NUST., 2023-06-14)

Remote satellite sensing has a vast potential for Maritime Domain Awareness (MDA). The challenges at sea are unlimited, however, a few important aspects include security, safety, environment, weather and disaster ...

Content Based Recommender System For Online Education

Bashir, Farhan (SINES NUST., 2023-03-06)

Recommendation systems are now commonly used in e-learning to suggest resources and learning materials to learners and improve teaching and learning quality. To this end, predicting learners' needs and recommending ...

Using Machine Learning Techniques to Develop an Effective Weather Prediction Model from Ground-Based Cloud Images

Zulfiqar, Noran (SINES-NUST., 2023-06-07)

The measurement, analysis and forecasting of weather has several use cases in climate modelling, agriculture, and farming. Every year, millions of lives are affected by heavy rains and storms. Therefore, it is important ...

Implementing Artificial Intelligence Algorithms To Develop Recommender System For Personalized Education

Sultan, Haseeb (SINES NUST., 2023-04-06)

Recommender systems have been widely used in various domains, including e- commerce, social media, and entertainment. In recent times, the education domain has also witnessed significant attention towards the use of ...

Analysis of vestibulo-ocular effects on motion sickness in flight simulation

Javaid, Ahmad (SINES NUST, 2022-08-29)

According to sensory conflict theory, discrepancies between visual and vestibular senses give rise to cyber sickness. This research scrutinizes whether coupling visual stimuli to inertial stimuli in a VR environment ...

BWB CONFIGURATIONS: EFFICACY OF ACTIVE FLOW CONTROL IN SUPPRESSION OF WING ROCK

Tahir, Muhammad Naveed (SINES NUST, 2022-08-12)

The aviation industry currently faces unique multi-domain challenges with a global push to reduce environmental impacts and increase efficiency. Blended Wing Body (BWB), a bio-inspired design, is the next innovation with ...

Integrated Digital Monitoring System For Efficient Analysis Of Industrial Processes

Hassan, Ahmed (SINES NUST, 2022-07-06)

The problem of developing a digital monitoring system for efficient analysis of industrial processes has been considered. According to a recent study, Pakistan based industries have very high energy losses as compare to ...

DUPLEX BASEBAND SIGNAL TRANSMISSION OVER FREE SPACE OPTICAL (FSO) LINK EMPLOYING CARRIER REUSE

Shamsi, Syed Zaheer Abbas (SINES-NUST., 2022-08-12)

With increasing IoT and a plethora of multimedia applications being used, there is an ever-increasing demand for bandwidth-intensive applications coupled with costeffectiveness. Communication networks employing optical ...

Exponential Weighting based Network Ranking for Heterogeneous Wireless Networks

Bashir, Faizan (SINES NUST, 2022-06-23)

Heterogeneous wireless networks (HWNs) provide communication related services in some specific region using multiple wireless access networks so that the users can access the networks with better quality of service (QoS). ...

Surrogate Modeling and Multi-objective Optimization of ChineForebody for Aerodynamics and Stealth characteristics

Tariq, Hassan Bin (SINES-NUST., 2022-05-12)

Chines are sharp edges or longitudinal lines designed for the cross-section of the fuselageor body. Chines in aerodynamics act as a long extension of the wing root along thefuselage. Modern aircraft have chine along its ...

Development of a cost effective simulator for small arms shooting training

Zain ul Abideen (RCMS, National University of Sciences and Technology, 2019)

Shooting simulators for firearm training are effective in improving the marksmanship of personnel in different law enforcement agencies like police, armed forces and also in shooting athletes. In order to achieve the ...

Effect of Haptics on Pilot/operator Performance During Flight Simulation

Malik, Hassam Ahmed (RCMS NUST, 2020-01-01)

The significance of training in aviation industry has been recognized since the beginning of manned flight. When we talk about training for pilots it is obvious that it has to be a flight simulation experience because ...

Few Shot Metric Learning for Remote Sensing Image Scene Classification

Talay, Muhammad Adil (RCMS NUST, 2020-08-06)

Visual recognition in aerial imagery plays an important role in a wide range of applications such as surveillance, monitoring, detection and management of natural and manmade disasters. Current advances in deep learning ...

Man-made world Image Matching over wide Baselines

Kainat, Samin (RCMS NUST, 2018-04-01)

Matching the Images, representing the same content but captured from di erent, widely separated angels, is a fundamental computer vision challenge. SIFT(Scale Invariant Feature Transform) is famous for matching images ...

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