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Thesis/Dissertation Repository Engineering School Islamabad: Recent submissions

Now showing items 621-640 of 1150

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 ...
ANALYSIS OF NOVEL MACHINE LEARNING MODELS FOR DIAGNOSIS OF COVID-19 THROUGH RADIOGRAPHY IMAGES

OSAMA ALI, 01-241201-016 (Software Engineering, Bahria University Engineering School Islamabad, 2022)

COVID-19 had a devastating effect on human lives. Not only it infected millions of people and took precious lives but it also became quite a task to control its rising trajectory. Different researchers found that radiography ...
A Proposed Model of Migrating from Monolithic towards Microservices

Maryam Munawar, 01-241191-010 (Software Engineering, Bahria University Engineering School Islamabad, 2022)

Organizations moving from legacy systems to microservices due to the countless benefits of microservices. In Monolithic systems there are many dependencies like if you change one functionality of a system then it affects ...
Forecasting IoT Based System Faults: A Machine Learning Way To Predictive Maintenance

Malik Abdul Sami, 01-241201-008 (Software Engineering, Bahria University Engineering School Islamabad, 2022)

Smart IoT systems develop with the combination of cloud and IoT-based solutions. Such systems assist by automating manual systems of everyday life and providing comfort, security, privacy, and monitoring of intelligent ...
Android Malware Detection Using Deep Learning Techniques

Muhammad Zubair Aslam, 01-241201-019 (Software Engineering, Bahria University Engineering School Islamabad, 2022)

Nowadays, we see a good number of mobile phone users using Android applications, and hence we witness more and more android applications being developed. As having the apps makes life easier, it also opens the door for ...
WEB APPLICATION VULNERABILITY ANALYSIS USING MACHINE LEARNING

Marrium Mehmood, 01-241201-009 (Software Engineering, Bahria University Engineering School Islamabad, 2022)

A substantial increase in web-based applications has changed business perspectives and web applications are becoming almost essential to every business for online transactions. This has paved the way for cyber-attacks ...
Real-Estate Values Prediction using Machine Learning Techniques

Muhammad Kashif Taj, 01-241201-012 (Software Engineering, Bahria University Engineering School Islamabad, 2022)

Real-Estate is one of the important businesses in Pakistan which helps the country to boost its economy. The real-estate business is playing a vital role in economic growth and stability in economic conditions worldwide. ...
ASSESSMENT OF PHYSICAL AND INORGANIC SELECTED CONTAMINANTS IN DRINKING WATER QUALITY OF BAHRIA TOWN, RAWALPINDI, PAKISTAN

MAHNOOR BALOCH (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2022)

This study was conducted to determine the water quality of Bahria Town Rawalpindi filtration plants installed in different locations and sources (filtration plants and tube wells). The total 50 samples were collected to ...
PREPARATION OF ACTIVATED BIOCHAR AND ITS USE IN ELIMINATION OF CHROMIUM FROM SELF-CONTAMINATED AQUEOUS SOLUTION

SYEDA HIJAB ZEHRA RIZVI, 01-262202-026 (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2022)

Unprocessed industrial chemicals dumping in lakes and rivers possess a severe environmental risk through metals pollution within the food chain, especially Chromium. As Chromium is carcinogenic in nature, but it is present ...
MAPPING AGRICULTURE AND METEOROLOGICAL DROUGHTS USING MODIS AND CHIRPS SATELLITE DATA; A CASE STUDY OF RAINFED POTOHAR REGION, PAKISTAN

Bibi Aftab, 01-262192-003 (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2022)

The Potohar region lies in a semi-arid region of Pakistan, which often experiences dry weather conditions. The rainfall patterns are extremely erratic on a spatio-temporal scale during the Rabi cropping season. This research ...
LANDSCAPE TRANSFORMATION & VEGETATION RANGE SHIFT IN THE ALPINE ECOSYSTEM UNDER THE PREVAILING CLIMATE-CHANGING SCENARIO IN THE HKH REGION OF PAKISTAN

KAINAT NAFEES, 01-262202-036 (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2022)

Mountains are highly subject to LULC changes driven by human induced factors, and altered the climate of the highland ecosystem. Climate changes prompt major alteration in the highland ecosystem. The rangeland shift ...
PHYSICOCHEMICAL, BIOLOGICAL AND HEAVY METALS ANALYSIS OF DRINKING WATER OF TENCH BHATA, RAWALPINDI DISTRICT, PAKISTAN

AMNA BAKHTIAR (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2022)

Pakistan is ranked 80th out of 122 countries in terms of drinking water quality. Coliforms, harmful metals, and pesticides are found in drinking water sources around the country, including surface and groundwater. Various ...
FINANCIAL EVALUATION OF CIRCULAR PLASTIC ECONOMY WITHIN INFORMAL SECTOR, FOR DOMESTIC WASTE, RAWALPINDI

AMBER NAZ, 01-262202-017 (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2022)

In under developing countries like Pakistan where there is irregular infrastructure along with the problem of rapid urbanization, it boosts the waste generation rates, almost 1/3 population of our country is urbanized. ...
SOIL AND IRRIGATION WATER QUALITY ASSESSMENT IN AGRICULTURAL FIELDS IN VICINITY OF KHANPUR DAM, KHYBER PAKHTUNKHWA

AIMAN ALI, 01-262202-015 (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2022)

The particular study aims to assess the soil and irrigation water quality in agricultural fields near the vicinity of Khanpur Dam. The (irrigation water, soil) samples were collected from the selected area of sampling ...
TIME-LAPSE SALINITY INTRUSION STUDIES IN DISTRICT KARAK USING REMOTE SENSING (LANDSAT DATA 1990-2020) AND ELECTRICAL RESISTIVITY SURVEYS

SHAKIR ULLAH KHATTAK, 01-262202-011 (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2022)

Data of 19 VES points are collected through Electrical Resistivity Survey. The apparent resistivity values which are taken from these points are then used to find true values. Interpretation of the electrical resistivity ...
A PROPOSED INTERNET OF THINGS ENABLE SMART WASTE BIN MANAGEMENT SYSTEM AND EFFICIENT ROUTE SELECTION

AISHA KHAN, 01-262202-016 (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2022)

The field of Solid Waste is one of the significant areas of research for citizens, cities, and government stakeholders. Most of the responsibility of waste management is on the municipal sector for collection, reallocation, ...
EXPOSURE TO HEAVY METALS AND CONSEQUENT HEALTH RISKS AMONG E-WASTE RECYCLERS IN RAWALPINDI, PAKISTAN

RABBIA SHAKEEL, 01-262202-020 (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2022)

Studies have shown that hair and nail samples can be used as a marker to assess occupational exposure to the heavy metals. The objective of this study was to estimate the levels of heavy metals: Lead (Pb), Nickel (Ni), ...
OCCUPATIONAL EXPOSURE ASSESSMENT OF HEAVY METALS AMONG CONSTRUCTION WORKERS AT RAWALPINDI, PAKISTAN

SHAMA IBRAHIM, 01-262202-023 (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2022)

Construction work is one of the primary drivers of development and economic activity in Pakistan and people are focusing more on this sector. A variety of activities are performed at the construction site such as cement ...

Now showing items 621-640 of 1150

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