Browsing UiS Brage by Author "Farmanbar, Mina"
Now showing items 1-20 of 20
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A Machine Learning approach for Building Segmentation using laser data
Finnesand, Erik (Master thesis, 2023)Buildings are essential for population information, city management, and policy-making. Various computer vision technologies have proven helpful in building-related scenarios, where segmentation has proven to be the most ... -
A Web Based Solution to Track Trawl Vessel Activities Over Pipelines in Norwegian Continental Shelf
Palanisamy, Anandhakumar (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06)Vessel Activities such as trawling and anchoring represent a risk to offshore marine structures such as pipelines, subsea structures, cables and platforms. Third party interference is a major contributor to the damage and ... -
A Widespread Review of Smart Grids Towards Smart Cities
Farmanbar, Mina; Parham, Kiyan; Arild, Øystein; Chunming, Rong (Journal article; Peer reviewed, 2019-11)Nowadays, the importance of energy management and optimization by means of smart devices has arisen as an important issue. On the other hand, the intelligent application of smart devices stands as a key element in establishing ... -
Analysis of Residential Household Energy Consumption Using Smart Meter Data
Nwemambu, Chibuzor Valentina (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06-15)The need to change the source of electricity generation is apparent in the effect of climate change on the environment. Asides from the source change to renewable energy, the necessity for residents to understand their ... -
Building Precision: Efficient Encoder-Decoder Networks for Remote Sensing Based on Aerial RGB and LiDAR Data
Sulaiman, Muhammad; Finnesand, Erik; Farmanbar, Mina; Belbachir, Ahmed Nabil; Rong, Chunming (Peer reviewed; Journal article, 2024-04)Precision in building delineation plays a pivotal role in population data analysis, city management, policy making, and disaster management. Leveraging computer vision technologies, particularly deep learning models for ... -
Comparative Analysis of Sampling Methods for Imbalanced Classification
Li, Rongbing; Koloszyc, Piotr (Master thesis, 2023)Assigning class labels to instances is a key component of the machine learning technique known as classification predictive modeling. While concentrating largely on balanced classification problems, which are thought to ... -
Design og implementering av et interaktivt webgrensesnitt for prognoser om energiforbruk
Havstad, Daniel; Vo, Danny; Mohr, Sindre Reidar (Bachelor thesis, 2022)Prosjektet bruker modeller for prediksjoner av strømforbruket til hushold i London. Det finnes mange algoritmer som en kan bruke i maskinlærings modeller, de vi har valgt å se nærmere på er LSTM, Perceptron, SLP, MLP, ... -
Design og implementering av et interaktivt webgrensesnitt for prognoser om energiforbruk
Havstad, Daniel; Vo, Danny; Mohr, Sindre Reidar (Bachelor thesis, 2022)Prosjektet bruker modeller for prediksjoner av strømforbruket til hushold i London. Det finnes mange algoritmer som en kan bruke i maskinlærings modeller, de vi har valgt å se nærmere på er LSTM, Perceptron, SLP, MLP, ... -
Detection of MITM using AI
Fernandez, Alistar Thomas Cyril (Master thesis, 2023)In the current digital era, there is a rising need for interconnected networks and communication systems, which raises the risk of cyberattacks, notably the Man-in-the-Middle (MitM) attack. An adversary intercepts and ... -
Early Dementia Detection in Speech Transcript using Machine Learning and LArge language Models
Freja, Shaima Freja; Hallaj, Yeganeh (Master thesis, 2024)Dementia, a prevalent neurodegenerative disorder, poses significant challenges in early detection and intervention. Timely diagnosis is crucial for providing af fected individuals and their families with the necessary ... -
Early Dementia Detection in Speech Transcripts Using Machine Learning and Large Language Models
Freja, Shaima Ahmad; Hallaj, Yeganeh (Master thesis, 2024)Dementia, a prevalent neurodegenerative disorder, poses significant challenges in early detection and intervention. Timely diagnosis is crucial for providing af- fected individuals and their families with the necessary ... -
Forecasting Bitcoin Prices by Integrating Sentiment Analysis into Machine Learning
Mellum, Jan Kristian De La O (Bachelor thesis, 2024)This study investigates the use of machine learning models to predict Bit- coin prices, specifically with the use of integrated sentiment analysis in LSTM models. The analysis utilizes historical Bitcoin price data and the ... -
Geospatial segmentation and classification
Torkamanzadeh, Sarvin (Master thesis, 2024)This thesis explores advanced techniques in geospatial segmentation and classification to enhance the extraction of building footprints from LiDAR data, a challenge showcased in the ACM SIGSPATIAL Cup 2022. Leveraging a ... -
Integrating Voice and Text-Based Features for Enhanced Dementia Prediction Using Natural Language Processing (NLP)
Byberg, Kevin; Karlsen, William (Bachelor thesis, 2024) -
Machine Learning Based Load Forecasting
Høllesli, Shiela Marie (Master thesis, 2022)Population is increasing rapidly and all the demands like electricity are also increasing. The government in England installed smart meters in order to analyze and follow better the energy consumption. Machine learning ... -
Short-Term Load Forecasting Using Smart Meter Data: A Generalization Analysis
Mehdipourpirbazari, Aida; Farmanbar, Mina; Chakravorty, Antorweep; Chunming, Rong (Peer reviewed; Journal article, 2020-04)Short-term load forecasting ensures the efficient operation of power systems besides affording continuous power supply for energy consumers. Smart meters that are capable of providing detailed information on buildings ... -
Smart Meter Based Load Forecasting for Residential Customers Using Machine Learning Algorithms
Resulaj, Redjol (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06-12)The focus of this thesis is the use of machine learning algorithms to perform next step short term load forecasting on fifty five households in Stavanger, Norway. A dataset containing electricity consumption data for more ... -
Triangulum City Dashboard: An Interactive Data Analytic Platform for Visualizing Smart City Performance
Farmanbar, Mina; Chunming, Rong (Peer reviewed; Journal article, 2020-02)Cities are becoming smarter by incorporating hardware technology, software systems, and network infrastructure that provide Information Technology (IT) systems with real-time awareness of the real world. What makes a “smart ... -
Unlocking Household Electricity Consumption in Pakistan
Amber, Khuram Pervez; Ahmad, Rizwan; Farmanbar, Mina; Bashir, Muhammad Anser; Mehmood, Sajid; Khan, Muhammad Sajid; Saeed, Muhammad Umer (Peer reviewed; Journal article, 2021-11)In Pakistan, data for household electricity consumption are available in the form of monthly electricity bills only, and, therefore, are not helpful in establishing appliance-wise consumption. Further, it does not help in ... -
A web based solution to track trawl vessel activities over pipelines in Norwegian Continental Shelf
Farmanbar, Mina; Palanisamy, Anandhakumar; Høydal, Anne Britt; Keprate, Arvind; Haug, Gjermund (Peer reviewed; Journal article, 2019)Vessel activities such as trawling and anchoring potentially affect pipeline integrity. Therefore, the detailed information about the trawl activity in the area is essential for accurate assessment of pipeline, where to ...