"machine learning" - Selaus asiasanan mukaan Opinnäytetyöt (Käyttörajattu kokoelma)

Viitteet 1-16 / 16

    • AI-based Service Lead Generator for Hoisting Wire-rope 

      Abass, Adeyinka (2025)
      Hoisting wire ropes are critical components in crane systems, essential for ensuring reliability and safety during operations. Periodic inspections are mandated by international standards to prevent wire rope failures, ...
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    • AI-Enhanced Autonomous Drones for Early Detection of Forest Fires in Finnish Boreal Regions 

      Ali, Sufyan (2025)
      Ecosystems, infrastructure, and human safety are all at risk, as wildfires can cause extensive damage to them. Early detection is therefore recognized as a crucial component of effective disaster management. In this ...
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    • An End-to-End Unsupervised Anomaly Detection Pipeline for Electrical Motors 

      Aydin, Ugur (2023)
      Due to the pervasive use of electrical machines in the industry, it is important to ensure reliable operation of these devices while avoiding unplanned downtimes. Typically, the condition monitoring of electrical machines ...
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    • Bridging the gap with customers using machine learning on the NPS dataset 

      Chauhan, Jonu (2024)
      One of the key tools companies worldwide use to measure customer satisfaction is via the Net Promoter Score (NPS). This thesis tackles the problems in analyzing NPS data due to open text feedback, low response rates, and ...

    • Car Park application behavior analysis 

      Padinjarechalil Shaji, Shamnad (2022)
      The objective of this study is to do data analytics for finding user behavior and then use artificial intelligence to predict the impact of a new feature or a better UI/UX for the customers. To understand which gives more ...
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    • Categorising audio with K-Means: an extensible system for content-based music exploration 

      Papunen, Janne (2023)
      Categorisation is a fundamental part of human organisation of information. Due to the abundance of data in the present day, it is increasingly tedious to manually organise large libraries of any sort of items. In the context ...
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    • Cybersecurity Threats and Mitigation Strategies in Robotic Systems: A Frame work for Securing Autonomous Technologies 

      Umar, Tahir (2025)
      In a world where robots and intelligent systems are becoming more and more integrated into critical infra- structure, ensuring cybersecurity has become a key challenge. In the Software Defined Networking (SDN) environment, ...
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    • Data Survey for Elonen Oy Bakery: applying clustering to sales data analysis 

      Hakala, Taina (2025)
      The background of this work was Elonen Oy Bakery's desire to better utilize collected sales and other data. The task was to investigate the available data and discuss with industry experts the best potential methods to ...
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    • Energy-Based Graph Partitioning for Scalable Node Prediction in Large Graphs 

      Mansouri, Elaheh (2025)
      Graph Neural Networks are some of the most powerful tools for learning from graph structured data and have been used in recommendation systems, drug discovery, and fraud detection. Due to their great advantage in finding ...
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    • Enhancing Anti-Money Laundering Strategies Using Artificial Intelligence 

      Thomsen, Anna (2024)
      Vaikka tekoälyä on käytetty eri aloilla jo vuosia, rahanpesun torjunta on suurelta osin tukeutunut perinteisiin, sääntöihin perustuviin menetelmiin. Opinnäytetyö tutkii, kuinka rahanpesun torjunnan strategioita voidaan ...
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    • Enhancing IIoT Anomaly Detection Using Feature Engineering and Data Balancing 

      Babar, Rimsha (2025)
      The fast development of the Industrial Internet of Things (IIoT) has presented new, unprecedented ac-cess to connectivity and automation of the industrial environment. This connectivity has, however, also served as an ...
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    • Mental Health Detection Using AI : From Social Media Texts Using NLP 

      Ahmad, Temiya (2025)
      A comparative study on Artificial intelligence (AI) was conducted, focused on an adaptable and discrete detection of severe mental health related issues, especially given digital health priorities in contexts like Finland. ...
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    • Optimisation of the fraud detection algorithm and the timeliness of data collection by the TNA application 

      Bilgic, Sezayi (2024)
      VAT fraud is provoking a huge loss in public budget and VAT carrousel fraud is one of these fraud at European level, fraudsters should be tracked before disappearing. So Eurofisc a network of experts that exchange data ...
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    • Predictive Analytics in Marketing: Exploring How AI Can Predict Future Customer Behaviour and Trends 

      Choudhary, Suman (2025)
      Artificial intelligence (AI) is reshaping modern marketing by enabling organisations to forecast consumer behaviour with greater precision and agility. As businesses increasingly adopt AI to automate decisions, personalize ...
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    • Rare Arrhythmia Diagnosis Using Synthetic ECG Data 

      Rabbi, Golam Fazle; Wadud, Abdul; Shamsuddin, Rittika (2025)
      In cardiovascular healthcare, an accurate diagnosis of cardiac arrhythmias is needed to reduce mortality due to heart diseases and enhance clinical results. Although deep learning-based automated electrocardiogram (ECG) ...
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    • Smart IoT-Driven Robotic Ecosystems: Merging AI, Automation, and Connectivity 

      Abbas, Najam (2025)
      The essay is the conceptualization, development and analysis of a Smart IoT-Driven Robotic Ecosystem (SI- oTRE), an intelligent system which combines the Internet of Things (IoT), Artificial Intelligence (AI), and ro- botic ...
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