"deep learning" - Selaus asiasanan mukaan Opinnäytetyöt (Avoin kokoelma)
Viitteet 1-11 / 11
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A Mobile Application for Nepali Sign Language Detection Using Deep Learning
(2024)Sign language greatly benefits hearing-impaired individuals by enabling effective communication with the world. However, understanding and decoding sign language can be challenging for those unfamiliar with it. To bridge ... -
Adapting computer vision-based marker-less pose estimation systems for rehabilitation applications through transfer learning
(2022)The need for telerehabilitation services has become more evident in recent years, and new developments in computer vision have shown promise, providing evidence that these services may become a reality in the future. Even ... -
Combating Involuntary Information Leakage in Video Conferences Using Computer Vision Algorithms
(2023)Information security is an endless process. With the evolution of technologies, this topic has been broadly discussed over time. During the COVID-19 pandemic, most activities have changed from personal attendance to online, ... -
Enhancing Customer feedback processing with Machine Learning in Microsoft Azure
(2022)Text Classification and Natural Language Processing (NLP) is developing fast, and all the applications are rapidly evolving, GPT-3 emerged in the field just last year and there are some open-source options in the field, ... -
Experimental evaluation of ship detection using U-Net with various backbone networks
(2022)The growth in global trade has led to the growth in global ship traffic. Maritime security, safety and tracking has become more critical. Organizations and governments globally are developing applications to improve maritime ... -
Food Waste Prediction in Grocery Stores : time series forecasting by deep learning
(2022)Food waste has becoming an increasingly important problem globally. Source of waste derives from supply chain, food manufacturing, household, retail stores etc. This thesis focuses on the food waste problem in retail ... -
How AI can help forecasting in purchasing
(2024)Since the industrial revolution, there has been notable progress in technological innovation, leading to the transformation of many manual tasks and processes that had previously been limited by human physical capabilities ... -
Machine Vision for Sorting
(2024)The integration of robots and machine vision in manufacturing has significantly advanced automation, reducing labour costs and improving productivity and safety. This thesis investigates the effectiveness of three object ... -
Open-source dog breed identification using CNN: explanation of the development & underlying technological specifications
(2023)This thesis aims to develop a deep learning model that uses the Fast.ai library and transfer learning to create a convolutional neural network model. The model will identify dog breeds in digital images and evaluate the ... -
Predicting Acid Sulphate Soils in Finland’s Coastal Areas Using Deep Learning Fusion of Remote Sensing Map Tile Data
(2024)Acid Sulfate (AS) soils represent a significant ecological risk and are a major environmental concern, particularly in Finland, where they are recognized as one of the country’s most pressing environmental challenges. ... -
Predicting fine particulate matter levels in Finnish buildings
(2019)Fine particulate matter (PM 2.5 ) is considered one of the most harmful air pollutants. While a large proportion of the particles is originating from outdoor sources, people are mostly exposed while indoors. Predicting ...










