Theseus - Selaus asiasanan mukaan "deep learning"
Viitteet 81-100 / 100
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Prediction of spot prices in Nord Pool's Day-ahead market using machine and deep learning
(Springer, 2020)Aim of this paper is to describe and compare the machine learning and deep learning based forecasting models that predict Spot prices in Nord Pool’s Day-ahead market in Finland with open-source software. The liberalization ... -
Pretrained Neural Networks in HSC Chemistry Sim
(2024)Many researchers are familiar with the Python programming language and can create machine learning models using popular third-party tools such as TensorFlow and PyTorch. Unfortunately, the use of these models in HSC Sim ...Rajattu käyttöoikeus / Restricted access / Tillgången är begränsad -
Real-time emotion detection using python
(2023)The thesis aims to learn more about the machine learning model and develop the model to explore the use of computer vision techniques using Python and Convolutional Neural Networks (CNNs). By developing an CNNs model to ... -
Real-time object detection on edge devices
(2022)Työn tavoitteena oli tutkia eri olemassa olevien reunalaskentalaitteiden suorituskykyä huippuluokan kohteentunnistusmalleilla. Kolme laitetta eri valmistajien reunalaskentakiihdyttimillä valittiin vertailuun, joita olivat ... -
Recognition and classification of mechanical tools through machine learning
(2023)This thesis presents a study on recognizing mechanical tools by classification through machine learning. The research is to develop a model that can accurately classify several mechanical tools based on their physical ... -
Research and development process of A.I. based LED-analysis tool for Bittium CI-laboratory
(2023)Various industries from financial to heavy industry use machine learning to provide innovative solutions to a variety of purposes. Test automation and device functionality verification, an area where machine learning is ... -
Retrievimage - online image retriever
(2023)The purpose of this project was to provide a solid foundation of knowledge on image retrieval systems, including necessary theoretical definitions, components of such applications, and basic concepts of image retrieval. ... -
Role of Artificial Intelligence aided Inspection Methods for Sustainable Periodic Maintenance and Renovation of Renewable Energy Systems Project
(2024)This thesis explores the integration of Artificial Intelligence (AI) to enhance the performance, maintenance, and sustainability of renewable energy projects. The primary objectives are to identify AI methods and techniques ... -
Sale Prediction Using Machine Learning Algorithms
(2023)This thesis is to investigate the sales prediction accuracy by trial and error from different machine learning models and study the accuracy of these models. We perform predictions based on machine learning techniques on ... -
Sentiment analysis of consumer tweets and reviews of Finnish retail companies
(2024)The focus of this work has been on the defining of the approach through which sentiment analysis has been performed over the retail market of the Finnish. The reason behind the performing of the work is to understand the ... -
Surveying and analyzing open-source AI tools for human expression recognition
(2023)The ability to perceive and understand human emotions plays a crucial role in various aspects of human-computer interaction and artificial intelligence systems. In recent years, the advent of deep learning techniques, ... -
Tekoälyn hyödyt ja käyttö asiakaspalvelussa
(2019)Toimeksiantajana toimiva tietojenkäsittelyn tutkinto-ohjelma sai pyynnön Jyväskylän kaupunkirakennepalveluilta lähteä kehittämään kaupungin asiakaspalvelua. Tarkoituksena oli jatkaa Chris Heinon kaupungille tekemää selvitystä ... -
The relationship of leadership and artificial intelligence in construction and development industry : a mixed methods research
(2022)Modern residential construction and development industry has remained relatively unchanged for decades - industry is well-known for its reluctance to transform. Throughout the past five years or so, artificial intelligence ... -
The Role of AI in Project Management
(2024)This research focuses on the integration of Artificial Intelligence (AI) with project management to determine what type of integration is possible and beneficial. It aims to demonstrate the direct effectiveness of AI across ... -
Use of Artificial Intelligence in Construction
(2023)Artificial Intelligence (AI) has been involved in the construction industry research since 1974, and it has gained exponential growth in research interest starting in the 21st century. Artificial Intelligence is divided ... -
Use of artificial intelligence in nursing
(2023)The purpose of the thesis is to explore the concepts of Artificial Intelligence (AI), its application, advantages, challenges, possible measures of integrating AI into nursing practice as well as the ethical considerations. ... -
Using Deep Learning Models for Standardised Assessments of Urban Ecosystem Services
(2023)The benefits that humans receive from their environment, commonly classified as ecosystem services (ES), has a high demand in cities due to the increased population density. As the urban footprint escalates with human ... -
Viimeaikaiset suuntaukset tekoälyteknologian kehityksessä
(2023)Monet päivittäin käyttämistämme laitteista ja sovelluksista, kuten älypuhelimet ja sosiaalisen median alustat, hyödyntävät tekoälyteknologiaa parantaakseen suorituskykyänsä. Tekoälyteknologia on tällä hetkellä yksi ... -
Visual-Aware Deep Learning-Based Model for Predicting the Popularity of Online Finnish Recipes
(2024)The internet has emerged as a prominent platform for culinary inspiration, dining experiences, and social gatherings that revolves around food. Consequently, significant number of individuals now depend on online recipes ... -
Yellow rust disease detection from wheat images
(2024)Yellow rust, a devastating fungal disease caused by Puccinia striiformis have been identified as a major hindrance to wheat production to millions of metric tons being lost annually, in turn exacerbating food insecurity. ...


















