Theseus - Selaus asiasanan mukaan "neural networks (information technology)"
Viitteet 1-20 / 78
-
Accuracy of different Machine Learning techniques at predicting students' study path selection
(2021)Taking the world by storm, machine learning has revolutionized how data is used and analyzed. Built on pre-existing algorithms, the sheer amount of data collected nowadays kickstarted this technology as a staple, as pattern ... -
Acid Sulfate Soils Classification and Prediction from Environmental Covariates using Extreme Learning Machines
(2023)Acid Sulfate Soil (ASS) mainly occurs because of naturally occurring phenomena. It is a sulfate-bearing sediment found in coastal areas around the globe. The highest concentration of Europe’s ASS is in Finland. It has been ... -
Agnet Object-Detection and Alert System with TensorFlow-Serving and Agnet-API
(2022)Recently, Machine Learning has played a major role in the field of science and technology. Object detection in Computer vision systems has gained a lot of use in many industries and is still being developed for many use ... -
AI based solutions in computed tomography
(2021)Tekoäly on nopeasti kasvava ja kehittyvä ala ja koska tietokonetomografiakuvantamista käytetään paljon kaikkialla maailmassa, halusimme selvittää, millaista käyttöä tekoälyllä on TT:ssä. Teimme kirjallisuuskatsauksen ... -
AI Facial Recognition System
(2022)Nowadays, facial recognition is one of the widely used categories of biometric security that distinguish itself by its security and speed from other categories such as fingerprint recognition and eye retina or iris ... -
An End-to-End Unsupervised Anomaly Detection Pipeline for Electrical Motors
(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 ...Rajoitettu käyttöoikeus / Restricted access / Tillgången begränsad -
Artificial intelligence in vision-based applications
(2020)The thesis researches the current state-of-the-art in applications that pairs vision-based sensors and artificial intelligence. The thesis is commissioned by the LAB University of Applied Sciences artificial intelligence ... -
Artificial Intelligence Solution for Gomoku Using Neural Networks
(2024)Tämän työn tarkoituksena oli luoda neuroverkoilla toimiva tekoälyratkaisu viiden suora -pelille. Tekoäly hyödynsi vahvistusoppimista, missä tekoälyä palkittiin hyvästä suorituksesta ja tekoäly pyrki maksimoimaan palkkion, ... -
Artificial Neural Networks and Deep Learning: Possibilities and Limits of its Use in Modern Software Development
(2022)This thesis is written in scientific article form. It addresses artificial intelligence, artificial neural networks and deep learning. Thesis introduces artificial intelligence, what it is, its history and different levels ... -
Automatic classification of cardiomegaly using deep convolutional neural network
(2022)Chest radiograph is a primary imaging technique to detect cardiomegaly, a condition where the heart is enlarged. A fast reliable diagnosis is crucial as it would assist the clinicians to decide on the right treatment ... -
Berry Density Estimation With Deep Learning: estimating Density of Bilberry and Lingonberry Harvest with Object Detection
(2022)Currently, yield estimation of berry harvest is done manually by calculating berries in a predefined area. Manual counting is labour intensive and thus, the data created lacks scope. This thesis studied the method to ... -
Brain image classification using deep convolutional neural networks and transfer learning
(2023)The goal of this thesis research is to automate brain image classification by using Deep Convolutional Neural Networks and Transfer Learning. It aims to improve classification accuracy to help in medical diagnosis and ... -
Capacity Monitoring Using Object Detection Algorithms
(2021)Due to the COVID-19/coronavirus pandemic, which started December 2019, in China, many governments around the global have imposed restrict lockdowns across the global along with mask mandates to slow down the spread of the ... -
Classifying news articles based on user needs using transfer learning and deep neural networks: a multi-class approach combining BERT with non-textual features
(2023)This thesis describes the procedure for developing a machine learning model that can categorise news articles based on audience insight experts' assessments of user needs. This study aims to determine if it's possible to ... -
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, ... -
Comparative Analysis of Machine Learning Performance : Conventional Computer Versus Super-computer in Convolutional Neural Network Training
(2024)This study examined the difference in running time when a complete Convolutional Neural Network (CNN) learning process was performed on a regular computer versus a supercomputer with data collected by the Oulu University ... -
Comparative Analysis of Pre-Trained Models and Interpolation for Facial Expression Recognition
(2023)This study presents a comprehensive examination of facial emotion detection using the FER 2013 dataset. In numerous disciplines, including psychology, human-computer interface, and marketing research, efficient facial ... -
Comparing Natural Language Models for Software Category Classification
(2023)The purpose of this thesis is to compare natural language machine learning models to find classification differences in the software category classification field. Software category classification is a text classification ... -
Comparing Path-Finding Algorithms and Machine Learning Model
(2024)This thesis focused on comparing A-star algorithm and some of its variants against Q-learning and Proximal Policy Optimization algorithms in terms of path finding and in game development perspective. Both Q-learning and ... -
Computational mathematics behind generative AI and machine learning
(2024)Neural networks have revolutionized various fields of computer science, especially machine learning and artificial intelligence. The purpose of this thesis was to examine the fundamentals of neural networks, overview the ...


















