Theseus - Selaus asiasanan mukaan "neural networks (information technology)"
Viitteet 61-78 / 78
-
Pneumonia Detection and Diagnosis Formation in Chest X-ray Scans Using Localized Miniature Residual Convolution Neural Networks and GPT Integration
(2024)Chest radiography is one of the most preliminary forms of radiological investigation used globally. As such, it accounts for the gateway to detecting a plethora of pulmonary anomalies, the early diagnosis of which serves ... -
Possibilities in AI in customer care in the software business
(2024)Tekoälyn (AI) nopea kehitys tarjoaa uusia mahdollisuuksia tukipalvelun optimointiin. Tämän opinnäytetyön tavoitteena on analysoida AI:n potentiaalia asiakaspalvelutyöntekijöiden resurssien vapauttamiseksi ja asiakastyytyväisyyden ... -
Practical Attack and Defense Methods for Integrity of Deep Neural Networks in Digital Pathology Image Analysis Systems
(2024)Digital pathology has made huge strides in development over the past decade. The introduction of new technology brings with it huge potential in efficiency, accuracy, and cost benefits, but also new risks. From the point ... -
Predicting the Performance of Football Teams in the Italian Serie A League Using Neural Networks and Machine Learning Methods through Historical Data Analysis
(2024)The aim of this thesis is designing several prediction models based on machine learning algorithms and neural networks methods to predict the performance of football teams, their final ranking and the champion of Serie A ... -
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 Classification of Traffic Signs with Deep Learning
(2021)Problems are commonly encountered in image classification tasks within the field of computer vision. Over the past few decades, such problems have increasingly been treated with machine-learning techniques and, in particular, ... -
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 ... -
Reinforcement Learning for Financial Portfolio Management: A study of Neural Networks for Reinforcement Learning on currency exchange market
(2021)Portfolio management is the process of continually reallocating funds into financial instruments, aiming to maximize the return. This paper presents a Reinforcement Learning framework where an agent interacts with the ... -
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 ... -
Researching Neural Network and Applying for Secret Key Exchange
(2021)While cyber-attacks have been increasing through the years, the key exchange protocols, for example, Diffie-Hellman key exchange protocol implementation, remain inadequate in terms of security that attackers can exploit ... -
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 ... -
Stroke prediction using machine learning techniques
(2023)People today are affected by a wide range of diseases as an impact of the current state of the environment and human lifestyle choices. Early detection and prediction of such diseases are necessary to prevent them from ... -
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, ... -
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 ... -
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. ...
















