Analysis of Automation Tools in the Development and Deployment of Machine Learning Based Applications in a Virtual Cloud Environment

Bibliographic Details
Main Author:	Szentannai Kálmán
Other Authors:	Dr. Zsedrovits Tamás
Format:	Manuscript essay
Published:	2024-06-25
Online Access:	https://diplomamunka.ppke.hu/24929

Similar Items

Developing machine learning algorithms for geophysical applications
by: Szigethy Virág
Published: (2024)

Development of machine learning tools for the reconstruction of muscle movements from electrophysiological data
by: Eftimiu Nikomidisz Jorgosz
Published: (2022)

Environment interpretation from Lidar point clouds
by: Pálffy Balázs
Published: (2024)

Accuracy of automated analysis in cephalometry
by: Bagdy-Bálint Réka, et al.
Published: (2024)

Developing an application integrating a robotic arm and pose estimation model and deploying it on an embedded system
by: Bissaliyeva Zhanbota
Published: (2022)

Development of in vitro and in vivo characterization tools for brain computer interface applications
by: Ismaiel Ebrahim
Published: (2022)

Logo detection and verification with machine learning for document analysis
by: Cajas Ordonez Sebastian Andres
Published: (2022)

Developement of a complex formation perturbing effect prediction tool based on genomic data analysis
by: Kovács Szabolcs Cselgő
Published: (2022)

Data Analysis and Machine Learning for Speech-Music Playlist generation
by: Khorani Maikey Zaki Bia
Published: (2015)

Brain-computer interface system development with machine learning algorithms
by: Eftimiu Nikomidisz
Published: (2015)

Camera-Based Pulse Monitoring Using Deep Learning Tools
by: Terbe Dániel
Published: (2014)

Development of a data-driven behavior-analysis module for smart offices for a SaaS cloud platform
by: Németh Sebestyén
Published: (2023)

Hyperparameter Tuning in Machine Learning
by: Dabool Hamzah
Published: (2022)

Enhancing 360° VR Experiences with Machine Learning-based Multisensorial Effects
by: Szabó Péter József
Published: (2021)

Orchestrating and Designing Machine Learning Microservices
by: Pető Márk
Published: (2021)

Developing virtual reality for simultaneous place cell two-photon imaging and electrophysiology recordings in mice
by: Szmola Benedek Ernő
Published: (2015)

Development of experimental environment for the research of living neuronal networks
by: Petik Ábel
Published: (2014)

Deep learning-based LiDAR Point-cloud Semantic Segmentation using 2D Range Image
by: Bravo Solis Eduardo Daniel
Published: (2014)

PSD2 based web-application for Open Banking analysis
by: Steiner Ádám
Published: (2023)

The theory of surface plasmon resonance based instruments and it's analysis of applications
by: Gál Árpád László
Published: (2009)

Increasing the robustness of deep neural networks against adversarial attacks and solving other prominent problems in the application of machine learning
by: Jalal Alafandi
Published: (2023)

Gesture prediction by machine learning methods on the basis of ultrasound-based muscle activity measurement
by: Daoud Mária Lujza
Published: (2014)

Applications of reinforcement learning in rehabilitation exoskeletons
by: Endrei Tamás Roland
Published: (2024)

Estimating board game balance and replayability with machine learning
by: Balogh Zsófia
Published: (2014)

Machine learning principles in the neural mechanisms of the cerebral cortex
by: Kertész Borbála
Published: (2021)

Automatic Classification of Spinal Injuries Using Machine Learning
by: Szigeti Mark Bence
Published: (2024)

Movement modeling and control of a Reactive Virtual Trainer
by: Varga Balázs
Published: (2008)

Development of multimodal diagnostic tools for epilepsy patients implanted with intracranial micro- and macroelectrodes
by: Tóth Emília
Published: (2015)

Development, Testing and Application of Laminar Multielectrodes and Biocompatible Coatings for Intracortical Applications
by: Grand László Bálint
Published: (2010)

Sensory robotic applications using deep learning
by: Nagy Dániel Zoltán
Published: (2022)

Data processing of measurements collected in IoT systems with machine learning
by: Özdemir Övgü
Published: (2016)

Detection of motor activities from electrophysiological data with machine learning
by: Szász Dorottya
Published: (2019)

Machine learning alapú ajánló rendszer fejlesztése röntgen szoftverhez
by: Volkov Krisztián
Published: (2021)

Machine Learning Models for Mixed Speech Music Audio Data
by: Bálint Hunor Ferenc
Published: (2024)

Machine learning based time-series classification of single-cell label-free optical biosensor data
by: Sztilkovics Milán Ferenc
Published: (2014)

Front-end development of an Academic Administration Application
by: Cynolter Márton Benedek
Published: (2023)

Control of a human hand-like model with the help of machine learning
by: Schäffer Katalin
Published: (2014)

Analysis of EEG signals with deep-learning algorithms
by: Miski Marcell
Published: (2016)

Analysis of combined electrophysiological and video signals using conventional and deep learning based methods
by: Jász Anna
Published: (2014)

Automated Thyroid Gland Segmentation on Planar SPECT Images
by: Szentgyörgyvári Richárd
Published: (2012)