Theseus - Selaus asiasanan mukaan "deep learning"
Viitteet 1-20 / 100
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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 ... -
Age Estimation from Facial Images using Machine Learning
(2023)In today's era of online services, there is a growing need to verify user age to comply with legal requirements. However, traditional methods requiring collecting personal identification data may compromise user privacy ... -
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 recommendations
(2024)Thesis explores the implementation of Rek.ai on Valmet.com, aiming to enhance user experience. Key metrics like AI statistics, website statistics and monthly reports were tracked and analyzed over a period of two months. ... -
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 ... -
AI for educational board games
(2024)Cutting-edge artificial intelligence (AI) technologies are rapidly advancing and finding applications across multiple domains. Due to the surge of mobile applications, tradi- tional educational board games, known for their ... -
AI-based educational learning application
(2023)Explores the potential of artificial intelligence in education by creating an application that transcribes videos and answers questions related to the videos using open-source models. The AI-based platform allows educators ... -
Applications of Machine Learning for Malware and Intrusions Detection
(2024)Computers face numerous security threats like spoofing, jamming, DDoS attacks, malware, and botnet attacks. Various machine learning techniques and algorithms can be employed to enhance the security features of computing ... -
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 ... -
Cloud-Enhanced Intrusion Detection : Evaluating Deep Learning and Ensemble Methods Using Hikari 2021 Dataset
(2024)The thesis provides an in-depth analysis into machine learning and deep learning system methodologies for network invasion discovery using the HIKARI-2021 dataset. This involved the application of models like Random Forest, ... -
Co-design of a trustworthy AI system in healthcare : deep learning based skin lesion classifier
(Frontiers Media, 2021) -
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 ...



















