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Rytis Maskeliunas, Robertas Dama?evicius, Vidas Raudonis, Au?ra Adomaviciene, Juozas Raistenskis and Julius Gri?kevicius
One of the most difficult components of stroke therapy is regaining hand mobility. This research describes a preliminary approach to robot-assisted hand motion therapy. Our objectives were twofold: First, we used machine learning approaches to determine ...
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Rytis Maskeliunas, Audrius Kulikajevas, Robertas Dama?evicius, Julius Gri?kevicius and Au?ra Adomaviciene
The research introduces a unique deep-learning-based technique for remote rehabilitative analysis of image-captured human movements and postures. We present a ploninomial Pareto-optimized deep-learning architecture for processing inverse kinematics for s...
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Damilola Akingbesote, Ying Zhan, Rytis Maskeliunas and Robertas Dama?evicius
The paper presents an evaluation of a Pareto-optimized FaceNet model with data preprocessing techniques to improve the accuracy of face recognition in the era of mask-wearing. The COVID-19 pandemic has led to an increase in mask-wearing, which poses a ch...
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Ashokkumar Palanivinayagam, Claude Ziad El-Bayeh and Robertas Dama?evicius
Machine-learning-based text classification is one of the leading research areas and has a wide range of applications, which include spam detection, hate speech identification, reviews, rating summarization, sentiment analysis, and topic modelling. Widely...
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Yusef Savid, Reza Mahmoudi, Rytis Maskeliunas and Robertas Dama?evicius
Advancements in artificial intelligence are leading researchers to find use cases that were not as straightforward to solve in the past. The use case of simulated autonomous driving has been known as a notoriously difficult task to automate, but advancem...
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Robertas Dama?evicius, Rytis Maskeliunas and Tomas Bla?auskas
A serious game is a type of game that is designed for a primary purpose other than entertainment. Instead, serious games are intended to achieve specific goals, such as education, training, or health promotion. The goal of serious games is to engage play...
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Ashokkumar Palanivinayagam and Robertas Dama?evicius
The existence of missing values reduces the amount of knowledge learned by the machine learning models in the training stage thus affecting the classification accuracy negatively. To address this challenge, we introduce the use of Support Vector Machine ...
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Roseline Oluwaseun Ogundokun, Rytis Maskeliunas, Sanjay Misra and Robertas Damasevicius
Human posture classification (HPC) is the process of identifying a human pose from a still image or moving image that was recorded by a digicam. This makes it easier to keep a record of people?s postures, which is helpful for many things. The intricate s...
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Rytis Maskeliunas, Robertas Dama?evicius, Audrius Kulikajevas, Joane Marley and Caroline Larsson
Low back pain is a leading cause of disability worldwide, putting a significant strain on individual sufferers, their families, and the economy as a whole. It has a significant economic impact on the global economy because of the costs associated with he...
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Roseline Oluwaseun Ogundokun, Rytis Maskeliunas, Sanjay Misra and Robertas Damasevicius
Posture detection targets toward providing assessments for the monitoring of the health and welfare of humans have been of great interest to researchers from different disciplines. The use of computer vision systems for posture recognition might result i...
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