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Rytis Buzys, Rytis Maskeliunas, Robertas Dama?evicius, Tatjana Sidekerskiene, Marcin Wozniak and Wei Wei
Cloud gaming provides cloud computing-based game as a service. In this paper we describe the development of a virtual reality base gliding game as a proof-of-concept. In the cloud, a cloud gaming platform is hosted on cloud servers with two principal com...
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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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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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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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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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Roseline Oluwaseun Ogundokun, Sanjay Misra, Mychal Douglas, Robertas Dama?evicius and Rytis Maskeliunas
In today?s healthcare setting, the accurate and timely diagnosis of breast cancer is critical for recovery and treatment in the early stages. In recent years, the Internet of Things (IoT) has experienced a transformation that allows the analysis of real-...
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Ramya Krishna Manugunta, Rytis Maskeliunas and Robertas Dama?evicius
Semantic segmentation is the task of clustering together parts of an image that belong to the same object class. Semantic segmentation of webpages is important for inferring contextual information from the webpage. This study examines and compares deep l...
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Roseline Oluwaseun Ogundokun, Rytis Maskeliunas and Robertas Dama?evicius
With the advancement in pose estimation techniques, human posture detection recently received considerable attention in many applications, including ergonomics and healthcare. When using neural network models, overfitting and poor performance are prevale...
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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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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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Robertas Dama?evicius and Rytis Maskeliunas
This paper describes a unique meta-heuristic technique for hybridizing bio-inspired heuristic algorithms. The technique is based on altering the state of agents using a logistic probability function that is dependent on an agent?s fitness rank. An evalua...
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Mindaugas Luneckas, Tomas Luneckas, Jonas Kriauciunas, Dainius Udris, Darius Plonis, Robertas Dama?evicius and Rytis Maskeliunas
Due to the prospect of using walking robots in an impassable environment for tracked or wheeled vehicles, walking locomotion is one of the most remarkable accomplishments in robotic history. Walking robots, however, are still being deeply researched and ...
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Rytis Maskeliunas, Audrius Kulikajevas, Tomas Bla?auskas, Robertas Dama?evicius and Jakub Swacha
In the pedagogical process, a serious game acts as a method of teaching and upbringing, the transfer of accumulated experience and knowledge. In this paper, we describe an interactive serious programming game based on game-based learning for teaching Jav...
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Nureni Ayofe Azeez, Tolulope Jide Ayemobola, Sanjay Misra, Rytis Maskeliunas and Robertas Dama?evicius
Ubiquitous nature of Internet services across the globe has undoubtedly expanded the strategies and operational mode being used by cybercriminals to perpetrate their unlawful activities through intrusion on various networks. Network intrusion has led to ...
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Laurynas Pipiras, Rytis Maskeliunas and Robertas Dama?evicius
Automatic speech recognition (ASR) has been one of the biggest and hardest challenges in the field. A large majority of research in this area focuses on widely spoken languages such as English. The problems of automatic Lithuanian speech recognition have...
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Rytis Maskeliunas, Robertas Dama?evicius and Sagiv Segal
The internet of things (IoT) aims to extend the internet to real-world objects, connecting smart and sensing devices into a global network infrastructure by connecting physical and virtual objects. The IoT has the potential to increase the quality of lif...
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Augustas Urbonas, Vidas Raudonis, Rytis Maskeliunas and Robertas Dama?evicius
In the lumber and wood processing industry, most visual quality inspections are still done by trained human operators. Visual inspection is a tedious and repetitive task that involves a high likelihood of human error. Currently, new automated solutions w...
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Ranjan Kumar Behera, Santanu Kumar Rath, Sanjay Misra, Robertas Dama?evicius and Rytis Maskeliunas
Analyzing the structure of a social network helps in gaining insights into interactions and relationships among users while revealing the patterns of their online behavior. Network centrality is a metric of importance of a network node in a network, whic...
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