185 Result(s)
within
Robertas Damasevicius
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Article
Open AccessAdvanced RIME architecture for global optimization and feature selection
The article introduces an innovative approach to global optimization and feature selection (FS) using the RIME algorithm, inspired by RIME-ice formation. The RIME algorithm employs a soft-RIME search strategy ...
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Article
HGANet-23: a novel architecture for human gait analysis based on deep neural network and improved satin bowerbird optimization
Human gait is an essential biometric feature in the area of computer vision research. Over the past ten years, there has been a growing demand for a non-contact biometric approach to identify potential candida...
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Article
Boosting manta rays foraging optimizer by trigonometry operators: a case study on medical dataset
The selection of attributes has become a crucial research focus in the domains of pattern recognition, machine learning, and big data analysis. In essence, the contemporary challenge revolves around reducing d...
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Article
Open AccessMachine learning with multimodal neuroimaging data to classify stages of Alzheimer’s disease: a systematic review and meta-analysis
In recent years, Alzheimer’s disease (AD) has been a serious threat to human health. Researchers and clinicians alike encounter a significant obstacle when trying to accurately identify and classify AD stages....
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Article
Confronting bullying in the digital age: Role of Extended Reality
This paper examines how Extending Reality (XR) technologies, such as Virtual and Augmented Reality, can provide innovative solutions for preventing and addressing bullying. A search for relevant articles was c...
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Article
A smart waste classification model using hybrid CNN-LSTM with transfer learning for sustainable environment
Waste collection, classification, and planning have become crucial as industrialization and smart city advancement activities have increased. A recycling process of waste relies on the ability to retrieve the ...
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Article
Early detection of dementia using artificial intelligence and multimodal features with a focus on neuroimaging: A systematic literature review
This paper is a systematic literature review of the use of artificial intelligence techniques to detect early dementia. It focuses on multi-modal feature analysis in combination with neuroimaging. The paper ex...
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Article
Open AccessSolving Traveling Salesman Problem Using Parallel River Formation Dynamics Optimization Algorithm on Multi-core Architecture Using Apache Spark
According to Moore’s law, computer processing hardware technology performance is doubled every year. To make effective use of this technological development, the algorithmic solutions have to be developed at t...
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Chapter and Conference Paper
GAMAI, an AI-Powered Programming Exercise Gamifier Tool
This paper presents GAMAI, an AI-powered exercise gamifier, enriching the Framework for Gamified Programming Education (FGPE) ecosystem. Leveraging OpenAI APIs, GAMAI enables the teachers to leverage the story...
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Chapter and Conference Paper
Explainable Artificial Intelligence for Combating Cyberbullying
Cyberbullying has become a serious societal issue that affects millions of people globally, particularly the younger generation. Although existing machine learning and artificial intelligence (AI) methods for ...
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Chapter and Conference Paper
From STEAM to STREAM: Integrating Research as a Part of STEAM Education
We explore the transformative power of incorporating research as an integral component of the existing STEAM disciplines and emphasize the role of inquiry-based learning, critical thinking, and problem-solving...
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Article
FruitQ: a new dataset of multiple fruit images for freshness evaluation
Application of artificial intelligence methods in agriculture is gaining research attention with focus on improving planting, harvesting, post-harvesting, etc. Fruit quality recognition is crucial for farmers ...
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Article
Open AccessDimensionality reduction approach based on modified hunger games search: case study on Parkinson’s disease phonation
Hunger Games Search (HGS) is a newly developed swarm-based algorithm inspired by the cooperative behavior of animals and their hunting strategies to find prey. However, HGS has been observed to exhibit slow co...
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Article
Deep learning solutions for service-enabled systems and applications in Internet of Things
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Article
Open AccessHuman gait analysis for osteoarthritis prediction: a framework of deep learning and kernel extreme learning machine
Human gait analysis is a novel topic in the field of computer vision with many famous applications like prediction of osteoarthritis and patient surveillance. In this application, the abnormal behavior like pr...
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Article
Open AccessExplainable Deep-Learning-Based Diagnosis of Alzheimer’s Disease Using Multimodal Input Fusion of PET and MRI Images
Alzheimer’s disease (AD) is a progressive, incurable human brain illness that impairs reasoning and retention as well as recall. Detecting AD in its preliminary stages before clinical manifestations is crucial...
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Article
LSTM-SN: complex text classifying with LSTM fusion social network
Whether it is an NLP (natural language processing) task or an NLU (natural language understanding) task, many methods are model oriented, ignoring the importance of data features. Such models did not perform w...
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Article
Improvement of Facial Beauty Prediction Using Artificial Human Faces Generated by Generative Adversarial Network
Human beauty evaluation is a particularly difficult task. This task can be solved using deep learning methods. We propose a new method for determining the attractiveness of a face by using the generation of sy...
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Chapter
Using Reinforcement Learning for Optimizing COVID-19 Vaccine Distribution Strategies
The COVID-19 pandemic has highlighted the critical importance of efficient and effective vaccine distribution in responding to global health emergencies. However, the complex and rapidly changing nature of the...
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Chapter
Supporting and Sha** Human Decisions Through Internet of Behaviors (IoB): Perspectives and Implications
The rise of the Internet of Behaviors (IoB) has paved the way for new opportunities to support and shape human decision-making. IoB refers to the collection, analysis, and use of digital data generated by huma...
