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Image Processing and Computer Vision
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Conference Paper
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Chapter and Conference Paper
Efficient Proactive Resource Allocation for Multi-stage Cloud-Native Microservices
Microservices deployment in the cloud often faces a prevalent challenge: how to maximize resource utilization while maintaining high quality-of-service (QoS). Existing automatic scaling tools frequently exhibi...
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Chapter and Conference Paper
Taking Advantage of Depth Information for Semantic Segmentation in Field-Measured Vineyards
RGB-D cameras mounted on moving agricultural robotic platforms provide detailed information about both appearance and volume of plants. Those images can be analysed by means of deep segmentation models; howeve...
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Chapter and Conference Paper
Abstracts Embeddings Evaluation: A Case Study of Artificial Intelligence and Medical Imaging for the COVID-19 Infection
During the COVID-19 pandemic, a huge amount of literature was produced covering different aspects of infection. The use of artificial intelligence (AI) in medical imaging has been shown to improve screening, d...
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Chapter and Conference Paper
Cross-channel Image Steganography Based on Generative Adversarial Network
Traditional steganographic algorithms often suffer from issues such as low visual quality and limited resilience against steganalysis at high-capacity data embedding. To address these limitations, this paper p...
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Chapter and Conference Paper
A Game Design-Centric Taxonomy for Feedback Features in Digital Serious Games
As with other pedagogical approaches, feedback is crucial in digital game-based learning, providing information to players and impacting their learning and motivation. However, the design of feedback features ...
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Chapter and Conference Paper
PE-MED: Prompt Enhancement for Interactive Medical Image Segmentation
Interactive medical image segmentation refers to the accurate segmentation of the target of interest through interaction (e.g., click) between the user and the image. It has been widely studied in recent years...
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Chapter and Conference Paper
Failure Stories and Surprising Findings: Learning from When VR Did Not Work
It is easy to assume that virtual reality will naturally lead to improved learning outcomes, as there is a tendency to view VR, as an exciting new technology, as a “silver bullet” that can dramatically enhance...
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Chapter and Conference Paper
Net Zero Energy Building: A Case Study of Jaisalmer
Due to the increased concentration of greenhouse gases, our ecosystem faces severe global warming and climate change challenges. Conventional energy resources have been incredibly exhausted in develo** and m...
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Chapter and Conference Paper
Video-Based Emotion Estimation Using Deep Neural Networks: A Comparative Study
In this study we investigate the effectiveness of deep neural networks in predicting valence and arousal solely from visual information of video sequences. Several recent Convolutional Neural Network (CNN) and...
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Chapter and Conference Paper
Knowledge-Enhanced Recommendation System Design for Mechatronics IoT Cloud Platform
In recent years, with the rapid development of the Internet and the continuous maturation of artificial intelligence technology, mechatronics has embraced the Internet of Things and is progressively advancing ...
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Chapter and Conference Paper
Beyond Universal Transformer: Block Reusing with Adaptor in Transformer for Automatic Speech Recognition
Recently, Transformer-based models have excelled in end-to-end (E2E) automatic speech recognition (ASR), enabling deployment on smart devices. However, their large parameter requirements pose challenges for AS...
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Chapter and Conference Paper
A Security-Focused Architecture for Gameplay Telemetry in Serious Games
Serious games are a promising approach for diagnostic and therapeutic as well as educational purposes. Capturing player performance and behavior along with details of gameplay directly from the game is a valua...
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Chapter and Conference Paper
Self-training with Domain-Mixed Data for Few-Shot Domain Adaptation in Medical Image Segmentation Tasks
Deep learning has shown significant progress in medical image analysis tasks such as semantic segmentation. However, deep learning models typically require large amounts of annotated data to achieve high accur...
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Chapter and Conference Paper
FCSO: Source Code Summarization by Fusing Multiple Code Features and Ensuring Self-consistency Output
Source code summarization is the process of generating a concise and generalized natural language summary from a given source code, which can facilitate software developers to comprehend and use the code bette...
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Chapter and Conference Paper
Performance Analysis of a Parabolic Trough Collector
TRNSYS® software simulates a parabolic trough collector (PTC) with a phase change material (PCM) solar water heating system. The simulation predicts hot water supply during morning and evening peak demand. The...
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Chapter and Conference Paper
Identifying DC Motor Transfer Function with Few-Shots Learning and a Genetic Algorithm Using Proposed Signal-Signature
The most common actuators in precision or low-power applications are Direct Current (DC) motors. DC motors are in robots, commercial products, automobiles, and appliances for accurately controlling position or...
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Chapter and Conference Paper
Impact of Explanations on Transparency in HRI: A Study Using the HRIVST Metric
This paper presents an exploration of the role of explanations provided by robots in enhancing transparency during human-robot interaction (HRI). We conducted a study with 85 participants to investigate the im...
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Chapter and Conference Paper
Exploring the Use of LLMs for Teaching AI and Robotics Concepts at a Master’s Degree
This article explores the use of Large Language Models (LLM) as transformative tools for teaching Artificial Intelligence (AI) and Robotics concepts at the master’s level. LLMs, exemplified by models like Chat...
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Chapter and Conference Paper
SolGPT: A GPT-Based Static Vulnerability Detection Model for Enhancing Smart Contract Security
In this study, we present SolGPT, a novel approach to addressing the pivotal issue of detecting and mitigating vulnerabilities inherent in smart contracts, particularly those written in Solidity, the predomina...
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Chapter and Conference Paper
A Parallel Approach for RegularSearch Algorithm
The process of finding minimal subsets of features that can differentiate objects belonging to different classes, known as typical testors, is an exponential complexity problem. Several algorithms have been pr...
