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83,153 Result(s)
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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
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
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
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
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
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...
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Chapter and Conference Paper
Swin-MMC: Swin-Based Model for Myopic Maculopathy Classification in Fundus Images
Myopic maculopathy is a highly myopic retinal disorder that often occurs in highly myopic patients, serving as a major cause of visual impairment and blindness in numerous countries. Currently, fundus images s...
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Chapter and Conference Paper
CLIP-Based Composed Image Retrieval with Comprehensive Fusion and Data Augmentation
Composed image retrieval (CIR) is a challenging task where the input query consists of a reference image and its corresponding modification text. Recent methodologies harness the prowess of visual-language pre...
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Chapter and Conference Paper
Multi-level Patch Transformer for Style Transfer with Single Reference Image
Despite the recent success of image style transfer with Generative Adversarial Networks (GANs), this task remains challenging due to the requirements of large volumes of style image data. In this work, we pres...
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Chapter and Conference Paper
Correlation Analysis Between Insomnia Severity and Depressive Symptoms of College Students Based on Pseudo-Siamese Network
To explore the correlation between emotional mood and sleep quality in a college student population, we propose a new method based on pseudo-siamese network, which can quickly diagnose the causes of depression...
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Chapter and Conference Paper
Abnormal Vibration Fault Diagnosis of Reducer Based on Bayesian Network
In order to recognize the fault type of reducer abnormal vibration and reduce the cost of inspection and maintenance, an intelligent diagnosis model is developed. In the case of insufficient historical abnorma...
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Chapter and Conference Paper
Automatic Summarization Research for Long Texts Targeting Think Tanks
Think tanks are committed to researching social, political, economic, and other issues, providing relevant analyses and recommendations to help decision-makers make informed decisions. As the number of think t...
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Chapter and Conference Paper
Estimation of Unmasked Face Images Based on Voice and 3DMM
Facemasks have become common due to the COVID-19 pandemic. They have begun to affect security and identification systems because they cover almost half of the face. Current state-of-the-art methods have been a...
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Chapter and Conference Paper
Digilog: Enhancing Website Embedding on Local Governments - A Comparative Analysis
The ability to understand and process websites, known as website embedding, is crucial across various domains. It lays the foundation for machine understanding of websites. Specifically, website embedding prov...
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Chapter and Conference Paper
Unveiling New Horizons in Machine Learning, NLP-Driven Framework for Student Learning Behavior
Modeling and analyzing the behavior of learners in educational settings using machine learning and Natural Language Processing techniques include the use of text data from chat logs, discussion forums, and oth...