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  1. No Access

    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...

    Ángela Casado-García, Jónathan Heras, Roberto Marani in Advances in Artificial Intelligence (2024)

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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 ...

    André Almo, Mariana Rocha, Attracta Brennan in Games and Learning Alliance (2024)

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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...

    Bhavana Kushwah in Intelligent Manufacturing and Energy Sustainability (2024)

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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 ...

    Shaohua Dong, **nchun Ma, **aochao Fan, Shoutong Wang in Artificial Intelligence in China (2024)

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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...

    Haoyu Tang, Zhaoyi Liu, Chang Zeng, **nfeng Li in Advances in Neural Networks – ISNN 2024 (2024)

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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...

    Stefan Bodenschatz, Tilo Mentler, Christof Rezk-Salama in Games and Learning Alliance (2024)

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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...

    Harvinder Singh in Intelligent Manufacturing and Energy Sustainability (2024)

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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...

    Martín Montes Rivera, Marving Aguilar-Justo in Advances in Computational Intelligence. MI… (2024)

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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...

    Nandu Chandran Nair, Alessandra Rossi, Silvia Rossi in Social Robotics (2024)

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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...

    Miguel Á. González-Santamarta in Advances in Artificial Intelligence (2024)

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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...

    Jairo A. Lefebre-Lobaina in Progress in Artificial Intelligence and Pa… (2024)

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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...

    Li Lu, Xuhao Pan, Panji **, Ye Ding in Myopic Maculopathy Analysis (2024)

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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...

    Haoqiang Lin, Haokun Wen, **aolin Chen in AI 2023: Advances in Artificial Intelligen… (2024)

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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...

    Yue He, Lan Chen, Yu-Jie Yuan, Shu-Yu Chen, Lin Gao in Computational Visual Media (2024)

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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...

    Ya-fei Wang, Yan-ling Zhu, Peng Wu, Meng Liu in Advanced Computational Intelligence and In… (2024)

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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...

    **n Tan, **gshu Zhong, **aofeng Zhou in Advances in Neural Networks – ISNN 2024 (2024)

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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...

    YuanYuan Chen, Lei Wang in Artificial Intelligence in China (2024)

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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...

    Tetsumaru Akatsuka, Ryohei Orihara in AI 2023: Advances in Artificial Intelligen… (2024)

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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...

    Jonathan Gerber, Bruno Kreiner, Jasmin Saxer in Foundations of Intelligent Systems (2024)

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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...

    S. S. Jamsandekar, P. G. Naik, R. S. Kamath in Multi-Strategy Learning Environment (2024)

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