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  1. No Access

    Chapter and Conference Paper

    CubeSat-CDT: A Cross-Domain Dataset for 6-DoF Trajectory Estimation of a Symmetric Spacecraft

    This paper introduces a new cross-domain dataset, CubeSat-CDT, that includes 21 trajectories of a real CubeSat acquired in a laboratory setup, combined with 65 trajectories generated using two rendering engines –...

    Mohamed Adel Musallam, Arunkumar Rathinam in Computer Vision – ECCV 2022 Workshops (2023)

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    Chapter and Conference Paper

    Assessing Different Feature Selection Methods Applied to a Bulk RNA Sequencing Dataset with Regard to Biomedical Relevance

    High throughput RNA sequencing (RNA-Seq) allows for the profiling of thousands of transcripts in multiple samples. For the analysis of the generated RNA-Seq datasets, standard and well-established methods exis...

    Damir Zhakparov, Kathleen Moriarty in Machine Learning and Principles and Practi… (2023)

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    Chapter and Conference Paper

    Reconsidering an Agent-Based Model of Food Web Evolution

    This paper reimplements and extends a prior agent-based model of food web evolution. The earlier work attempted to replicate the results achieved by a system dynamics model of food web evolution, but failed to...

    Samuel Armstrong, Emma Norling in Multi-Agent-Based Simulation XXIII (2023)

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    Chapter and Conference Paper

    A Light-Weight Deep Residual Network for Classification of Abnormal Heart Rhythms on Tiny Devices

    An automatic classification of abnormal heart rhythms using electrocardiogram (ECG) signals has been a popular research area in medicine. In spite of reporting good accuracy, the available deep learning-based ...

    Rohan Banerjee, Avik Ghose in Machine Learning and Principles and Practi… (2023)

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    Chapter and Conference Paper

    Design and Development of a G-Code Generator for CNC Machine Tools Based on Augmented Reality (AR)

    Modern manufacturing systems rely on the utilization of Computer Numerical Control (CNC) for the manufacturing of products and components. By extension, engineers must be capable of programming machine tools (...

    Dimitris Mourtzis, Panagiotis Kaimasidis in Product Lifecycle Management. PLM in Trans… (2023)

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    Chapter and Conference Paper

    Intent Detection for Virtual Reality Architectural Design

    In the context of optimization and cycles reduction for product design in industry, digital collaborative tools have a major impact, allowing an early stage integration of multidisciplinary challenges and ofte...

    Romain Guillaume, Jérôme Pailhès in Product Lifecycle Management. PLM in Trans… (2023)

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    Chapter and Conference Paper

    BadDet: Backdoor Attacks on Object Detection

    Backdoor attack is a severe security threat which injects a backdoor trigger into a small portion of training data such that the trained model gives incorrect predictions when the specific trigger appears. Whi...

    Shih-Han Chan, Yinpeng Dong, Jun Zhu, **aolu Zhang in Computer Vision – ECCV 2022 Workshops (2023)

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    Chapter and Conference Paper

    Unrestricted Black-Box Adversarial Attack Using GAN with Limited Queries

    Adversarial examples are inputs intentionally generated for fooling a deep neural network. Recent studies have proposed unrestricted adversarial attacks that are not norm-constrained. However, the previous unr...

    Dongbin Na, Sangwoo Ji, Jong Kim in Computer Vision – ECCV 2022 Workshops (2023)

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    Chapter and Conference Paper

    A Reverse Design Framework for Modifiable-off-the-Shelf Embedded Systems: Application to Open-Source Autopilots

    The development of real-time embedded systems is usually preceded by an important design phase to ensure that functional and behavioural constraints are met. However, the modification of some systems, especial...

    Soulimane Kamni, Yassine Ouhammou, Emmanuel Grolleau in Model and Data Engineering (2023)

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    Chapter and Conference Paper

    School’s Out? Simulating Schooling Strategies During COVID-19

    Multi-agent based systems offer the possibility to examine the effects of policies down to specific target groups while also considering the effects on a population-level scale. To examine the impact of differ...

    Lukas Tapp, Veronika Kurchyna, Falco Nogatz in Multi-Agent-Based Simulation XXIII (2023)

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    Chapter and Conference Paper

    Italian Debate on Measles Vaccination: How Twitter Data Highlight Communities and Polarity

    Social media platforms such as Twitter, Facebook, and You-Tube had proven to be valuable sources of information. These platforms are a fruitful source of freely collectible public opinions. Due to the recent o...

    Cynthia Ifeyinwa Ugwu, Sofia Casarin in Machine Learning and Principles and Practi… (2023)

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    Chapter and Conference Paper

    Predicting Car Sale Time with Data Analytics and Machine Learning

    There is no doubt that marketing is an important step in Product Lifecycle Management (PLM) and obviously decreasing time-to-market is crucial to reduce storage costs and increase profit. This paper aims to im...

    Hamid Ahaggach, Lylia Abrouk, Sebti Foufou in Product Lifecycle Management. PLM in Trans… (2023)

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    Chapter and Conference Paper

    Positive Emotions for Responsible Consumption Through Product Design: A Review

    Stimulating positive emotional experiences in the user that result in a change to responsible consumption behavior is essential to achieve a balance between emotional, social, economic, and environmental aspec...

    Kassia Renata da Silva Zanão in Product Lifecycle Management. PLM in Trans… (2023)

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    Chapter and Conference Paper

    Accessibility of Multimedia Resources from Irish Universities for People with Epilepsy

    The young People with Epilepsy (PwE) felt difficulty accessing the video content due to flashes and flickering. Universities failed to check the accessibility of videos before posting them on their websites or...

    Mohammed Fakrudeen in Emerging Technologies in Computing (2023)

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    Chapter and Conference Paper

    Why Is the Video Analytics Accuracy Fluctuating, and What Can We Do About It?

    It is a common practice to think of a video as a sequence of images (frames), and re-use deep neural network models that are trained only on images for similar analytics tasks on videos. In this paper, we show...

    Sibendu Paul, Kunal Rao, Giuseppe Coviello in Computer Vision – ECCV 2022 Workshops (2023)

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    Chapter and Conference Paper

    Attribution-Based Confidence Metric for Detection of Adversarial Attacks on Breast Histopathological Images

    In this paper, we develop attribution-based confidence (ABC) metric to detect black-box adversarial attacks in breast histopathology images. Due to the lack of data for this problem, we subjected histopatholog...

    Steven L. Fernandes, Senka Krivic, Poonam Sharma in Computer Vision – ECCV 2022 Workshops (2023)

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    Chapter and Conference Paper

    Evaluation of Semantic Interoperability of Automotive Service API Models Based on Metamodels Similarity Metrics Using a Semi-automated Approach

    In recent years, map** of application software components’ ontologies semantically emerged as a big research challenge in automotive application domain that manipulates several cross-enterprise synergy knowl...

    Sangita De, Juergen Mottok, Přemek Brada in Emerging Technologies in Computing (2023)

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    Chapter and Conference Paper

    Digital Twin Application to Energy Consumption Management in Production: A Literature Review

    Economic and environmental issues that translate into energy costs and contaminations in production are growingly attracting attention from several parts and actors. Therefore, Energy Consumption Management (E...

    Daniele Perossa in Product Lifecycle Management. PLM in Trans… (2023)

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    Chapter and Conference Paper

    Trans-Compiler-Based Database Code Conversion Model for Native Platforms and Languages

    Cross-platform mobile application development frameworks are now widely used among software companies and developers. Despite their time and cost-effectiveness, they still lack the performance and experience o...

    Rameez Barakat, Moataz-Bellah A. Radwan, Walaa M. Medhat in Model and Data Engineering (2023)

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    Chapter and Conference Paper

    Fault Forecasting Using Data-Driven Modeling: A Case Study for Metro do Porto Data Set

    The demand for high-performance solutions for anomaly detection and forecasting fault events is increasing in the industrial area. The detection and forecasting faults from time-series data are one critical mi...

    Narjes Davari, Bruno Veloso, Rita P. Ribeiro in Machine Learning and Principles and Practi… (2023)

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