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92,298 Result(s)
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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 –...
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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...
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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...
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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 ...
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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 (...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...