Helmut Prendinger
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View article: Applying time delay convergent cross mapping to Bitcoin time series
Applying time delay convergent cross mapping to Bitcoin time series Open
This paper explores the applicability of Convergent Cross Mapping (CCM) and its extension, Time Delay Convergent Cross Mapping (TDCCM), to assess the causal relationships between Bitcoin, the S&P 500 index, and gold. Unlike conventional ca…
View article: Using Explainable Artificial Intelligence to Interpret Remaining Useful Life Estimation with Gated Recurrent Unit
Using Explainable Artificial Intelligence to Interpret Remaining Useful Life Estimation with Gated Recurrent Unit Open
In engineering, prognostics can be defined as the estimation of the remaining useful life of a system given current and past health conditions. This field has drawn attention from research, industry, and government as this kind of technolo…
View article: Rethinking Self-Attention for Multispectral Object Detection
Rethinking Self-Attention for Multispectral Object Detection Open
International audience
View article: Leveraging YOLO-World and GPT-4V LMMs for Zero-Shot Person Detection and Action Recognition in Drone Imagery
Leveraging YOLO-World and GPT-4V LMMs for Zero-Shot Person Detection and Action Recognition in Drone Imagery Open
In this article, we explore the potential of zero-shot Large Multimodal Models (LMMs) in the domain of drone perception. We focus on person detection and action recognition tasks and evaluate two prominent LMMs, namely YOLO-World and GPT-4…
View article: Aircraft Engine Bleed Valve Prognostics Using Multiclass Gated Recurrent Unit
Aircraft Engine Bleed Valve Prognostics Using Multiclass Gated Recurrent Unit Open
Prognostics and health management is an engineering discipline that aims to support system operation while ensuring maximum safety and performance. Prognostics is a key step of this framework, focusing on developing effective maintenance p…
View article: Detecting Human Actions in Drone Images Using YoloV5 and Stochastic Gradient Boosting
Detecting Human Actions in Drone Images Using YoloV5 and Stochastic Gradient Boosting Open
Human action recognition and detection from unmanned aerial vehicles (UAVs), or drones, has emerged as a popular technical challenge in recent years, since it is related to many use case scenarios from environmental monitoring to search an…
View article: Deep learning with RGB and thermal images onboard a drone for monitoring operations
Deep learning with RGB and thermal images onboard a drone for monitoring operations Open
This article describes the artificial intelligence (AI) component of a drone for monitoring and patrolling tasks associated with disaster relief missions in specific restricted disaster scenarios, as specified by the Advanced Robotics Foun…
View article: Classification prognostics approaches in aviation
Classification prognostics approaches in aviation Open
Traditionally, prognostics approaches to predictive maintenance have focused on estimating the remaining useful life of the equipment. However, from an industrial point of view, the goal is often not to predict the residual life but to det…
View article: Implementation and Analytics of the Distributed Eco-Driving Simulation iCO<sub>2</sub>
Implementation and Analytics of the Distributed Eco-Driving Simulation iCO<sub>2</sub> Open
We describe iCO2, a simulation platform for collecting driving behavior data. It is designed as the first massively multiplayer online game for mobile devices to practice eco-friendly driving. It facilitates the collection of large-scale d…
View article: Interface Design for Human-Machine Collaborations in Drone Management
Interface Design for Human-Machine Collaborations in Drone Management Open
Unmanned aerial vehicles (UAVs) operate with large degrees of autonomy when executing tasks from a ground-based controller. In this work, we design an (immersive) interface for drone management. Our interface supports operators in mission …
View article: Prognostics in Aeronautics with Deep Recurrent Neural Networks
Prognostics in Aeronautics with Deep Recurrent Neural Networks Open
Recurrent neural networks (RNNs) such as LSTM and GRU are not new to the field of prognostics. However, the performance of neural networks strongly depends on their architectural structure. In this work, we investigate a hybrid network arc…
View article: Presentation Agents That Adapt to Users' Visual Interest and Follow Their Preferences
Presentation Agents That Adapt to Users' Visual Interest and Follow Their Preferences Open
This research proposes an interactive presentation system that employs eye gaze as an intuitive and unobtrusive input modality. Eye movements are an excellent clue to users' attention, visual interest, and preference. By analyzing and inte…
View article: Multi-agent path finding for UAV traffic management: Robotics track
Multi-agent path finding for UAV traffic management: Robotics track Open
Unmanned aerial vehicles (UAVs) are expected to provide a wide range of services, whereby UAV fleets will be managed by several independent service providers in shared low-altitude airspace. One important element, or redundancy, for safe a…
View article: Prediction of dengue outbreaks based on disease surveillance, meteorological and socio-economic data
Prediction of dengue outbreaks based on disease surveillance, meteorological and socio-economic data Open
The out-of-sample validation showed poorer results than the in-sample validation, however it demonstrated ability in detecting outbreaks up-to one month ahead. We also determine that for the predicting dengue outbreaks within a district, t…
View article: UAV-Based Situational Awareness System Using Deep Learning
UAV-Based Situational Awareness System Using Deep Learning Open
Situational awareness by Unmanned Aerial Vehicles (UAVs) is important for many applications such as surveillance, search and rescue, and disaster response. In those applications, detecting and locating people and recognizing their actions …
View article: Pre-Flight Conflict Detection and Resolution for UAV Integration in Shared Airspace: Sendai 2030 Model Case
Pre-Flight Conflict Detection and Resolution for UAV Integration in Shared Airspace: Sendai 2030 Model Case Open
The increasing demand for services performed by Unmanned Aerial Vehicles (UAVs) requires the simulation of Unmanned Aircraft System Traffic Management (UTM) systems. In particular, Pre-Flight Conflict Detection and Resolution (CDR) methods…
View article: News-based trading strategies
News-based trading strategies Open
The marvel of markets lies in the fact that dispersed information is instantaneously processed and used to adjust the price of goods, services and assets. Financial markets are particularly efficient when it comes to processing information…
View article: Development of Delamination Detection System for Concrete Decks by Using Convolutional Neural Network
Development of Delamination Detection System for Concrete Decks by Using Convolutional Neural Network Open
Bridges in Japan, especially those managed by municipalities, deteriorate over time. Due to lack of civil engineers in municipalities, appropriate and automated assistance for degradation judgement is thought to be important for the concer…
View article: Decision support with text-based emotion recognition: Deep learning for affective computing
Decision support with text-based emotion recognition: Deep learning for affective computing Open
Emotions widely affect the decision-making of humans and, hence, affective computing takes emotional states into account with the goal of tailoring decision support to individuals. However, the accurate recognition of emotions within narra…
View article: Remaining useful life estimation in aeronautics: Combining data-driven and Kalman filtering
Remaining useful life estimation in aeronautics: Combining data-driven and Kalman filtering Open
Data-driven prognostics can be described in two sequential steps: a training stage, in which, the data-driven model is constructed based on observations; and a prediction stage, in which, the model is used to compute the end of life and re…
View article: IIIDYT at SemEval-2018 Task 3: Irony detection in English tweets
IIIDYT at SemEval-2018 Task 3: Irony detection in English tweets Open
In this paper we introduce our system for the task of Irony detection in English tweets, a part of SemEval 2018. We propose representation learning approach that relies on a multi-layered bidirectional LSTM, without using external features…
View article: A Case for the Use of Data-driven Methods in Gas Turbine Prognostics
A Case for the Use of Data-driven Methods in Gas Turbine Prognostics Open
The goal of data-driven methods is to remove dependence on classical models of structured expert judgment and draw insights to causal relationships directly from the data. This paper investigates the potential of using data-driven methods,…
View article: Okutama-Action: An Aerial View Video Dataset for Concurrent Human Action Detection
Okutama-Action: An Aerial View Video Dataset for Concurrent Human Action Detection Open
Despite significant progress in the development of human action detection datasets and algorithms, no current dataset is representative of real-world aerial view scenarios. We present Okutama-Action, a new video dataset for aerial view con…
View article: Improving Sentiment Analysis with Document-Level Semantic Relationships from Rhetoric Discourse Structures
Improving Sentiment Analysis with Document-Level Semantic Relationships from Rhetoric Discourse Structures Open
Conventional sentiment analysis usually neglects semantic information between (sub-)clauses, as it merely implements so-called bag-of-words approaches, where the sentiment of individual words is aggregated independently of the document str…
View article: Improved Time-Based Maintenance in Aeronautics with Regressive Support Vector Machines
Improved Time-Based Maintenance in Aeronautics with Regressive Support Vector Machines Open
Baptista, M., Medeiros, I. P. de, Malere, J. P., Prendinger, H., Nascimento Jr., C. L., & Henriques, E. (2016). Improved Time-Based Maintenance in Aeronautics with Regressive Support Vector Machines. Annual Conference of the PHM Society, 8…