Managing attendance in educational institutions is often a time-consuming and error-prone task, with traditional methods like roll calls or sign-in sheets being inefficient and susceptible to proxy attendance. This pa...
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The proceedings contain 154 papers. The topics discussed include: transient stability analysis of power system considering multiple inverter aggregation model;development of the safeguard companion for secondary safet...
ISBN:
(纸本)9798331533694
The proceedings contain 154 papers. The topics discussed include: transient stability analysis of power system considering multiple inverter aggregation model;development of the safeguard companion for secondary safety measures of relay protection;an open interconnection system for computing power based on service mesh;securing distributed power dispatching systems: a framework for cybersecurity and 5G integration;utilizing deep belief networks for power system state estimation and anomaly detection;fire detection approach for 10kV distribution room based on spatial perception and hybrid attention mechanism;research on the application of information sharing technology in distributed photovoltaic aggregation optimization control strategy;and construction and optimization of key quality problem graph of power equipment based on association rule mining.
This research investigates the novel application of Dynamic Game Balancing (DGB) techniques in the context of a hybrid chess-survival roguelike game, a unique combination of genres not widely explored in previous stud...
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User identification is explored through EEG-based biometric analysis using different auditory stimuli, using the distinctiveness and security of EEG signals for reliable biometric authentication. The impact on system ...
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In today's society, the output of garbage is more and more, and people are indispensable for the management and classification of garbage. The recycling of garbage is also a hot topic today. The project will propo...
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In this paper, based on data mining technology, Fp-growth algorithm and Apriori algorithm are used to mine and analyze traffic accident features. The correlation between the causes and severity of traffic accidents is...
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In the on-orbit space scenario, the accurate measurement of the position and attitude information of the space container is related to whether the spacecraft can accurately capture it. In view of the problem that the ...
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The proceedings contain 10 papers. The special focus in this conference is on Internet of Everything. The topics include: Parallelism Everywhere: The Internet of Everything and Parallel Computing;ioV Simulation Archit...
ISBN:
(纸本)9783031844256
The proceedings contain 10 papers. The special focus in this conference is on Internet of Everything. The topics include: Parallelism Everywhere: The Internet of Everything and Parallel Computing;ioV Simulation Architecture for Software-Defined Vehicular Fog Network Orchestration;toward modeling of Flooding Attacks Targeting Massive IoT Networks;using the Internet of Everything for Machine-Learning-Based computersystem Design and Optimization;enhancing Urban Freight Delivery: A Machine Learning Approach to Predicting Delivery Speed;soil-Based Thermoelectric Energy Harvesting system for IoT Devices;a Methodology for Measuring Selected Performance Parameters of Smartphone-Based Vehicle-to-Pedestrian and Pedestrian-to-Infrastructure Communication;wordPress Architecture Modernization Projects.
The proceedings contain 21 papers. The special focus in this conference is on Longitudinal Disease Tracking and modeling with Medical Images and Data. The topics include: Disease Progression Modelling and Stratif...
ISBN:
(纸本)9783031845246
The proceedings contain 21 papers. The special focus in this conference is on Longitudinal Disease Tracking and modeling with Medical Images and Data. The topics include: Disease Progression Modelling and Stratification for Detecting Sub-trajectories in the Natural History of Pathologies: application to Parkinson’s Disease Trajectory Modelling;back to the Future: Challenges of Sparse and Irregular Medical Image Time Series;Individualized Multi-horizon MRI Trajectory Prediction for Alzheimer’s Disease;towards Longitudinal Characterization of Multiple Sclerosis Atrophy Employing SynthSeg Framework and Normative modeling;segHeD: Segmentation of Heterogeneous Data for Multiple Sclerosis Lesions with Anatomical Constraints;Longitudinal Segmentation of MS Lesions via Temporal Difference Weighting;registration of Longitudinal Liver Examinations for Tumor Progress Assessment;Tracking Lesion Evolution Using a Boundary Enhanced Approach for MS Change Segmentation (BEAMS);a Radiological-Based Coordinate system for the Human Body: A Proof-of-Concept;language Models Meet Anomaly Detection for Better Interpretability and Generalizability;A Diffusion Model Embedded WCSAU-Net for 3D MRI Brain Tumor Segmentation;predicting Human Brain States with Transformer;Cross-Modality Image Quality Prediction for Time-Resolved CT from Breathing Signals;RATNUS: Rapid, Automatic Thalamic Nuclei Segmentation Using Multimodal MRI Inputs;HyperMM: Robust Multimodal Learning with Varying-Sized Inputs;HEMIT: H&E to Multiplex-Immunohistochemistry Image Translation with Dual-Branch Pix2pix Generator;Physics-Informed Latent Diffusion for Multimodal Brain MRI Synthesis;medPromptX: Grounded Multimodal Prompting for Chest X-Ray Diagnosis;predicting Stroke Through Retinal Graphs and Multimodal Self-supervised Learning;multimodality for Diagnosis of Asian Choroidal Vasculopathy: Results from a Novel Dataset and Deep-Learning Experiments;multimodality Frequency Feature Customized Learning for Pediatric Ventricu
Event data is a collection of recorded events that capture performed actions and observed states of business processes supported by information systems. It describes the times of event occurrences, event types, event ...
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ISBN:
(纸本)9783031758713;9783031758720
Event data is a collection of recorded events that capture performed actions and observed states of business processes supported by information systems. It describes the times of event occurrences, event types, event attributes, and process cases of events identified by one or more objects the events relate to. Process mining uses event data to analyze and improve the processes in organizations. These processes are often performed by actors or agents, such as employees, resources, and systems, in different roles within organizations. In this paper, we present Agent system Event Data (ASED), a new type of event data that describes business processes as interactions of agents. ASED provides a new scope for analyzing individual agents involved in multiple processes, interactions of agents, and systems of agents that enact the processes. We formalize ASED as a conceptual data model, discuss its dimensional data modeling aspects, and argue that event data, in general, benefits from dimensional representation. We review existing event data types and discuss the complementary nature of existing models and ASED. Finally, we validate ASED by demonstrating its ability to express existing business process compliance rules, significantly expanding the scope of compliance analysis addressed by existing data models.
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