Class imbalance exists in many real-life applications. Classification of an imbalanced dataset without pre-processing is more complex. Existing literature has numerous solutions to get rid of this problem either throu...
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Spotting the start and end frames of macro- and micro-expression in untrimmed long videos(i.e. Macro- and Micro-Expression Spotting, shorted by M2ES) is extremely challenging due to the significant interval scale vari...
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In the classical principal-agent model, the principal delegates a task to an agent who takes an action that is unobservable to the principal and that is costly. We examine this issue within a Bayesian framework where ...
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Let G=(V,E) be an undirected complete graph on kn vertices. Each edge is associated with a non-negative weight. The edge weights satisfies the triangle inequality. A k-cycle partitioning is a set of n vertex-disjoint ...
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computer vision techniques are on the rise for industrial applications, like process supervision and autonomous agents, e.g., in the healthcare domain and dangerous environments. While the general usability of these t...
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In recent years, emotional speech synthesis techniques have attracted considerable interest because of their wide-ranging potential applications. However, when confronted with datasets containing emotional attributes,...
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The resiliency of criminal networks against law enforcement interventions has driven researchers to investigate methods of creating accurate simulated criminal networks. Despite these efforts, insights reaching law en...
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ISBN:
(纸本)9783031637582;9783031637599
The resiliency of criminal networks against law enforcement interventions has driven researchers to investigate methods of creating accurate simulated criminal networks. Despite these efforts, insights reaching law enforcement agencies remain general and insufficient, warranting a new approach. Therefore, we created CrimeSeen - an interactive visualization and simulation environment for exploring criminal network dynamics using computational models. CrimeSeen empowers law enforcement agencies with the possibility to independently test specific scenarios and identify the most effective disruption strategy before deploying it. CrimeSeen comprises of three components: Citadel, a web-based network visualization and simulation tool serving as the interface;the model, defining rules for criminal network dynamics over time, with the Criminal Cocaine Replacement Model as the use-case in this project;and the simulator, connecting the model and interface and enhancing their functionality through transformations, triggers, and statistics. CrimeSeen was evaluated with sequential usability testing, revealing a positive trend in effectiveness and efficiency over time, with mean scores exceeding 80%. However, user satisfaction did not significantly change and remained below the average for web applications, prompting recommendations for future work.
Machine-assisted photo identification processes require significant amounts of data for each member of a population of interest but offer the possibility to alleviate a significant amount of manual effort. Gathering s...
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Falls frequently present substantial safety hazards to those who are alone, particularly the elderly. Deploying a rapid and proficient method for detecting falls is a highly effective approach to tackle this concealed...
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Previous studies have successfully demonstrated agile and robust locomotion in challenging terrains for quadrupedal robots. However, the bipedal locomotion mode for quadruped robots remains unverified. This paper expl...
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