Unsupervised domain adaptive object detection aims to adapt a well-trained detector from its original source with rich labeled data new target unlabeled data. Previous works focus on improving the adaptability of region-based detectors, e.g. , Faster-RCNN, through matching cross-domain instance...

The explicit semi-Lagrangian method for solution of Lagrangian transport equations as developed in Natarajan and Jacobs (2020) is adopted the stochastic differential that consistent with Discontinuous Spectral Element Method (DSEM) approximations Eulerian conservation laws. extends favorable properties DSEM include its high-order accuracy, local boundary fitted high performance on parallel plat...

A Flexible Machine Learning Environment for Steady State Security Assessment of Power Systems D. D. Semitekos, N. M. Avouris, G. B. Giannakopoulos University of Patras, ECE Department, GR-265 00 Rio Patras, Greece Email: {dsem, N.Avouris, G.B.Giannakopoulos } @ee.upatras.gr Abstract Machine Learning techniques have been applied to power system analysis for a number of years. The need for a flex...

Recent advances in modeling and analysis have enabled statistical tests of dynamical systems based theories for behavioral phenomena. The use of statistical models to test proposed dynamical or self–regulating explanations of intraindividual variability has the potential to lead to new and more tightly focused understandings of cognitive, developmental and social systems. This chapter provides ...

Cyber-Physical Systems (CPS) [1] are engineered systems that require tight interaction between physical and computational components. Designing a CPS is highly challenging [2] because these systems are inherently complex, need significant effort to describe and evaluate a vast set of crossdisciplinary interactions, and require seamless meshing of physical elements with corresponding software ar...

There is a relatively consistent negative relationship between adolescent depressive symptoms and educational achievement (e.g., grade point average [GPA]). However, the causal direction for this association is less certain due to the lack of longitudinal data with both indicators measured across at least 2 time periods and due to the lack of application of more sophisticated contemporary stati...

A novel hand-arm system (HASy), being developed in DLR as an anthropomorphic system, requires as an input parameter the realistic instantaneous joint stiffness of human upper limb in different postures and movements. Because muscles in our musculokeletal system are the active component (actuator), joint stiffness is driven by muscle stiffness. In this thesis, the theoretical fundamentals in ext...

Global sea-level rise has been drawing increasingly greater attention in recent years, as it directly impacts the livelihood and sustainable development of humankind. Our research focuses on identifying causal factors pathways sea level changes (both global regional) subsequently predicting magnitude such changes. To this end, we have designed a novel analysis pipeline including three sequentia...

Little is known about the daily associations between affect, worry, and sleep problems, previous studies did not distinguish differences persons from within persons. We examined bidirectional of unpleasant affect (UA), pleasant (PA), worry with problems at both between- within-persons level. The data came a web-based diary study called “HowNutsAreTheDutch”, in which 1,165 respondents filled out...

Abstract In an empirical, dynamic simultaneous equation model (DSEM) for Brazil with 22 equations and variables, we show that foreign income is a driver of economic growth besides semi-endogenous technical change. With balance-of-payments constraint endogenous terms trade, the major mechanism (i) world GDP driving exports, (ii) exports paying imported capital goods, which (iii) enter production...