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With the increased availability of condition monitoring data and the increased complexity of explicit system physics-based models, the application of data-driven approaches for fault detection and isolation has recently grown. While…

Systems and Control · Electrical Eng. & Systems 2020-01-01 Manuel Arias Chao , Chetan Kulkarni , Kai Goebel , Olga Fink

Defects are a universal feature of crystalline solids, dictating the key properties and performance of many functional materials. Given their crucial importance yet inherent difficulty in measuring experimentally, computational methods…

The concept of rejecting the null hypothesis for definitively detecting a signal was extended to relaxation spectrum space for multiexponential reconstruction. The novel test was applied to the problem of detecting the myelin signal, which…

General Physics · Physics 2009-11-13 Keith S Cover

Recently, deep self-training approaches emerged as a powerful solution to the unsupervised domain adaptation. The self-training scheme involves iterative processing of target data; it generates target pseudo labels and retrains the network.…

Computer Vision and Pattern Recognition · Computer Science 2020-12-10 Inkyu Shin , Sanghyun Woo , Fei Pan , InSo Kweon

Due to the contribution of drug-target binding kinetics to drug efficacy, there is a high level of interest in developing methods to predict drug-target binding kinetic parameters. During the review period, a wide range of enhanced sampling…

Quantitative Methods · Quantitative Biology 2020-08-10 Ariane Nunes-Alves , Daria B. Kokh , Rebecca C. Wade

Signal loss is the main limitation on tracking/vertexing performance due to radiation damage effect to hybrid pixel detectors when irradiated at fluences expected at High Luminosity LHC (HL-LHC). It is important to have reliable predictions…

High Energy Physics - Experiment · Physics 2025-06-13 Marco Bomben

In this letter, we present a neural field-based real-time monocular mapping framework for accurate and dense Simultaneous Localization and Mapping (SLAM). Recent neural mapping frameworks show promising results, but rely on RGB-D or pose…

Robotics · Computer Science 2023-12-18 Wei Zhang , Tiecheng Sun , Sen Wang , Qing Cheng , Norbert Haala

Cluster dynamical mean field calculations based on 2, 4, 8 and 16 site clusters are used to analyze the doping-driven metal-insulator transition in the two dimensional Hubbard model. Comparison of results obtained on different clusters…

Strongly Correlated Electrons · Physics 2010-10-04 Emanuel Gull , Michel Ferrero , Olivier Parcollet , Antoine Georges , Andrew J. Millis

Sampling-based model predictive control methods, such as Model Predictive Path Integral (MPPI), offer derivative-free optimization and robustness in complex robotic systems. However, standard MPPI relies on cost-based soft penalties that…

Robotics · Computer Science 2026-05-26 Seulchan Lee , Sanghyun Kim

Autonomous docking remains one of the most challenging maneuvers in marine robotics, requiring precise control and robust perception in confined spaces. This paper presents a novel approach integrating Model Predictive Path Integral(MPPI)…

Robotics · Computer Science 2025-01-17 Akash Vijayakumar , Atmanand M A , Abhilash Somayajula

The in-plane London penetration depth, $\Delta\lambda(T)$, was measured using a tunnel diode resonator in single crystals of Ba$_{1-x}$K$_x$Fe$_2$As$_2$ for five doping levels $x$ ranging from underdoped, $T_c$=11 K ($x$=0.17), to optimally…

Superconductivity · Physics 2011-05-12 H. Kim , M. A. Tanatar , Bing Shen , Hai-Hu Wen , R. Prozorov

During the second LHC long shutdown (LS2) the Inner Tracking System (ITS) of ALICE (A Large Ion Collider Experiment) will be replaced by seven layers of CMOS Monolithic Active Pixel Sensors (MAPS). The latest innovations in silicon imaging…

Nuclear Experiment · Physics 2020-05-01 D. Andreou

Multispectral pedestrian detection has gained significant attention in recent years, particularly in autonomous driving applications. To address the challenges posed by adversarial illumination conditions, the combination of thermal and…

Computer Vision and Pattern Recognition · Computer Science 2024-11-07 Arunkumar Rathinam , Leo Pauly , Abd El Rahman Shabayek , Wassim Rharbaoui , Anis Kacem , Vincent Gaudillière , Djamila Aouada

In the classical tracking-by-detection (TBD) paradigm, detection and tracking are separately and sequentially conducted, and data association must be properly performed to achieve satisfactory tracking performance. In this paper, a new…

Computer Vision and Pattern Recognition · Computer Science 2024-03-25 Xiyang Wang , Chunyun Fu , Jiawei He , Mingguang Huang , Ting Meng , Siyu Zhang , Hangning Zhou , Ziyao Xu , Chi Zhang

Tracking dense 3D motion from monocular videos remains challenging, particularly when aiming for pixel-level precision over long sequences. We introduce DELTA, a novel method that efficiently tracks every pixel in 3D space, enabling…

Computer Vision and Pattern Recognition · Computer Science 2025-03-03 Tuan Duc Ngo , Peiye Zhuang , Chuang Gan , Evangelos Kalogerakis , Sergey Tulyakov , Hsin-Ying Lee , Chaoyang Wang

Data-driven decompositions are becoming essential tools in fluid dynamics, allowing for tracking the evolution of coherent patterns in large datasets, and for constructing low order models of complex phenomena. In this work, we analyze the…

Fluid Dynamics · Physics 2020-04-15 M. A. Mendez , M. Balabane , J. -M. Buchlin

ALDO2 is a multi-function, adjustable, low dropout linear regulator designed in onsemi I3T80 0.35~$\mu$m HV CMOS technology for use in HEP detectors that adopt silicon photomultipliers (SiPMs). The chip features four independent regulators,…

Instrumentation and Detectors · Physics 2022-08-31 Paolo Carniti , Claudio Gotti , Gianluigi Pessina

ART$^2$ is a 3D multi-wavelength Monte Carlo radiative transfer (RT) code that couples continuum and emission lines to track the propagation of photons and their interactions with the interstellar medium (ISM). The previous version of…

Astrophysics of Galaxies · Physics 2020-03-25 Yuexing Li , Ming F. Gu , Hidenobu Yajima , Qirong Zhu , Moupiya Maji

Multibody simulation with frictional contact has been a challenging subject of research for the past thirty years. Rigid-body assumptions are commonly used to approximate the physics of contact, and together with Coulomb friction, lead to…

Robotics · Computer Science 2020-04-21 Alejandro M. Castro , Ante Qu , Naveen Kuppuswamy , Alex Alspach , Michael Sherman

Using a new variant of photoelectron spectroscopy, we measure the homogeneous near-nodal pairing ($\Delta$) and pair-breaking self-energy ($\Gamma_S$) processes for a wide range of doping levels of Bi$_2$Sr$_2$CaCu$_2$O$_{8+\delta}$. For…