A5059680425- Particle physics theoretical and experimental studies
- Quantum Chromodynamics and Particle Interactions
- High-Energy Particle Collisions Research
- Robotics and Sensor-Based Localization
- Advanced Vision and Imaging
- Particle Detector Development and Performance
- 3D Surveying and Cultural Heritage
- Advanced Image and Video Retrieval Techniques
- Robotic Path Planning Algorithms
- Anomaly Detection Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Adversarial Robustness in Machine Learning
- Neurobiology of Language and Bilingualism
- Stuttering Research and Treatment
- Data Management and Algorithms
- Nuclear physics research studies
- Remote Sensing and LiDAR Applications
- Neutrino Physics Research
- Advanced Neural Network Applications
- Computational Physics and Python Applications
- Single-cell and spatial transcriptomics
- Extracellular vesicles in disease
- Brain Tumor Detection and Classification
- Black Holes and Theoretical Physics
- Immune responses and vaccinations
Robert Bosch (United States)
2024
University of Pittsburgh
2023-2024
UPMC Hillman Cancer Center
2022-2024
University of Pittsburgh Medical Center
2022-2024
The University of Texas at San Antonio
2017-2023
BMW (Germany)
2023
University of Waterloo
2012-2018
Technical University of Munich
2018
Southern Methodist University
2017
University of Arizona
2008-2013
Nowadays, deep neural networks are widely used in mission critical systems such as healthcare, self-driving vehicles, and military which have direct impact on human lives. However, the black-box nature of challenges its use applications, raising ethical judicial concerns inducing lack trust. Explainable Artificial Intelligence (XAI) is a field (AI) that promotes set tools, techniques, algorithms can generate high-quality interpretable, intuitive, human-understandable explanations AI...
The process $\gamma \gamma \to \phi \jpsi$ is measured for $\phi masses between threshold and 5 GeV/${\it c}^2$, using a data sample of 825 fb$^{-1}$ collected with the Belle detector. A narrow peak $8.8^{+4.2}_{-3.2}$ events, significance 3.2 standard deviations including systematic uncertainty, observed. mass natural width structure (named X(4350)) are to be $(4350.6^{+4.6}_{-5.1}(\rm{stat})\pm 0.7(\rm{syst})) \hbox{MeV}/{\it c}^2$ $(13^{+18}_{-9}(\rm{stat})\pm 4(\rm{syst})) \hbox{MeV}$,...
Abstract Motivation Molecular Regulatory Pathways (MRPs) are crucial for understanding biological functions. Knowledge Graphs (KGs) have become vital in organizing and analyzing MRPs, providing structured representations of complex interactions. Current tools mining KGs from biomedical literature inadequate capturing complex, hierarchical relationships contextual information about MRPs. Large Language Models (LLMs) like GPT-4 offer a promising solution, with advanced capabilities to decipher...
The Normal Distributions Transform (NDT) scan registration algorithm divides a point cloud using rectilinear voxel cells, then models the points within each cell as set of Gaussian distributions. A nonlinear optimization is performed in order to register scans, however voxel-based approach results ill-defined cost function derivatives cross boundaries. In this work, Segmented Region Growing NDT (SRG-NDT) variant proposed, which first removes ground from scan, uses natural features...
The normal distributions transform (NDT) scan registration algorithm has been shown to produce good results, however, a tendency converge local minimum if the initial parameter error is large. In order improve convergence basin for NDT, multi-scale k-means NDT (MSKM-NDT) variant proposed. This approach divides point cloud using clustering and performs optimization step at multiple scales of cluster sizes. guarantees that will converge, as it resolves issue discontinuities in cost function...
We search for the flavor-changing neutral current decays D0\to mu+mu- and e+e-, lepton-flavor violating e\pm mu\mp using 660 fb^-1 of data collected with Belle detector at KEKB asymmetric-energy e+e- collider. find no evidence any these decays. obtain significantly improved upper limits on branching fractions: B(D0\to mu+mu-)<1.4x10-7, e+e-)<7.9x10-8, e+mu-)+B(D0\to mu+e-)<2.6x10-7 90% confidence level.
Abstract This paper presents algorithmic advances and field trial results for autonomous exploration proposes a solution to perform simultaneous localization mapping (SLAM), complete coverage, object detection without relying on GPS or magnetometer data. We demonstrate an integrated approach the problem, we make specific contributions in terms of mapping, planning, sample strategies that run real‐time our custom platform. Field tests reliable performance each these three main components...
Despite intensive studies during the last 3 years, pathology and underlying molecular mechanism of coronavirus disease 2019 (COVID-19) remain poorly defined. In this study, we investigated spatial single-cell cellular features postmortem COVID-19 lung tissues using in situ sequencing (ISS). We detected 10 414 863 transcripts 221 genes whole-slide segmented them into 1 719 459 cells that were mapped to 18 major parenchymal immune cell types, all which infected by SARS-CoV-2. Compared with...
We have searched for $CP$ violation in the charmed meson decays ${D}_{(s)}^{+}\ensuremath{\rightarrow}{K}_{S}^{0}{\ensuremath{\pi}}^{+}$ and ${D}_{(s)}^{+}\ensuremath{\rightarrow}{K}_{S}^{0}{K}^{+}$ using $673\text{ }\text{ }{\mathrm{fb}}^{\ensuremath{-}1}$ of data collected with Belle detector at KEKB asymmetric-energy ${e}^{+}{e}^{\ensuremath{-}}$ collider. No evidence is observed. report most sensitive asymmetry measurements to date these decays:...
We present a study of ${\ensuremath{\tau}}^{\ensuremath{-}}\ensuremath{\rightarrow}{\ensuremath{\pi}}^{\ensuremath{-}}{\ensuremath{\pi}}^{+}{\ensuremath{\pi}}^{\ensuremath{-}}{\ensuremath{\nu}}_{\ensuremath{\tau}}$, ${\ensuremath{\tau}}^{\ensuremath{-}}\ensuremath{\rightarrow}{K}^{\ensuremath{-}}{\ensuremath{\pi}}^{+}{\ensuremath{\pi}}^{\ensuremath{-}}{\ensuremath{\nu}}_{\ensuremath{\tau}}$,...
We present measurements of the tWb coupling form factors using information from electroweak single top quark production and helicity W bosons decays in ttbar events. set upper limits on anomalous data collected with D0 detector at Tevatron ppbar collider corresponding to an integrated luminosity 5.4 fb^-1.
The Normal Distributions Transform (NDT) scan registration algorithm models the environment as a set of Gaussian distributions and generates Gaussians by discretizing into voxels. With standard approach, NDT has tendency to have poor convergence performance for even modest initial transformation error. In this work, segmented greedy cluster (SGC-NDT) variant is proposed, which uses natural features in generate clusters algorithm. By segmenting ground plane clustering remaining features,...
Autism spectrum disorder is a developmental characterized by significant social, communication, and behavioral challenges. Individuals diagnosed with autism, intellectual, disabilities (AUIDD) typically require long-term care targeted treatment teaching. Effective of AUIDD relies on efficient careful observations done trained applied analysts (ABAs). However, this process overburdens ABAs requiring the clinicians to collect analyze data, identify problem behaviors, conduct pattern analysis...
The process e+e−→K+K−J/ψ is observed for the first time via initial-state radiation. cross section of center-of-mass energies between threshold and 6.0 GeV measured using 673 fb−1 data collected with Belle detector on off Υ(4S) resonance. No significant signal Y(4260)→K+K−J/ψ observed, we determine B(Y(4260)→K+K−J/ψ)Γ(Y(4260)→e+e−)<1.2 eV/c2 at a 90% confidence level. We also find evidence e+e−→K0SK0SJ/ψ in same sample.Received 17 September...
Deep feature learning methods have been aggressively applied in the field of music tagging retrieval Genre categorization, mood classification, and chord detection are most common tags from local spectral to temporal structure. Convolutional Neural networks (CNNs) using kernels extract features that different levels hierarchy while Recurrent Networks (RNNs) discover global understand context, CRNN architectures as a powerful utilize benefits both CNN RNN structures. In this article structure...
Autonomous landing of quad rotor UAV on a maritime vessel is challenging task, as low cost sensors, unknown movements the surface, and external disturbances make it difficult to generate relative pose estimate with sufficient accuracy for landing. In this work, we propose an architecture that avoids sensor limitations while allowing accurate estimation, even in presence wind disturbances. The final sequence performed entirely body-fixed inertial frame so noisy measurements from GPS...
A key goal of cognitive neuroscience is to better understand how dynamic brain activity relates behavior. Such dynamics, in terms spatial and temporal patterns activity, are directly measured with neurophysiological methods such as EEG, but can also be indirectly expressed by the body. Autonomic nervous system best-known example, but, muscles eyes face index activity. Mostly parallel lines artificial intelligence research show that EEG facial both encode information about emotion, pain,...
We report a search for the decays $B^0\to K^{*0} \overline{K}{}^{*0}$ and K^{*0}$. also measure other charmless decay modes with $K^+\pi^-K^-\pi^+$ $K^{+}\pi^{-}K^{+}\pi^{-}$ final states. The results are obtained from data sample containing $657 \times 10^6$ $B \overline B$ pairs collected Belle detector at KEKB asymmetric-energy $e^+e^-$ collider. set upper limits on branching fractions \kstarbar$ K^{*0}$ of $0.81 10^{-6}$ $0.20\times 10^{-6}$, respectively, 90% confidence level.
This paper focuses on convolution neural network quantization problem. The has a distinct stage of data conversion from floating-point into integer-point numbers. In general, the process is associated with reduction matrix dimension via limited precision However, training and inference stages deep learning are by space memory variety factors including programming complexity even reliability system. On whole becomes more popular due to significant impact performance minimal accuracy loss....
We have searched for B_{s}^{0}->hh decays, where h stands a charged or neutral kaon, pion. These results are based on 23.6 fb^{-1} data sample collected with the Belle detector \Upsilon(5S) resonance at KEKB asymmetric-energy e^{+}e^{-} collider, containing 1.25x10^6 B_{s}^{(*)}\bar{B}_{s}^{(*)} events. observe decay B_{s}^{0}->K^{+}K^{-} and measure its branching fraction, \mathcal{B}(B_{s}^{0}->K^{+}K^{-}) = [3.8_{-0.9}^{+1.0}(\mathrm{stat})\pm 0.5(\mathrm{syst})\pm 0.5(f_s)] \times...
Although many state-of-the-art visual SLAM algorithms use keyframes to help alleviate the computational requirements of performing online bundle adjustment, little consideration is taken for specific keyframe selection. In this work, we propose two entropy based methods which aim insert that will directly improve system's ability localize. The first approach inserts on cumulative point reduction in existing map, while second uses predicted flow discrepancy select best initializes new...
Multi-camera clusters used for visual SLAM assume a fixed calibration between the cameras, which places many limitations on its performance, and directly excludes all configurations where camera in cluster is mounted to moving component. In this work, we present method dynamic multi-camera clusters, one or more of cameras an actuated mechanism, such as gimbal robotic manipulator. Our approach parametrizes mechanism using Denavit-Hartenberg convention, then determines parameters allow...