Results 51 to 60 of about 4,661,211 (242)
Advanced Intelligent Discovery, EarlyView.Matrix‐assisted laser desorption/ionization imaging‐based identification of reliable small molecule markers across heterogeneous glioblastoma cohorts is challenging with intensity‐only methods. We present spatially informed feature selection (SIFS), a spatially informed framework that prioritizes molecules consistently colocalizing with histopathology.
Shad A. Mohammed +15 more
wiley +1 more source
Measurement + Control, 2021 Under the Gaussian noise assumption, the probability hypothesis density (PHD) filter represents a promising tool for tracking a group of moving targets with a time-varying number.
Weijun Xu
doaj +1 more source
Convergence of the SMC implementation of the PHD filter [PDF]
, 2005 The probability hypothesis density (PHD) filter is a first moment approximation to the evolution of a dynamic point process which can be used to approximate the optimal filtering equations of the multiple-object tracking problem.
Singh, Sumeetpal S. (Sumeetpal Sidhu) +9 more
core +1 more source
Blood SOD1 Activity in ALS Patients Receiving Tofersen Treatment
Annals of Neurology, EarlyView.Objective The antisense oligonucleotide tofersen is the first disease‐modifying drug for SOD1‐related amyotrophic lateral sclerosis (ALS) and was approved because of its ability to reduce SOD1 protein and neurofilament levels. The effect of tofersen on SOD1 activity is unclear but of clinical relevance because homozygous SOD1 mutations, linked to ...
Katharina Goehring +18 more
wiley +1 more source
Online Adapting the Magnitude of Target Birth Intensity in the PHD Filter
Advances in Distributed Computing and Artificial Intelligence Journal, 2014 Capturing new targets that spontaneously appear in the multi-target tracking (MTT) scene requires a formation of TBI (target birth intensity) item in the PHD (probability hypothesis density) equations.
Tiancheng LI, Shudong SUN
doaj +1 more source
A Measurement Set Partitioning Algorithm Based on CFSFDP for Multiple Extended Target Tracking in PHD Filter [PDF]
Radioengineering, 2021 The extended target probability hypothesis density (ET-PHD) filter is a promising approach for multiple extended target tracking. One crucial problem of the ET-PHD filter is partitioning the measurement set.
Y. Gong, C. Cui
doaj
Space Target Tracking with the HRRP Characteristic-Aided Filter via Space-Based Radar
Remote Sensing, 2023 Approaching space target tracking is a typical and challenging mission in the space situational awareness (SSA) field. As the space-based radar is able to monitor the space targets of interest full-weather all-time, the space-based radar system is ...
Shuyu Zheng +4 more
doaj +1 more source
A PHD-Based Particle Filter for Detecting and Tracking Multiple Weak Targets
IEEE Access, 2019 Joint detection and tracking weak target is a challenging problem whose complexity is intensified when there are multiple targets present at the same time.
Zhichao Bao, Qiuxi Jiang, Fangzheng Liu
doaj +1 more source
A Student’s t Mixture Probability Hypothesis Density Filter for Multi-Target Tracking with Outliers
Sensors, 2018 In multi-target tracking, the outliers-corrupted process and measurement noises can reduce the performance of the probability hypothesis density (PHD) filter severely.
Zhuowei Liu +4 more
doaj +1 more source
Catalytic Sulfur‐Atom Transfer Enabled by a Bis(disulfide) Titanium Complex
Angewandte Chemie International Edition, EarlyView.Multi‐electron transformations with titanium are underexplored due to limited access to low‐valent precursors. The four‐electron activation of elemental sulfur by a Ti(IV) complex yields a rare titanium bis(disulfide) complex, enabling the efficient catalytic synthesis of isothiocyanates from isonitriles under mild conditions.
Sebastian Samir Cremer +3 more
wiley +1 more source