Results 41 to 50 of about 3,989 (204)

Gaussian mixture probability hypothesis density filter against measurement origin uncertainty

, 2020
The Gaussian mixture probability hypothesis density (GM-PHD) filter is a promising solution to the multi-target tracking (MU) problem, which successfully integrates target detection, tracking, and identification.
Kwon, Cheolhyeon, Kim, Dohyeung, Hwang, Inseok   +2 more
core   +1 more source

An Adaptive PHD Filter for Multitarget Tracking with Multispectral Data Fusion

Journal of Spectroscopy, 2015
In order to improve the detection and tracking performance of multiple targets from IR multispectral image sequences, the approach based on spectral fusion algorithm and adaptive probability hypothesis density (PHD) filter is proposed.
Guoliang Zhang, Chunling Yang, Yan Zhang
doaj   +1 more source

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, Libing Jiang, Qingwei Yang, Yingjian Zhao, Zhuang Wang   +4 more
doaj   +1 more source

Probability hypothesis density filter versus multiple hypothesis tracking

, 2004
The probability hypothesis density (PHD) filter is a practical alternative to the optimal Bayesian multi-target filter based on finite set statistics. It propagates only the first order moment instead of the full multi-target posterior.
Ba-Ngu Vo, Panta, K, Singh, S, Singh, SS, Vo, BN, Doucet, Arnaud, Doucet, A, Kusha Panta, Vo, B, Arnaud Doucet, ,, Sumeetpal Singh   +11 more
core   +1 more source

Endoplasmic Reticulum Geometry Dictates Neuronal Bursting via Calcium Store Refill Rates and Exposes Selective Neuronal Vulnerability

Advanced Science, EarlyView.
The ER's continuous tubular network is maintained by ER‐shaping proteins whose mutation or dysregulation contributes to neurodegenerative diseases. Here, we show that ER morphology sets the speed of Ca2+ store replenishment between firing events. Disrupting ER continuity slows intra‐ER Ca2+ redistribution from extracellular refill (SOCE) sites, driving
Valentina Davi, Pierre Parutto, Yuyi Zhang, Tasuku Konno, Cecile Crapart, Raquel Pereira, John P. Franklin, Mosab Ali Awadelkareem, Daniel C Maddison, Michael J. Devine, Edgar R. Gomes, Joseph Chambers, Elena Koslover, Edward Avezov   +13 more
wiley   +1 more source

Spatially Informed Feature Selection and Machine Learning in Matrix‐Assisted Laser Desorption/Ionization Imaging for Cohort‐Scale Molecular Tissue Phenomics in Glioblastoma

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, Denis Abu Sammour, Dirk C. Hoffmann, Philipp Sievers, Tobias Bausbacher, Melissa Hahn, Yasemin Ucal, Iris Mildenberger, Christiane A. Opitz, Stefan Schmidt, Michael Platten, Oliver Wasenmüller, Wolfgang Wick, Andreas von Deimling, Tobias Kessler, Carsten Hopf   +15 more
wiley   +1 more source

Investor Perception of ESG in Earnings Calls

Business Strategy and the Environment, EarlyView.
ABSTRACT This study examines how the communicator's role and the framing of ESG statements affect investor capital allocation in the context of earnings calls. Based on a virtual asset market experiment, the analysis identifies that the assurance and reinforcement of ESG messages have a positive effect of up to 8% on capital allocation, with especially
Felix Bachner
wiley   +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  

Improved GM-PHD Filter with Birth Intensity and Spawned Intensity Estimation Based on Trajectory Situation Feedback Control

Remote Sensing, 2022
The Gaussian Mixture Probability Hypothesis Density (GM-PHD) filter can effectively track multiple targets in a single scenario. However, for GM-PHD, unknown target behavior, e.g., target birth or target intersection, produces difficulties in terms of ...
Chao Zhang, Zhengzhou Li, Yong Zhu, Zefeng Luo, Tianqi Qin   +4 more
doaj   +1 more source

Supply Chain Network, ESG Scores and Financial Performance

Business Strategy and the Environment, EarlyView.
ABSTRACT This paper provides novel evidence on the role of supply chain networks in influencing firms' environmental, social and governance (ESG) scores and financial performance. Our analysis employs financial, board, ESG and supply chain data, resulting in an unbalanced panel of over 16,000 firm‐year observations from 3028 publicly traded US firms ...
Michail Filippidis, Renatas Kizys, Panagiotis Tzouvanas   +2 more
wiley   +1 more source