Results 81 to 90 of about 602,867 (155)
Metabolism in Tumor: Mechanisms and Therapeutic Perspectives
MedComm, Volume 7, Issue 9, September 2026.Tumor metabolic reprogramming converges on three hubs—the SREBP1/2–FASN–SCD1 lipogenic axis, the HIF‐1α–GLUT1–LDHA glycolytic axis, and the LDLR–SCARB1–LXR cholesterol system—which integrate transcriptional, epigenetic (histone lactylation, m6A), and microenvironmental inputs to generate metabolic plasticity, immune evasion, and therapy resistance ...
Jia‐Chen Cheng +6 more
wiley +1 more source
Retrodiction for Multitarget Tracking [PDF]
, 2009 Multi-Target Tracking (MTT), where the number of targets as well as their states are time-varying, concerns with the estimation of both the number of targets and the individual states from noisy sensor measurements, whose origins are unknown.
Nadarajah, N.
core
RNA‐Binding Proteins: Function, Biological Mechanisms, and Therapeutic Opportunities
MedComm, Volume 7, Issue 9, September 2026.RNA‐binding proteins (RBPs) regulate RNA stability, localization, translation, and splicing through intrinsic binding domains and interactions with diverse cellular partners. Their competitive and cooperative networks shape disease‐related RNA programs, especially in cancer.
Ling Li, Xiuli Yan, Qing Ji, Hui Zhang
wiley +1 more source
Spatio-Temporal Context for Robust Multitarget Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007 In multitarget tracking, the main challenge is to maintain the correct identity of targets even under occlusions or when differences between the targets are small. The paper proposes a new approach to this problem by incorporating the context information. The context of a target in an image sequence has two components: the spatial context including the
Nguyen, H.T., Ji, Q., Smeulders, A.W.M.
openaire +5 more sources
Cubature Information SMC-PHD for Multi-Target Tracking
Sensors, 2016 In multi-target tracking, the key problem lies in estimating the number and states of individual targets, in which the challenge is the time-varying multi-target numbers and states.
Zhe Liu, Zulin Wang, Mai Xu
doaj +1 more source
Distributed Data Association for Multitarget Tracking-A Mathematical Perspective [PDF]
, 2012 Target tracking is the technique of maintaining state estimates of one or more targets over a period of time. Multitarget tracking is concerned with the state estimation of an unknown number of moving targets.
Kalpana, B., Sangeetha, R.
core +1 more source
Improved Bearings-Only Multi-Target Tracking with GM-PHD Filtering
Sensors, 2016 In this paper, an improved nonlinear Gaussian mixture probability hypothesis density (GM-PHD) filter is proposed to address bearings-only measurements in multi-target tracking.
Qian Zhang, Taek Lyul Song
doaj +1 more source
Scalable Adaptive Multitarget Tracking Using Multiple Sensors
, 2016 In networked mobile multitarget tracking systems, parameters such as detection probabilities, clutter rates, and motion model parameters are often unknown and time-varying. Such parameter variability can seriously degrade the performance of a multitarget
Micheli, Michele +4 more
core
Local search heuristics for multi-index assignment problems with decomposable costs. [PDF]
The multi-index assignment problem (MIAP) with decomposable costs is a natural generalization of the well-known assignment problem. Applications of the MIAP arise for instance in the field of multi-target multi-sensor tracking.
Bandelt, H, Maas, A, Spieksma, Frederik
core
Uncertainty-Aware δ-GLMB Filtering for Multi-Target Tracking
Big Data and Cognitive ComputingThe δ-GLMB filter is an analytic solution to the multi-target Bayes recursion used in multi-target tracking. It extends the Generalised Labelled Multi-Bernoulli (GLMB) framework by providing an efficient and scalable implementation while preserving track
M. Hadi Sepanj +3 more
doaj +1 more source