Results 121 to 130 of about 183,753 (306)
Multi-target Multi-Bernoulli Tracking and Joint Multi-target Estimator [PDF]
, 2017 This dissertation concerns with the formulation of an improved multi-target multi-Bernoulli (MeMBer) filter and the use of the joint multi-target (JoM) estimator in an effective and efficient manner for a specific implementation of MeMBer filters.
Baser, Erkan
core
Towards large scale multi-target tracking
, 2014 Multi-target tracking is intrinsically an NP-hard problem and the complexity of multi-target tracking solutions usually do not scale gracefully with problem size.
Ba-Ngu Vo +9 more
core +1 more source
Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites
Advanced Functional Materials, EarlyView.A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou +5 more
wiley +1 more source
Remote SensingJoint detection and tracking of weak underwater targets are challenging problems whose complexity is intensified when the target is disturbed by reverberation.
Wenrong Yue, Feng Xu, Juan Yang
doaj +1 more source
Advanced Functional Materials, EarlyView.This paper presents a digital microfluidics‐based technique for transferring and reconfiguring soft nanomembranes. Laser‐machined nanothin membranes are picked up, transported, and aligned via tailored surface tension and the actuation of water droplets, enabling the development of flexible electronics, the integration of functional materials on 3D ...
Quang Anh Nguyen +15 more
wiley +1 more source
Advanced Functional Materials, EarlyView.Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone +8 more
wiley +1 more source
Ultrasensitive Anti‐Stokes Luminescence Thermometry in Transition Metal Dichalcogenide Monolayers
Advanced Functional Materials, EarlyView.We demonstrate a highly sensitive nanothermometer using anti‐Stokes photoluminescence, also known as photoluminescence upconversion (UPL), in monolayer tungsten disulfide. A strong resonantly enhanced UPL is observed, confirming the central role of optical phonons in the PL upconversion mechanism.
Sharada Nagarkar +6 more
wiley +1 more source
Unraveling the Electronic Structure of Silicon Vacancy Centers in 4H‐SiC
Advanced Functional Materials, EarlyView.The electronic structure of the silicon vacancy in 4H‐SiC is probed via transient absorption spectroscopy, uncovering previously inaccessible excited states of the quartet and doublet spin channels, including the V2' transition. In combination with theoretical analysis, a comprehensive picture of the electronic structure is established.
Ali Tayefeh Younesi +9 more
wiley +1 more source
Multi-Target Tracking Algorithm Combined with High-Precision Map. [PDF]
Sensors (Basel), 2022 An Q, Cai Y, Zhu J, Wang S, Han F.
europepmc +1 more source
Mechanoluminescent HOF Nanotransducers Enabled Sono‐Optogenetics in Parkinsonian Rats
Advanced Functional Materials, EarlyView.We present a mechanoluminescent system utilizing porous hydrogen‐bonded organic frameworks (HOFs) as a toolkit for focused ultrasound‐triggered, non‐invasive light delivery to the deep brain in rats. This approach enables the specific activation of PV‐GPe neurons in dopamine‐depleted Parkinson's disease rat models, resulting in a comparable alleviation
Wenliang Wang +18 more
wiley +1 more source