Results 81 to 90 of about 27,881 (274)

Stretching the Printability Metric in Direct‐Ink Writing with Highly Extensible Yield‐Stress Fluids

Advanced Functional Materials, EarlyView.
This study introduces “drawability” as a new metric for assessing printability in direct‐ink writing, focusing on gap‐spanning performance and speed robustness. By designing yield‐stress fluids with high extensibility, we demonstrate that extensional strain‐to‐break significantly enhances printability.
Chaimongkol Saengow, Samya Sen, Joaquin Yus, Eliza E. Lovrich, Amanda G. Hoika, Kelly M. Chang, Arielle A. Pfeil, Nellie Haug, Amy J. Wagoner Johnson, Randy H. Ewoldt   +9 more
wiley   +1 more source

A Weakly Supervised Approach for Estimating Spatial Density Functions from High-Resolution Satellite Imagery

, 2018
We propose a neural network component, the regional aggregation layer, that makes it possible to train a pixel-level density estimator using only coarse-grained density aggregates, which reflect the number of objects in an image region.
Gaughan AE, Kingma Diederik P, Langford Mitchel, Pascual Guillem, Reddi Sashank J, Ronneberger Olaf, Sorichetta Alessandro, Stevens Forrest R   +7 more
core   +1 more source

Near‐Infrared Emitting Lanthanide Catecholate Giant Single Crystals – Morphology Control and Photon Down‐Conversion

Advanced Functional Materials, EarlyView.
Controlled syntheses of lanthanide coordination polymers based on the dihydroxybenzoquinone (DHBQ) organic linker afforded large single crystals of Ln‐DHBQ CPs (Ln = Yb, Nd). A novel structural variant of Yb‐DHBQ is identified by means of single crystal diffraction analysis.
Marina I. Schönherr, Alexander Biewald, Andre Mähringer, Thaddäus J. Koller, Peter Mayer, Markus Döblinger, Achim Hartschuh, Dana D. Medina   +7 more
wiley   +1 more source

Intelligent Anomaly Detection and Localization With Crowd Density Estimation for Improved Public Safety

IEEE Access
The rapid growth of metropolitan populations and large public gatherings has increased the need for intelligent surveillance systems capable of ensuring public safety.
Deevesh Chaudhary, Sunil Kumar, Vijaypal Singh Dhaka   +2 more
doaj   +1 more source

Imaging of Biphoton States: Fundamentals and Applications

Advanced Functional Materials, EarlyView.
Quantum states of two photons exhibit a rich polarization and spatial structure, which provides a fundamental resource of strongly correlated and entangled states. This review analyzes the physics of these intriguing properties and explores the various techniques and technologies available to measure them, including the state of the art of their ...
Alessio D'Errico, Ebrahim Karimi
wiley   +1 more source

Enhanced UAV-Dot for UAV Crowd Localization: Adaptive Gaussian Heat Map and Attention Mechanism to Address Scale/Low-Light Challenges

Drones
In public safety scenarios, such as large-scale event security and urban crowd management, unmanned aerial vehicles (UAVs) serve as a vital tool for crowd localization, offering high mobility and broad coverage.
Min Zhang, Fei Zhao, Yan Zhang
doaj   +1 more source

Locality-Constrained Spatial Transformer Network for Video Crowd Counting [PDF]

2019 IEEE International Conference on Multimedia and Expo (ICME), 2019
Accepted by ICME2019(Oral)
Fang, Yanyan, Zhan, Biyun, Cai, Wandi, Gao, Shenghua, Hu, Bo   +4 more
openaire   +2 more sources

Nanothermometry in Living Cells: Physical Limits, Conceptual and Material Challenges

Advanced Functional Materials, EarlyView.
Heat and temperature are fundamental to life. When nanothermometers began probing regions as small as a living cell, they triggered controversial claims of large intracellular temperature gradients. We review physical constraints energy‐conservation, entropy production, thermodynamic fluctuations, and molecular dynamics.
Taras Plakhotnik
wiley   +1 more source

Accurate indoor localization based on crowd sensing

Wireless Communications and Mobile Computing, 2016
Indoor localization is an important primitive that can enable many ubiquitous computing applications. In this paper, we choose the iBeacon as landmark and improve the localization scheme of iBeacon and inertial navigation through crowd sensing. Specifically, we use crowd sensing to design a parameter learning algorithm for device diversity. Furthermore,
Yingying Guo, Yan Sun, Hong Luo, Nadra Guizani   +3 more
openaire   +2 more sources

Prediction of cell position using single-cell transcriptomic data: an iterative procedure [version 2; peer review: 2 approved]

F1000Research, 2020
Single-cell sequencing reveals cellular heterogeneity but not cell localization. However, by combining single-cell transcriptomic data with a reference atlas of a small set of genes, it would be possible to predict the position of individual cells and ...
Andrés M. Alonso, Alejandra Carrea, Luis Diambra   +2 more
doaj   +1 more source