Results 71 to 80 of about 4,036,534 (282)

Conditional density estimation with class probability estimators [PDF]

, 2009
Many regression schemes deliver a point estimate only, but often it is useful or even essential to quantify the uncertainty inherent in a prediction. If a conditional density estimate is available, then prediction intervals can be derived from it.
Remco R. Bouckaert, Eibe Frank, Frank, Eibe, Bouckaert, Remco R.   +3 more
core   +1 more source

Electrolyte Design for Fast‐Charging Lithium‐Based Batteries

Advanced Materials, EarlyView.
A decade of progress in fast‐charging electrolytes for lithium batteries is reviewed. Electrolyte design strategies spanning solvents, salts, additives, and advanced systems, such as localized high‐concentration electrolytes (LHCEs), are summarized. Advanced diagnostic tools for lithium plating and interphase chemistry are discussed, with perspectives ...
Chen Liu, Zehao Cui, Arumugam Manthiram
wiley   +1 more source

CASA-Crowd: A Context-Aware Scale Aggregation CNN-Based Crowd Counting Technique

IEEE Access, 2019
The accuracy of object-based computer vision techniques declines due to major challenges originating from large scale variation, varying shape, perspective variation, and lack of side information.
Naveed Ilyas, Ashfaq Ahmad, Kiseon Kim
doaj   +1 more source

Spatial Control of Light‐Responsive Proteins and Optogenetics Within Hydrogels via Volumetric Bioprinting

Advanced Materials, EarlyView.
Spatiotemporal control over cell behavior within bioprinted constructs remains a key challenge in biofabrication. Volumetric bioprinting using multi‐wavelength light sources permits to activate light‐sensitive intracellular proteins as well as optogenetic gene and protein expression circuits in bioprinted cells, in addition to enabling fast printing of
Davide Ribezzi, Pere Català, Gabriel Größbacher, Paulina Nuñez Bernal, Olaf Nijssen, Sammy Florczak, Wilco Nijenhuis, Nuria Crusellas‐Villorbina, Bram Nijhoff, Paul Delrot, Jos Malda, Andreas Hierholzer, Martin Fussenegger, Lukas C. Kapitein, Riccardo Levato   +14 more
wiley   +1 more source

Crowd Monitoring and Localization Using Deep Convolutional Neural Network: A Review

Applied Sciences, 2020
Crowd management and monitoring is crucial for maintaining public safety and is an important research topic. Developing a robust crowd monitoring system (CMS) is a challenging task as it involves addressing many key issues such as density variation ...
Akbar Khan, Jawad Ali Shah, Kushsairy Kadir, Waleed Albattah, Faizullah Khan   +4 more
doaj   +1 more source

Automated Decision Technique for the Crowd Estimation Method Using Thermal Videos

Applied Computational Intelligence and Soft Computing, 2022
Counting and detecting the pedestrians is an important and critical aspect for several applications such as estimation of crowd density, organization of events, individual’s flow control, and surveillance systems to prevent the difficulties and ...
Nermin K. Negied, Ayman El-Sayed, Asmaa S. Hassaan   +2 more
doaj   +1 more source

All‐Amyloid Functional Coacervates

Advanced Materials, EarlyView.
This study introduces an all‐amyloid interfacial complex coacervate technique that employs charge‐mediated or functionalization‐assisted complexation of oppositely charged food protein‐derived amyloid nanofibrils to engineer functional soft constructs across multiple length scales.
Seyyed Alireza Hashemi, Mohammad Peydayesh, Laura Baraldi, Mohammad Arjmand, Raffaele Mezzenga   +4 more
wiley   +1 more source

A comprehensive survey of crowd density estimation and counting

IET Image Processing
Abstract Crowd counting is one of the important and challenging research topics in computer vision. In recent years, with the rapid development of deep learning, the model architectures, learning paradigms, and counting accuracy have undergone significant changes.
Mingtao Wang, Xin Zhou, Yuanyuan Chen 0006   +2 more
openaire   +2 more sources

Cumulative Attribute Space for Age and Crowd Density Estimation [PDF]

2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013
A number of computer vision problems such as human age estimation, crowd density estimation and body/face pose (view angle) estimation can be formulated as a regression problem by learning a mapping function between a high dimensional vector-formed feature input and a scalar-valued output.
Chen, K, Gong, S, Xiang, T, Loy, CC, IEEE   +4 more
openaire   +2 more sources

Finite-Time Control of One Dimensional Crowd Evacuation System

Journal of Advanced Transportation, 2019
This paper pertains to the study of finite-time control of one dimensional crowd evacuation system. Benefiting from the research of fluid dynamics and vehicle traffic, a one dimensional crowd evacuation system is constructed, whose density-velocity ...
Wei Qin, Baotong Cui, Zhengxian Jiang
doaj   +1 more source