Results 61 to 70 of about 40,421 (274)
Advanced Functional Materials, EarlyView.Terminal domains of recombinant collagen‐like silk regulate hierarchical self‐assembly across molecular and material scales. We show that terminal domains of collagen‐like silk enhance triple‐helix stability and drive liquid–liquid phase separation, enabling reversible formation of fibers and self‐healing films.
Mengjie Shen +5 more
wiley +1 more source
Floor-Field-Guided Neural Model for Crowd Counting
IEEE AccessCrowd counting and density estimation are the principal objectives of crowd analysis, which offer significant applications in surveillance, event management, and traffic design.
Takehiro Habara, Ryosuke Kojima
doaj +1 more source
Fluorescent Nanosensor for Indole‐3‐Propionic Acid Detection in Gut Health Monitoring
Advanced Healthcare Materials, EarlyView.This work introduces a fluorescent nanosensor system with two optical modalities for detection of indole‐3‐propionic acid (IPA) gut metabolite: (1) blue‐emitting cationic conjugated polyelectrolyte (CP3) and (2) near‐infrared (NIR)‐emitting CP3‐wrapped single‐walled carbon nanotube (SWNT).
Mervin Chun‐Yi Ang +15 more
wiley +1 more source
Advanced Healthcare Materials, EarlyView.Organelle localization‐induced biorthogonal polymerization enables direct synthesis of photostable poly‐AIEgens within targeted organelles for super‐resolution live‐cell imaging. ABSTRACT Real‐time monitoring of dynamic biological processes demands fluorescent probes that can withstand prolonged light exposure without photobleaching—a critical ...
Gaeun Park +4 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 +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 +2 more
doaj +1 more source
Scale and Background Aware Asymmetric Bilateral Network for Unconstrained Image Crowd Counting
Mathematics, 2022 This paper attacks the two challenging problems of image-based crowd counting, that is, scale variation and complex background. To that end, we present a novel crowd counting method, called the Scale and Background aware Asymmetric Bilateral Network ...
Gang Lv +4 more
doaj +1 more source
Density Estimation and Crowd Counting
This study enhances a crowd density estimation algorithm originally designed for image-based analysis by adapting it for video-based scenarios. The proposed method integrates a denoising probabilistic model that utilizes diffusion processes to generate high-quality crowd density maps.
Sunil, Balachandra Devarangadi +2 more
openaire +2 more sources
Advanced Healthcare Materials, EarlyView.This study presents a bioengineered assembloid (ASM) system combining glioblastoma (GBM) cells in oxidized alginate (OA) microgels with dorsal organoids (DOs). This model simulates brain tumor‐host interactions, revealing enhanced GBM invasion, altered gene expression, and aggressive infiltration patterns, demonstrating ASM as a valuable platform for ...
Chao Liang +17 more
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