Results 91 to 100 of about 124,762 (273)

Development of Nanoflare Nanosensors for Monitoring Cellular Insulin mRNA in Beta Cells and Islets

open access: yesAdvanced Materials Technologies, EarlyView.
This study presents the design and application of In2‐NF probes for detecting insulin mRNA in beta cells and islets. Using spherical nucleic acid‐coated gold nanoparticles, the probes offer strong fluorescent signals upon hybridization. Their performance is validated across 2D and 3D cultures and rat islets, demonstrating sensitive, real‐time mRNA ...
Yana Hu   +7 more
wiley   +1 more source

Analysis of Fine-Grained Counting Methods for Masked Face Counting: A Comparative Study

open access: yesIEEE Access
Masked face counting is the counting of faces at various crowd densities and discriminating between masked and unmasked faces, which is generally considered to be an object (i.e., face) detection task.
Khanh-Duy Nguyen   +4 more
doaj   +1 more source

Magnetic Textiles: A Review of Materials, Fabrication, Properties, and Applications

open access: yesAdvanced Materials Technologies, EarlyView.
Magnetic textiles (M‐textiles) are emerging as a programmable materials platform that merges magnetic matter with hierarchical textile structures. This article consolidates magnetic material classes, textile architectures, and fabrication and magnetization strategies, revealing structure–property–function relationships that govern magneto‐mechanical ...
Li Ke   +3 more
wiley   +1 more source

Recurrent Distillation based Crowd Counting

open access: yes, 2020
In recent years, with the progress of deep learning technologies, crowd counting has been rapidly developed. In this work, we propose a simple yet effective crowd counting framework that is able to achieve the state-of-the-art performance on various crowded scenes. In particular, we first introduce a perspective-aware density map generation method that
Gu, Yue, Liu, Wenxi
openaire   +2 more sources

Broadband Directional Thermal Radiation with Asymmetric Femtosecond Laser‐Processed Surfaces

open access: yesAdvanced Optical Materials, EarlyView.
Femtosecond laser processing is used to scalably create self‐organized angled microstructures which exhibit highly directional emissivity that occurs for all polarizations. Laser parameters are tuned to alter the surface features, control the direction of emission, and enhance the directional emissivity. Electromagnetic modeling is performed to analyze
Andrew Butler   +8 more
wiley   +1 more source

Floor-Field-Guided Neural Model for Crowd Counting

open access: yesIEEE Access
Crowd 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

Learning Discriminative Features for Crowd Counting

open access: yesIEEE Transactions on Image Processing
Crowd counting models in highly congested areas confront two main challenges: weak localization ability and difficulty in differentiating between foreground and background, leading to inaccurate estimations. The reason is that objects in highly congested areas are normally small and high level features extracted by convolutional neural networks are ...
Yuehai Chen   +5 more
openaire   +3 more sources

Information Transmission Strategies for Self‐Organized Robotic Aggregation

open access: yesAdvanced Robotics Research, EarlyView.
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng   +5 more
wiley   +1 more source

Lightweight multi-stage temporal inference network for video crowd counting

open access: yesFrontiers in Physics
Crowd density is an important metric for preventing excessive crowding in a particular area, but it still faces challenges such as perspective distortion, scale variation, and pedestrian occlusion.
Wei Gao   +3 more
doaj   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

open access: yesAdvanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki   +2 more
wiley   +1 more source

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