Results 81 to 90 of about 40,421 (274)

Nanomaterial Integration at Liquid–Liquid Interfaces for Green Catalysis

Advanced Materials, EarlyView.
Functional nanomaterials assembled at liquid–liquid interfaces create dual‐role platforms serving as emulsion stabilizers and catalytic sites, offering enhanced reaction kinetics with improved catalyst recovery and recyclability. This review examines design strategies, structure‐performance relationships, and industrial implementation prospects of ...
Bokgi Seo, Jaewon Shin, Minkyoung Jang, Kyoungho Choi, Tengfei Pang, Fangrui Zhong, Jin Woong Kim   +6 more
wiley   +1 more source

Crowd Counting in Low-Resolution Crowded Scenes Using Region-Based Deep Convolutional Neural Networks

IEEE Access, 2019
Crowd counting and density estimation is an important and challenging problem in the visual analysis of the crowd. Most of the existing approaches use regression on density maps for the crowd count from a single image.
Muhammad Saqib, Sultan Daud Khan, Nabin Sharma, Michael Blumenstein   +3 more
doaj   +1 more source

Integrating ZnO/Ag2O@g‐C3N4‐Based Nanocomposites Into a Carrageenan Matrix to Efficiently Remove Heavy Metals From Water

Advanced Materials Interfaces, EarlyView.
ABSTRACT This research focused on characterizing graphitic carbon nitride (g‐C3N4) nanocomposites incorporated with ZnO and Ag2O nanoparticles, and carrageenan to remove heavy metals. The ZnO/Ag2O@ g‐C3N4 and ZnO/Ag2O/g‐C3N4@Carr nanocomposites demonstrated thermal stability of 97.40% (108.81°C) and 82.80% (188.99°C) for TGA.
Feziwe B. Mamba, Bhekani S. Mbuli, James Ramontja   +2 more
wiley   +1 more source

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

Advanced 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, Qizheng Zhang, Tianli Hu, Juewen Liu, Hongxing Fu, Xin Zhao, Zijiang Yang, Chenjie Xu   +7 more
wiley   +1 more source

Crowd Density Estimation Using Enhanced Multi-Column Convolutional Neural Network and Adaptive Collation

IEEE Access
Accurate crowd density estimation is essential for public safety operations, urban and transportation design and multiple intelligent systems. The research presents an improved Multi-Column Convolutional Neural Network (MC-CNN) structure to predict crowd
Azamat Serek, Beibut Amirgaliyev, Rita Yi Man Li, Ainur Zhumadillayeva, Didar Yedilkhan   +4 more
doaj   +1 more source

Crowd Density Estimation using Novel Feature Descriptor

, 2019
Crowd density estimation is an important task for crowd monitoring. Many efforts have been done to automate the process of estimating crowd density from images and videos. Despite series of efforts, it remains a challenging task. In this paper, we proposes a new texture feature-based approach for the estimation of crowd density based on Completed Local
Alanazi, Adwan Alownie, Bilal, Muhammad
openaire   +2 more sources

Direct Laser Writing of Magnetic Micro Actuators With a Stimulus‐Responsive Compliant Hinge

Advanced Materials Technologies, EarlyView.
This study presents a versatile modular design strategy for adaptive 3D microactuators. Using two‐photon‐induced C,H insertion reactions within solid polymer layers, chemically distinct hinge and stimulus responsive materials are patterned in one step. The hinge's properties enable tunable motion, mechanical control, and reconfigurable actuation across
Eleonora Galli, Nicolas Geid, Yizheng Liu, Friederike Strahl, Jürgen Rühe   +4 more
wiley   +1 more source

An Improved Convolutional Neural Network on Crowd Density Estimation

ITM Web of Conferences, 2016
In this paper, a new method is proposed for crowd density estimation. An improved convolutional neural network is combined with traditional texture feature.
Pan Shao-Yun, Guo Jie, Huang Zheng
doaj   +1 more source

Aluminum Oxynitride‐Engineered Transparent Aluminum Nitride Resistive Memory for Low‐Leakage Multilevel Switching in Micro‐LED Pixels

Advanced Materials Technologies, EarlyView.
An AlON interfacial layer is engineered within an AlN switching layer to enable transparent RRAM with four stable resistance states. The device achieves low‐voltage multilevel switching and a high HRS, allowing precise grayscale modulation and preventing light leakage in micro‐LEDs operated at VDD = 2.7 V.
Sung Keun Choi, Ho Jin Lee, Seok Hee Hong, Jae Seong Park, Chan Ho Ryu, Kyeong Heon Kim, Tukaram D. Dongale, Tae Geun Kim   +7 more
wiley   +1 more source

Information Transmission Strategies for Self‐Organized Robotic Aggregation

Advanced 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, Zihan Li, Yifeng Shao, Jinhao Liu, Li Yu, Shuguang Li   +5 more
wiley   +1 more source