Results 181 to 190 of about 4,817,825 (346)

Pedestrian Control at Intersections (Phase I)

, 1996
This report describes a real-time system for tracking pedestrians in sequences of grayscale images acquired by a stationary camera. The system outputs the spatio-temporal coordinates of each pedestrian during the period when the pedestrian is visible ...
Richards, Charles A., Papanikolopoulos, Nikolaos P., Masoud, Osama   +2 more
core  

Interlayer‐Sliding‐Enabled Multiferroicity and Giant Switchable Anomalous Hall Conductivity in RuO2Zn2F2 Bilayer

Advanced Science, EarlyView.
Interlayer sliding in the RuO2Zn2F2 bilayer induces ferroelectricity and enables reversible valley polarization switching. The electric dipole and valley‐resolved band edges are intimately coupled, revealing sliding ferroelectricity as a powerful mechanism for electrical control of valley degrees of freedom in 2D materials.
Djamel Bezzerga, Imran Khan, Ganie Suhail Ahmad, Jisang Hong   +3 more
wiley   +1 more source

Two-Stage Pedestrian Detection Model Using a New Classification Head for Domain Generalization. [PDF]

Sensors (Basel), 2023
Schulz D, Perez CA.
europepmc   +1 more source

Pedestrian Control at Intersections: Phase IV

, 2000
This report represents a real-time system for pedestrian tracking in sequences of greyscale images acquired by a stationary camera. Researchers also developed techniques for recognizing pedestrians' actions, such as running and walking, and ...
Papanikolopoulos, Nikolaos P., Masoud, Osama   +1 more
core  

Temperature‐Resilient Reconfigurable Physical Unclonable Function Driven by Pulse Modulation Using CMOS‐Integrated Spintronic Chips

Advanced Science, EarlyView.
A reconfigurable physical unclonable function is developed using CMOS‐integrated SOT‐MRAM chips, leveraging a dual‐pulse strategy and offering enhanced environmental robustness. A temperature‐compensation effect arising from the CMOS transistor and SOT‐MTJ is revealed and established as a key prerequisite for thermal resilience.
Min Wang, Chuanpeng Jiang, Zhaohao Wang, Zhengyi Hou, Zhongkui Zhang, Yuanfu Zhao, Hong‐xi Liu, Weisheng Zhao   +7 more
wiley   +1 more source

Deep Learning Based on Parallel CNNs for Pedestrian Detection

International Journal of Information and Communication Technology Research, 2018
Recently, deep learning methods, mostly algorithms based on Deep Convolutional Neural Networks (DCNNs) have yielded great results on pedestrian detection. Algorithms based on DCNNs spontaneously learn features in a supervised manner and are able to learn
Mahmoud Saeidi, Ali Ahmadi
doaj  

Rational Design of Broad‐Spectrum Anti‐Enteroviral Molecular Glues Targeting Enteroviral RNAi Suppressors

Advanced Science, EarlyView.
By leveraging this homodimerization mechanism, molecular glues were rationally designed to induce dysfunctional 3A dimerization, thereby restoring antiviral RNAi. The optimal molecular glue, VTP‐32, demonstrated potent and pan‐enterovirus (groups A, B, D) antiviral effects.
Yuan Fang, Xiong Xie, Huidi Fan, Botao Wu, An Wang, Wenhao Dai, Zezhong Liu, Jian Li, Huoyan Tong, Jianan Li, Yujie Ren, Jinlin Wang, Xi Zhou, Hong Liu   +13 more
wiley   +1 more source

A Preliminary Study of Deep Learning Sensor Fusion for Pedestrian Detection. [PDF]

Sensors (Basel), 2023
Plascencia AC, García-Gómez P, Perez EB, DeMas-Giménez G, Casas JR, Royo S.   +5 more
europepmc   +1 more source

Dual‐Network Protein Hydrogels Promote Rapid Hemostasis and Immune‐Regulated Scarless Tissue Regeneration

Advanced Science, EarlyView.
A dual‐network protein hydrogel substantially improves hemostasis and scar‐free healing.The adaptive network maintains intimate tissue contact while providing strong wet adhesion, tunable mechanics, and controlled degradation. Concurrent ROS scavenging and M2 polarization suppress fibrotic pathways, preventing scar formation.
Xiaomei Li, Guorui Zhang, Xinyue Wang, Zhongyu Liu, Ling Yang, Yuhan Bao, Min Wei, Yonglin Chen, Yanfei Ma, Wenbo Sheng, Bo Yu, Bin Li   +11 more
wiley   +1 more source

RMP-YOLO: Robust Multi-Scale Pedestrian Detection for Dense Scenarios. [PDF]

Sensors (Basel)
Gui C, Fan Z, Duan T, Wen J.
europepmc   +1 more source