Results 71 to 80 of about 277,741 (273)

Integration Convolutional Neural Network for Person Re-Identification in Camera Networks

IEEE Access, 2018
In this paper, we propose a novel deep model named integration convolutional neural network (ICNN) for person re-identification in camera networks, which jointly learns global and local features in a unified framework.
Zhong Zhang, Tongzhen Si, Shuang Liu
doaj   +1 more source

High‐Index, Low‐Loss Optical Material Platforms for Ultra‐Broadband Ultraviolet‐to‐Visible Achromatic Metalenses

Advanced Functional Materials, EarlyView.
An integrated material platform combining engineered SiNx thin films and printable ZrO2 nanoparticle‐embedded resin enables broadband achromatic metalenses from the ultraviolet to visible range. The demonstrated meta‐optics achieve near‐diffraction‐limited focusing with minimal chromatic aberration.
Hyunjung Kang, Dongmin Jeon, Eunji Lee, Junsuk Rho   +3 more
wiley   +1 more source

Coarse-Fine Convolutional Neural Network for Person Re-Identification in Camera Sensor Networks

IEEE Access, 2019
In this paper, we present a novel deep model named coarse-fine convolutional neural network (CFCNN) for person re-identification in camera sensor networks, which jointly learns global and multi-scale local features simultaneously.
Zhong Zhang, Haijia Zhang, Shuang Liu
doaj   +1 more source

Correntropy-based DOA estimation algorithm under impulsive noise environments

EURASIP Journal on Wireless Communications and Networking, 2020
In this paper, the direction of arrival (DOA) estimation of signals in the presence of impulsive noise environment is studied. Complex isotropic symmetric alpha-stable (SαS) random variables are modeled as impulsive noise, then a novel second-order ...
Jin Chen, Sheng Guan
doaj   +1 more source

Optoelectrical Devices for Neural Interfacing: Engineering Integration, Stability, and Multimodal Sensing

Advanced Healthcare Materials, EarlyView.
Implantable optoelectrical devices are an effective resource for the modulation and monitoring of neural activity with high spatiotemporal resolution. This review discusses current challenges faced by these devices and outlines future perspectives for the development of next‐generation neural interfaces targeting chronic, multisite, and multimodal ...
Stella Aslanoglou, Barbara Spagnolo, Antonio Balena, Massimo De Vittorio, Ferruccio Pisanello   +4 more
wiley   +1 more source

Objective Emotion Assessment Using a Triple Attention Network for an EEG-Based Brain–Computer Interface

Brain Sciences
Background: The assessment of emotion recognition holds growing significance in research on the brain–computer interface and human–computer interaction.
Lihua Zhang, Xin Zhang, Xiu Zhang, Changyi Yu, Xuguang Liu   +4 more
doaj   +1 more source

Performance Investigation of DFT-Spread OFDM Signal for Short Reach Communication Systems Beyond NG-PON2

IEEE Access, 2019
In this paper, we investigate the performance of a discrete Fourier transform (DFT)-spread OFDM signal in an intensity-modulation/direct-detection system.
Yupeng Li, Jiawei Han, Xiaonan Zhao
doaj   +1 more source

Wireless Electrical Power Transmission

International Journal of Computer Applications, 2010
Sandip B. Shrote E & Tc Deptt. SGREFS, COEM, Ahmednagar Vrushali P. Wani Elex Deptt SGREFS, COEM Ahmednagar This technology power can be transferred through this free space by microwave. The wireless power transmission by focus the electromagnetic beam of microwave or laser radiation is most modern type of power engineering for different places in ...
Dhananjay E. Upasani, Sandip B. Shrote, Vrushali P. Wani   +2 more
openaire   +1 more source

Smart Face Masks as Wearable Respiratory Sensors: A Review of Sensor Technologies, Materials, and Future Directions

Advanced Healthcare Materials, EarlyView.
This review highlights recent advances in smart face masks that actively monitor breathing. By integrating humidity, gas, temperature, pressure, strain, and triboelectric sensors, these masks track key respiratory parameters in real time. The article summarizes sensor mechanisms, compares performance across studies, and discusses challenges and future ...
Negin Faramarzi, Naseeh Backer Kannanthodi, Alice Nicole Casling, Babar Ali, Samira Lakouraj Mansouri, Alessandro Giuseppe D'aloia, Hossein Cheraghi Bidsorkhi, Maria Sabrina Sarto   +7 more
wiley   +1 more source

Soft Neural Interfaces for Circuit‐Level Analysis of Magnetogenetic Deep Brain Stimulation in Parkinson's Disease Models

Advanced Healthcare Materials, EarlyView.
ABSTRACT Magnetogenetic deep brain stimulation (MG‐DBS) represents a wireless neuromodulation that has demonstrated long‐lasting behavioral benefits in Parkinson's disease models. However, the circuit‐level mechanisms underlying these therapeutic effects have remained uncharacterized due to limitations of conventional neural interfaces.
Jakyoung Lee, Yeongdo Lee, Enji Kim, Hunkyu Seo, Myoungjae Oh, Hanho Joo, Somin Lee, Jae‐Hyun Lee, Hyun Ho Jung, Minsuk Kwak, Jang‐Ung Park   +10 more
wiley   +1 more source