Results 161 to 170 of about 220,793 (302)

Tunneling‐Controlled Fusion of Short‐ and Long‐Term Memory in SiO2/HfO2‐Based Neuromorphic Device for Time‐Series Prediction

Advanced Science, EarlyView.
Based on trap‐assisted tunneling, the devices can fuse STM/LTM, where the low switching energy of 1 pJ and stable low‐power retention (0.2 % loss ratio and 3.05 × 10−11 W) is achieved. Training in a long short‐term memory network it allows to analysis time‐series data and then makes precise long‐term predictions with an error ratio of 4.465 ...
Chengdong Yang, Lihua Xu, Linlin Su, Yue Wu   +3 more
wiley   +1 more source

Machine Learning‐Enhanced Analysis of Exosomal Surface Sialic Acid Using Surface‐Enhanced Raman Spectroscopy for Ovarian Cancer Diagnosis and Therapeutic Monitoring

Advanced Science, EarlyView.
Machine learning‐assisted surface‐enhanced Raman spectroscopy analysis of exosomal sialic acid for ovarian cancer diagnosis, as well as independent monitoring of exosomal sialic acid expression levels across different treatment periods, reveals a potential correlation with treatment response.
Lili Cong, Jiaqi Wang, Sijun Huang, Xiaxia Man, Yi Guo, Shuping Xu, Songling Zhang   +6 more
wiley   +1 more source

Kth Root Transformation for a subclass of Log-Sigmoid Analytic Function based on Quasi-Subordination

, 2018
M. Hari Priya, R. B. Sharma, Virendra Kumar   +2 more
openalex   +1 more source

Microenvironment‐Guided Evolution of ssDNA‐SWCNT Probes for Selective Recognition of Aggressive Prostate Cancer Phenotypes

Advanced Science, EarlyView.
Random ssDNA–SWCNT(single strand DNA‐single walled carbon nanotube) library is functionally screened and evolved using high‐throughput 3D prostate tumor spheroids via iterative positive and negative selection, enabling the identification of NIR‐II fluorescent ssDNA‐SWCNT nanoprobe specific for prostate cancer.
Dakyeon Lee, Seok‐Hyeon Lee, Yunseo Jung, Jeongho Lee, Min‐Seo Choi, SaeOck Oh, Sungjee Kim, Byoung Soo Kim, Sanghwa Jeong   +8 more
wiley   +1 more source

Target Tracking by a Quadrotor Using Proximity Sensor Fusion Based on a Sigmoid Function ⁎ ⁎This work was sponsored by the Department of Aerospace Engineering, Indian Institute of Technology Madras as a part of their summer research fellowship programme for undergraduate students.

, 2018
Varun Nayak, Raksha Rao Karaya
openalex   +1 more source

On the Approximation of the Generalized Cut Function of Degree p+1 By Smooth Sigmoid Functions [PDF]

, 2015
Nikolay Kyurkchiev, Svetoslav Markov
openalex   +1 more source

Redox‐Programmed Activation of a Dual‐Modal Probe for High‐Fidelity Tumor Delineation and Image‐Guided Surgery

Advanced Science, EarlyView.
This study presents a glutathione (GSH)‐activatable dual‐modality probe (GAP9) with a redox‐tuned activation window for precise tumor detection. It remains quenched (“OFF”) in normal tissue yet activates specifically in tumors for T1‐weighted magnetic resonance imaging (MRI) preoperative mapping and near‐infrared II (NIR‐II) fluorescence intraoperative
Haohao Yan, Yanbin Feng, Qian Jia, Ruili Zhang, Zhongliang Wang   +4 more
wiley   +1 more source

Revised GMDH-type Neural Network Algorithm with a Feedback Loop Identifying Sigmoid Function Neural Network

, 2006
Tadashi Kondo
openalex   +2 more sources

Structure‐Dependent Resonant Frequency Engineering of Textile Tactile Sensors Toward Rapid and Precise Braille Recognition Surpassing Human Sensation

Advanced Science, EarlyView.
A resonant frequency engineering strategy is proposed to modulate the sensibility of piezoresistive textile‐based tactile sensor. It achieves simultaneous detection of static pressure and dynamic vibrations across an unprecedented bandwidth of 5–600 Hz, surpassing human sensation, therefore enables rapid and precise braille recognition.
Xianhong Zheng, Runrun Zhang, Yu Shi, Zhao Zhang, Guiyang Li, Zhengliang Shang, Xin Liu, Fan Zhao, Sheng Hu, Ran Xu, Shuai Wang, Zhiqi Zhao, Zhi Liu, Lihua Zou, Xu Han, Zongqian Wang, Wei Huang, Gengzhi Sun   +17 more
wiley   +1 more source

A cross-country analysis of feasible income equality using the sigmoid function and the Boltzmann distribution. [PDF]

PLoS One
Sitthiyot T, Holasut K.
europepmc   +1 more source