Results 81 to 90 of about 15,106 (288)

Radar Detection Simulation by Digital Twins of Target and Antenna System

Известия высших учебных заведений России: Радиоэлектроника
Introduction. The entire concept of product development is currently undergoing significant changes. The application of digital twin technology allows the focus of development to be shifted to the earliest stages, thereby significantly reducing not only ...
A. S. Grigoriev, A. A. Kazantsev, A. M. Terentyev, B. S. Stavtsev   +3 more
doaj   +1 more source

Diffusion‐Based Generative Model With Scaffold‐Hopping Strategy Yields Highly Potent Bioactive Molecules

Advanced Science, EarlyView.
SMarT‐Diff introduces a multi‐objective generative paradigm that integrates scaffold hopping with structure‐aware scoring to enable controlled exploration beyond the training distribution. The framework consistently balances drug‐likeness, synthesizes accessibility and bioactivity, yielding chemically diverse candidates with enhanced properties.
Yuwei Yang, Xiaoqing Gong, Shukai Gu, Jing Li, Bo Liu, Yanan Tian, Qianqian Zhang, Xiaojun Yao, Huanxiang Liu   +8 more
wiley   +1 more source

Detection of multiplicative noise in stationary random processes using second- and higher order statistics [PDF]

, 2000
This paper addresses the problem of detecting the presence of colored multiplicative noise, when the information process can be modeled as a parametric ARMA process.
Coulon, Martial, Tourneret, Jean-Yves, Swami, Ananthram   +2 more
core   +1 more source

PancDS in Real‐World Practice: A Prospective Multicenter Validation of a Clinical Decision‐Support System Bridging Experience Gaps in Pancreatic Lesion Diagnosis

Advanced Science, EarlyView.
A biomimetic artificial intelligence system, PancDS, has been developed to distinguish pancreatic ductal adenocarcinoma from mass‐forming pancreatitis by adaptively integrating clinical data, radiomics, and deep learning features. Validated across multicenter, reader‐study, and prospective settings, PancDS improves diagnostic accuracy, particularly for
Zhibo Wang, Weinuo Qu, Wenwen Cai, Chuhuai Wang, Chenxi Lyu, Qingguo Xie, Qian Chu, Yaqi Shen, Peng Xiao, Feng Li, Qingpeng Zhang, Jiali Li, Jeong Min Lee, Zhen Li   +13 more
wiley   +1 more source

MEASUREMENT OF THICKNESSES OF OPTICALLY TRANSPARENT LAYERED STRUCTURES BY THE SPECTRAL INTERFEROMETRY METHOD [PDF]

Радиофизика и электроника, 2017
The results of applying the method of spectral interferometry in optical band for measuring the thicknesses of thin films are presented in this paper. We have analyzed analytically and experimentally the spectrum of the total radiation at the output of ...
K. A. Lukin, D. N. Tatyanko, A. B. Pikh, O. V. Zemlyaniy   +3 more
doaj   +1 more source

Circulating Amino Acid Network Remodeling Reveals Systemic Metabolic Reprogramming Predictive of Colorectal Cancer Recurrence and Metastasis

Advanced Science, EarlyView.
Blood‐based amino acid patterns measured by 19F NMR reveal hidden metabolic changes in colorectal cancer. By analyzing how these amino acids interact as a network, machine learning models identify patients at higher risk of recurrence and metastasis.
Ji‐Yeon Lee, Jumi Kim, Taehan Yoon, So Hyun Kwon, Su Chan Park, Dohyun Chun, Dohyeong Kim, Eun Jung Park, Hyunwoo Kim, Ji Min Lee   +9 more
wiley   +1 more source

Continuous - Emission Noise Radar: Design Criteria and Waveforms [PDF]

, 2020
The exploitation of the main advantages of Noise Radar Technology (NRT) and the possible solution of relevant problems are considered in this paper, with special attention to Continuous-Emission Noise-Radar (CE NR) architecture and to the waveforms ...
Gabriele Pavan, Pavan, Gabriele, Gaspare Galati, Galati, Gaspare, Christoph Wasserzier, Wasserzier, Christoph   +5 more
core   +1 more source

Uncertainty‐Aware Deep Ensembles for Robust and Reliable Chemical Sensor Arrays

Advanced Science, EarlyView.
A reliability‐aware electronic nose is developed using photothermally anchored metal‐catalyst decorated metal oxide nanofiber sensor arrays combined with deep ensemble learning. Diverse catalytic nanofiber channels generate gas‐specific response patterns, enabling selective identification and quantification of sulfur‐containing gases.
Sungwoo Eo, Ji‐Hwan Eum, Suk‐Jeong Kwon, Minji Sagong, Dongchan Kim, Dong‐Ha Kim   +5 more
wiley   +1 more source

An Improved Space-Based ISAR Simulation Method Using Two-Line Element Data

Sensors
Inverse synthetic aperture radar (ISAR) technology is widely used in the field of target recognition, and radar simulation technology is also being extensively studied. The present study focuses on the digital simulation of ISAR technology and proposes a
Wenjie Zhu, Hongxing Hao, Ronghuan Yu, Desheng Liu   +3 more
doaj   +1 more source

CauFinder: Steering Cell‐State and Phenotype Transitions by Causal Disentanglement Learning

Advanced Science, EarlyView.
CauFinder combines causal disentanglement modeling and network control to prioritize causal drivers of cell‐state transitions from observational transcriptomic data. The framework separates transition‐relevant signals from spurious associations, nominates intervention targets across biological and disease contexts, and identifies DAAM1 as an actionable
Chengming Zhang, Zexi Chen, Yuanxiang Miao, Zuolin Shen, Deyu Cai, Shijie Tang, Yun Xue, Weifeng Guo, Hongbin Ji, Jian Liu, Kazuyuki Aihara, Luonan Chen   +11 more
wiley   +1 more source