Results 91 to 100 of about 103,056 (292)

Small Sample Target Recognition Based on Radar HRRP and SDAE-WACGAN

IEEE Access
The high resolution range profile (HRRP) of radar targets is commonly used for target recognition, and the recognition of non-cooperative targets is one of the urgent problems to be solved in radar target recognition. In order to address the noise impact
Jianguo Yin, Wen Sheng, He Jiang
doaj   +1 more source

Approximate Computation of DFT without Performing Any Multiplications: Applications to Radar Signal Processing

, 2014
In many practical problems it is not necessary to compute the DFT in a perfect manner including some radar problems. In this article a new multiplication free algorithm for approximate computation of the DFT is introduced. All multiplications $(a\times b)
Akbas, Cem Emre, Arslan, Musa Tunç, Bozkurt, Alican, Sevimli, Rasim Akin, Çetin, A. Enis   +4 more
core   +1 more source

Tumor‐Derived LAMB3 Drives Immunosuppressive LRRC15+ Fibroblast Formation During Pancreatic Ductal Adenocarcinoma Development

Advanced Science, EarlyView.
A single‐cell atlas of pancreatic ductal adenocarcinoma development reveals progressive ductal‐fibroblast‐immune crosstalk. Tumor‐derived LAMB3 drives the formation of immunosuppressive LRRC15+ fibroblasts through the ITGB1/FAK/MAPK/FOSL2 signaling. Glycolytic reprogramming upregulates LAMB3 and correlates with LRRC15+ fibroblast enrichment.
Xuqing Shi, Hangqi Liu, Jianru Sun, Xiaoding Liu, Xinping Jv, Longyun Chen, Yuhan Zhang, Hui Zhang, Xudong Xing, Ruiyu Li, Xinyi Ke, Jun Wang, Xianglin Yin, Bohan Liu, Qixian Liu, Yuan Wang, Junliang Lu, Shiyi Liu, Junyi Pang, Yumeng Cai, Menghua Dai, Fan Bai, Huanwen Wu, Zhiyong Liang   +23 more
wiley   +1 more source

Soft Segmented Randomization: Enhancing Domain Generalization in SAR ATR for Synthetic-to-Measured

IEEE Access
Synthetic aperture radar technology is crucial for high-resolution imaging under various conditions; however, the acquisition of real-world synthetic aperture radar data for deep learning-based automatic target recognition remains challenging due to high
Minjun Kim, Ohtae Jang, Haekang Song, Heesub Shin, Jaewoo Ok, Minyoung Back, Jaehyuk Youn, Sungho Kim   +7 more
doaj   +1 more source

Machine‐Learning Microfluidic Minute‐Scale Microorganism Metrics Monitoring(M6)

Advanced Science, EarlyView.
ABSTRACT On‐site monitoring of microorganisms remains challenging because of low concentrations, strong background interference, and dynamic aerosol diffusion, particularly for aerosol‐transmitted pathogens. Here, we report a rapid detection platform that integrates a Puri‐focusing microfluidic chip, electrochemical impedance spectroscopy (EIS), and ...
Ning Yang, Jiahao Ding, Si Chen, Lijie Yan, Shichao Ding, Lavonda Li, Junyi Sun, Haodong Liu, Tongge Li, Ning Liu, Mingji Wei, Xiaoyong Zhu, Xiaobo Zou, Shouqi Yuan, Xingcai Zhang   +14 more
wiley   +1 more source

Intent Inference and Syntactic Tracking with GMTI Measurements

, 2011
In conventional target tracking systems, human operators use the estimated target tracks to make higher level inference of the target behaviour/intent. This paper develops syntactic filtering algorithms that assist human operators by extracting spatial ...
Balaji, Bhashyam, Krishnamurthy, Vikram, Wang, Alex   +2 more
core   +1 more source

Random Time‐Space Coding Metasurfaces for Spatial Control of the Temporal Statistics of Electromagnetic Fields

Advanced Science, EarlyView.
A probabilistic framework based on random time‐space coding metasurfaces enables control of the spatial distribution of electromagnetic fields temporal statistics. By tailoring the marginal and joint distributions of random codes, electromagnetic fields with desired mean and variance patterns are realized, enabling simultaneous transmission and jamming.
Jia Cheng Li, Jiang Han Bao, Che Liu, Tie Jun Cui   +3 more
wiley   +1 more source

Using a Kernel Adatron for Object Classification with RCS Data

, 2010
Rapid identification of object from radar cross section (RCS) signals is important for many space and military applications. This identification is a problem in pattern recognition which either neural networks or support vector machines should prove to ...
Byl, Marten F., Demers, James T., Rietman, Edward A.   +2 more
core   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Ultra-wideband radar targets discrimination based on discrete E-pulse synthesis

Journal of Telecommunications and Information Technology, 2005
A frequency domain approach to the E-pulse radar target discrimination technique is introduced. This approach allows the interpretation of E-pulse phenomenon via the E-pulse spectrum. The discrete E-pulse and its relation to continuous E-pulse are shown.
Andrey V. Aleksandrov, Timophey J. Shevgunov, Andrey B. Baev, Yury V. Kuznetsov   +3 more
doaj   +1 more source