Results 71 to 80 of about 38,141 (258)

Multi-Scene Deception Jamming on SAR Imaging With FDA Antenna

IEEE Access, 2020
Most of the existing deception jamming techniques focus on designing effective jamming signals for static targets or scenes. This paper proposes a multi-scene deception jamming against synthetic aperture radar (SAR) imaging with frequency diverse array ...
Hui Wang, Shunsheng Zhang, Wen-Qin Wang, Bang Huang, Zhi Zheng, Zheng Lu   +5 more
doaj   +1 more source

Deceptive signal generating optimization based on frequency diverse array

IET Radar, Sonar & Navigation, 2022
The direction and position of the radar signals are essential information in the radar countermeasure, and with the development of the reconnaissance system, the radar is facing more severe threats.
Jiaang Ge, Junwei Xie, Chushu Chen
doaj   +1 more source

Accomodating Pharmacogenomics: Fulfilling the Promise of Individualized Medicine [PDF]

, 2012
Pharmacogenomic technologies promise to usher in an era of individualized medicine, but also pose challenges to a regulatory regime without experience dealing with the sorts of data produced by these techniques.
Fahnestock, Derek
core  

Computational strategies for dissecting the high-dimensional complexity of adaptive immune repertoires

, 2017
The adaptive immune system recognizes antigens via an immense array of antigen-binding antibodies and T-cell receptors, the immune repertoire. The interrogation of immune repertoires is of high relevance for understanding the adaptive immune response in ...
Afzal, Ahmed, Albert, Amanna, Andrews, Angermueller, Apeltsin, Arden, Atchley, Avnir, Barabási, Barak, Bashford-Rogers, Bastian, Baum, Becattini, Ben-Hamo, Berger, Betz, Boc, Bolen, Bolkhovskaya, Bolotin, Bouckaert, Boyd, Boyd, Breden, Brown, Burnet, Bürckert, Calis, Castro, Chang, Chao, Chen, Ching, Cobey, Collins, Corcoran, Covacu, Csardi, Cui, Dash, de Bourcy, DeKosky, DeKosky, DeWitt, Dziubianau, Elhanati, Elhanati, Elhanati, Ellebedy, Emerson, Felsenstein, Friedensohn, Gadala-Maria, Galson, Galson, Geering, Georgiou, Ghraichy, Giribet, Giudicelli, Glanville, Glanville, Glanville, Good, Granato, Greiff, Greiff, Greiff, Greiff, Greiff, Grigaityte, Guindon, Gupta, Gupta, Hagberg, Halliley, Hammarlund, Heather, Hershberg, Hochreiter, Hoehn, Hoehn, Hoehn, Horns, Howie, Iversen, Jackson, Janeway, Jiang, Johnston, Jost, Jurtz, Kaplinsky, Kaplinsky, Kendall, Khavrutskii, Kidd, Kidd, Kidera, Kirik, Konishi, Kumar, Landsverk, Larkin, Lavinder, Laydon, Laydon, Lee, Lee, Lewitus, Li, Lindeman, Lindner, Liu, Love, Lozupone, Madi, Madi, Malissen, Mamoshina, Mangul, Manz, Martin, Meng, Miho, Mora, Morisita, Murugan, Nazarov, Nouri, Oakes, Ostmeyer, Paradis, Parameswaran, Parola, Pinheiro, Pollok, Ralph, Ravn, Reddy, Rempala, Rempala, Revell, Rizzetto, Robinson, Ronquist, Roybal, Rubelt, Rubelt, Safonova, Schliep, Schramm, Schwab, Shannon, Sheng, Sheng, Shlemov, Shugay, Shugay, Shugay, Snir, Snir, Stamatakis, Stern, Strauli, Stubbington, Stubbington, Sun, Sun Cinelli, Swofford, Thomas, Tickotsky, Tonegawa, Torkamani, Trepel, VanDuijn, Venturi, Venturi, Vieira, Vita, Wang, Wardemann, Warren, Watson, Watson, Watson, Weinstein, Wine, Wine, Wu, Yaari, Yaari, Yang, Yeap, Yermanos, Yokota, Yu, Zhu   +200 more
core   +1 more source

Why De Minimis? [PDF]

, 2007
De minimis cutoffs are a familiar feature of risk regulation. This includes the quantitative individual risk thresholds for fatality risks employed in many contexts by EPA, FDA, and other agencies, such as the 1-in-1 million lifetime cancer risk cutoff ...
Adler, Matthew D.
core   +3 more sources

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

Advanced Science, EarlyView.
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu, Haolin Fan, Minwoo Kim, Tong Zhou, Pinyi Yang, Lingdi Zhao, Yiran Wang, Ziyuan Che, Chia‐Wei Liu, Bingbing Li, Yangzhi Zhu   +10 more
wiley   +1 more source

Joint Sparsity-Based Range-Angle-Dependent Beampattern Synthesis for Frequency Diverse Array

IEEE Access, 2017
For frequency diverse array (FDA) range-angle-dependent beampattern synthesis, the objective is to obtain the desired beampattern performance using fewer antenna elements or smaller aperture.
Hui Chen, Huai-Zong Shao, Wen-Qin Wang
doaj   +1 more source

Frequency Diverse Array Target Localization Based on IPSO-BP

International Journal of Antennas and Propagation, 2020
For the traditional target localization algorithms of frequency diverse array (FDA), there are some problems such as angle and distance coupling in single-frequency receiving FDA mode, large amount of calculation, and weak adaptability.
Qinghua Liu, Kai Ding, Bingsen Wu, Quanmin Xie   +3 more
doaj   +1 more source

Antenna Beampattern With Range Null Control Using Weighted Frequency Diverse Array

IEEE Access, 2020
The range-angle-dependent beampattern of frequency diverse array (FDA) makes it capable of dealing with range-dependent interference, which cannot be handled by conventional phased array. However, current publications pay more attention to the dot-shaped
Yi Liao, Hu Tang, Xiaolong Chen, Wen-Qin Wang, Mengdao Xing, Zhi Zheng, Jian Wang, Qing Huo Liu   +7 more
doaj   +1 more source

The DOA location deception effect of frequency diverse array on interferometer

IET Radar, Sonar & Navigation, 2021
With advances in radar localisation, especially the emergence and development of passive localisation, there is an urgent demand for countermeasure technology.
Jiaang Ge, Junwei Xie, Bo Wang, Chushu Chen   +3 more
doaj   +1 more source